Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield: A case study for Ethiopia
Autor: | Getachew Berhan, Gabriel B. Senay, Shimelis Beyene, Tsegaye Tadesse, Teshome Regassa |
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Rok vydání: | 2015 |
Předmět: |
Early warning
Wet season Global and Planetary Change Food security Drought Evapotranspiration biology business.industry Crop yield Forestry Management Monitoring Policy and Law Sorghum biology.organism_classification Normalized Difference Vegetation Index Geography Risk management Agronomy Agriculture Moderate-resolution imaging spectroradiometer Computers in Earth Sciences business Earth-Surface Processes |
Zdroj: | International Journal of Applied Earth Observation and Geoinformation. 40:39-54 |
ISSN: | 1569-8432 |
DOI: | 10.1016/j.jag.2015.03.006 |
Popis: | Satellite-derived evapotranspiration anomalies and normalized difference vegetation index (NDVI) products from Moderate Resolution Imaging Spectroradiometer (MODIS) data are currently used for African agricultural drought monitoring and food security status assessment. In this study, a process to evaluate satellite-derived evapotranspiration (ETa) products with a geospatial statistical exploratory technique that uses NDVI, satellite-derived rainfall estimate (RFE), and crop yield data has been developed. The main goal of this study was to evaluate the ETa using the NDVI and RFE, and identify a relationship between the ETa and Ethiopia’s cereal crop (i.e., teff, sorghum, corn/maize, barley, and wheat) yields during the main rainy season. Since crop production is one of the main factors affecting food security, the evaluation of remote sensing-based seasonal ETa was done to identify the appropriateness of this tool as a proxy for monitoring vegetation condition in drought vulnerable and food insecure areas to support decision makers. The results of this study showed that the comparison between seasonal ETa and RFE produced strong correlation (R2>0.99) for all 41 crop growing zones in Ethiopia. The results of the spatial regression analyses of seasonal ETa and NDVI using Ordinary Least Squares and Geographically Weighted Regression showed relatively weak yearly spatial relationships (R2 |
Databáze: | OpenAIRE |
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