We show that training activities conducted through the National Aeronautics and Space Administration (NASA)'s Applied Remote-Sensing Training (ARSET) program led to a significant increase in remote-sensing data use for decision-making. Our findings are based on survey data collected from 1041 ARSET participants from 117 countries who attended ARSET trainings between 2013 and 2016. To assess the impact of the ARSET program, we analyzed changes in three metrics. Results show that 83% of all respondents increased their knowledge of remote-sensing data products at least moderately, 79% increased their ability to access data, and 73% increased their ability to make decisions. We also examined how respondents are using remote-sensing data across 40 specific work tasks ranging from research to decision support applications. More than 50% of respondents reported an increase in data use for all except two of the tasks. ARSET will use these findings, together with participant data on future training needs, to set future directions for the program.

In data scarce regions of the world, co‐produced management tools that combine remote sensing, modeled, and in situ data provide the information needed to support ground‐based monitoring systems for improved water and natural resource management. On the Navajo Nation (N.N.), in the Four Corners of the southwestern United States, there is a need for data‐driven management of water resources as the region is prone to water scarcity and emergency drought declarations, which have become more common under a changing climate. The current tools used by the N.N. Department of Water Resources largely lack the spatial detail, consistent measurements, and political and administrative information specific to their needs for determining appropriate response actions. The Drought Severity Evaluation Tool (DSET), a cloud‐based web application that harnesses the capabilities of Google Earth Engine, is a user‐friendly tool that pairs remotely sensed, modeled, and in situ data on the N.N. The DSET computing capabilities include on‐the‐fly generation of regional to field scale maps, time series figures, and reporting metrics that can assist in drought emergency declarations and the assistance to local communities through the subsequent allocation of relief dollars across the N.N. to the regions that need it most.

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