New grant opportunity on Grants.gov: Cooperative Ecosystem Studies Unit, Colorado Plateau CESU

Funding Opportunity ID: 327704 Opportunity Number: G20AS00082 Opportunity Title: Cooperative Ecosystem Studies Unit, Colorado Plateau CESU Opportunity Category: Discretionary Opportunity Category Explanation: Funding Instrument Type: Cooperative Agreement Category of Funding Activity: Science and Technology and other Research and Development Category Explanation: CFDA Number(s): 15.808 Eligible Applicants: Others (see text field entitled "Additional Information on Eligibility" for clarification) Additional Information on Eligibility: This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU's are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Colorado Plateau Cooperative Ecosystem Studies Unit (CPCESU) Program. Agency Code: DOI-USGS1 Agency Name: Department of the Interior U. S. Geological Survey Posted Date: Jun 15, 2020 Close Date: Jun 28, 2020 Last Updated Date: Jun 15, 2020 Award Ceiling: $80,000 Award Floor: $0 Estimated Total Program Funding: $80,000 Expected Number of Awards: 1 Description: The U.S. Geological Survey (USGS) Western Geographic Science Center (WGSC) is offering a funding opportunity to a CESU partner for research to support analysis of multi-temporal climate and surface water monitoring data across California. Long-term monitoring of surface water inundation is being conducted with Landsat and MODIS imagery by the U.S. Geological Survey. Project partners are focused on climate monitoring using daily gridded PRISM/DAYMET climate data. Linking monitoring efforts to establish relationships between surface water changes and climate helps develop a better understanding of climatic forces and impacts, which may in turn help inform hazard mitigation efforts and management of water resources. Recent advances in raster processing, such as those provided in the Google Earth Engine environment, have the potential to increase the spatial and temporal extent of the study, enabling PIs to more efficiently evaluate climate-water interrelationships across a greater geographic extent and over a longer period. Use of the cloud-based Google Earth Engine environment for processing climate and satellite imagery datasets avoids significant costs associated with downloading and storing huge amounts of data spanning the years 1985-present. Version: 2 Modification Comments: TO REVISE CLOSING DATE

Published at: June 15, 2020 at 05:15PM
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