GIS data and scripts for Colorado Legacy Mine Lands Watershed Delineation and Scoring tool (WaDeS)

This data release includes GIS datasets supporting the Colorado Legacy Mine Lands Watershed Delineation and Scoring tool (WaDeS), a web mapping application available at https://geonarrative.usgs.gov/colmlwades/. Water chemistry data were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS), U.S. Environmental Protection Agency (EPA) STORET database, and the USGS Central Colorado Assessment Project (CCAP) (Church and others, 2009). The CCAP study area was used for this application. Samples were summarized at each monitoring station and hardness-dependent chronic and acute toxicity thresholds for aquatic life protections under Colorado Regulation No. 31 (CDPHE, 5 CCR 1002-31) for...

Categories: Data; Tags: "Mineral Resources"], "Water Quality", Arapaho National Forest, Carson National Forest, Colorado, All tags... GGGSC, GIS, Geology, Geophysics, and Geochemistry Science Center, Grand Mesa National Forest, Gunnison National Forest, MRP, Medicine Bow National Forest, Mineral Resource Program, Pike National Forest, Rio Grande National Forest, Routt National Forest, San Isabel National Forest, San Juan National Forest, USGS Science Data Catalog (SDC), Uncompahgre National Forest, White River National Forest, ["Geochemistry", alteration, elevation, geoscientificInformation, geospatial analysis, geospatial datasets, mineral deposits, mineralization, remote sensing, surface water quality, water chemistry, watershed delineation, watershed management, Fewer tags

Modeling data for burn severity of the East Troublesome and Grizzly Creek for integration with post-fire debris flow in the upper Colorado River basin, USA

These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA. These data represent pre-fire predictions of post-fire differenced normalized burn ratio (dNBR) as a proxy of burn severity and further understand pre-fire modeling of burn severity. These data were collected/created in the fire perimeters the East Troublesome Fire (10/14/2020 – 11/30/2020) and the Grizzly Creek Fire (8/10/2020...

Tags: Arapaho National Forest, Botany, Colorado, East Fork Troublesome Creek, East Troublesome Fire, All tags... Ecology, Estes Park, Forestry, Garfield County, Geography, Glenwood Canyon, Glenwood Springs, Granby, Grand County, Grand Lake, Grizzly Creek, Grizzly Creek Fire, Information Sciences, Kremmling, Remote Sensing, Rocky Mountain National Park, Soil Sciences, USGS Science Data Catalog (SDC), Water Resources, White River National Forest, biota, burn severity, dNBR, data release, debris flow, differenced normalized burn ratio, environment, fire damage, fire perimeters, fires, fuel, hazards, landslides, machine learning, modeling, post-fire differenced normalized burn ratio, post-fire hazard, pre-fire conditions, pre-fire estimation, pre-fire modeling, pre-fire predictions, predicted differenced normalized burn ration, predictive models, random forest modeling, remote sensing, volume of debris flow, water quality, wildfire, wildland fire, Fewer tags