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CRP DS Flagships and Action sites
Map of the CFRP DS Flagships and action sites , version 1
Atlas of Action Sites: Central Asia, Fergana Velley
Atlas of Action Sites: Central Asia, Fergana Valley
Agricultural UAV/Drone in operation at the ICARDA test field
Agricultural drone (UAV) equipped with hyperspectral camera for mapping
Quantification of cropping pattern and productivity of agro-ecosystems in Central Asia
Quantification of cropping pattern and productivity of agro-ecosystems in Central Asia
An inytergrated Web-tools for Spatial Data Access, Archiving and Geoinformatics Capacity and Support
Geoinformatics Portal for Agro-Ecosystems (GeoAgro), part of its integrated systems research portfolio. This online resource provides comprehensive information encompassing all geospatial genres in a streamlined system: ...
Remote sensing derived vegetation indices and phenology products
Geospatial data and information for the agro-ecosystems derived from satellite remote sensing data
Quantification of cropping pattern and productivity of agro-ecosystems in Central Asia
Agricultural production systems in Central Asia have been evolving in response to changes in climate, land use and policies. The cropping pattern and productivities of irrigated and rainfed agro-ecosystems as well as grazing ...
Role of Geospatial Science, Technology and Application (GeSTA) in Agro-Ecosystems
Role of Geospatial Science, Technology and Application (GeSTA) in Drylands Systems
Satellite-based analysis and monitoring of agro-ecosystems and land degradation and desertification in Central Asia
The Central Asia includes six countries (Kazakstan, Uzbekistan, Kyrgystan, Tajistan,
Afganistan, Turkmenistan). Grassland degradation and desertification in the Central Asia has
been accelerated over the past few decades ...
Estimating the Area, Timing and Duration of Rice Fallows for Agricultural Intensification in India
Estimating the Area, Timing and Duration of Rice Fallows for Agricultural
Intensification in India. A pilot study for developing geospatial datasets for near-real time applications