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The surface disturbance footprint raster data set quantifies the percent surface disturbance from development at a 90-meter resolution. The surface disturbance footprint is used to compute a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach. The surface disturbance footprint is mapped for the western United States (17 states), by compiling and combining spatial data for four development disturbance variable classes. Development classes include urban land cover (impervious surface), agriculture (cropland), energy and mineral extraction and transport (oil and gas wells, solar arrays, wind turbines, surface mines, pipelines, and transmission lines), and transportation...
Unpiloted aerial system (UAS) flight campaigns were conducted at two rangeland sites in Southwestern Montana during the 2018 growing season to classify vegetation and landcover types. A total of nine flights were conducted at the Argenta site and seven at the Virginia City site. To align images in space and time, we used four-dimensional structure from motion (4D SfM) and continued with processing for each flight date based on the full suite of images aligned for the entire growing season. We created dense point clouds, digital terrain models (bare earth), digital elevation models (including vegetation), and orthorectified images for each flight date at each site. We used the orthoimages to calculate the Normalized...
The Terrestrial Development Index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 2.5 kilometer (km) radius circular moving window. The TDI scores range from 0-100%. The TDI scores between 0-1% represent areas with few roads or a very low density of oil and gas wells. The TDI scores between 1-3% often include low densities of oil and gas wells and roads, whereas development index scores above 3% represent moderate to high levels of development, including relatively large oil and gas fields, surface mines, agricultural fields, centers of urban development,...
Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To create the index, we first mapped the surface disturbance footprint of development, for the western U.S., by compiling and combining spatial data for urban development, agriculture, energy and minerals, and transportation...
Many aspects of recurring plant developmental events – vegetation phenology – are measured by remote sensing. By consistently measuring the timing and magnitude of the growing season, it is possible to study the complex relationships among drivers of the seasonal cycle of vegetation, including legacy conditions. We studied the role of current and legacy climate, and contextual factors on the land surface phenology of the U.S. Northern Great Plains. Specifically, we used annual and seasonal climate variables (e.g., temperature, precipitation, growing degree days, and vapor pressure deficit) covering the current year and the past four years derived from the PRISM climate dataset. We also included soils, disturbance,...
The terrestrial development index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 20-kilometer radius circular moving window. The Surface Disturbance Footprint from Development for the Western United States is used in the moving window analysis. The TDI scores range from 0-100%.
Grasslands in the Great Plains are of ecological, economic, and cultural importance in the United States. In response to a need to understand how climate change and variability will impact grassland ecosystems and their management in the 21st century, the U.S. Geological Survey North Central Climate Adaptation Science Center led a synthesis of peer-reviewed climate and ecology literature relevant to grassland management in the North Central Region (including Montana, Wyoming, Colorado, North Dakota, South Dakota, Nebraska, and Kansas). This synthesis was done to begin to address grassland managers’ information needs and identify research gaps. This open-file report summarizes the impacts of climate change and variability...
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Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence and based on available spatial data. We developed a multiscale index of landscape intactness for use as a broad-scale indicator of resource condition for the Bureau of Land Management’s (BLM) Landscape Approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To calculate landscape intactness we combined the terrestrial development index (TDI) summarized at two scales (using a 2.5- and a...
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Tags: Arizona,
California,
Colorado,
Development,
Idaho,
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