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
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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 |
DOI | 10.3390/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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