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MBMG Geologic Materials Repository Record 202 from Montana Bureau of Mines and Geology
Categories: Physical Item; Tags: HAND SAMPLE
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In the Western U.S., approximately 65% of the water supply comes from forested regions with most of the water that feeds local rivers coming from snowmelt that originates in mountain forests. The Rio Grande headwaters (I.e. the primary water generating region of the Rio Grande river) is experiencing large changes to the landscape primarily from forest fires and bark beetle infestations. Already, 85% of the coniferous forests in this region have been affected by the bark beetle, and projections indicate greater changes will occur as temperatures increase. In this area, most of the precipitation falls as snow in the winter, reaches a maximum depth in the late spring, and melts away due to warmer temperatures by early...
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Small lakes are important to local economies as sources of water supply and places of recreation. Commonly, lakes are considered more desirable for recreation if they are free of the thick weedy vegetation, often comprised of invasive species, that grows around the lake edge. This vegetation makes it difficult to launch boats and swim. In order to reduce this vegetation, a common technique in the Northeast and Midwest U.S. is a ‘winter drawdown’ . In a winter drawdown, the lake level is artificially lowered (via controls in a dam) during the winter to expose shoreline vegetation to freezing conditions, thereby killing them and preserving recreational value of the lake. However, this practice can impact both water...
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The Manzanita Band of the Kumeyaay Nation is one of many Tribal Nations in Southern California playing a leadership role in advancing climate adaptation strategies and actions. This project will bolster the Tribe’s climate adaptation and natural resource conservation strategies that identified fire as a missing element needed to advance these efforts. Culturing burning has been practiced for thousands of years to rejuvenate ecosystems and reduce the intensity of potential wildfires. Yet regulations imposed on reservation federal trust-lands create significant barriers for modern cultural burning practices. This project will build upon an existing large-scale, regional, intertribal effort aimed at bringing cultural...
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Drought and wildfire pose enormous threats to the integrity of natural resources that land managers are charged with protecting. Recent observations and modeling forecasts indicate that these stressors will likely produce catastrophic ecosystem transformations, or abrupt changes in the condition of plants, wildlife, and their habitats, in regions across the country in coming decades. In this project, researchers will bring together land managers who have experienced various degrees of ecosystem transformation (from not yet experiencing any changes to seeing large changes across the lands they manage) to share their perspectives on how to mitigate large-scale changes in land condition. The team will conduct surveys...
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The 2017 fire season in California was highly unusual with its late seasonal timing, the areal extent it burned, and its devastation to communities. These fires were associated with extreme winds and were potentially also influenced by unusually dry conditions during several years leading up to the 2017 events. This fire season brought additional attention and emphasized the vital need for managers in the western U.S. to have access to scientific information on when and where to expect dangerous fire events. Understanding the multiple factors that cause extreme wildfire events is critical to short and long-term forecasting and planning. Seasonal climate measures such as temperature and precipitation are commonly...
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Frequent, low-intensity wildfires were once widespread across the Southeast US, which led to a reduction in unchecked vegetation growth that provided fuel for high-intensity fires. Both intentional and unintentional fire suppression and land-use changes have reduced many of these wildfires and the fire-adapted habitats in the region over time. This loss of frequent low-intensity wildfires on the landscape also increases the severity of wildfires due to fuel buildup and the encroachment of woody species. The remaining habitats and their native species (many of which are of conservation concern) are now almost completely dependent on prescribed burns for their persistence and survival. Successful application of fire...
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Climate projections for the southern Great Plains, and elsewhere in the U.S., indicate that a hotter future with changes in precipitation amount and seasonality is to be expected. As plants become stressed from these changes, wildfire risk increases. One of the most valuable approaches to reducing the impacts of wildfires is fuel reduction through prescribed burns. Fuel reduction helps minimize the destruction of ecological communities, threats of future flooding, and extensive damages by lessening the intensity of future wildfires. Although safe burning practices can largely minimize the risks, prescribed burns may bring some degree of concern among practitioners. The real and perceived risks may include bodily...
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...
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Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...
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Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...
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Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...


map background search result map search result map USGS National Transportation Dataset (NTD) for Connecticut (published 20220614) Preventing Extreme Fire Events by Learning from History: The Effects of Wind, Temperature, and Drought Extremes on Fire Activity Rethinking Lake Management for Invasive Plants Under Future Climate: Sensitivity of Lake Ecosystems to Winter Water Level Drawdowns Learning From the Past and Planning for the Future: Experience-Driven Insight Into Managing for Ecosystem Transformations Induced by Drought and Wildfire Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment Bringing Fire Back to the Land: Honoring Tribal Pathways for Land Stewardship and Reciprocity MBMG-CE-20-ML-01 Future of Fire in the South Central: Towards a National Synthesis of Wildland Fire Under a Changing Climate Development of an Early Warning System to Identify Changing Prescribed Burn Opportunities Across Southeast US Fire-Adapted Habitats US Topo 7.5-minute map for Ashmore, TX US Topo 7.5-minute map for Denver City, TX US Topo 7.5-minute map for Lazy X Ranch, TX US Topo 7.5-minute map for North Cowden NW, TX US Topo 7.5-minute map for Punkin Center, TX US Topo 7.5-minute map for Sand, TX USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_650883_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_650889_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_631449_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_637955_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_637955_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_650889_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_650883_N USGS Lidar Point Cloud FL_HurricaneMichael_2020_D20 LID2019_631449_N US Topo 7.5-minute map for Ashmore, TX US Topo 7.5-minute map for Denver City, TX US Topo 7.5-minute map for Lazy X Ranch, TX US Topo 7.5-minute map for North Cowden NW, TX US Topo 7.5-minute map for Punkin Center, TX US Topo 7.5-minute map for Sand, TX Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment USGS National Transportation Dataset (NTD) for Connecticut (published 20220614) Preventing Extreme Fire Events by Learning from History: The Effects of Wind, Temperature, and Drought Extremes on Fire Activity Bringing Fire Back to the Land: Honoring Tribal Pathways for Land Stewardship and Reciprocity Learning From the Past and Planning for the Future: Experience-Driven Insight Into Managing for Ecosystem Transformations Induced by Drought and Wildfire Future of Fire in the South Central: Towards a National Synthesis of Wildland Fire Under a Changing Climate Rethinking Lake Management for Invasive Plants Under Future Climate: Sensitivity of Lake Ecosystems to Winter Water Level Drawdowns Development of an Early Warning System to Identify Changing Prescribed Burn Opportunities Across Southeast US Fire-Adapted Habitats