20191022 05115700 1.0 TRUE Land use land cover map generated from LANDSAT satellite images captured on 2009/03/03 LULC Varnasi ESPA Generated for Eco System Services for Poverty Alleviation Project GRAND,IWMI Varnasi Land Use Land Cover Classification 2009 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