subject area of
- A method and application of multi-scale validation in spatial land use models
- A two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal
- Comparative Analysis of Normalised Difference Spectral Indices Derived From MODIS for Detecting Surface Water in Flooded Rice Cropping Systems
- Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network
- Development of a Spatial Reference (System) Database
- Evaluating the effect of remote sensing image spatial resolution on soil exchangeable potassium prediction models in smallholder farm settings.
- Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles
- Incorporation of satellite remote sensing pan-sharpened imagery into digital soil prediction and mapping models to characterize soil property variability in small agricultural fields
- MULTI-DATE SENTINEL1 SAR IMAGE TEXTURES DISCRIMINATE PERENNIAL AGROFORESTS IN A TROPICAL FOREST-SAVANNAH TRANSITION LANDSCAPE
- Modis reflectance and active fire data for burn mapping and assessment at regional level
- Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program
- Remotely sensed thermal decay rate: an index for vegetation monitoring.
- Spatial downscaling of soil prediction models based on weighted generalized additive models in smallholder farm settings.
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
- Within-field wheat yield prediction from IKONOS data: a new matrix approach