🛰 Satellite(s) and derived dataset(s)Landsat-8, | 📊 Monitoring elementLand spectral reflectance. | ||||
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🧩 Also fits domainLand | |||||
🧰 Description techniqueNhamo et al. (2020) propose a qualitative assessment of groundwater use for irrigated agriculture. It is based on crop evapotranspiration (derived from the WaPOR dataset) , and irrigated areas (characterised using dry season NDVI data derived from Landsat-8). Field surveys were conducted for verification, accuracy improvement and post-classification correction on both agricultural and irrigated areas, respectively. | 📏 Accuracy / ResolutionSpatial resolutions:
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🗺 Case studyVenda-Gazankulu area of Limpopo Province in South Africa. | |||||
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Publication references📚 Nhamo L, Ebrahim GY, Mabhaudhi T, Mpandeli S, Magombeyi M, Chitakira M, Magidi J, Sibanda M. 2020. An assessment of groundwater use in irrigated agriculture using multi-spectral remote sensing. Physics and Chemistry of the Earth, Parts A/B/C. 115:102810. doi:https://doi.org/10.1016/j.pce.2019.102810. 🔗 https://www.sciencedirect.com/science/article/pii/S147470651930049X | |||||
Other references📚 FAO, IHE-Delft, 2019. WaPOR Quality Assessment. Technical Report on the Data Quality of the WaPOR FAO Database Version 1.0. Food and Agriculture Organisation of the United Nations (FAO), and IHE Delft Institute for Water Education (IHE DELFT), Rome, Italy, p. 134. |
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