Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/15481603.2019.1643531 |
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![]() | |
通讯作者 | Luo, Geping |
来源期刊 | GISCIENCE & REMOTE SENSING
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ISSN | 1548-1603 |
EISSN | 1943-7226 |
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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