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New vegetation type map of India prepared using satellite remotesensing: Comparison with global vegetation maps and utilities
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-IIIimages is presented. The map was created using an on-screen visual interpretation technique and has anaccuracy of 90%, ...
Index-based insurance for income stabilization for smallholder farms in Central Asia
Climate change is one of the major challenges for agricultural producers worldwide. In Central Asian countries,
climate-driven irrigation water variability is a major source of risk. Future projections indicate even ...
Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan, using time series of satellite remote sensing vegetation index
The Asian Migratory locust (Locusta migratoria migratoria L.) is a pest that continuously threatens crops
in the Amudarya River delta near the Aral Sea in Uzbekistan, Central Asia. Its development coincides with the growing ...
CRP DS Flagships and Action sites
Map of the CFRP DS Flagships and action sites , version 1
An Integrated GeoAgro Webtool for Spatial Data Visualization and Dissemination
Today, with massive flow of the spatial and non-spatial database, enormous field data collection with enhanced electronic protocols in agricultural research have led to assemblage of massive caches of digital information ...
Crop type map of Fergana valley Central Asia for the year 2010
Crop type map of Fergana valley, Central Asia derived from satellite imagery for the year 2010
Crop type map of Fergana valley Central Asia for the year 2011
Crop type map of Fergana valley, Central Asia derived using satellite imagery for the year 2011
Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015
Due to rapid population growth and urbanization, paddy rice agriculture is experiencing substantial changes in the spatiotemporal pattern of planting areas in the two most populous countries—China and India—where food ...
Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought
Accurate estimation of gross primary production (GPP) is critical for understanding ecosystem response to climate
variability and change. Satellite-based diagnostic models, which use satellite images and/or climate data
as ...
Improving agricultural research through Geoinformatics
Improving agricultural research through Geoinformatics