|5. 熊璋（主编），陈能成（第一编委）. 《智慧城市》，专著，科学出版社，500页，2015年.|
|4. 陈能成，王伟，王超，陈泽强，胡楚丽. 《智慧城市综合管理》，专著，科学出版社，211页，2015年.|
|3. 陈能成，胡楚丽，王晓蕾. 《对地观测传感网资源集成管理的模型与方法》，编著，科学出版社，376页，2014年.|
|1. 陈能成，陈泽强，何杰，闵敏. 《对地观测传感网信息服务的模型与方法》，专著，武汉大学出版社，304页，2013年.|
|87. Xu, L.; Chen, N.;* Zhang, X.; Chen, Z.; An evaluation of statistical, NMME and hybrid models for drought prediction in China. Journal of Hydrology. 2018,566,235-249. (SCI).|
|1) The predictability of drought in China was examined using heterogeneous models.
2) The ‘low POD low POF’ and ‘high POD high POF’ phenomena were presented.
3) The performance of drought prediction remains poor with low PODs and high POFs.
|86. Zhang, X.; Chen, N.;* Chen, Z.; Wu, L.; Li, X.; Zhang, L.; Di, L.; Gong, J.; Li, D.; Geospatial sensor web: A cyber-physical infrastructure for geoscience research and application. Earth-Science Reviews. 2018,185,684-703. (SCI).|
|1) Achieve integrated and sharable management of diverse sensing resources.
2) Obtain real-time or near real-time and spatiotemporal continuous data.
3) Conduct interoperable and online geoscience data processing and analysis.
4) Provide focusing services with web-based geoscience information and knowledge.
|85. Li, B.;* Wang, W.; Bai, L.; Wang, W.; Chen, N.; Effects of spatio-temporal landscape patterns on land surface temperature: a case study of Xi’an city, China. Environmental Monitoring and Assessment. 2018, 190:419. (SCI).|
|1) The LSTs of IS in 1992, 2006 and 2016 were 1.6 °C, 1.8 °C and 3.9 °C higher, respectively, than those of greenspaces.
2) The city of Xi'an has expanded by nearly 6.2 times its initial size over the past 25 years.
3) LST was significantly correlated with ISs and GSs with distance from the city centre.
4) The correlation coefficients of ISs and GSs with LST increased with decreasing grid size.
5) LST was significantly correlated with CA, LSI, and LPI.
|84. Li, B.;* Chen, N.; Wang, Y.; Wang, W.;* Spatio-temporal quantification of the trade-offs and synergies among ecosystem services based on grid-cells: A case study of Guanzhong Basin, NW China. Ecological Indicators. 2018,94(1),246-253. (SCI).|
|1) Spatio-temporal quantification of three key ecosystem services were assessed.
2) Correlation and time-lagged correlation were used to study the ESs interactions.
3) Spatial heterogeneity of paired ESs relationships at the grid were identified.
4) The synergies and trade-offs between the ES were widespread.
|83. Pu, F.; Xu, Z.; Chen, H.; Xu, X.; Chen, N.; A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series. Journal of Sensors. (SCI).|
|82. Hu, C.; Li, J.; Lin, X.; Chen, N.; Yang, C.* An Observation Capability Semantic-Associated Approach to the Selection of Remote Sensing Satellite Sensors: A Case Study of Flood Observations in the Jinsha River Basin. Sensors. 2018,18(5),1649. (SCI).|
|81. Huang, M.; Chen, N.;* Du, W.; Chen, Z.; Gong, J. DMBLC: An Indirect Urban Impervious Surface Area Extraction Approach by Detecting and Masking Background Land Cover on Google Earth Image. Remote Sens. 2018,10(5),766. (SCI).|
|1) A novel indirect ISA extraction conceptual model and a new DMBLC approach are proposed.
2) The key characteristic of DMBLC is to detect the background of ISA (vegetation, soil, and water) accurately and obtain the ISA by masking the background.
3) The DMBLC approach uses a freely available, high-resolution dataset; requires a reduced set of training samples; and consists of relatively simple, common, and feasible image processing steps.
4) DMBLC reached high performance and outperformed the powerful traditional SVM method.
5) DMBLC is a powerful and flexible changed framework for indirect ISA extraction.
|80. Chen, Z.; Chen, N.;* Du, W.; Gong, J. An Active Monitoring Method for Flood Events. Computers & Geosciences. (SCI).|
|1) An active service framework for flood monitoring is proposed.
2) A quantitative calculation methods for scheme, model, data and sensor is proposed.
3) Realize flood monitoring from manual intervention to system computation.
|79. Wang, C.;* Chen, Z.; Chen, N.; Wang, W. A Hydrological Sensor Web Ontology Based on the SSN Ontology: A Case Study for a Flood. ISPRS Int. J. Geo-Inf. 2018,7(1),2. (SCI).|
|78.Xu, L.; Chen, N.;* Zhang, X. A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China. Journal of Hydrology. (SCI).|
|1) A statistical method, two dynamic NMME models and a hybrid model were used to forecast drought.
2) The statistical and hybrid models showed better accuracy than NMME-EM and NMME-BMA models.
3) The predictability of 2011 and 2013 China droughts were investigated
|77. Yan, S.;* Zhang, N.; Chen, N.; Gong, J.; Feasibility of using signal strength indicator data to estimate soil moisture based on GNSS interference signal analysis. Remote Sensing Letters. 2018,9(1). (SCI).|
|76.Liu, D.; Chen, N.* Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016. Remote Sensing. 2017,9(11),1086. (SCI).|
|1) The urban land expansion in the Middle Yangtze River Basin (MYZR) urban agglomeration were mapped and compared at different spatial scales.
2) Small and medium cities experienced faster urban expansion than larger cities.
3) Outlying and edge-expansion are the dominant growth types across the MYRB urban agglomeration.
4) The difference between urban expansion in the MYRB urban agglomeration and the other three national level urban agglomerations were analyzed.
5) Some possible policy implications for better urban management and planning in the MYRB were provided.
|75. Zhang, X.; Wei, C.; Obringer R.; Li, D.; Chen, N.;* Niyogi, D.* Gauging the Severity of the 2012 Midwestern U.S. Drought for Agriculture. Remote Sensing. 2017,9(8),767. (SCI).|
|1) The drought severity was assessed from three aspects: spatial distribution, temporal evolution, and crop impacts.
2) The 2012 Midwestern US agricultural drought incubated around June 2011 and ended in May 2013.
3) SPI outperformed SPEI and has decent correlation with yield loss especially at a 6 months scale and in the middle growth season.
4) VegDRI and PADI demonstrated the highest correlation especially in late growth season.
|74.Xiao, C.; Chen, N.;* Gong J.; Wang, W.; Hu, C.; Chen, Z. 2017. Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures. ISPRS International Journal of Geo-Information 2017,6(8),251. (SCI).|
|1) An event-driven focusing service method that uses cyber-physical infrastructures for emergency response in smart cities was proposed.
2) The method consists of a focusing service model, an informational representation of the model and a focusing service process.
3) The focusing service method follows an event-driven mechanism and integrates the requirements of different societal entities with regard to response to emergencies and information resources, providing comprehensive and personalized support for decision-making.
4) An experiment using a real-world gas leakage scenario was presented which demonstreated the feasibility of the proposed method in assisting efficient emergency response.
|73. Li, D.; Shen, X.;* Chen, N.; Xiao, Z. 2017. Space-based information service in Internet Plus era SCIENCE CHINA Information Sciences 2017,60(10):102308. (SCI).|
|72.Xu, L.; Chen, N.;* Chen Z. 2017. Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?. Applied Energy 2017,203:874-882. (SCI).|
|1) China could achieve its 2020 and 2030 carbon intensity reduction targets under current policies.
2) The energy efficiency in the tertiary industry remained unimproved in the last decade.
3) CO2 emissions will be 1.64 times that of 2005 in 2020 and 1.69 times in 2030.
4) Carbon emissions fail to meet the 450 ppm scenario in 2020 and 2030.
|71. Chen, N.;* Xu, L.; Chen Z. 2017. Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and Tobit models. Energy 2017,134(C):659-671. (SCI).|
|1) City-level environmental efficiency were investigated.
2) GDP per capita was found acting negatively on environmental efficiency during 2003-2014.
3) The remote sensing PM2.5 data was incorporated into the undesirable outputs in the DEA method.
|70. Xing, C.; Chen, N.;* Zhang, X.; Gong, J. 2017. A Machine Learning Based Reconstruction Method for Satellite Remote Sensing of Soil Moisture Images with In Situ Observations. Remote Sens. 9(5):484-507. (SCI).|
|The major contribution by our work is as follows:
1) It is the first soil moisture image reconstruction method utilizing machine learning and artificial neural network.
2) It utilized machine learning in modelling the relationship between local soil moistures at different scales. With increasing accessibility to remote sensing images, our Neu-SICR algorithm is also essential for future applications.
3) Artificial neural networks are capable to project arbitrarily complicated relationship between local soil moistures of different scales. Our innovation is therefore best choice to fuse in-situ and remote sensing soil moisture observations.
4) Our experiment has proved the same applicability, higher accuracy, better precision and similar efficiency by Neu-SICR in comparison to SICR, a previous algorithm.
|69. Zhou, L.; Chen, N.;* Chen, Z. 2017. Efficient Streaming mass spatial-temporal vehicle Data Access in urban sensor networks based on Apache Storm. Sensors. (SCI).|
|1) Apache Storm has been applied into spatio-temporal data access.
2) Real-time streaming mass spatio-temporal vehicle data access for the higher data insertion capability.
3) Customized, flexible, and multi-level data filtering are achieved.
|68. Du, W.; Chen, N.*; Liu, D. 2017. An Automatic Balloon Snake Method for Topology Adaptive Water Boundary Extraction: Using GF-1 Satellite Imagery as an Example. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (SCI)|
|1) A novel AB-Snake method was proposed by adding an automatic initialization scheme based on the traditional balloon snake method;
2) Six GF-1 satellite images covering different inner island numbers, water body sizes, boundary complexities, boundary clarities, and background complexities, were used as experimental images;
3) The AB-Snake-extracted results were compared with other two methods, with the results demonstrating that the AB-Snake method could achieve rapid and accurate water boundary extraction.
|67. Wang, K.; Guan, Q.; Chen, N.*; Tong, D.; Hu, C.; Peng, Y.; Dong, X.; Yang, C. 2017. Optimizing the Configuration of Precipitation Stations in a Space-Ground Integrated Sensor Network based on Spatial-Temporal Coverage Maximization. Journal of Hydrology. (SCI)|
|1) We proposed a method for siting precipitation stations considering satellites.
2) We formulated a time-continuous maximal covering location model (T-MCLP).
3) Terrain and site suitability were considered in identifying candidate locations.
4) The proposed method can be extended to serve different monitoring purposes.
5) We presented optimal deployment strategies for a space-ground rainfall network.
|66. Zhang, X.; Obringer, R.; Wei, C.; Chen, N.*; Niyogi, D. 2017. Droughts in India from 1981 to 2013 and Implications to Wheat Production. Scientific Report. (SCI)|
|1) Droughts in India were investigated from monthly meteorological, hydrological, soil moisture, and vegetation droughts from 1981 to 2013 for the first time.
2) The most influential drought type, conjunction, spatial-temporal distributions, evolutionary process, and trends were analyzed in detail.
3) The varied relationships of droughts with wheat yield were also found.
|65. Chen, N.*; Liu, Y.; Li, J.; Chen, Z. 2017. A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities. ISPRS International Journal of Geo-Information. (SCI).|
|1) A new spatio-temporal enhanced metadata model for interdisciplinary instant point observations data sharing was proposed.
2) A sharing system was designed and implemented for the instant sharing of point observations data.
3) Case studies were conducted, including the gas concentrations monitoring and the smart city public vehicle monitoring based on BeiDou Navigation Satellite System (BDS).
|64. Du, C.; Liu, E.; Chen, N.; Wang W.*; Gui, Z.; He, X. 2017. Factorial kriging analysis and pollution evaluation of potentially toxic elements in soils in a phosphorus-rich area. Journal of Geochemical Exploration. 175:138-147. (SCI)|
|1) Enrichment factor and potential ecological risk of elements were evaluated.
2) Spatial variations of elements at different scales were studied.
3) Human influence on element variations was only observed at the short-range scale.
4) Parent materials had greater influence on element variations at both two scales.
|63. Du, W.; Chen, N.*; Liu, D. 2017. Topology Adaptive Water Boundary Extraction based on a Modified Balloon Snake: Using GF-1 Satellite Images as an Example. Remote Sensing. 9(2). (SCI).|
|1) A modified balloon snake method for topology adaptive water boundary extraction was proposed;
2) Satellite images covering different water types, inner island numbers, water areas, boundary complexities, background complexities, and digital number contrasts were tested;
3) The results were compared with those of other water extraction methods and were assessed qualitatively and quantitively;
4) The sensitivity of initial contours, model parameters, and spatial resolutions of the proposed method were evaluated.
|62. Chen, N.*; He, Y; Zhang, X. 2017. NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia. Remote Sensing. 9(1):51-72.(SCI).|
|1) A index was designed to indicate the soil moisture at sub-kilometer scales;
2) This index was further used to downscale the SMAP soil moisture from 36 km to 250 m resolution;
3) Assessment was conducted by comparing with another downscaling method (DISPATCH) at 250 m resolution;
4) The paper revealed that this downscaling method is expected to provide soil moisture mapping at 250 m resolution for large-scale hydrological and agricultural studies.
|61. Xiao, C.; Chen, N.*; Li, D.; Lv, Y.; Gong, J. 2017. SCRMS: An RFID and Sensor Web-Enabled Smart Cultural Relics Management System. Sensors. 17(1):60-80. (SCI)|
|1) An RFID and Sensor Web-enabled system was designed for integrated lifecycle management, real-time monitoring and effective preservation of cultural relics in an intelligent manner.
2) Three rules were develeped for the collaberavtion of RFID, ambient sensors and video survaillance for comprehensive preservation of cultral relics .
3) The proposed system was sucessfully applied to a museum in the Yongding District, Fujian Province, China, demonstrating its feasiblity and advantages for smart and efficient managemetn and preservation of cultural relics.
|60. Hu, C.*; Guan, Q.; Li, j.; Wang, K.; Chen, N. 2016. Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin. Sensors. 16(12):2144-2167. (SCI).|
|1) The proposed Geospatial Environmental Observation Capability (GEOC) can be used as an information basis for the reliable discovery and collaborative planning of multiple environmental sensors.
2) Quintuple GEOCF feature components and two GEOCF operations are formulated based on the geospatial field conceptual framework.
3) The applicability of the GEOCF is verified through the reliable discovery of flood monitoring sensors and planning for the collaboration of these sensors. Abstract PDF
|59. Chen, N.*; Xu, L. 2016. Relationship between air quality and economic development in the provincial capital cities of China. Environmental Science and Pollution Research. (SCI).|
|1) The relationship between the Gross Regional Product (GRP) per capita and the Integrated Air Pollution Index (IAPI) in all the provincial capital cities in China from 2003 to 2014 was analyzed.
2) Six typical urban development patterns were obtained by 1NN clustering.
3) Meteorological conditions and industrial structure are taken into consideration when testing the Environmental Kuznets Curve (EKC) hypothesis between the economy and air pollutant concentration. Abstract PDF
|58. Wang, W.; Hu, C.; Chen, N.*; Xiao, C.; Jia, S. 2106. Spatio-Temporal Risk Assessment Process Modeling for Urban Hazard Events in Sensor Web Environment. ISPRS International Journal of Geo-Information. 5(11):203-223. (SCI).|
|1) The Risk Assessment Process modelling method achieved an Risk Assessment Process chain.
2) The method achieves integrated management of multi-source heterogeneous sensor data.
3) We developed an extensible meta-model architecture based on MOF, which has an expansion mechanism of the assessment resources and other urban hazardous event applications.
|57. Yan, S.*; Zhao, F.; Chen, N.; Gong, J. 2016. Soil moisture estimation based on BeiDou B1 interface sianal analysis. Science China Earth Science. 59(12):2427-2440. (SCI).|
|1) A theoretical background for soil estimation from interference signals was introduced, and an analysis of field experimental data was conducted.
2) The phase of the interference signals increases with the increase of soil moisture.
3) Using BDS-R to measure soil moisture is feasible, which demonstrates a great potential of new application of the BD system. Abstract PDF
|56. Zhou, L.; Chen, N*.; Yuan, S.; Chen, Z. 2016. An Efficient Method of Sharing Mass Spatio-Temporal Trajectory Data based on Cloudera Impala for Traffic Distribution Mapping in an Urban City. Sensors. 16(11):1813-1828. (SCI).|
|1) We firstly applied Cloudra Impala into spatio-temporal data retrieving.
2) We extended the data volume to 200 million.
3) We proposed an effective data partition in HDFS.
|55. Zhang, X.; Chen, N*; Li, J.; Chen, Z.; Niyogi, D. 2016. Multi-sensor integrated Framework and Index for Agricultural Drought Monitoring. Remote Sensing of Environment. 188:141–163.(SCI).|
|1) A multi-sensor based agricultural drought framework and index are proposed.
2) GLDAS-2 soil moisture and NDVI datasets are combined with crop phenology.
3) Drought evolution and crop growth should be integrated for impact assessment.
4) The integrated index effectively captures multi-scale droughts.
5) Weekly accumulated drought impacts on crop is assessed for the first time.
|54. Zhou, L.; Chen, N*.; Chen, Z.; Xin, C. 2016. ROSCC: An Efficient Remote-sensing Observation Sharing Method Based on Cloud Computing for Soil Moisture Mapping in Precision Agriculture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. PP(99). (SCI).|
|1) Cloud-computing-enabled EOD sharing method to enhance the storage of RS images and achieve remote sensing application is achieved.
2) The remote sensing observation with different data size reaching about TB scale of are tested in the experiment.
3) The image pyramid is constructed in the storage process.
4) The performance of ROSCC is enhanced.
|53. Zhou, L.; Chen, N*..; Chen, Z. 2016. A Cloud Computing-enabled Spatio-Temporal Cyber-Physical Information Infrastructure to Achieve Efficient Monitoring in Precision Agriculture. ISPRS International Journal of Geo-Information. 5(6). (SCI).|
|1) Cloud computing is firstly applied into soil moisture monitoring algorithm design in precision agriculture field.
2) Cloud computing-enabled spatio-temporal cyber-physical infrastructure framework is achieved.
3) The remote sensing observation and in situ observation are tested.
4) Baoxie scientific experimental field in Wuhan city is applied.
5) The monitoring performance is promoted.
|52. Xiao, C.; Chen, N*.; Wang, X.; Chen, Z. 2016. A semantic registry method using sensor metadata ontology to manage information of heterogeneous sensors in Geospatial Sensor Web. ISPRS International Journal of Geo-Information. 5(5). (SCI).|
|1) A semantic registry method for heterogeneous sensors was proposed.
2) The ontologies were built to fully support semantic registry of sensor metadata.
3) The semantic mapping included all information of sensors metadata encoded in registry information model.
4) The GEOSENSOR Semantic Sensor Registry Service was designed and implemented.
5) The experiments demonstrated effective discovery for heterogeneous sensors.
|51. Zhang, X.; Chen, N*. 2016. Reconstruction of GF-1 Soil Moisture Observation based on Satellite and in situ Sensor Collaboration under Full Cloud Contamination. IEEE Transactions on Geoscience and Remote Sensing (TGRS). 54(9). (SCI).|
|1) A Satellite and In situ sensor Collaborated Reconstruction (SICR) method was proposed.
2) SICR aims at the recovery of soil moisture mapping under full cloud contamination.
3) SICR performed better than the reconstruction results only based on in situ or satellite sensor data.
|50. Li, H.; Fan, H*; Li, J.; Chen, N. 2016. Pull-Based Modeling and Algorithms for Real-Time Provision of High-Frequency Sensor Data from Sensor Observation Services. ISPRS International Journal of Geo-Information. 5(4). (SCI).|
|1) We created a real-time data provision model to address the dynamic problem for sensor webs.
2) The recursive algorithm KF and a self-adaptive linear algorithm H-AIMD were proposed for the model.
3) Experiments show that the two proposed dynamic algorithms are very easily realized and have higher efficiency than the static method. Abstract PDF
|49. Pu, F.; Wang, Z.; Du, C.; Zhang, W.; Chen, N. 2016. Semantic integration of wireless sensor networks into open geospatial consortium sensor observation service to access and share environmental monitoring systems. The Institution of Engineering and Technology. 10(2):45-53. (SCI).|
|1) We specify the heterogeneous WSNs with a unified ontology. The conceptualization is encoded according to IEEE 1451 standards.
2) We build an ontology to describe the data items required by the SOS.
3) We establish an alignment rule for matching the information of sensors and their observation to the operations of SOS. Abstract PDF
|48. Du, W.; Chen, N*.; Yan, S., 2016. Online soil moisture retrieval and sharing using geospatial web-enabled BDS-R service. Computers and Electronics in Agriculture. 121(2):354-367.(SCI)|
|1) An online soil moisture retrieval and sharing service method is proposed, during which sensor observation service and web processing service of OGC are mainly utilized;
2) Adopting Beidou signals as data source and the refection coefficient method as the retrieval algorithm, an implementation instance of the service method is provided;
3) The service can be extended to any GNSS-R signal or any soil moisture retrieval algorithm;
4) The service method could make continuous spatial-temporal observations of soil moisture possible. Abstract PDF
|47. Wang, W.; Li, P.; Chen, N.; Chen, Z.; Wang, C. 2016. A Geospatial Decision Meta-Model for Heterogeneous Model Management: A Regional Transportation Planning Case Study. Arabian Journal For Science And Engineering. 41(3):1077-1090. (SCI)|
|1) This study proposes a geospatial decision meta-model to describe geospatial decision models in a unified way and discusses the development of five basic metadata components.
2) The study also entails the design of the eleven-tuple model information description structure and an extension of the discrepant information of diverse decision models.
3) A prototype system, the GeoDecisionModelManager, is designed and implemented to provide a common tool for modelling, registering, discovering and executing decision models described by the meta-model. Abstract PDF
|46. Wang, K.; Chen, N*.; Tong, D.; Wang, K.; Wang, W.; Gong, J. 2016. Optimizing precipitation station location: a case study of the Jinsha River Basin. International Journal of Geographical Information Science. 30(6):1207-1227. (SCI)|
|1) We propose an optimal siting method for precipitation stations.
2) We formulate a modified maximal covering location model considering terrain conditions.
3) We design a GA-based heuristic to solve large-scale problems.
4) The proposed method is applied in the lower reaches of the Jinsha River Basin.
5) We present several optimal deployment strategies for a rainfall-gauging network.
|45. Wang, X.; Chen, N*..; Chen, Z.; Yang, X.; Li, J. 2016. Earth Observation Metadata Ontology Model for Spatiotemporal-Spectral Semantic-Enhanced Satellite Observation Discovery: A Case Study of Soil Moisture Monitoring. GIScience Remote Sensing. 53(1)：22-44. (SCI).|
|1) Earth Observation Metadata ontology model for satellite observation discovery was proposed.
2) The ontology Model was enhanced by spatiotemporal-spectral semantics for improving the accuracy of discovery.
3) The EOmetadataSemQuery prototype application was designed and implemented.
4) The observation metadata discovery experiment for soil moisture monitoring demonstrated effectiveness of the proposed method.
|44. Wang, W.; Hu, C.; Chen, N*.; et al. 2015. Spatiotemporal enabled urban decision-making process modeling and visualization under the cyber-physical environment. Science China Information Sciences. 58(10)：1–17. (SCI).|
|1) In this paper, the proposed decision-making process chain could be shareable, expandable and easy to manage according to standard metadata information and descriptions.
2) Users can efficiently execute decision-making processes in a geoprocessing workflow according to the decision-making process chain based on SensorML and dynamically support for decision-making.
3) The proposed decision-making process description model, which includes common properties, special properties and spatial-temporal properties from a variety of urban emergencies, owns good expansibility. Abstract PDF
|43. Chen, N*; Zhou, L; Chen, Z. 2015.A Sharable and Efficient Metadata Model for Heterogeneous Earth Observation Data Retrieval in Multi-Scale Flood Mapping. Remote Sensing. 7(8)： 9610-9631. (SCI).|
|1) Semantic enhancement is firstly applied into Earth observation data discovery.
2) Enhanced Earth observation Metadata profile of Observations & Measurements is promoted.
3) All-stage multi-scale flood mapping is accomplished via the methodology.
|42. Chen, Z.;Chen, N*. 2015.Provenance Information Representation and Tracking for Remote Sensing Observations in the Sensor Web Environment. Remote Sensing. 7(6):7646-7670. (SCI).|
|1) We propose a provenance method that represents and tracks remote sensing observations in the Sensor Web enabled environment.
2) We model the provanance model and the relationships between sensor, remote sensing data, algorithm and service.
3) We conducted an experiment on the representation and tracking of provenance information for vegetation condition products, such as the Normalized Difference Vegetation Index (NDVI) and the Vegetation Condition Index (VCI).
4) The vegetation condition products were at May of each year from 2000 to 2012 in the area under investigation covered the 48 contiguous states of the United States. Abstract PDF
|41. Chen, N*.; Du W., Song F., Chen Z.,2015, FLCNDEMF: An Event Metamodel for Flood Process Information Management under the Sensor Web Environment. Remote Sensing. 7(6):7231-7256. (SCI).|
|1) We propose the full life cycle event metamodel for all types of natural disaster events.
2) We analyze both the static representation and dynamic observation demands from all phases of floods, and formulate the full life cycle event metamodel for floods.
3) We design and implement the prototype for event modelling, query, and management.
4) The proposed method is applied in the LZ Lake flood on July, 16, 2010.
5) The full life cycle event metamodel is of great significance to the remote sensing data discovery and the unified management of disasters, and can improve the overall efficiency of event responding. Abstract PDF
|40. Wang, K.; Chen, N*.; Tong, D.; Wang, K.; Gong, J. 2015. Optimizing the Configuration of Streamflow Stations based on Coverage Maximization: A Case Study of the Jinsha River Basin. Journal of Hydrology. 527(8): 172-183.(SCI).|
|1)We propose an optimal siting method for streamflow stations.
2)We formulate a modified maximal covering location model.
3)We design a hydrometric intersection point set to identify finite candidate sites.
4)The proposed method is applied in the Jinsha River Basin.
5)We present several optimal deployment strategies for a stream-gauging network.
|39. Fan, H.; Li, J.; Chen, N*.; Hu, C. 2015. Capability representation model for heterogeneous remote sensing sensors: Case study on soil moisture monitoring. Environmental Modelling & Software. 70(8):65-79. (SCI).|
|1)We propose a heterogeneous remote sensing sensor capability meta-model.
2)We define a five-tuple sensor capability representation structure.
3)We design an extension mode to support five typical types of RS sensors.
4)A prototype system is designed and implemented.
5)The model is applied in the multi-sensor monitoring of soil moisture.
|38. Chen, N*.; Xing C.; Zhang X.; Zhang L.; Gong J.,2015. Space-borne Earth-observing Optical Sensor Static Capability Index for Clustering. IEEE Transactions on Geoscience and Remote Sensing. 53(10),5504-5518.(SCI)|
|1)A space-borne Earth-observing optical sensor static capability index (SSCI) mechanism is drawn from an evaluation-and-clustering algorithm.
2)The scheme of SSCI relies on no expert analysis system and thus is more flexible and efficient.
3)Earth-observing scenarios of disaster reactions are among the application of this algorithm.
4)The SSCI assessing algorithm is feasible and stable, and the EO optical sensor clustering algorithm based on SSCI can offer reasonable clustering accuracies of EO optical sensors.
|37. Chen, N*.; Xiao，C., Pu,F.; Wang, Z.; Wang, C.; Gong, J.,2015. Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-situ Sensors. Sensors. 15(2), 2565-2592.(SCI).|
|1)We propose a cyber-physical geographical information service-enabled method for open interoperable control of diverse in-situ sensors.
2)The method is based on location-based instant sensing which provides closed-loop feedbacks.
3)The method was tested with experiments carried out in two geographically distributed scientific experimental fields.
4)We propose a S-ATS-W algorithm and an ATST algorithm to respond quickly to commands to change the frequency of sensor data transmissions.
5)A prototype system Geospatial Sensor Web Common Service Platform is designed and implemented. Abstract PDF
|36. Pu, F.; Ma，J., Zeng, D., Xu, X., Chen, N.,2015. Early warning of abrupt displacement change at the Yemaomian Landslide of the Three Gorge region, China.Natural Hazards Review. 16(4).(SCI)|
|1) A time series of displacement is modeled using an autoregressive (AR) model and a detrended fluctuation analysis (DFA) method.
2) The DFA scaling exponent can indicate the abrupt change in displacement.
3) The variance of AR(1) may also indicate the displacement fluctuation.
4) These early-warning signals are extracted directly from the observations, and do not need training. Abstract PDF
|35. Chen, N*.; Li，J., Zhang, X.,2015. Quantitative evaluation of observation capability of GF-1 Wide Field of View sensors for soil moisture inversion.Journal of Applied Remote Sensing.9(1).(SCI)|
|1)We propose a method to quantitatively evaluate the observation capability of GF-1 Wide Field-of-View sensors for soil moisture inversion.
2)The data from GF-1 WFV sensor, Landsat8 OLI and MODIS are used to invert soil moisture in Wuhan from September 2013 to September 2014 based on PDI and MPDI.
3)The inversion results and validation results of GF-1 WFV sensors based on the PDI/MPDI are compared with the corresponding results of Landsat8 OLI and MODIS.
4)The performance of the PDI and MPDI based on GF-1 WFV sensor data are comprehensively evaluated. Abstract PDF
|34. Chen, N.; Zhang,X., Wang, C.,2015. Integrated Open Geospatial Web Service enabled Cyber-physical Information Infrastructure for Precision Agriculture Monitoring. Computers and Electronics in Agriculture.111(2)：78–91.(SCI).|
|1)We proposed an integrated geospatial service enabled cyber-physical infrastructure.
2)Sensor web enablement and web processing service are mainly utilized.
3)Two interaction patterns are designed to cooperate SOA based geospatial services.
4)Providing interoperable access for heterogeneous sensors, data, and algorithms.
5)The infrastructure is capable in sensor-based precision agriculture monitoring.
|33. Zhang, X.; Chen, N*.; Chen, Z.,2014. Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities. Remote Sens. 6(12): 12309-12333.(SCI).|
|1)A multi-sensor collaboration monitoring method (STMC) was proposed.
2)STMC analyzes regional soil moisture distributions and variations from AMSR-E sensor.
3)STMC detects daily soil moisture anomaly using AMSJ algorithm from AMSR-2 sensor.
4)STMC chooses high spatial resolution sensor to get a precisely monitoring result.
5)Quick soil moisture detection and precise response were achieved in Hubei province.
|32. Hu C., Guan Q., Chen N*., 2014.An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments. MDPI Remote Sensing. 6(11): 10546-10570. (SCI).|
|1)we propose an EO sensor observation capability metadata model.
2)The proposed model is composed of five sub-modules, namely, ObservationBreadth, ObservationDepth, ObservationFrequency,ObservationQuality and ObservationData.
3)the proposed model enables an efficient encoding system that ensures minimum unification to represent the observation capabilities of EO sensors.
4)The model functions as a foundation for the efficient discovery of EO sensors.
5)The model is a helpful step in extending the Sensor Model Language (SensorML) 2.0 Profile for the description of the observation capabilities of EO sensors.
|31. Chen N*., Wang K., Xiao C., 2014.A Heterogeneous Sensor Web Node Meta-Model for the Management of Flood Monitoring System. Environmental Modelling & Software.54(2014):222-237. (SCI).|
|1)We propose a heterogeneous sensor web node meta-model.
2)We define a nine-tuple node information description structure.
3)We design a node metadata extension mechanism to support discrepant information.
4)A prototype system GeosensorNodeManager is designed and implemented.
5)The node meta-model is applied in the management of flood monitoring system.
|30. Zhao N., Pu F., Xu X.,Chen N., 2014.Cognitive Wideband Spectrum Sensing Using Cosine-Modulated Filter Banks. International Journal of Electronics.102(11):1890-1901(SCI).|
|1) A multichannel joint spectrum sensing strategy based on cosine-modulated filter banks (CMFBs) was developed to improve sensing efficiency.
2) The received wideband signal was split into several bands through the filters that are constructed by grouping continuous sub-band filters.
3) Through flexibly designing prototype filter, not only the spectrum of non-uniform bandwidth can be estimated, but also the spectral leakage between adjacent channels can be adjusted.
4) The decision thresholds of different channels were obtained as regards the probability of false alarm. Abstract PDF
|29. Zhan W., Wang W., Chen N., Wang C., 2014. Efficient UAV path planning with multi-constraints in a 3D large battlefield environment. Mathematics problems in engineering. 2014. (SCI).|
|Abstract: This study introduces an improved algorithm for the real-time path planning of Unmanned Air Vehicles (UAVs) in a 3D large-scale battlefield environment to solve the problem that UAVs require high survival rates and low fuel consumption. The algorithm is able to find the optimal path between two waypoints in the target space and comprehensively takes factors such as altitude, detection probability, and path length into account. It considers the maneuverability constraints of the UAV, including ... Abstract PDF|
|28. Hu, C., Li，J., Chen, N*., 2014. An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation. MDPI Remote Sensing. 2014(6):677-699. (SCI).|
|1)we propose a remote sensing satellite sensor object model.
2)The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method.
3)We implement the proposed attribute state description by applying it to different remote sensors.
4)the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.
|27. Chen, N*., Zhang，X., 2014. A Dynamic Observation Capability Index for Quantitatively Pre-Evaluating Diverse Optical Imaging Satellite Sensors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.7(2):515-530. (SCI)|
|1)A novel satellite sensor observation capability index (DOCI) was proposed.
2)DOCI model consists five main factors affecting optical satellite sensor skillfully.
3)Resolution, coverage, spectral band, environment, and quality were calculated.
4)Quantitative, comprehensive, and all-purpose prior sensor assessments were achieved.
|26. Chen, N*., Chen, X., Wang, K; Niu, X., 2014. Progress and challenges in the Architecture and Service Pattern of Earth Observation Sensor Web for Digital Earth. International Journal of Digital Earth. 4(6):449-470.(SCI)|
|1)The EO Web including Data Web and Sensor Web has become one of the most important aspects of the Digital Earth 2020.
2)The history of the development and status quo of the major types of EO data web service systems, including architecture, service pattern and standards is summarized.
3)The concepts, development and implementation of the EO Sensor Web were reviewed.
4)We analysed the requirements on the architecture of the next-generation EO Sensor Web system.
5)We highlighted the virtualization, intelligent, pervasive and active development tendency of Spaceborne-Airborne-Ground integrated Intelligent EO Sensor Web system.
|25. Hu, C., Chen, N*., Li, J., 2013. Geospatial Web-based Sensor Information Model for Integrating Satellite Observations: An Example in the Field of Flood Disaster Management. Photogrammetric Engineering & Remote Sensing. 79(10):915-927.(SCI)|
|1)We propose a sharable and interoperable Earth Observation Satellite Sensor Information (SSI) model for satellite observations integration.
2)The SSI model reuses and extends the existing metadata standards to be a standard metadata-filled description framework.
3)The SSI model facilitates the integration of flood observation-supporting satellite sensors observation in the all stages of flood disaster management.
|24. Zhao, N., PU, F., XU, X., Chen, N., 2013. Optimisation of Multi-channel Cooperative Sensing in Cognitive Radio Networks. IET Communications. 7(12):1177-1190.(SCI)|
|1) The relationship between cooperation mechanisms and spatial-spectral diversity over multiple channels jointly sensing is investigated in the presence of an imperfect reporting channel.
2) The multi-channel cooperative spectrum sensing (CSS) strategies are modelled by the introduced ‘cooperative ratio’ to balance the requirements on sensing accuracy, efficiency and overhead.
3) The target of CSS is to maximise the aggregate opportunistic throughput of secondary users (SUs) by jointly considering constraints on sensing overhead and the aggregate interference to primary users (PUs).
4) The optimisation is divided into two sequential suboptimisation processes, ‘multi-user diversity optimisation’ and ‘multi-channel diversity optimisation’.
5) An approach is developed from generic algorithms to solve the two sub-problems.
|23. Chen, N*., Wang, X., Yang, X., 2013. A Direct Registry Service Method for Sensors and Algorithms based on the Process Model. Computers & Geosciences. 56:45-55.(SCI)|
|1)A direct registry service method for sensors and algorithms based on Process Model was proposed.
2)The ebXML Registry information Model was extended to fully support process model.
3)The mapping included all types of processes and the relationships.
4)The GEOSENSOR CSW was designed and implemented.
5)The flood experiments demonstrated effective and direct registry for sensors and algorithms.
|22. Li, D., Zeng, L., Chen, N., Shan, J., Liu, L., Fan, Y., Li, W., 2013. A Framework Design for the Chinese National Disaster Reduction System of Systems (CNDRSS). International Journal of Digital Earth.7(1): 68-87.(SCI)|
|1)An integrated framework for a Chinese National Disaster Reduction System of Systems (CNDRSS) is proposed based on observation or business system of systems.
2)We use federated databases and a web service to integrate multiple disaster management systems among different ministries/institutions.
3)We use sensor web service to integrate airborne, space-borne and in-situ observations.
4)These event-driven focused-services connecting the various observations, processing and mapping can meet the requirements for CNDRSS.
|21. Fang, M., Fang, H., Chen, N., Chen, Z., Du, W., 2013. Active On-demand Service Method Based on Event-driven Architecture for Geospatial Data Retrieval. Computers & Geosciences. 56:1-11. (SCI)|
|1)The design of the conceptual framework of the proposed method.
2)The modeling of observation events and their encoding.
3)The encoding of filtering conditions that are applied to observation events.
4)The design and implementation of the event-driven process of data service.
5)The design and implementation of a data service based on EDA.
|20. Zheng, Z., Chen, N*., Li, P., Wang, W., 2013. Integration of Hydrological observation into a Spatial Data Infrastructures under a Sensor Web environment. International Journal of Digital Earth. 6(sup2): 22-40.(SCI)|
|1)A SOS chaining WFS method is proposed to integrate observation collected by a hydrological Sensor Web into a virtual globe.
2)This method hides the complexity to enable the integration of heterogeneous distributed hydrological data sources into a SDI.
3)Feasibility experiments conducted on the Jinsha River tested this proposed method.
4)Results show that the approach allows the integration of SOS servers into legacy applications that have a higher degree of availability within many SDIs.
|19. Chen, Z., Chen, N*., Yang, C., Di, L., 2012. Cloud computing enabled Web Processing Service for Earth Observation data processing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Interoperability Architectures and Arrangements for Multi-Disciplinary Earth Observation Systems and Applications Special issue). 5(6):1637-1649.(SCI)|
|1)We integrate Apache Hadoop into Web Processing Service.
2)We propose a Web Processing Service to calculate NDVI with MODIS data in a Cloud Computing environment.
3)We propose a rewrite method for flexible Web Processing Service. Abstract PDF
|18. Chen, N*., and Hu, C., 2012. A sharable and interoperable meta-model for atmospheric satellite sensors and observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(5):1519-1530. (SCI)|
|1)We propose an atmospheric satellite sensor observation system meta-model.
2)The meta-model reuses and extends the existing geospatial or sensor-related metadata standards to enable the sharing and interoperability of atmospheric satellite sensors.
3)The proposed meta-model can be reused in all kinds of atmospheric satellite sensors.
4) It enables the sharing of atmospheric satellite sensor information and potentially promoting the interoperability of these satellite sensors.
|17. Chen, N*., He, J., Yang, C., Wang, C., 2012. A node semantic similarity schema-matching method for multi-version Web Coverage Service retrieval. International Journal of Geographical Information Science.26(6):1051-1072. (SCI、SSCI)|
|1)We propose a schema-matching method that measures node semantic similarity (NSS) based on WordNet, conjunctive normal form and a vector space model.
2)A hybrid algorithm based on label meanings and annotations is designed to calculate the similarity between label concepts.
3)We translate the semantic relationships between nodes into a propositional formula and verify the validity of this formula to confirm the semantic relationships.
4)We use the NSS method in experiments on different versions of WCS.
5)The average recall is greater than 83%; precision reaches 92%; and overall is 67%.
|16. Zhao, N., Pu, F., Xu, X., Chen, N., 2012. Cosine-Modulated Transceivers for TV White Space Cognitive Access. Chinese Journal of Electronics. 21(2):362-366. (SCI)|
|1)We propose a Nearly Perfect Reconstruction CMFB system for CR.
2)A new objective function is provided to control the tradeoff between the level of interference caused by secondary transmission to primary users and the spectral efficiency of secondary users.
3)An adaptive linear search optimization technique is employed for the prototype filter design. PDF
|15. Li, X., Ye, W., Chen, X., Chen, N., Xu, J., Chen, F., 2012. Impact of training database on super resolution-based spectral unmixing. Remote Sensing Letters. 3(8):647-655. (SCI)|
|1) According to the example-based SR reconstruction, training databases impact the reconstruction and consequently may also impact SRSU.
2) A Markov network model was employed as a way to implement SR reconstruction.
3) The SRSU performance is not sensitive to the types of training databases, since different training databases resulted in similar accuracy in spectral unmixing.
|14. Chen, N*., Hu, C., Chen, Y., Wang, C., Gong, J., 2012. Using SensorML to construct a geoprocessing e-Science workflow model under a sensor web environment. Computers & Geosciences. 47:119-129. (SCI)|
|1)We propose a construction method for a geoprocessing e-Science workflow model.
2) It integrates logical and physical processes into a composite process chain for sensor observations.
3)An experiment on chaining-related sub-processes for deriving the Normalized Difference Vegetation Index of Hubei Province (China) was conducted.
4)The experiment verifies the feasibility of the proposed workflow model.
|13. Yang, C., Chen, N., Di, L., 2012. Restful based heterogeneous geoprocessing workflow interoperation for sensor web service. Computers & Geosciences. 47:102-110. (SCI)|
|1)A workflow is one approach for designing, implementing and constructing a flexible and live link between these sensors’ resources and users.
2)A RESTFul based workflow interoperation method is proposed to integrate heterogeneous workflows into an interoperable unit.
3)A scenario for nitrogen dioxide (NO2) from a volcanic eruption is used to investigate the feasibility of the proposed method.
4)The RESTFul based workflows interoperation system can describe, publish, discover, access and coordinate heterogeneous Geoprocessing workflows. Abstract PDF
|12. Kridskron, A., Chen, N*., Peng, C., Yang, C., Gong, J., 2012. Flood detection and mapping of the Thailand Central plain using RADARSAT and MODIS under a sensor web environment. International Journal of Applied Earth Observation and GeoInformation. 13(1):245-255. (SCI)|
|1)We propose flood detection and mapping coupling MODIS and RADARSAT under sensor web.
2)The above method is used to generate dynamically near-real-time flood maps.
3)We demonstrate the proposed method in the Thailand Central plain.
4)The proposed method achieves instant and automatic flood detection and mapping.
|11. Chen, Z., Di, L., Yu, G., and Chen, N., 2011. Real-time on-demand motion video change detection in the sensor web environment. The Computer Journal. 54(12):2000-2016.(SCI)|
|1)We implement a motion video change detection service with Web Processing Service.
2)We integrate Sensor Observation Service and Web Processing Service for motion video change detection.
3)We design a flexible, standards-based and service-oriented Web Processing Service architecture.
|10. Zhou, C., Ai, S., Chen, N., Wang, Z., and E, D., 2011. Grove Mountains Meteorite Recovery and Relevant Data Distribution Service. Computers & Geosciences. 37(11):1727-1734. (SCI)|
|1)11,452 meteorites have been collected from the Grove Mountains by CHINARE.
2)The blue ice area and moraines are identified as meteorite concentration sites in this area.
3)Desktop software based on ArcObjects and web software based on ArcIMS are developed.
4)The visualization and network sharing of the valuable meteorite data are realized.
|9. Chen, N*., Chen, Z., Hu, C., and Di, L., 2011. A capability matching and ontology reasoning method for high precision Open GIS Service discovery. International Journal of Digital Earth. 4(6):449-470. (SCI)|
|1)A new method for retrieving OWS using page crawling, link detection, service capability matching and ontology reasoning is proposed.
2)Its major components are distributed OWS, the OWS search engine, the OWS ontology generator, the ontology-based OWS catalog service, and the ontology-based multi-protocol OWS client.
3)Experimental results show that the execution time equals only 0.26 of and higher precision than Nutch.
4)It is being used successfully for the Antarctica multi-protocol OWS portal of the Geo-Information Web Service Portal of the Polar.
|8. Chen, N*., Di, L., Chen, Z., and Gong, J., 2011. An efficient method for near-real-time on-demand retrieval of remote sensing observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (High Performance Computing Special Issue).4(3):615-625. (SCI)|
|1)A Real-time Coverage Service (RCS) for serving observational data based on the integration of WCS and SOS is proposed.
2)The RCS method hides the complexity of a series of information models and service interfaces in the Earth Observation (EO) and Sensor Web world.
3)The core components-dynamical schema transformer and automatic information extractor-are designed and implemented based on service middleware technology.
4)Experiments on EO-1 Hyperion data retrieval for the RCS method and SOS method were conducted and compared.
5)The results show that the RCS has architecture that is more robust and performs more efficiently than the SOS.
|7. Chen, Z., Chen, N*., Di, L., and Gong, J., 2011. A flexible Data and Sensor Planning Service for virtual sensors based on Web Service. IEEE Sensors Journal. 11（6）:1429-1439. (SCI)|
|1)We propose a service-oriented framework of data and sensor planning service for virtual sensors.
2)We plan virtual sensors (as real sensor, data center, and Web service) with Sensor Planning Service.
3)We use a Web Notification Service (WNS) based asynchronous notification middleware for midterm or long-term task of virtual sensor planning.
|6. Chen, N*., He, J., Wang, W., and Chen, Z., 2011. Extended FRAG-BASE Schema-Matching for Multi-version Open GIS Services Retrieval. International Journal of Geographical Information Science. 25(7):1045-1068. (SCI、SSCI)|
|1)The OWS schema file decomposition, fragment presentation, fragment identification, fragment element match, and combination of match results are developed based on the extended FRAG-BASE (fragment-based) schema-matching method.
2)Different WFS and WCS experiments show that the recall is above 80%, the precision reaches 90%, the overall achieves 85%, and the efficiency increases by 50% as compared with that of the COMA and CONTEXT matcher.
3)The multi-version WFS retrieval under the AntSDI demonstrates the feasibility and superiority of the extended FRAG-BASE method.
|5. Chen, N*., Di, L., Gong, J. and Yu, G., 2010. Automatic On-demand Data Feed Service for AutoChem based on Reusable Geo-Processing Workflow. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(Sensor Web Special Issue). 3（4）:418-426. (SCI)|
|1)An observational data serving method based on a reusable GPW is proposed for the automatic AutoChem data feed.
2)The AutoChem data discovery, processing and integration GPW is implemented by chaining NASA ECHO, GMU CSW, GMU WCS, and a series of preprocessing services wrapped with WPS.
3)The reused data feed flows have been tested using data from the NASA Aura Ozone Monitoring Instrument.
4)Its architecture is more flexible, and it performs more automatically than the traditional method.
|4. Chen, N*., Li, D., Di, L. and Gong, J., 2010. An automatic SWILC classification and extraction for the AntSDI under a Sensor Web environment. Canadian Journal of Remote Sensing (IPY Special Issue). 36(Supplement 1): 1-12. (SCI)|
|1)An automatic sensor processing workflow (SPW) approach to generate live SWILC maps dynamically is proposed.
2)The SPW includes sensor discovery and retrieval service; snow, water, ice, land and cloud (SWILC) Web processing service; and an SPW engine.
3)A scenario of an EO-1 Sensor Web data service for SWILC classification and feature extraction in Antarctica is tested.
4)The integration of SPW with Google Earth and updating of the spatial information for AntSDI using WFS-T are evaluated.
5)The results show that the proposed approach is feasible for the update of spatial data in Antarctica. PDF
|3. Chen, N*., Di, L., Yu, G. and Gong, J., 2010. Geo-Processing Workflow Driven Wildfire Hot Pixel Detection under Sensor Web Environment. Computers & Geosciences. 36(3):362-372. (SCI)|
|1)A common GPW framework for Sensor Web data service as part of the NASA Sensor Web project is proposed.
2)This abstract framework includes abstract GPW model construction, GPW chains from service combination, and data retrieval components.
3)The concrete framework consists of a data service node, a data processing node, a data presentation node, a Catalogue Service node, and a BPEL engine.
4)This framework is used to generate several kinds of data: raw data from live sensors, coverage or feature data, geospatial products, or sensor maps.
5)The execution time and influences of the EO-1 live Hyperion data wildfire classification service framework are evaluated.
|2. Chen, N., Di, L., Yu, G. and Gong, J., 2009. Use of ebRIM-based CSW with SOSs for registry and discovery of remote-sensing observations. Computers & Geosciences. 35 (2):360-372.(SCI)|
|1)An architecture for use of the integration SOS with CSW is put forward.
2)The architecture consists of a distributed SOS, a CSW, SOS search and registry middleware, and a portal.
3)The SOS search and registry middleware finds the potential SOS, generating data granule information and inserting the records into CSW.
4)A realistic Earth Observing-1 (EO-1) SOS scenario is tested and evaluated.
|1. Chen, N., Di, L., and Yu, G., 2009. A flexible geospatial sensor observation service for diverse sensor data based on Web service. ISPRS Journal of Photogrammetry and Remote Sensing. 64(1):274-282. (SCI)|
|1)A service-oriented multi-purpose SOS is proposed.
2)A single method of access to the data by integrating the SOS with CSW, WFS-T and WCS-T is created.
3)The extensible sensor data adapter finds, stores and manages sensor data from live sensors, sensor models, and simulation systems.
4)Abstract factory design patterns are used during design and implementation the flexible SOS.
5)The framework has been successfully demonstrated in application scenarios for EO-1 observations, weather observations and water height gauge observations.