Filters: Contacts: USGS ScienceBase Team (X) > partyWithName: U.S. Geological Survey (X) > Types: Map Service (X)
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This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segements across the Delaware River Basin (DRB). Results are provided for two time periods: the historical drought-of-record from 1965-10-02 to 1969-12-30, and that same drought evaluated in climatic conditions that are consistent with a LENS2 enseble climate projection from 2057-10-02 to 2061-12-30. Results are provided for a total of three Random Forest models, corresponding to three input attribute sets (dynamic attributes, dynamic and static attributes, and dynamic attributes and a minimum set of static attributes)....
Categories: Data,
Data Release - In Progress;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware (DE),
Delaware River Basin,
Environment,
Machine Learning,
Maryland (MD),
The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
irrigation,
landuse,
water use
This Open Geospatial Consortium (OGC) GeoPackage (.gpkg) contains water-well point features and associated tables for the state of Oklahoma that have been reformatted based on a USGS profile of the OGC GroundWaterML2 (GWML2) standard (https://docs.ogc.org/is/19-013/19-013.html). Additionally, the water-well records have been quality-assured to remove or nullify parts of water-well records found to be erroneous or logically inconsistent, harmonized via the assignment of common data codes in the lithologic log, and supplemented with estimates of transmissivity from the analysis of specific-capacity data. The National Water-Well Database (NWWDB) is a compilation of water-well records from state-managed databases that...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
Oklahoma,
United States,
bedrock geologic units,
data integration,
This Open Geospatial Consortium (OGC) GeoPackage (.gpkg) contains water-well point features and associated tables for the state of Oklahoma that have been reformatted based on a USGS profile of the OGC GroundWaterML2 (GWML2) standard (https://docs.ogc.org/is/19-013/19-013.html). The water-well records provided in this data set have not received additional processing or interpretation by the USGS beyond the GWML2 standardization. The National Water-Well Database (NWWDB) is a compilation of water-well records from state-managed databases that have been standardized to a common format for consistency across state and administrative boundaries. Water-well completion reports that are submitted to permitting state agencies...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
Oklahoma,
United States,
bedrock geologic units,
data integration,
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