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The sagebrush rangelands of the Great Basin provide crucial habitat for a diversity of wildlife, including the pronghorn and the greater sage-grouse. These water-limited, highly-managed ecosystems have already been degraded by wildfires, the expansion of invasive grasses, and livestock grazing, and are expected to experience additional stress as climate and land use conditions change. Effective management of sagebrush ecosystems in the future will require the ability to understand and predict these future changes. To address this need, researchers will identify historical rates and causes of vegetation change in shrubland ecosystems, then use this information to develop potential future climate and land use scenarios...
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene-level products. Prior to generating annual composites, individual scenes that had > 0.010 burned proportion...
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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of post-fire, dual season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field-measured patterns of re-vegetation, and (3) identify seasonally-specific drivers of post-fire rates of NDVI recovery. Rates of post-fire...
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Landsat Extended Acquisitions of the Poles (LEAP) imaging plan is a Landsat special request data collection program for Earth's polar regions that include Antarctica, Greenland, and Arctic sea ice geographies. The LEAP program includes Landsat 8 and Landsat 9 observatories that operationally acquire spaceborne images of all Earth's land surface and near-shore coastal environments. These images are acquired on a Worldwide Reference System-2, also called WRS-2. The WRS-2 is made up of paths and rows that define Landsat's imaged geography, and once acquired, are processed and discoverable in the U.S. Geological Survey's Landsat global data archive. The LEAP path-rows listed in the attached zipped data file represent...