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David L Blodgett

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...
Geo Data Portal
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...
GeoData Portal Python Toolkit pyGDP provides a fast and efficient way of making calls to the USGS GeoData Portal http://cida.usgs.gov/gdp/ from a python environment. Data format: delimited text, NetCDF, GeoTIFF, Python/Numpy array. pyGDP has the following alogrithms: - FeatureCategoricalGridCoverage - FeatureWeightedGridStatistics - FeatureCoverageOPenDap - FeatureCoverageWCSIntersection
Categories: Data; Types: Application, GeoTIFF
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Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the world based on the MERIT hydrography and the Natural Earth river names. Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. See "Blodgett et al., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts https://doi.org/10.1016/j.envsoft.2020.104927" for mainstems data model details.
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Enabling Discovery and Access to USGS Great Lakes Scientific Data Through Web-Based Applications
Description of Work U.S. Geological Survey (USGS) will provide easily accessible, centrally located, USGS biological, water resources, geological, and geospatial datasets for Great Lakes basin restoration activities coordinated with GLOS. Managers, partners and the public will be able to readily access this information in usable interactive formats to help plan and implement restoration activities. Building tools and infrastructure to support standard data access, efficient data discovery and dynamic mapping of watersheds and their hydrologic properties. Developing decision support tools to enhance scientific investigation or disseminate project findings, for example integrating hydrologic models with real-time...
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