The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven...

The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven...

The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven...

The Bhutan Agricultural Typology is a part of the Hand-in-Hand initiative (HiH) that aimed to identify micro-regional level innovation opportunities, bottlenecks and investment...

Multi-Criteria Decision Analysis, or MCDA, is a useful methodology that can apply to many complex decisions. Geographic Information Systems multi-criteria decision analysis...

Under the scope of the Hand-in-Hand initiative (HiH), the Agricultural Typology aims to identify micro-regional level innovation opportunities, bottlenecks and investment gaps...

The raster dataset consists of a 500 m score grid for the crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems -...

The raster dataset consists of a 500 m score grid for the crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems -...

Under the scope of the Hand-in-Hand initiative (HiH), the Agricultural Typology aims to identify micro-regional level innovation opportunities, bottlenecks and investment gaps...

Under the scope of the Hand-in-Hand initiative (HiH), the Agricultural Typology aims to identify micro-regional level innovation opportunities, bottlenecks, and investment gaps...

The Lao PDR Agricultural Typology is a part of the Hand-in-Hand initiative (HiH) that aimed to identify micro-regional level innovation opportunities, bottlenecks and investment...

The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap...

The actual Evapotranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I)....

Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the...

Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value...

Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value...

The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. The...

The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual...

The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific...

The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap...