Filters: Tags: Wildfire (X) > partyWithName: Western Geographic Science Center (X)

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Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2011 Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2011 and were mapped using Landsat satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Land Use Change, Madrean Archipelago, New Mexico, USA, All tags... Remote Sensing, Sonora, Mexico, USGS Science Data Catalog (SDC), biota, burn mapping, fire severity, landsat, remote sensing, wildfire, Fewer tags Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2017 Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2017 and were mapped using Landsat satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Ecology, Forestry, Geography, All tags... Madrean Archipelago, Madrean Archipelago, Mexico, New Mexico, USA, Remote Sensing, Sonora, Mexico, US, USGS, USGS Science Data Catalog (SDC), biota, biota, burn mapping, remote sensing, wildfire, Fewer tags Differenced Normalized Burn Ratio (dNBR) data of wildfires in the Sky Island Mountains of the southwestern US and Northern Mexico from 1985-2011 This dataset is composed of 253 Differenced Normalized Burn Ratio (dNBR) images. Each dNBR represents a rough measure of fire-related vegetation change for wildfires (>400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico. These fires occurred between 1985 and 2011 and were mapped using Landsat 5 and Landsat 7 satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Land Use Change, Madrean Archipelago, New Mexico, USA, All tags... Remote Sensing, Sonora, Mexico, USGS Science Data Catalog (SDC), biota, burn mapping, fire severity, landsat, remote sensing, wildfire, Fewer tags Dataset for 2013 Creek Fire Research Points, Pre- and Post-Fire Data, U.S. Geological Survey The practice of fire suppression across the western United States over the past century has led to dense forests, and when coupled with drought has contributed to an increase in large and destructive wildfires. Forest management efforts aimed at reducing flammable fuels through various fuel treatments can help to restore frequent fire regimes and increase forest resilience. Our research examines how different fuel treatments influenced burn severity and post-fire vegetative stand dynamics on the San Carlos Apache Reservation, in east-central Arizona, U.S.A. Our methods included the use of multitemporal remote sensing data and cloud computing to evaluate burn severity and post-fire vegetation conditions as well as... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arizona, Burn Severity, Creek Fire, Ecology, Forest Management, All tags... Forestry, Fuel Treatments, GIS, Geography, Land Use Change, Multitemporal Kauth Thomas, Remote Sensing, Remote Sensing, San Carlos Apache Reservation, USGS Science Data Catalog (SDC), Wildfire, Fewer tags Differenced Normalized Burn Ratio (dNBR) data of wildfires in the Sky Island Mountains of the southwestern US and northern Mexico from 2011-2017 This dataset is composed of 97 Differenced Normalized Burn Ratio (dNBR) images. Each dNBR represents a rough measure of fire-related vegetation change for wildfires (>400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico. These fires occurred between 2011 and 2017 and were mapped using Landsat 7 and 8 satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Ecology, Forestry, Geography, All tags... Land Use Change, Madrean Archipelago, New Mexico, USA, Remote Sensing, Sonora, Mexico, USGS Science Data Catalog (SDC), biota, burn mapping, fires, remote sensing, wildfire, Fewer tags Burn probability models calibrated using past human and lightning ignition patterns in the Madrean Sky Islands, Arizona Burn probability (BP) models involve the simulation of multiple individual wildfires across a landscape to obtain estimates of fire likelihood at any given location based on ignition source, local terrain, fuels and weather. We used FlamMap software to generate BP for 10,000 simulated fires under the three ignition scenarios: human ignition scenario (HIS), lightning ignition scenario (LIS) and random ignition scenario (RIS) for 13 sky island mountain ranges in Arizona. The zipped folder contains 42 BP models in geotiff format. The naming convention for each tiff is: mountain_range_name + scenario type (human, lightning, or random) + bp. Tags: Arizona, Ecology, FlamMap, Forestry, Geography, All tags... Hydrology, Land Use Change, Madrean Archipelago, Sky Islands, USGS Science Data Catalog (SDC), WUI, biota, burn probability, ignitions, wildfire, Fewer tags