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Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data
Computational Approaches for Urban Environments
◽
10.1007/978-3-319-11469-9_12
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2014
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pp. 293-310
◽
Cited By ~ 1
Author(s):
Junmei Tang
Keyword(s):
Remote Sensing
◽
Land Use
◽
Land Use Change
◽
Urban Land
◽
Urban Land Use
◽
Urban Land Use Change
◽
Socioeconomic Data
Download Full-text
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Xiaoxia Huang
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Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data
Land Economics
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10.2307/3147108
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Vol 79
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pp. 106-121
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Cited By ~ 266
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Karen C. Seto
◽
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Research Overview on Urban Land Use Change Based on Remote Sensing Images
International Journal of Environmental Science and Development
◽
10.7763/ijesd.2011.v2.95
◽
2011
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pp. 45-48
◽
Cited By ~ 1
Author(s):
Cheng-fan LI
◽
Jing-yuan YIN
◽
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Keyword(s):
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Urban Land Use
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GIS and remote sensing as tools for the simulation of urban land‐use change
International Journal of Remote Sensing
◽
10.1080/01431160512331316865
◽
2005
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pp. 759-774
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Cited By ~ 76
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Cláudia Maria De Almeida
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...
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Remote Sensing
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Urban Land
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Urban Land Use
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Gis And Remote Sensing
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Urban Land Use Change
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Remote Sensing of Urban Land Use Change in Developing Countries: An Example from Büyükçekmece, Istanbul, Turkey
Remote Sensing of Urban and Suburban Areas - Remote Sensing and Digital Image Processing
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10.1007/978-1-4020-4385-7_15
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pp. 289-312
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Author(s):
Derya Maktav
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Filiz Sunar
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Remote Sensing
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Land Use
◽
Developing Countries
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Land Use Change
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Urban Land
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Urban Land Use
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Urban Land Use Change
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Is Less More? Experimenting with Visual Stacking of Coincident Maps for Spatial Global Sensitivity Analysis in Urban Land-use Change Modeling
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10.1016/j.envsoft.2021.105181
◽
2021
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Author(s):
Seda Şalap-Ayça
◽
Piotr Jankowski
◽
Keith C. Clarke
◽
Atsushi Nara
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Land Use
◽
Sensitivity Analysis
◽
Land Use Change
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Global Sensitivity Analysis
◽
Urban Land
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Urban Land Use
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Global Sensitivity
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Land Use Change Modeling
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Urban Land Use Change
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Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method
International Journal of Applied Earth Observation and Geoinformation
◽
10.1016/j.jag.2021.102475
◽
2021
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Vol 103
◽
pp. 102475
Author(s):
Hao Wu
◽
Anqi Lin
◽
Xudong Xing
◽
Danxia Song
◽
Yan Li
Keyword(s):
Land Use
◽
Random Forest
◽
Land Use Change
◽
Land Cover
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Urban Land
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Urban Land Use
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Global Land Cover
◽
Random Forest Method
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Global Land
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Urban Land Use Change
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Urban land use change of Guangzhou, South China, using multiple temporal satellite images
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.
◽
10.1109/igarss.2005.1525443
◽
2005
◽
Author(s):
Chang-qing Ke
◽
Xiao-mei Liu
◽
Chun-ying Shen
Keyword(s):
Land Use
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Land Use Change
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South China
◽
Satellite Images
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Urban Land
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Urban Land Use
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Urban Land Use Change
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Modeling urban land use change: Approaches, state-of-the art, prospects
2012 Socio-economic Benefits Workshop: Defining, measuring, and Communicating the Socio-economic Benefits of Geospatial Information
◽
10.1109/sebw.2012.6292279
◽
2012
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Author(s):
John D. Landis
Keyword(s):
Land Use
◽
Land Use Change
◽
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Urban Land
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Urban Land Use
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Urban Land Use Change
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Urban Land Use Change Detection Using Multisensor Satellite Images
Pedosphere
◽
10.1016/s1002-0160(08)60088-0
◽
2009
◽
Vol 19
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pp. 96-103
◽
Cited By ~ 30
Author(s):
Jin-Song DENG
◽
Ke WANG
◽
Jun LI
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Yan-Hua DENG
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Land Use
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Land Use Change
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Change Detection
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Satellite Images
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Urban Land
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Urban Land Use
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Urban Land Use Change
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