Dry-season vegetation mass and cover fraction from SWIR1.6 and SWIR2.1 band ratio: Ground-radiometer and MODIS data in the Sahel |
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| Institution: | 1. University of Tunis El Manar, Faculté des Sciences de Tunis, Laboratoire d''Energétique et des Transferts Thermique et Massique (LETTM), Tunisia;2. University of Lyon, Université Claude Bernard Lyon 1, Laboratoire d''Automatique et Génie des Procédés (LAGEP) UMR CNRS 5007, La Doua Campus, CPE Building, Villeurbanne, 69622, France;3. MERSEN Company, Saint Bonnet de Mûre, France;1. Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA;3. Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA;4. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China |
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| Abstract: | The potential of the short-wave infrared (SWIR) bands to detect dry-season vegetation mass and cover fraction is investigated with ground radiometry and MODIS data, confronted to vegetation data collected in rangeland and cropland sites in the Sahel (Senegal, Niger, Mali). The ratio of the 1.6 and 2.1 μm bands (called STI) acquired with a ground radiometer proved well suited for grassland mass estimation up to 2500 kg/ha with a linear relation (r2 = 0.89). A curvilinear regression is accurate for masses ranging up to 3500 kg/ha. STI proved also well suited to retrieve vegetation cover fraction in crop fields, fallows and rangelands. Such dry-season monitoring, with either ground or satellite data, has important applications for forage, erosion risk and fire risk assessment in semi-arid areas. |
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| Keywords: | SWIR Vegetation mass Cover fraction MODIS Ground radiometry Sahel |
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