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Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City
Zhang, Xuanze; Song, Peilin
2021-06-01
Source PublicationREMOTE SENSING
Volume13Issue:11Pages:15
Corresponding AuthorZhang, Xuanze(xuanzezhang@igsnrr.ac.cn)
AbstractEstimating 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.
Keywordevaporation evapotranspiration LAI NDVI urban ecosystem sponge city PML-V2 Penman-Monteith equation Sentinel-2
DOI10.3390/rs13112048
WOS KeywordMODELING RAINFALL INTERCEPTION ; ADAPTED ANALYTICAL MODEL ; URBANIZATION IMPACTS ; SIMULATION
Indexed BySCI
Language英语
Funding ProjectBeijing Municipal Natural Science Foundation[8212017] ; National Natural Science Foundation of China[42001019] ; Shanghai Sailing Program[19YF1413100]
Funding OrganizationBeijing Municipal Natural Science Foundation ; National Natural Science Foundation of China ; Shanghai Sailing Program
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000660598800001
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164097
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Xuanze
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
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.
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