Filters: Tags: USGS Science Data Catalog (SDC) (X) > partyWithName: Earth Resources Observation and Science (EROS) Center (X)
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FGDC Metadata templates for 5 product areas during 2019 have been created to programmatically generate metadata for the products that are produced daily or weekly on the FireDanger production system. Fire Danger products are broken into 5 product areas (Fire Potential Index, Large Fire Probability, Predictive Service Area (provisional), Relative Greenness (weekly), and NDVI Greenness (weekly)). Metadata files are provided for each raster in the 2019 product areas. A folder is also available containing the 5 metadata templates that were used to generate content for each product area. For more details on the FireDanger production system see https://www.usgs.gov/land-resources/lcsp/fire-danger-forecast.
This dataset is the third (2013) in a series of three 2-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Benin,
Burkina Faso,
Cape Verde,
Capo Verde,
Chad,
To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Southern California Coast and Channel Islands. The Channel Islands are a chain of eight islands where years of isolation has created unique fauna, flora, and archeological resources. The archipelago extends for 160 miles (257 km) between San Miguel Island in the north and San Clemente Island in the south. Five of the islands are part of Channel Islands National Park (Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara), and the waters surrounding these islands make up the Channel Islands National...
Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Land Use Change,
NDVI,
USGS Science Data Catalog (SDC),
United States,
biomass,
Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
United States,
conus,
crop cover mapping,
modelling,
Evaluation of historical water use in the Upper Rio Grande Basin (URGB) using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as a first of its kind study applying satellite observations for quantifying long term, basin-wide crop consumptive use at a large basin. The rich archive of Landsat imagery combined with the Operational Simplified Surface Energy Balance (SSEBop) model was used to estimate and map ETa across the basin and over irrigated fields for historical characterization of water use dynamics. Monthly ETa estimates were evaluated using six eddy covariance (EC) flux towers showing strong correspondence (R2 > 0.80), with reasonable error rates (root mean square error...
Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e., it serves as a potential carbon sink). In this study, we integrated marginal croplands, highly erodible cropland buffers, and future crop expansion information to develop a switchgrass biofuel potential ensemble map for current and future croplands in eastern Nebraska.
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
Categories: Data Release - Revised;
Tags: Arizona,
California,
Colorado,
Great Basin,
Harmonized Landsat Sentinel,
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational fashion from satellite time-series data. The USGS made the decision to develop 2022 CONUS phenology metrics using S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) because of the decommissioning of Aqua C6 MODIS sensor in the near future. The readily available and consistently processed smoothed EROS VIIRS (eVIIRS) maximum Normalized...
Airborne light detection and ranging (lidar) can provide high-quality topographic information over large areas. Lidar is an active remote sensing technology that employs laser ranging in near-infrared and green spectral wavelengths to provide three-dimensional (3D) point information for objects, including Earth’s surface, vegetation, and infrastructure. The U.S. Geological Survey (USGS) National Geospatial Program (NGP) 3D Elevation Program (3DEP) seeks to systematically acquire airborne topographic lidar for the conterminous U.S. (conus), Hawaii, and the U.S. territories. A series of field accuracy assessment surveys, using conventional surveying methods (i.e. total station and Global Navigation Satellite System...
Three ET datasets were generated to evaluate the potential integration of Landsat and Sentinel-2 data for improved ET mapping. The first ET dataset was generated by linear interpolation (Lint) of Landsat-based ET fraction (ETf) images of before and after the selected image dates. The second ET dataset was generated using the regular SSEBop approach using the Landsat image only (Lonly). The third ET dataset was generated from the proposed Landsat-Sentinel data fusion (L-S) approach by applying ETf images from Landsat and Sentinel. The scripts (two) used to generate these three ET datasets are included – one script for processing SSEBop model to generate ET maps from Lonly and another script for generating ET maps...
Information on the spatio-temporal distribution of rainfall is critical for addressing water-related disasters, especially in the Middle East and North Africa's (MENA) arid to semi-arid regions. However, the availability of reliable rainfall datasets for most river basins is limited. In this study, we utilized observations from satellite-based rainfall data, in situ rain gauge observations, and rainfall climatology to determine the most suitable precipitation dataset in the MENA region. First, we evaluated seven different rainfall products (CPC, GPCC, TRMM, PERSIANN, RFE, CHIRPS, MSWEP) using rain gauge observations obtained from Jordan (139 stations), Palestine (9 stations), and Lebanon (16 stations). The validation...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Jordan,
Lebanon,
MENA,
USGS Science Data Catalog (SDC),
bias estimation,
High interannual variability of forage production in semi-arid grasslands leads to uncertainties when livestock producers make decisions such as buying additional feed, relocating animals, or using flexible stocking. Within-season predictions of annual forage production (i.e., yearly production) can provide specific boundaries for producers to make these decisions with more information and possibly with higher confidence. We use a recently developed forage production model, ForageAhead, that uses environmental and seasonal climate variables to estimate the annual forage production approximated by remotely sensed vegetation data. The model uses observed seasonal climate data from winter and spring as an input together...
Area estimates of land cover and land cover change are often based on reference class labels determined by analysts interpreting satellite imagery and aerial photography. Different interpreters may assign different reference class labels to the same sample unit. This dataset include land cover attributes for the year 2000 assigned by 7 image analysts, working independently of each other, to a set of 300 sample locations from a region of the Pacific Northwest of the United States. This data was used in an evaluation of the impact of interpreter variability on variance estimation.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Earth Resources Observation and Science (EROS) Center,
LCMAP,
Land Use Change,
Land Use/ Land Cover,
Landcover,
A validation assessment of Land Cover Monitoring, Assessment, and Projection annual land cover products (2000–2019) for Hawaii was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (2000–2019) to a reference sample of 600 Landsat resolution (30m x 30m) pixels. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Snow/Ice and Barren. Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by cross tabulation. The results of that assessment are reported...
This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through June 19, 2017. This is the second iteration of an early estimate of herbaceous annual cover for 2017 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/F7445JZ9). The pixel values for this most recent estimate ranged from 0 to100% with...
The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 7.1 and a standard deviation of +/-10.5. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied...
A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Prairie Potholes region of Great Plains. The scenarios are consistent with the same scenarios modeled for the Great Plains Landscape Conservation Cooperative region. The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering approximately 350,000 square kilometers), 4) use of real land ownership boundaries to ensure realistic representation of landscape patterns, and 5) representation of both anthropogenic land use and natural vegetation change. A variety of scenarios were...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate Research and Development,
FORE-SCE,
Great Plains,
Great Plains,
Iowa,
The Moderate Resolution Imaging Spectroradiometer, or MODIS, sensor resides aboard the Terra and Aqua platforms, offering a view the Earth's surface every 1-2 days. The MODIS sensor collects data within 36 spectral bands, ranging in wavelengths from 0.4 µm to 14.4 µm and provides us with imagery at a nominal resolution of 250 m at nadir for two bands, 500 m resolution for 5 bands, and the remaining 29 bands at 1 km. Many data products are derived from MODIS/Aqua including surface reflectance, emissivity, land surface temperature, vegetation indices, thermal anomalies and fire, leaf area index, and evapotranspiration. Aqua carries six state-of-the-art instruments in a near-polar low-Earth orbit. The six instruments...
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