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Article
Estimating Sahelian and East African soil moisture using the Normalized Difference Vegetation Index
Hydrology and Earth System Sciences An Interactive Open Access Journal of the European Geosciences Union (2013)
  • Kari E. Veblen, Utah State University
Abstract

ainfall gauge networks in Sub-Saharan Africa are inadequate for assessing Sahelian agricultural drought, hence satellite-based estimates of precipitation and vegetation indices such as the Normalized Difference Vegetation Index (NDVI) provide the main source of information for early warning systems. While it is common practice to translate precipitation into estimates of soil moisture, it is difficult to quantitatively compare precipitation and soil moisture estimates with variations in NDVI. In the context of agricultural drought early warning, this study quantitatively compares rainfall, soil moisture and NDVI using a simple statistical model to translate NDVI values into estimates of soil moisture.

Publication Date
October, 2013
Citation Information
Kari E. Veblen. "Estimating Sahelian and East African soil moisture using the Normalized Difference Vegetation Index" Hydrology and Earth System Sciences An Interactive Open Access Journal of the European Geosciences Union Vol. 10 (2013)
Available at: http://works.bepress.com/kari_veblen/35/