Titlebook: Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scal; Current Status, Futu Genesis T. Yengo

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Main Global NDVI Datasets, Databases, and Software,scriminate between individual trees and, in some cases, species, but high-resolution imagery is prohibitively costly (see Annex 7) for many national governments and research institutions (Strittholt and Steininger 2007).

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GLEAN

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Limits to the Use of NDVI in Land Degradation Assessment,d changes. This is because remotely sensed satellite-derived datasets provide spatially continuous data (data that are not sampled at individual points) and yield time-series signatures from which temporal patterns, trends, variations, and relationships may be derived (Jacquin et al. 2010). This has

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Development of Land Degradation Assessments,n. They are unrepeatable and systematic data show them to be unreliable (Sonneveld and Dent 2009). Under the FAO/UNEP program ., Bai et al. (2008) undertook a global assessment of land degradation and improvement (GLADA) by analysis of linear trends of climate-adjusted GIMMS NDVI data. GLADA, the fi

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,Experts’ Opinions on the Use of NDVI for Land Degradation Assessment,s, growing season differences between the northern and southern hemisphere and their implications for calendar year summations of NPP, and issues of scale in the interpretation of AVHRR NDVI vs. MODIS NPP relationships. He also maintained that the RESTREND technique provided a more dependable altern

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