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This dataset is the first (circa 1975) 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Benin,
Burkina Faso,
Cape Verde,
Capo Verde,
Chad,
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,
This dataset provides an additional "Grazing Potential" land use class to the previously published U.S. Geological Survey (USGS) National Water-Quality Program (NAWQA) Wall-to-Wall Anthropogenic Land-use Trends (NWALT) product (Falcone, 2015, USGS Data Series 948). As with the NWALT, the dataset consists of five national 60-m land use grids, for the years 1974, 1982, 1992, 2002, 2012. The only change to the dataset is, for every year, some pixels which are class 50 "Low-use" in the NWALT, are reclassified to a new class 46 "Grazing Potential Expanded". The purpose of the re-classification is to identify areas which are likely to have had at least some grazing activity based on agreement of historical land cover/use...
These data describe land use (summed hectares of agricultural crops: corn, soy, and small grains), individual honey bee nutrition, honey bee colony population size, and proportional honey bee colony survival among 36 apiaries across Minnesota, North Dakota, and South Dakota.
Here we compare pollen identification results derived from light microscopy and DNA sequencing techniques of a robust number of samples collected from honey bee colonies embedded within intensive agricultural landscapes in the Northern Great Plains. We collected pollen samples from colonies within 6 apiaries in 2010 and 2011. For each pollen sample, we identified pollen grains via light microscopy and provide the number of grain counts-per-million. A separate aliquot of each pollen sample subjected to light microscope identification was also used for DNA sequencing analysis. We provide the plant operational taxonomic unit (OTU) for all base pair reads as the number of reads-per-million.
The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic...
In the late 1880's and early 1900's the Mississippi River Commission (MRC) conducted an extensive high-resolution survey of the Mississippi River from Cairo, Illinois to Minneapolis, Minnesota. These data were published as a series of 89 survey maps and index. In the 1990's, the Upper Midwest Environmental Sciences Center (UMESC) in conjunction with the US Army Corps of Engineers Upper Mississippi River Restoration- Environmental Management Program -- Long Term Resource Monitoring Program element (LTRMP) for the Upper Mississippi River automated the maps' land cover/use symbology to create a turn of the century/pre-impoundment land cover/use data set. Other data on the maps that were not automated include; elevation...
In the late 1880's and early 1900's the Mississippi River Commission (MRC) conducted an extensive high-resolution survey of the Mississippi River from Cairo, Illinois to Minneapolis, Minnesota. These data were published as a series of 89 survey maps and index. In the 1990's, the Upper Midwest Environmental Sciences Center (UMESC) in conjunction with the US Army Corps of Engineers Upper Mississippi River Restoration- Environmental Management Program -- Long Term Resource Monitoring Program element (LTRMP) for the Upper Mississippi River automated the maps' land cover/use symbology to create a turn of the century/pre-impoundment land cover/use data set. Other data on the maps that were not automated include; elevation...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Forest,
Illinois,
Land Cover,
Land Use,
Marsh,
In the late 1880's and early 1900's the Mississippi River Commission (MRC) conducted an extensive high-resolution survey of the Mississippi River from Cairo, Illinois to Minneapolis, Minnesota. These data were published as a series of 89 survey maps and index. In the 1990's, the Upper Midwest Environmental Sciences Center (UMESC) in conjunction with the US Army Corps of Engineers Upper Mississippi River Restoration- Environmental Management Program -- Long Term Resource Monitoring Program element (LTRMP) for the Upper Mississippi River automated the maps' land cover/use symbology to create a turn of the century/pre-impoundment land cover/use data set. Other data on the maps that were not automated include; elevation...
In the late 1880's and early 1900's the Mississippi River Commission (MRC) conducted an extensive high-resolution survey of the Mississippi River from Cairo, Illinois to Minneapolis, Minnesota. These data were published as a series of 89 survey maps and index. In the 1990's, the Upper Midwest Environmental Sciences Center (UMESC) in conjunction with the US Army Corps of Engineers Upper Mississippi River Restoration- Environmental Management Program -- Long Term Resource Monitoring Program element (LTRMP) for the Upper Mississippi River automated the maps' land cover/use symbology to create a turn of the century/pre-impoundment land cover/use data set. Other data on the maps that were not automated include; elevation...
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Calhoun County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
Categories: Data;
Tags: Calhoun County,
Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
This data set consists of a detailed digital map of the extent of fields and a summary of the irrigated acreage for the period between January and December 2019 compiled for Hendry and Palm Beach Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Crop type,
Florida Department of Agriculture and Consumer Service,
Groundwater,
Irrigation type,
Land use,
A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Citrus County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
Categories: Data;
Tags: Citrus County,
Crop type,
Florida,
Florida Department of Agriculture and Consumer Service,
Groundwater,
The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Land Use,
Nebraska,
imageryBaseMapsEarthCover
The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Land Use,
Nebraska,
imageryBaseMapsEarthCover
This digital dataset contains information about the farm process parameter values are used as input to the updated Central Valley Hydrologic Model (CVHM2), which consists of 24 land use types and the corresponding monthly crop coefficient for each land use type. Land use types, initial rooting depths, and initial crop coefficients were modified from Faunt and Others (2009).
The study seeks to provide a retrospective analysis of the relationships among bird abundance and distribution and changes in land cover and climate in the upper Midwest and Great Lakes region. The resultant models will be used to provide spatially explicit forecasts of future avian responses. Using data from the North American Breeding Bird Survey (BBS) and a hierarchical modeling framework that accounts for imperfect detection during surveys, species distribution and abundance is estimated. Historic aerial photos are being digitized and classified to measure landscape covariates. Once species-specific relationships between distribution parameters (i.e., occupancy, colonization, extinction) and landscape covariates...
Categories: Data,
Project;
Tags: 2011,
Conservation Design,
Conservation NGOs,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
This dataset is the first (circa 2000) of two 500-meter land use land cover (LULC) time-periods datasets (2000, and 2013) aids in monitoring change in West Africa’s land resources. 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 the photo-interpretation using Esri’s ArcGIS Desktop...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Cape Verde,
Capo Verde,
biota,
land cover,
land use,
This dataset contains water surface elevations for the wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Climatic change,
Cottonwood Lake Study Area,
Ecology,
Effects of climate change,
Floods,
This dataset contains the specific conductance values of water for all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Climatic change,
Cottonwood Lake Study Area,
Ecology,
Effects of climate change,
Geochemistry,
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