Filters: Tags: MODIS (X) > partyWithName: U.S. Geological Survey (X)
7 results (37ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
This dataset provides an estimate of 2015 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data with independent variables that influence cheatgrass germination and growth into a regression-tree model. Individual pixel values range from 0 to 100 with an overall mean value of 9.85 and a standard deviation of 12.78. A mask covers areas not classified as shrub/scrub or grass/herbaceous by the 2001 National Land Cover Database. The mask also covers areas higher than 2000 meters in elevation because cheatgrass is unlikely to exist at more than 2% cover above this threshold. Cheatgrass is an invasive grass that has invaded...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Bromus tectorum,
Cheatgrass,
MODIS,
NDVI,
Northwest CASC,
These data are a compilation of four mask layers (regions), and enhanced vegetation indices calculated from airborne or satellite imagery. The mask layers were used created to extract satellite EVI data from the four airborne or satellite imagery datasets. The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. These data were created to compare Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared...
This data set replaces the 2010 edition (Edition 1.0) of the 2005 Land Cover of North America. Following the release of the first 2005 land cover data, several errors were identified in the data, including both errors in labeling and misinterpretation of thematic classes. To correct the labeling errors, each country focused on its national territory and corrected the errors which it considered most critical or misleading. For the continental data sets (including surrounding water fringe) 17440830 pixels (4.33% of the area) changed in the update. The following national counts exclude the water fringe: Canada, 10223412 pixels changed (6.44%); Mexico, 141142 pixels changed (0.45%), and U.S., 6878656 pixels changed...
This data set shows areas where the land cover classification changed between 2005and 2010. The 2005-2010 Land Cover Change of North America at 250 meters wasproduced as part of the North American Land Change Monitoring System (NALCMS), atrilateral effort between the Canada Centre for Remote Sensing, the United StatesGeological Survey, and three Mexican organizations including the National Instituteof Statistics and Geography (Instituto Nacional de Estadistica y Geografia),National Commission for the Knowledge and Use of the Biodiversity (ComisiónNacional Para el Conocimiento y Uso de la Biodiversidad), and the National ForestryCommission of Mexico (Comisión Nacional Forestal). The collaboration isfacilitated by...
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: AWiFS,
Colorado,
Cropscape,
GPLCC,
Great Plains Landscape Conservation Cooperative,
Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model....
Categories: Data;
Tags: Biomass imputation,
Changbai Mountains,
Greater Khingan Mountains,
Heilongjiang,
Hulun Buir Plateau,
The 2010 North American Land Cover data set was produced as part of the NorthAmerican Land Change Monitoring System (NALCMS), a trilateral effort between theCanada Centre for Remote Sensing, the United States Geological Survey, and threeMexican organizations including the National Institute of Statistics and Geography(Instituto Nacional de Estadistica y Geografia), National Commission for theKnowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento yUso de la Biodiversidad), and the National Forestry Commission of Mexico (ComisiónNacional Forestal). The collaboration is facilitated by the Commission forEnvironmental Cooperation, an international organization created by the Canada,Mexico, and...
|
|
