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Using a combination of remote sensing data and ground observations as inputs, CHC scientists have developed rainfall estimation techniques and other resources to support drought monitoring and predict crop performance in parts of the world vulnerable to crop failure. Policymakers within governments and non-governmental organizations rely on CHC decision-support products to make critical resource allocation decisions. The CHC's scientific focus is "geospatial hydroclimatology," with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food-security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS NET countries (https://fews.net/). The CHC develops better techniques, algorithms, and modeling applications in order to use remote sensing and other geospatial data for hazards early warning.
The EarthEnv project is a collaborative project of biodiversity scientists and remote sensing experts to develop near-global standardized, 1km resolution layers for monitoring and modeling biodiversity, ecosystems, and climate. The work is supported by NCEAS, NASA, NSF, and Yale University.
<<<!!!<<< As of 2017-05-17 the data catalog is no longer available >>>!!!>>> DataFed is a web services-based software that non-intrusively mediates between autonomous, distributed data providers and users. The main goals of DataFed are: Aid air quality management and science by effective use of relevant data - Facilitate the access and flow of atmospheric data from provider to users - Support the development of user-driven data processing value chains. DataFed Catalog links searchable Datafed applications worldwide.