Estimation of Herbaceous Fuel Moisture Content Using Vegetation Indices and Land Surface Temperature from MODIS Data

Fuel and fire behavior analysis for early-season prescribed fire planning in Sudanian and Sahelian savannas

(2012) M. Sow et al.   JOURNAL OF ARID ENVIRONMENTS

Determinants of inter-annual variation in the area burnt in a semiarid African savanna

(2011) C. M. Mulqueeny et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

A simple method for field-based grassland curing assessment

(2011) Stuart A. J. Anderson et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Detecting Canopy Water Status Using Shortwave Infrared Reflectance Data From Polar Orbiting and Geostationary Platforms

(2010) Rasmus Fensholt et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data

(2010) Rasmus Fensholt et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series

(2009) Anne Jacquin et al.   International Journal of Applied Earth Observation and Geoinformation

Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia

(2009) Juan Pablo Guerschman et al.   JOURNAL OF HYDROLOGY

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

(2008) Chaoyang Wu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Remote sensing of vegetation water content from equivalent water thickness using satellite imagery

(2008) M. Tugrul Yilmaz et al.   REMOTE SENSING OF ENVIRONMENT

Vegetation water content during SMEX04 from ground data and Landsat 5 Thematic Mapper imagery

(2007) M. Tugrul Yilmaz et al.   REMOTE SENSING OF ENVIRONMENT

Water content estimation from hyperspectral images and MODIS indexes in Southeastern Arizona

(2007) Yen-Ben Cheng et al.   REMOTE SENSING OF ENVIRONMENT