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Tian, W., Cao, K.*, Feng, Q. (2025). The Impact of Environmental Exposure on the Health of Older Adults: A Review From the GIScience Perspective. Transactions in GlS, Volume29, Issue3. https://doi.org/10.1111/tgis.70056

Kong, W., Zhou, X., Li, X., Cao, K.* (2025). Spatial Optimization of Urban Free-Floating Bike Sharing Using the Regionalization-Routing-NSGA-II Model. Transactions in GIS, 29(2). https://doi.org/10.1111/tgis.70030

Chen, A., Cao, K.*, Liu, Y., Li, S. L., Chen, H., & Chiu, M. Y. L. (2025). Nexus Between Exposure to Natural Outdoor Environments and Cognitive Competence among Older Adults in China. Annals of the American Association of Geographers, 1-19. https://www.tandfonline.com/doi/abs/10.1080/24694452.2024.2380889

Ding, Y., Zhang, X., Cao, K.*,Wu, M., Yang, Y., Jing, F., ... & Huang, X. (2025). A dimension-independent method for updating topological models of 4D spatio-temporal data based on generalized maps. Earth Science Informatics, 18(2), 241. https://link.springer.com/article/10.1007/s12145-025-01696-1

Hu, X., Cao, K.*, Huang, B., Li, X., & Wu, R. (2025). Walkability of greenways from the perspective of the elderly: A case study of Huangpu River waterfront greenway. International Journal of Applied Earth Observation and Geoinformation, 136, 104322. https://www.sciencedirect.com/science/article/pii/S1569843224006800#s0105

Tian, W., Cao, K.*, Kwan, M. P., Chiu, M. Y. L., & Chen, H.* (2024). How does urbanization affect the cognitive function among older adults: A geospatial analysis in China. Health & Place, 88, 103259. https://doi.org/10.1016/j.healthplace.2024.103259

Cao, K.*, Zhou, C., Church, R., Li, X., & Li, W. (2024). Revisiting spatial optimization in the era of geospatial big data and GeoAI. International Journal of Applied Earth Observation and Geoinformation, 129, 103832. https://doi.org/10.1016/j.jag.2024.103832

Wang, Z., & Cao, K.*(2024). An Intelligent Site Selection Approach for Public Service Facilities Coupled with Improved Graph Attention Network and Deep Reinforcement Learning. Journal of Geo-information Science, 1-13.DOI: 10.12082/dqxxkx.2024.240044

Wang, Z., Cao, K.*, Chiu, Y. L. M., & Feng, Q. (2024). Spatial multi‐objective optimization of primary healthcare facilities: A case study in Singapore. Transactions in GIS, 28(3), 564-581. https://doi.org/10.1111/tgis.13147

Wei, Z., Cao, K.*, Kwan, M. P., Jiang, Y., & Feng, Q. (2024). Measuring the age-friendliness of streets' walking environment using multi-source big data: A case study in Shanghai, China. Cities, 148, 104829. https://doi.org/10.1016/j.cities.2024.104829

Cao, K.*, Qi, Y. T.*, Neo, H. Y. R., & Guo, H. (2024). Web GIS as a pedagogical tool in tourist geography course: the effect on spatial thinking ability and self-efficacy. Journal of Geography in Higher Education, 48(2), 193-210. https://doi.org/10.1080/03098265.2023.2198200

Chen, H., Ye, K. X., Feng, Q., Cao, K., Yu, J., Li, C., ... , Zeng, Y.* & Feng, L.* (2024). Trends in the prevalence of cognitive impairment at old age in China, 2002–2018. Alzheimer's & Dementia, 20(2), 1387-1396.https://doi.org/10.1002/alz.13545

Zhou, X., & Cao, K.* (2023). Spatial multi-objective optimization of institutional elderly-care facilities: A case study in Shanghai. International Journal of Applied Earth Observation and Geoinformation, 122, 103436. https://doi.org/10.1016/j.jag.2023.103436

Neo, H. Y. R., Wong, N. H., Ignatius, M., & Cao, K.* (2023). A hybrid machine learning approach for forecasting residential electricity consumption: A case study in Singapore. Energy & Environment, 0958305X231174000.https://doi.org/10.1177/0958305X231174000

Wu, B.*, Yan, J., & Cao, K.* (2023). l0-Norm variable adaptive selection for geographically weighted regression model. Annals of the American Association of Geographers, 113(5), 1190-1206.https://doi.org/10.1080/24694452.2022.2161988

Cai, F. , Cheng, S. F., Wu, B., & Cao, K. (2022, August). Taxi travel time based Geographically Weighted Regression Model (GWR) for modeling public housing prices in Singapore. In 2022 29th International Conference on Geoinformatics (pp. 1-5). IEEE.

Ding, Y. , Cao, K.*, Qiao, W.*, Shao, H., Yang, Y., & Li, H. (2022). A whale optimization algorithm–based cellular automata model for urban expansion simulation. International Journal of Applied Earth Observation and Geoinformation, 115, 103093.https://doi.org/10.1016/j.jag.2022.103093

Qi, Y. T., Ren, R.*, & Cao, K. (2022). Multi-perspective analysis of the job-hunting dilemma of overseas returned students through the lens of Bourdieu's theory of pratice. Progress in Geography, 41(10), 1913-1925.

Yang, H., Chiu, M. Y. L., Feng, Q., & Cao, K.* (2022). Analysis of accessibility to hierarchical healthcare facilities in urban area: A case study in Shanghai. Transactions in GIS, 26(7), 3028-3043. https://doi.org/10.1111/tgis.12993

Ang, Y. N. H., & Kai, Cao.* (2022). GIS Based FLMP Solving in Densely Populated City Areas: a Case Study in Singapore. Journal of Geodesy & Geoinformation Science, 5(2). DOI:10.11947/j.JGGS.2022.0211

Xu, L., Tong, S., He, W., Zhu, W., Mei, S., Cao, K., & Yuan, C.* (2022). Better understanding on impact of microclimate information on building energy modelling performance for urban resilience. Sustainable Cities and Society, 80, 103775.https://doi.org/10.1016/j.scs.2022.103775

Xu, J., Zhao, Y., Lyu, H.*, Liu, H., Dong, X., Li, Y., Cao, K. ... & Guo, H. (2022). A semianalytical algorithm for estimating particulate composition in inland waters based on Sentinel-3 OLCI images. Journal of Hydrology, 608, 127617.https://doi.org/10.1016/j.jhydrol.2022.127617

Yue, Y.*, Liu, Y., Chen, Y., He, L., Chen, C., Li, W., ... & Cao, K. (2022). Integration Path of Spatial and Geo-Computing and Computational Social Science. Geomatics and Information Science of Wuhan University, 47(1), 1-18.DOI: 10.13203/j.whugis20210619

Ding, Y., Hu, J., Yang, Y.*, Ma, W., Jiang, S., Pan, X., ... & Cao, K. (2022). Monitoring the distribution and variations of city size based on night-time light remote sensing: a case study in the Yangtze River Delta of China. Remote Sensing, 14(14), 3403. https://doi.org/10.3390/rs14143403

Cao, K.*, Qi, Y., Kwan, M. P., & Li, X. (2022). Geosocial Analytics. In New Thinking in GIScience (pp. 283-291). Singapore: Springer Nature Singapore.

Zou, Z.*, Gan, H., Huang, Q., Cai, T., & Cao, K. (2021). Disaster image classification by fusing multimodal social media data. ISPRS International Journal of Geo-Information, 10(10), 636. https://doi.org/10.3390/ijgi10100636

Neo, H. Y. R., Wong, N. H., Ignatius, M., Yuan, C., Xu, Y., & Cao, K.* (2023). Spatial analysis of public residential housing's electricity consumption in relation to urban landscape and building characteristics: A case study in Singapore. Energy & Environment, 34(2), 233-254.https://doi.org/10.1177/0958305X211056031

Zhang, W., Yu, M., He, Q., Wang, T.*, Lin, L., Cao, K., ... & Chen, J. (2020). The spatial and temporal impact of agricultural crop residual burning on local land surface temperature in three provinces across China from 2015 to 2017. Journal of Cleaner Production, 275, 124057.https://doi.org/10.1016/j.jclepro.2020.124057

Cao, K.*, Li, W., & Church, R. (2020). Big data, spatial optimization, and planning. Environment and Planning B: Urban Analytics and City Science, 47(6), 941-947. https://doi.org/10.1177/2399808320935269

Lee, G. L., Ghoh, C. S., Koh, G. C., Goh, S. N., Chai-Lim, C., Chiu, M. Y., ... & Cao, K. (2020). Post-hospital caregiving experiences: An exploratory, longitudinal mixed-methods study. In The Routledge Handbook of Social Work Practice Research (pp. 314-325). Routledge.https://doi.org/10.4324/9780429199486

Yu, Y., Zhang, W., Fu, P.*, Huang, W., Li, K., & Cao, K. (2020). The spatial optimization and evaluation of the economic, ecological, and social value of urban green space in Shenzhen. Sustainability, 12(5), 1844.https://doi.org/10.3390/su12051844

Cao, K.*, Liu, M., Wang, S., Liu, M., Zhang, W., Meng, Q., & Huang, B. (2020). Spatial multi-objective land use optimization toward livability based on boundary-based genetic algorithm: A case study in Singapore. ISPRS International Journal of Geo-Information, 9(1), 40.DOI:10.3390/ijgi9010040

Zou, Z., Cai, T., & Cao, K.* (2020). An urban big data-based air quality index prediction: A case study of routes planning for outdoor activities in Beijing. Environment and Planning B: Urban Analytics and City Science, 47(6), 948-963.https://doi.org/10.1177/2399808319862292

Cao, K., Zhang, W.*, Liu, S., Huang, B.*, & Huang, W. (2019). Pareto law-based regional inequality analysis of PM2. 5 air pollution and economic development in China. Journal of environmental management, 252, 109635.https://doi.org/10.1016/j.jenvman.2019.109635

Cao, K.*, & Huang, B. (2019). Spatial optimization for land use planning: Opportunities and challenges. Transactions in GIS, 23(4).DOI:10.1111/tgis.12573

Cao, K., Zhang, W.*, & Wang, T. (2019). Spatio‐temporal land use multi‐objective optimization: A case study in Central China. Transactions in GIS, 23(4), 726-744. https://doi.org/10.1111/tgis.12535

Lu, Y., & Cao, K.* (2019). Spatial analysis of big data industrial agglomeration and development in China. Sustainability, 11(6), 1783. https://doi.org/10.3390/su11061783

Yu, M., Yuan, X., He, Q., Yu, Y., Cao, K., Yang, Y., & Zhang, W.* (2019). Temporal-spatial analysis of crop residue burning in China and its impact on aerosol pollution. Environmental Pollution, 245, 616-626.https://doi.org/10.1016/j.envpol.2018.11.001

Cao, K.*, Guo, H., & Zhang, Y.* (2019). Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China. Sustainability, 11(3), 660.https://doi.org/10.3390/su11030660

Yu, Y., Yu, M., Lin, L., Chen, J., Li, D., Zhang, W.*, & Cao, K.* (2019). National green GDP assessment and prediction for China based on a CA-Markov land use simulation model. Sustainability, 11(3), 576. https://doi.org/10.3390/su11030576

Cao, K.*, Diao, M., & Wu, B.* (2019). A big data–based geographically weighted regression model for public housing prices: A case study in Singapore. Annals of the American Association of Geographers, 109(1), 173-186.https://doi.org/10.1080/24694452.2018.1470925

Zhang, W.*, Wang, H., Cao, K., He, S., & Shan, L. (2019). Ecological conservation–and economic development–based multiobjective land-use optimization: Case study of a rapidly developing city in central China. Journal of Urban Planning and Development, 145(1), 05018023.https://doi.org/10.1061/(ASCE)UP.1943-5444.0000481

Deborah, O. M. L., Chiu, M. Y. L.*, & Cao, K.* (2018). Geographical accessibility of community health assist scheme general practitioners for the elderly population in Singapore: a case study on the elderly living in housing development board flats. International journal of environmental research and public health, 15(9), 1988.https://doi.org/10.3390/ijerph15091988

Zhang, W., He, Q., Wang, H., Cao, K.*, & He, S. (2018). Factor analysis for aerosol optical depth and its prediction from the perspective of land-use change. Ecological indicators, 93, 458-469.https://doi.org/10.1016/j.ecolind.2018.05.026

Terh, S. H., & Cao, K.* (2018). GIS-MCDA based cycling paths planning: a case study in Singapore. Applied geography, 94, 107-118.https://doi.org/10.1016/j.apgeog.2018.03.007

Cao, K., & Huang, Q.* (2018). Geo-sensor (s) for potential prediction of earthquakes: can earthquake be predicted by abnormal animal phenomena?. Annals of GIS, 24(2), 125-138.https://doi.org/10.1080/19475683.2018.1450785

Zhang, P.*, Bao, N., & Cao, K. (2018). A review on the current progress in chinese historical GIS research.DOI:10.1016/B978-0-12-409548-9.09659-7

Zhang, Y.*, Jin, Y., Steemers, K., & Cao, K. (2018). The Study of the Effects of Built Form on Pedestrian Activities: A GIS-Based Integrated Approach.DOI:10.1016/B978-0-12-409548-9.09676-7

Cao, K., & Huang, Q.* (2018). Geo-sensor (s) for potential prediction of earthquakes: can earthquake be predicted by abnormal animal phenomena?. Annals of GIS, 24(2), 125-138.https://doi.org/10.1080/19475683.2018.1450785

Sun, X., Li, Y.*, Zhu, X., Cao, K., & Feng, L. (2017). Integrative assessment and management implications on ecosystem services loss of coastal wetlands due to reclamation. Journal of Cleaner Production, 163, S101-S112.https://doi.org/10.1016/j.jclepro.2015.10.048

Guo, H.*, Cao, K., & Wang, P. (2017). Population estimation in Singapore based on remote sensing and open data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 1181-1187.https://doi.org/10.5194/isprs-archives-XLII-2-W7-1181-2017

Cao, K. (2017). 1.17 Spatial optimization for sustainable land use planning. Comprehensive geographic information systems, 244.

Lyu, H.*, Wang, Y., Jin, Q., Li, X., Cao, K., Wang, Q., & Li, Y. (2017). A practical approach to retrieving the finer areas of algal bloom in inland lakes from coarse spatial resolution satellite data. International Journal of Remote Sensing, 38(14), 4069-4085. https://doi.org/10.1080/01431161.2017.1312621

Zhang, W., Cao, K., Liu, S., & Huang, B.* (2017). GIS-based accessibility analysis of health-care facilities: a case study in Hong Kong. Comprehensive geographic information systems.http://dx.doi.org/10.1016/B978-0-12-409548-9.09661-5

Wu, B.*, Huang, B., Cao, K., & Zhuo, G. (2017). Improving spatiotemporal reflectance fusion using image inpainting and steering kernel regression techniques. International Journal of remote sensing, 38(3), 706-727.https://doi.org/10.1080/01431161.2016.1271471

Zou, Z., Yu, Z., & Cao, K.* (2017). An innovative GPS trajectory data based model for geographic recommendation service. Transactions in GIS, 21(5), 880-896.https://doi.org/10.1111/tgis.12248

Du, S.*, Luo, L., Cao, K., & Shu, M. (2016). Extracting building patterns with multilevel graph partition and building grouping. ISPRS Journal of Photogrammetry and Remote Sensing, 122, 81-96.https://doi.org/10.1016/j.isprsjprs.2016.10.001

Zhang, W., Cao, K., Liu, S., & Huang, B.* (2016). A multi-objective optimization approach for health-care facility location-allocation problems in highly developed cities such as Hong Kong. Computers, Environment and Urban Systems, 59, 220-230. https://doi.org/10.1016/j.compenvurbsys.2016.07.001

Li, W.*, Cao, K., & Church, R. L. (2016). Cyberinfrastructure, GIS, and spatial optimization: opportunities and challenges. International Journal of Geographical Information Science, 30(3), 427-431.https://doi.org/10.1080/13658816.2015.1112906

Zhang, P.*, Lin, H., Chitty, N., & Cao, K. (2016). Beijing temples and their social matrix–A GIS reconstruction of the 1912–1937 social scape. Annals of GIS, 22(2), 129-140.https://doi.org/10.1080/19475683.2016.1158735

Wang, H.*, Liu, D., Munroe, D., Cao, K., & Biermann, C. (2016). Study on selecting sensitive environmental variables in modelling species spatial distribution. Annals of GIS, 22(1), 57-69.https://doi.org/10.1080/19475683.2015.1114523

Gao, S.*, Zhang, W., Liu, J., Lin, I. I., Chiu, L. S., & Cao, K. (2016). Improvements in typhoon intensity change classification by incorporating an ocean coupling potential intensity index into decision trees. Weather and Forecasting, 31(1), 95-106.https://doi.org/10.1175/WAF-D-15-0062.1

Xue, W., & Cao, K.* (2016). Optimal routing for waste collection: a case study in Singapore. International Journal of Geographical Information Science, 30(3), 554-572.https://doi.org/10.1080/13658816.2015.1103374

Li, W.*, Song, M., Zhou, B., Cao, K., & Gao, S. (2015). Performance improvement techniques for geospatial web services in a cyberinfrastructure environment–A case study with a disaster management portal. Computers, Environment and Urban Systems, 54, 314-325.https://doi.org/10.1016/j.compenvurbsys.2015.04.003

Zhang, H. K., Huang, B.*, Zhang, M., Cao, K., & Yu, L. (2015). A generalization of spatial and temporal fusion methods for remotely sensed surface parameters. International Journal of Remote Sensing, 36(17), 4411-4445.https://doi.org/10.1080/01431161.2015.1083633

Xue, W., Cao, K.*, & Li, W. (2015). Municipal solid waste collection optimization in Singapore. Applied Geography, 62, 182-190.https://doi.org/10.1016/j.apgeog.2015.04.002

Lyu, H.*, Li, X., Wang, Y., Jin, Q., Cao, K., Wang, Q., & Li, Y. (2015). Evaluation of chlorophyll-a retrieval algorithms based on MERIS bands for optically varying eutrophic inland lakes. Science of the Total Environment, 530, 373-382.https://doi.org/10.1016/j.scitotenv.2015.05.115

Xu, Y.*, Huang, B., Xu, Y., Cao, K., Guo, C., & Meng, D. (2015). Spatial and temporal image fusion via regularized spatial unmixing. IEEE Geoscience and Remote Sensing Letters, 12(6), 1362-1366.DOI: 10.1109/LGRS.2015.2402644

Li, W.*, Bhatia, V., & Cao, K. (2015). Intelligent polar cyberinfrastructure: enabling semantic search in geospatial metadata catalogue to support polar data discovery. Earth Science Informatics, 8, 111-123.https://doi.org/10.1007/s12145-014-0185-z

Cao, K.*, Zhang, H., Chen, J., Zhang, W., & Yu, L. (2014). Variational model-based very high spatial resolution remote sensing image fusion. Journal of Applied Remote Sensing, 8(1), 083565-083565.https://doi.org/10.1117/1.JRS.8.083565

Cao, K.*, Huang, B., Li, M., & Li, W. (2014). Calibrating a cellular automata model for understanding rural–urban land conversion: A Pareto front-based multi-objective optimization approach. International Journal of Geographical Information Science, 28(5), 1028-1046.https://doi.org/10.1080/13658816.2013.851793

Zou, Z., Wang, Y., Cao, K.*, Qu, T., & Wang, Z. (2013). Semantic overlay network for large-scale spatial information indexing. Computers & geosciences, 57, 208-217.https://doi.org/10.1016/j.cageo.2013.04.019

Cao, K.*, & Ye, X. (2013). Coarse-grained parallel genetic algorithm applied to a vector based land use allocation optimization problem: the case study of Tongzhou Newtown, Beijing, China. Stochastic Environmental Research and Risk Assessment, 27, 1133-1142.https://doi.org/10.1007/s00477-012-0649-y

Zou, Z.*, Wang, Y., Cao, K., Shen, S., & Zhang, B. (2013). An Efficient Spatial Data Index Based On Gossip for Overlay Networks. SmartCR, 3(3), 199-209.

Xue, Y.*, Yu, L., Cao, K., & Xu, P. (2013). Using support vector regression to analyze urban atmosphere pollution with optical remote sensing data. Journal of Earth Science and Engineering, 3(3), 180.

Zhang, W., Gao, S.*, Chen, B., & Cao, K. (2013). The application of decision tree to intensity change classification of tropical cyclones in western North Pacific. Geophysical Research Letters, 40(9), 1883-1887. https://doi.org/10.1002/grl.50280

Chen, J.*, Zhang, W., Gao, J., & Cao, K. (2012). Assimilating multi-site measurements for semi-distributed hydrological model updating. Quaternary international, 282, 122-129.https://doi.org/10.1016/j.quaint.2012.01.030

Zhang, A. Y., Wang, Q., Wu, C., Ma, W., Zhou, M., & Cao, K. (2012, October). Spatial and temporal analysis of water quality trends in the Min River Basin. In 2012 International Symposium on Geomatics for Integrated Water Resource Management (pp. 1-7). IEEE.DOI: 10.1109/GIWRM.2012.6349581

Cao, K.*, Huang, B., Wang, S., & Lin, H. (2012). Sustainable land use optimization using Boundary-based Fast Genetic Algorithm. Computers, Environment and Urban Systems, 36(3), 257-269. https://doi.org/10.1016/j.compenvurbsys.2011.08.001

Cao, K.*, Lv, H., Wu, B., & Xu, Y. (2011, June). Spatial-temporal analysis of land use and coverage change in Nanjing based on GIS/RS. In Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (pp. 427-430). IEEE.DOI: 10.1109/ICSDM.2011.5969080

Li, X.*, Kraak, M. J., Cao, K., & Hu, S. (2011, June). User behavior in triple space: Working in a coordinated multiple view (CMV) environment. In 2011 19th International Conference on Geoinformatics (pp. 1-4). IEEE.DOI: 10.1109/GeoInformatics.2011.5980923

Geng, J.*, Cao, K., Yu, L., & Tang, Y. (2011, June). Geographically Weighted Regression model (GWR) based spatial analysis of house price in Shenzhen. In 2011 19th international conference on geoinformatics (pp. 1-5). IEEE.DOI:10.1109/GeoInformatics.2011.5981032

Yu, L.*, Cao, K., Wu, Y., & Zhang, R. D. (2011). Using Cross-sensor Image Learning for CBERS CCD Bands Simulation. Remote Sensing for Land & Resources(03),48-53.

Cao, K.*, Batty, M., Huang, B., Liu, Y., Yu, L., & Chen, J. (2011). Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II. International Journal of Geographical Information Science, 25(12), 1949-1969.https://doi.org/10.1080/13658816.2011.570269

Wang, J., Cui, C., Cao, K., Hu, W., & Wang, Bo. (2011). Delimitating trade area based on electronic map. CN Patent 201,110,372,253

Cao, K.*, & Huang, B. (2010). Comparison of spatial compactness evaluation methods for simple genetic algorithm based land use planning optimization problem. In Joint international conference on theory, data handling and modelling in GeoSpatial information science, The international archives of the photogrammetry, remote sensing and spatial information sciences (Vol. 38, No. part II).

Wang, S.*, Shi, S., Liu, B., & Cao, K. (2009, August). Spatio-temporal data model based on dynamic correlation. In 2009 17th International Conference on Geoinformatics (pp. 1-5). IEEE.DOI:10.1109/GEOINFORMATICS.2009.5293391

Kai, C.*, Bo, H., Qing, Z., & Shengxiao, W. (2009, August). Land use allocation optimization towards sustainable development based on genetic algorithm. In 2009 17th International Conference on Geoinformatics (pp. 1-5). IEEE.DOI: 10.1109/GEOINFORMATICS.2009.5292899

Kai, C.*, Bo, H., Heng, L., & Biao, L. (2008, July). RBF Neural network supported classification of remote sensing images based on TM/ETM+ in Nanjing. In IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium (Vol. 4, pp. IV-750). IEEE.DOI: 10.1109/IGARSS.2008.4779831

Huang, B.*, Wu, B., Liu, B., & Cao, K. (2008). Spatial intelligence: advancement of geographic information science. Journal of Remote Sensing, 5, 766-771.DOI:10.11834/jrs.200805100

Cao, K.*, Jiang, N., & Lü, H. (2007). The extraction of water information in urban areas based on SPOT5 image using object-oriented method. Remote sensing for land & resources, 2, 27-30.doi: 10.3969/j.issn.1001-070X.2007.02.007

Kai, C.*, & Nan, J. (2006, July). The Study of Automatically Extracting Water Information in City Zone Based On SPOT5 Image. In 2006 IEEE International Symposium on Geoscience and Remote Sensing (pp. 1481-1484). IEEE.DOI: 10.1109/IGARSS.2006.382

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Heng, L.*, LI, X., & CAO, K. (2006). Quantitative retrieval of suspended solid concentration in lake taihu based on BP neural net. Geomatics and Information Science of Wuhan University, 31(8), 683-686.

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