Monitoring land cover change over time is essential to understanding ecosystem health, biodiversity, forest carbon cycling, and much more. Land cover/land use (LCLU) data and maps are critical components for climate monitoring applications such as Greenhouse Gas (GHG) emissions reports. LCLU changes, due primarily to deforestation,
The Applied Science Team (AST) led by Stephanie Granger and Narendra Das from the NASA Jet Propulsion Lab (JPL) conducted a three-day Regional Hydrologic Extremes Assessment System (RHEAS) training workshop at RCMRD, Nairobi Kenya from 1-4th November, 2016. The training aimed at operationalizing and automating various features of RHEAS and building the capacity of RCMRD/SERVIR E&SA technical team in using it. RHEAS combines two models (DSSAT (crop model) and VIC (hydrological model)) to form the East Africa Drought and Agricultural Productivity Assessment and Prediction system. The system is expected to provide drought and yield assessments (with uncertainty levels) for selected countries in the Eastern and Southern Africa region at county/sub-regional levels. The system has a hydrologic model that can make estimations of both the current time period and future time periods.
RCMRD/SERVIR-E&SA staff recently conducted capacity assessment for six institutions in Tanzania working with the Water Resources Integration Development Initiative (WARIDI) project. The main objective of the assessment was to establish current capacity of institutions to integrate Earth Observation information and geospatial
SERVIR-E&SA recently conducted a capacity assessment for eight institutions in Rwanda. These institutions are working with the Rwandan Government institutions and key stakeholders to develop a Land Based Decision Support Tool. The tool will build on the existing Risk atlas and other in-country information to inform specific land use and planning decision making processes.