Skip to main content
Advanced Search

Filters: Tags: Landsat (X) > Categories: Data (X)

36 results (68ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The LCMAP Intensification Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products. The LCMAP Intensification Reference Data Product includes the collection of an independent dataset of 2,000 30-meter by 30-meter plots selected via stratified random sampling across the conterminous United States (CONUS). This dataset was collected via manual image interpretation to aid in validation of the land cover and land cover change products as well as area estimates. The LCMAP Intensification Reference Data Product collected variables related to primary and secondary land use, primary and secondary land cover(s),...
thumbnail
In large river ecosystems, the timing, extent, duration and frequency of floodplain inundation greatly affect the quality of fish and wildlife habitat and the supply of important ecosystem goods and services. Seasonal high flows provide connectivity from the river to the floodplain, and seasonal inundation of the floodplain governs ecosystem structure and function. River regulation and other forms of hydrologic alteration have altered the connectivity of many rivers with their adjacent floodplain – impacting the function of wetlands on the floodplain and in turn, impacting the mainstem river function. Conservation and management of remaining floodplain resources can be improved through a better understanding of...
thumbnail
To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
thumbnail
This data release is comprised of tidal marsh biomass data and spatial predictions of peak biomass and Julian day of peak biomass using data from the Landsat archive. Aboveground biomass dry weight of mixed-species plots (25x50 cm) at a tidal marsh in Willapa Bay, Washington were used to establish a relationship between biomass and tasseled cap greeness (TCG). The julian day of annual peak greenness and the value of annual peak greenness for 32 years at Bandon National Wildlife Refuge (NWR), Grays Harbor NWR, and Nisqually NWR was calculated by fitting a Gaussian function to the TCG values for a given year. The value of each 30 meter pixel is the Julian day of maximum predicted TCG or the maximum predicted TCG....
thumbnail
To improve understanding of the distribution of important, ephemeral wetland habitats across the Great Plains, we documented the occurrence and distribution of surface water in playa wetland complexes for four different years across the Great Plains Landscape Conservation Cooperative (GPLCC) region. Years of research on playas has yielded multiple mechanisms and projections for sub-regions of the LCC area, but a complete, region-wide inventory and assessment has not been completed. This information is important because it informs habitat and population managers about the timing and location of habitat availability. Data representing the presence of water, percent of the area inundated with water, and the spatial...
thumbnail
These data can be used in a geographic information system (GIS) for any number of purposes such as assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions. The user must have a firm understanding of how the datasets were compiled and the resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large,...
thumbnail
This dataset represents land cover for southeastern Wyoming including the portion of Laramie County from Interstate 25 west, all of Albany and Carbon Counties and part of Sweetwater county. The landcover map was developed from Landsat Enhanced Thematic Mapper (ETM+) data acquired in the summer of 2002 using a series of unsupervised classifications and guided labeling of classes based on field data. The map was created between 2002 and 2004 for the Wyoming Game and Fish Department as part of a larger spatial database designed to be used to help guide their land management activities, particularly in shrublands. The original resolution of this map is 30 meters, the full resolution of the Landsat multispectral data....
thumbnail
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...
thumbnail
This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,...
thumbnail
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 makes use of 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...
thumbnail
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...
thumbnail
Landscape carbon (C) flux estimates are necessary for assessing the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in remote sensing have allowed for coarse-scale estimates of gross primary productivity (GPP) (e.g., MODIS 17), yet efforts to assess spatial patterns in respiration lag behind those of GPP. Here, we demonstrate a method to predict growing season soil respiration at a regional scale in a forested ecosystem. We related field measurements (n=144) of growing season soil respiration across subalpine forests in the Southern Rocky Mountains ecoregion to a suite of biophysical predictors with a Random Forest model (30 m pixel size). We...
thumbnail
The dataset comprises a Landsat-derived assessment of monthly surface water extent within the study area (California's greater Central Valley). The surface water dataset is based on the algorithm for the Dynamic Surface Water Extent (DSWE) (Jones, 2019), which was adapted to the Google Earth Engine JavaScript environment. The level of spatial aggregation is by level-8 hydrologic unit code (HUC).
thumbnail
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 makes use of 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...
thumbnail
These data describe the area of different habitat covered in water as determined via three approaches: manual surveys, digitized aerial imagery, and categorization of the newly available dynamic surface water extent dataset derived from satellite imagery. These data support a scientific publication.
thumbnail
Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery. Data provided in this data release were collected during selected Earth observing satellite overpasses and tests during the months of May through November 2021. These data were collected at six field sites during 2021. These field sites included South Dakota State University (SDSU) Research Park in Brookings, SD, near the Brookings Airport in Brookings, SD, a private land holding in Sanborn County,...
thumbnail
The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
thumbnail
The dataset contains spectral indices values calculated from Landsat imagery, normalized difference vegetation index (NDVI) and delta normalized burn ratio (NBR, deltaNBR). The spectral indices were computed for 1472 forested sites in the Glacier National Park, Montana, over the 1984-2021 period, in areas that were burned or not burned during the Robert Fire of 2003.
thumbnail
The dataset comprises a Landsat-derived assessment of monthly surface water area within the study area (California's greater Central Valley). The surface water estimates are supplied by the European Commission's Joint Research Centre (JRC) Monthly Water History, v1.0. The level of spatial aggregation is by level-8 hydrologic unit code (HUC).
thumbnail
Data set includes a mosaic of multiple Landsat 8 OLI sensor path/row combinations for May 14, 17, and 19, 2014 covering the South Atlantic Landscape Conservation Cooperative (SALCC) geography between extreme northeastern North Carolina (including Back Bay, VA-NC) south through Sapelo I., GA. The imagery was acquired as georeferenced, calibrated digital data. Water and upland masking used NIR thresholds, CCAP land cover, and LiDAR DEMs. The image composite includes three normalized difference indces useful for marsh classification and monitoring, including: 1) Normalized Difference Vegetation Index (NDVI), 2) Normalized Difference Water Index (NDSI), and 3) Normalied Difference Soil Index (NDSI). The NDX bands were...


map background search result map search result map National Land Cover Data Set 1992 for Wyoming 30 meter Land Cover 30m for Southeast Wyoming 2010 Cropland Data Layer for the Great Plains Landscape Conservation Cooperative GCPO Inundation Frequency Mosaic (2017) Normalized Difference Index (NDX) Mosaic Composite for SALCC Salt Marshes Data for climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes Landsat classification of surface water for multiple seasons to monitor inundation of playa wetlands Data release for estimating soil respiration in a subalpine landscape using point, terrain, climate and greenness data Monthly summaries of pixel counts in Dynamic Surface Water Extent (DSWE) classes in level-8 HUCs in the greater Central Valley, California Monthly summaries of pixel counts in Joint Research Centre Monthly Water History v1.0 dataset in level-8 HUC in the greater Central Valley, California from 1984 to 2015 Data supporting Landsat time series assessment of invasive annual grasses following energy development Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Surface water estimates for a complex study site derived from traditional and emerging methods County-level maps of cropland surface water inundation measured from Landsat and MODIS ECCOE 2021 Surface Reflectance Validation Dataset The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) Satellite-derived spectral indices to characterize wildfire impacts on forested sites in Glacier National Park, Montana Surface water estimates for a complex study site derived from traditional and emerging methods Satellite-derived spectral indices to characterize wildfire impacts on forested sites in Glacier National Park, Montana Data for climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes Land Cover 30m for Southeast Wyoming Data supporting Landsat time series assessment of invasive annual grasses following energy development National Land Cover Data Set 1992 for Wyoming 30 meter Normalized Difference Index (NDX) Mosaic Composite for SALCC Salt Marshes Data release for estimating soil respiration in a subalpine landscape using point, terrain, climate and greenness data Monthly summaries of pixel counts in Dynamic Surface Water Extent (DSWE) classes in level-8 HUCs in the greater Central Valley, California Monthly summaries of pixel counts in Joint Research Centre Monthly Water History v1.0 dataset in level-8 HUC in the greater Central Valley, California from 1984 to 2015 County-level maps of cropland surface water inundation measured from Landsat and MODIS 2010 Cropland Data Layer for the Great Plains Landscape Conservation Cooperative Landsat classification of surface water for multiple seasons to monitor inundation of playa wetlands ECCOE 2021 Surface Reflectance Validation Dataset GCPO Inundation Frequency Mosaic (2017) Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024)