Urban green space classification and water consumption analysis with remote-sensing technology: a case study in Beijing, China

Author:

Di Suchuang12,Li Zhao-Liang345,Tang Ronglin3,Pan Xingyao12,Liu Honglu12,Niu Yong6

Affiliation:

1. Department of Water Hazard Research, Beijing Water Science and Technology Institute, Beijing, China

2. Beijing Engineering Research Center for Non-conventional Water Resources Utilization and Water Saving, Beijing, China

3. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing, China

4. ICube, UdS, CNRS, Illkirch, France

5. Key Laboratory of Agri-informatics, Ministry of Agriculture Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

6. College of Forestry, Shandong Agricultural University, Tai’an, China

Funder

Natural Science Foundation of Beijing Municipality

International Science and Technology Cooperation Programme of China

Beijing Municipal Science and Technology Commission

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference30 articles.

1. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey

2. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation

3. Che, W. 2008. Annual Water Utilization Estimation Of Main Trees, Shrubs and Lawn Grass Species Of Greenland in Beijing [D]. Master dissertation, Beijing Forest University, 2008, 59–60.

4. Regional evaporation estimates from flux tower and MODIS satellite data

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