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Chinese Academy of Sciences Institutional Repositories Grid
Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City

文献类型:期刊论文

作者Zhang, Xuanze; Song, Peilin
刊名REMOTE SENSING
出版日期2021-06-01
卷号13期号:11页码:15
关键词evaporation evapotranspiration LAI NDVI urban ecosystem sponge city PML-V2 Penman-Monteith equation Sentinel-2
DOI10.3390/rs13112048
通讯作者Zhang, Xuanze(xuanzezhang@igsnrr.ac.cn)
英文摘要Estimating accurately evapotranspiration (ET) in urban ecosystems is difficult due to the complex surface conditions and a lack of fine measurement of vegetation dynamics. To overcome such difficulties using recent developments of remote sensing technology, we estimate leaf area index (LAI) from Sentinel-2-based Normalized Difference Vegetation Index (NDVI) using the NDVI-LAI nonlinear relationship. By applying Sentinel-2-based LAI and land cover classification (LCC) to a carbon-water coupling model (PML-V2.1) with surface meteorological forcing data as input, we, for the first time, estimate monthly ET at 10m x 10m resolution for the Beijing Sponge City. Results show that for the whole sponge city during June 2018, the LAI, ET and gross primary productivity (GPP) are 0.83 m(2) m 2, 1.6 mm d (-1) and 2.8 gC m (-2) d (-1), respectively. For different LCCs, lakes and rivers have the highest ET (>= 8 mm d 1), followed by mixed forests and croplands (ET is 4-6 mm d (-1) and LAI is 2-3 m(2) m (-2)) with dominant contribution (>80%) from plant transpiration, while grasslands (2-4 mm d (-1)) have 50-70% from transpiration due to smaller LAI (1 similar to 2 m(2) m (-2)). The impervious surfaces occupying similar to 60% of the sponge city area, have the smallest ET (<2.0 mm d 1) in which interception evaporation by impervious surface contributes 20-30%, and transpiration from greenbelts (0.5-1.0 m(2) m (-2) of LAI) contributes 40-50%. These findings can provide a valuable scientific basis for policymaking and urban water use planning. This study proposes a Sentinel2-based technology for estimating ET as a feasible framework to evaluate city-level hydrological dynamics in urban ecosystems.
WOS关键词MODELING RAINFALL INTERCEPTION ; ADAPTED ANALYTICAL MODEL ; URBANIZATION IMPACTS ; SIMULATION
资助项目Beijing Municipal Natural Science Foundation[8212017] ; National Natural Science Foundation of China[42001019] ; Shanghai Sailing Program[19YF1413100]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000660598800001
出版者MDPI
资助机构Beijing Municipal Natural Science Foundation ; National Natural Science Foundation of China ; Shanghai Sailing Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/164096]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Xuanze
作者单位Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xuanze,Song, Peilin. Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City[J]. REMOTE SENSING,2021,13(11):15.
APA Zhang, Xuanze,&Song, Peilin.(2021).Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City.REMOTE SENSING,13(11),15.
MLA Zhang, Xuanze,et al."Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City".REMOTE SENSING 13.11(2021):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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