Arid
DOI10.1080/15481603.2019.1643531
Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL
Ochege, Friday Uchenna1,2,3,4; Luo, Geping1,2,3; Obeta, Michael Chukwuma5; Owusu, George6; Duulatov, Eldiiar1,2; Cao, Liangzhong1,2; Nsengiyumva, Jean Baptiste1,2
通讯作者Luo, Geping
来源期刊GISCIENCE & REMOTE SENSING
ISSN1548-1603
EISSN1943-7226
出版年2019
卷号56期号:8页码:1305-1332
英文摘要Fragmented ecosystems of the desiccated Aral Sea seek answers to the profound local hydrologically- and water-related problems. Particularly, in the Small Aral Sea Basin (SASB), these problems are associated with low precipitation, increased temperature, land use and evapotranspiration (ET) changes. Here, the utility of high-resolution satellite dataset is employed to model the growing season dynamic of near-surface fluxes controlled by the advective effects of desert and oasis ecosystems in the SASB. This study adapted and applied the sensible heat flux calibration mechanism of Surface Energy Balance Algorithm for Land (SEBAL) to 16 clear-sky Landsat 7 ETM+ dataset, following a guided automatic pixels search from surface temperature T-s and Normalized Difference Vegetation Index NDVI (). Results were comprehensively validated with flux components and actual ET (ETa) outputs of Eddy Covariance (EC) and Meteorological Station (KZL) observations located in the desert and oasis, respectively. Compared with the original SEBAL, a noteworthy enhancement of flux estimations was achieved as follows: - desert ecosystem ETa R-2 = 0.94; oasis ecosystem ETa R-2 = 0.98 (P < 0.05). The improvement uncovered the exact land use contributions to ETa variability, with average estimates ranging from 1.24 mm to 6.98 mm . Additionally, instantaneous ET to NDVI (ETins-NDVI) ratio indicated that desert and oasis consumptive water use vary significantly with time of the season. This study indicates the possibility of continuous daily ET monitoring with considerable implications for improving water resources decision support over complex data-scarce drylands.
英文关键词evapotranspiration Landsat 7 ETM+ SEBAL Small Aral Sea Basin-SASB oasis-desert ecosystem
类型Article
语种英语
国家Peoples R China ; Nigeria ; Ghana
收录类别SCI-E
WOS记录号WOS:000479868900001
WOS关键词ENERGY BALANCE ALGORITHM ; SURFACE ; IRRIGATION ; MODEL ; IMPLEMENTATION ; MANAGEMENT ; VEGETATION ; FLUXES ; BASIN ; FIELD
WOS类目Geography, Physical ; Remote Sensing
WOS研究方向Physical Geography ; Remote Sensing
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/216057
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China;
2.Univ Chinese Acad Sci, Beijing, Peoples R China;
3.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Peoples R China;
4.Univ Port Harcourt, Dept Geog & Environm Management, Port Harcourt, Nigeria;
5.Univ Nigeria, Dept Geog, Hydrol & Water Resources Unit, Nsukka, Nigeria;
6.Univ Ghana, Dept Geog & Resource Dev, Accra, Ghana
推荐引用方式
GB/T 7714
Ochege, Friday Uchenna,Luo, Geping,Obeta, Michael Chukwuma,et al. Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL[J]. 中国科学院新疆生态与地理研究所,2019,56(8):1305-1332.
APA Ochege, Friday Uchenna.,Luo, Geping.,Obeta, Michael Chukwuma.,Owusu, George.,Duulatov, Eldiiar.,...&Nsengiyumva, Jean Baptiste.(2019).Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL.GISCIENCE & REMOTE SENSING,56(8),1305-1332.
MLA Ochege, Friday Uchenna,et al."Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL".GISCIENCE & REMOTE SENSING 56.8(2019):1305-1332.
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