Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL
| Autor: | Friday Uchenna Ochege, Geping Luo, Michael Chukwuma Obeta, George Owusu, Eldiiar Duulatov, Liangzhong Cao, Jean Baptiste Nsengiyumva |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | GIScience & Remote Sensing, Vol 56, Iss 8, Pp 1305-1332 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1548-1603 1943-7226 15481603 |
| DOI: | 10.1080/15481603.2019.1643531 |
| Popis: | 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 Ts and Normalized Difference Vegetation Index NDVI ($${T_{{s_{hot/NDVI}}}},{T_{{s_{cold/NDVI}}}}$$). 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 $$ \to $$ R2 = 0.94; oasis ecosystem ETa $$ \to $$ R2 = 0.98 (P |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|