
Mapping - International Rice Research Institute
The key result of IRRI’s work on mapping is “to provide actionable information to policy-makers.” In recent years, remote-sensing (RS) technology and geographic information systems (GIS) …
GHG Mitigation in Rice - Spatial Data
The maps were produced by using local knowledge to identify/verify the local specific climate-risks (flood and drought/salinity) and corresponding adaptation plans for main crops in normal and …
Digital Tools - International Rice Research Institute
IRRI's internet and mobile accessible digital applications are an efficient, practical way to educate NAREs and farmers with critical information that can improve food productivity.
GHG Mitigation in Rice - MapAWD
Mapping for Alternate Wetting and Drying (MapAWD) is a Microsoft® Excel-based tool to evaluate the bio-physical suitability of AWD as a water-saving technique in certain locations. MapAWD …
International Rice Research Institute
IRRI is dedicated to abolishing poverty and hunger among people and populations that depend on rice-based agri-food systems.
GEOSPATIAL SCIENCES AND MODELING CLUSTER
With advanced geospatial technology, IRRI team aims to promote sustainable and profitable rice-based farming systems to meet current demand for healthy and affordable rice while …
GHG Mitigation in Rice - Resources
Spatial data for maps for MRV and planning in rice production in Vietnam and Bangladesh, including adminstrative maps, climate and soil maps, rice production maps, and AWD …
Home - IRRI Rice Knowledge Bank
Rice Knowledge Bank showcases rice production techniques, agricultural technologies, and best farming practices based on International Rice Research Institute's pool of knowledge from …
Maps – Rice Today
Mar 1, 2022 · Using Sentinel-1, Sentinel-2, and Planet imagery to map crop type of smallholder farms
IrriMap_CN: Improved annual irrigation maps across China in
Jul 23, 2022 · Here we developed annual irrigated cropland maps across China (IrriMap_CN) at 500-m resolution from 2000 to 2019, using MODIS data, machine-learning method, and …