Filters: Tags: SOILS (X)
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Categories: Publication;
Types: Citation;
Tags: Albedo,
Alkali flat region,
Anisotropy,
CS 732.1 Control Equipment; CS 483.1 Soils and Soil Mechanic,
Calibration,
This dataset represents soil suitability for timber harvest, based on surveys. The attributes of this dataset describe the different levels of soil suitability for each area, on the basis of slope stability, droughtiness, and forest regeneration potential.
Tags: soils,
suitability
This dataset represents soils of Wyoming at 1:100,000- scale. The layer contains 350 separate soils descriptions across 23 Wyoming counties. The layer was compiled based on the five-factor soil forming model using digital surficial geology, bedrock geology, and elevation. This dataset will be more fully documented in 23 AES publications scheduled for completion in winter of 99/00. These publications will use the designation AES Bulletin B-1071 followed by a two letter abreviation for each county.
Categories: Data;
Types: Downloadable;
Tags: Wyoming,
aquifer sensitivity,
biota,
farming,
geoscientificInformation,
soil depth data from new soil data set for the eastern Oregon study area of the WWETAC VDDT project, from Jeff Kern and Michelle Buonopane in August, 2010
Tags: soils,
terrestrial
This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve upland...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fredericktown,
Little Saint Francis River,
Madison County,
Madison County Mines Superfund Site,
Missouri,
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ACTIVE LAYER,
Academics & scientific researchers,
CRYOSPHERE,
Data Acquisition and Development,
Data Management and Integration,
This dataset was created from the combination of SSURGO data. Component-level data from SSURGO were derived from the dominant component in each mapping unit (the unit that had the highest representative percent of the mapping unit). Numeric horizon-level data from SSURGO were derived from an average average across all horizons within a component, and an area-weighted average between components. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely...
This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster and predicted through digital soil mapping tehcniques by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized...
This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting...
This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
Categories: Publication;
Types: Citation;
Tags: Burning (Prescribed),
Colville National Forest,
Cost Assessments,
Creeks,
E2 30 Parks, Refuges and Forests,
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