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Filters: Date Range: {"choice":"year"} (X) > partyWithName: David L Blodgett (X)

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This module is a product of the 2012 CDI-funded project Python port of Geo Data Portal (GDP) client tools (WPS) with hooks for ArcGIS Toolbox. The purpose of the module is to increase the functionality of the USGS Geo Data Portal (GDP). The GDP, developed by USGS’s Center for Integrated Data Analytics, provides a powerful functionality to process climate and other large remote gridded data, returning summary statistics and areal tabulations over user specified areas. Currently the user interface is an interactive web form, returning a CSV table. This work allows users to access the functionality directly via a GDP Python module. Benefits: Enables scientists to bring subsets of climate models and other GDP...
CDI helped fund development of the USGS Geo Data Portal in 2010. In 2012, CDI funded two projects to increase the functionality of the Geo Data Portal. The Resources section below contains links to the Geo Data Portal website and deliverables from the 2012 projects. Principal Investigator : David L Blodgett Description of the Geo Data Portal from the Geo Data Portal documentation home : The USGS Geo Data Portal (GDP) project provides scientists and environmental resource managers access to downscaled climate projections and other data resources that are otherwise difficult to access and manipulate. This user interface demonstrates an example implementation of the GDP project web-service software and standards-based...
This project sought to incorporate land-use land-cover time series data into the Geo Data Portal web service infrastructure. Till now, the Geo Data Portal has been used for relatively low spatial resolution downscaled climate data. Data from the EPA’s Integrated Climate and Land Use Scenarios was incorporated into a web service compatible with the Geo Data Portal and is now hosted in the Geo Data Portal catalog. Great progress was made in establishing connections between the Land-Processes Distributed Active Archive Center’s (LP-DAAC) holdings of MODIS satellite derived land cover data. At this time, the data is only available on development servers, but many issues were fixed and close partners are using the integration...