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Project Synopsis: the Ferris Mountain project area consists of mainly timbered slopes, interspersed with upland areas dominated by sagebrush, grass, and mountain shrub communities. Timber stands within the project unit consist of Douglas fir, subalpine fir, spruce, lodgepole pine, limber pine, and aspen, in addition to scattered locations of Rocky Mountain juniper. Long-term suppression of wildfires has promoted the encroachment of conifers into shrublands, aspen stands, and drainages supporting aspen, waterbirch and willows, to the point where many of these communities are non-functional. Decadence and disease is commonly observed in terms of mistletoe, blister rust, and bleeding rust, and pine beetles have...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available fire datasets that identify wildfire and prescribed fire burned areas across the United States. However, these datasets are all limited in some way. Their time periods could cover only a couple of decades or they may have stopped collecting data many years ago. Their spatial footprints may be limited to a specific geographic area or agency. Their attribute data may be limited to nothing more than a polygon and a year. None of the existing datasets provides a comprehensive picture of fires that have burned throughout the last...
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The "RXBURN" data layer contains perimeters from multiple agencies of various prescribed burns, with associated tabular data for responsible agency, contract number, project name, start date, and acres reported. Data provided are merged from sources of varying quality. There has been a significant amount of work to resolve duplicate prescribed fires (from different sources). This layer is in the early stages of development and does not include complete data for all agencies. Two of the attributes in this dataset, PRE_CON_CLASS and POST_CON_CLASS are based on an abstract concept called "Condition Class." There is more information about "Condition Class" in the Overview Description / Entity and Attribute Overview...
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This project will involve prescribed burning 6546 acres (approximately half black) in a mosaic pattern in the Pole Creek area to improve upland plant communities, and aspen stands by removing conifer cover to help sustain aspen habitat by promoting suckering and removing competition by conifers to increase productivity and browse. The project includes a special emphasis on improvement of the age class and diversity of plant communities. Historically, some of this area has been classified as transitional and year long range for mule deer, elk, moose, and antelope. Healthy aspen, mountain shrub, grassland/forb and riparian communities are important parturition and fawn rearing areas for big game. By improving this...
This project is designed to develop a spatial database to track prescribed burns conducted in Florida. The contract recipient will build a spatial database of no less than 10 years of previous prescribed fires (2006-2016), identified by the Florida Forest Service (FFS) burn permit database. The spatial database will be built upon existing spatial fire databases, particularly the Department of Defense (DoD) burn database implemented at Air Force bases in Florida. In populating the database, the vendor will develop and document methodologies to map spatial fire footprints using Geographic Information System (GIS) and remote sensing techniques. The database will be developed on a platform that will be accessible by...
This project is designed to develop a spatial database to track prescribed burns conducted in Florida. The contract recipient will build a spatial database of no less than 10 years of previous prescribed fires (2006-2016), identified by the Florida Forest Service (FFS) burn permit database. The spatial database will be built upon existing spatial fire databases, particularly the Department of Defense (DoD) burn database implemented at Air Force bases in Florida. In populating the database, the vendor will develop and document methodologies to map spatial fire footprints using Geographic Information System (GIS) and remote sensing techniques. The database will be developed on a platform that will be accessible by...
    map background search result map search result map Pole Creek Prescribed Burn BLM Ferris Mountain Prescribed Burn Phase 1 Prescribed Burn Perimeters (rxburn12_1) Pole Creek Prescribed Burn BLM Ferris Mountain Prescribed Burn Phase 1 Prescribed Burn Perimeters (rxburn12_1)