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A soil-water balance model (SWB) was developed to estimate potential recharge and irrigation water demand from the groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina for the period 1895 through 2010. This SWB model executable code detailed in the report SWB—A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge; Chapter 31 of Section A, Groundwater, of Book 6, Modeling Techniques By S.M. Westenbroek, V.A. Kelson,W.R. Dripps,R.J. Hunt, and K.R. Bradbury (https://pubs.usgs.gov/tm/tm6-a31/) The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including irrigation...
This map service is an information surface which displays what percentage of the soil map unit is subject to water being ponded on the soil surface. Each soil map unit polygon falls into one of the following classes according to NRCS: 0-14%, 15-49%, 50-74% or 75-100%. Esri is providing NRCS SSURGO content here without modification except for some cartography and publishing necessary to facilitate esri user access to these data. Of course, esri will continue to update this inform This map service is an information surface which displays what percentage of the soil map unit is subject to water being ponded on the soil surface. Each soil map unit polygon falls into one of the following classes according to...
Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014, 2016). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience...
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This is the SSURGO soils data from the USDA, NRCS, clipped to the boundary of Bear Valley NWR. Some of the attributes are included in this dataset, but not the entire database which is available from the NRCS. For full metadata, see this site: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/tx/home/?cid=nrcs142p2_053631
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This map service is an information surface which displays the irrigated land capability class of each soil map unit based upon the dominant component in the soil map unit. Every soil component in the United States may be classified under one of the following land capability class categories: 1. Soils have slight limitations that restrict their use. 2. Soils have moderate limitations that reduce the choice of plants or require moderate conservation practices. 3. Soils have severe limitations that reduce the choice of plants or require special conservation practices, or both. 4. Soils have very severe limitations that restrict the choice of plants or require very careful management, or both. 5. Soils have little...
Available Water Storage (AWS). The volume of water that the soil, to a depth of 100 cm, can store that is available to plants. It is reported as the weighted average of all components in the map unit, and is expressed in cm of water. This map is made from NRCS SSURGO data table MUAGGATT, field AWS0100WTA. Note that the lines show connectivity a Available Water Storage (AWS). The volume of water that the soil, to a depth of 100 cm, can store that is available to plants. It is reported as the weighted average of all components in the map unit, and is expressed in cm of water. This map is made from NRCS SSURGO data table MUAGGATT, field AWS0100WTA. Note that the lines show connectivity and flow even through...
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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 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 area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features...
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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 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 area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset consists of four national 1-kilometer (km) resolution rasters of the estimated percent presence of the soil restrictive layer (SRL) in the upper 25, 35, 45, and 55 centimeters of agricultural land. These rasters were developed from selected criteria of soil parameters from the Soil Survey Geographical (SSURGO) database and mapped agricultural land from the National Land Cover Database 2001 (NLCD 2001), version 2.
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Soils data compiled from USDA, Natural Resources Conservation Service, SSURGO data, then clipped to the refuge boundary. Some of the attributes have been added to the dataset, but not the complete set. For additional attributes, consult the full SSURGO data. More information can be found here: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053631
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This map service is an information surface representing the shallowest distance to the top of a wet soil layer (the water table) within a soil map unit polygon. The value is the annual minimum as well as the component minimum, so the reported value is the nearest the water table gets to the surface of any significant component in the map unit at any time during the year. Although there is data for the whole United States for water table depths, not every map unit polygon has a value. Some parts of the United States have more complete coverage of water table depth than others, but values for water table depth depth are still rather piecemeal in character. Quite often, in many places, more than half of the soil...
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A soil-water balance model (SWB) was developed to estimate potential recharge to the groundwater system in Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 to support a regional groundwater flow model being produced for the surficial, Castle Hayne, and Peedee Aquifer System. The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including evapotranspiration rates reported by NASA's MODIS (Moderate Resolution Imaging Spectroradiometer) satellite platform. This USGS data release contains all the input and output files for the simulations described in this data release.
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Values represent percent of surrounding landscape (5K) are dominated by sagebrush cover. Reclassified LANDFIRE 2013 Existing Vegetation Type by selecting the ecological systems containing sagebrush (Codes: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) to create a binary raster dataset with 1 for the sagebrush land cover types and zero for all others.To incorporate sagebrush lost to fire in fires since the Landsat was flown in 2010 that Landfire was derived from, I used fire perimeters from 2011,2012, & 2013 to reclassify pixels designated as having sagebrush as 0 (not having sagebrush), which assumes a homogenous burn (in reality there may be patches of sagebrush left within a burn perimeter). I then ran focalsum...
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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 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 area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features...
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Mississippi River Basin Gridded SSURGO Hydric Classification – Presence "hydclprs". An indication of the proportion of the map unit that is hydric, based on the hydric classification of individual map unit components.
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This map service is an information surface representing the amount of available water storage (AWS) that is available to plants in the top 100cm (3.28 Feet) of soil. Available Water Storage (AWS) is expressed as centimeters of water, reported as the average of all components in the map unit. AWS is calculated from AWC (Available Water Capacity) which is commonly estimated as the difference between the water contents at 1/10 or 1/3 bar (field capacity) and 15 bars (permanent wilting point) tension, and adjusted for salinity and fragments. Available Water Storage (AWS) surfaces are available through arcgis.com for four soil depths, 25, 50, 100, and 150 centimeters from the surface of the soil. They are available...
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This map service is an information surface representing the shallowest distance to the top of a bedrock layer within a soil map unit polygon. To calculate this value, any component or combination of components in a soil map unit polygon that are greater than or equal to 15% of the whole soil map unit are considered significant. And of these significant components, the shallowest distance to bedrock is reported by this service. This means the average distance to bedrock of the entire soil map unit should be deeper than is reported here, but the shallowest distance is the more important information surface since this value limits capabilities and activities on the surface. Although there is data for the whole...
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Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience and...
map background search result map search result map Annual Minimum Soil Depth To Water Table Soil Capability Class When Irrigated Available Water Storage In Soil To 100cm Depth - Weighted Average Minimum Depth Through Soil To Bedrock Available Water Storage 0-100 cm - Weighted Average Presence of Soil Ponding Dataset: Sagebrush MW5k Percent Combined SSURGO and STATSGO2 Soil Moisture and Temperature Regime Data Gridded SSURGO - Hydric Classification Gridded SSURGO - Available Water Storage (0-20 cm) Gridded SSURGO - Farmland Class (Prime/Important) Soils (SSURGO), Bear Valley NWR SSURGO soils, San Joaquin River NWR BLM REA COP 2010 SSURGO Soil Data BLM REA SOD 2010 SSURGO Soil Data BLM REA MAR 2012 R3 Soils Estimates of the Soil Restrictive Layer in the Upper 25,35,45, and 55 centimeters of agricultural land in the conterminous United States Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1895-2010 Soil-Water Balance model and datasets used to estimate potential groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 Soils (SSURGO), Bear Valley NWR SSURGO soils, San Joaquin River NWR Soil-Water Balance model and datasets used to estimate potential groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 BLM REA MAR 2012 R3 Soils BLM REA SOD 2010 SSURGO Soil Data BLM REA COP 2010 SSURGO Soil Data Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1895-2010 Combined SSURGO and STATSGO2 Soil Moisture and Temperature Regime Data Dataset: Sagebrush MW5k Percent Gridded SSURGO - Hydric Classification Gridded SSURGO - Available Water Storage (0-20 cm) Gridded SSURGO - Farmland Class (Prime/Important) Estimates of the Soil Restrictive Layer in the Upper 25,35,45, and 55 centimeters of agricultural land in the conterminous United States Annual Minimum Soil Depth To Water Table Soil Capability Class When Irrigated Available Water Storage In Soil To 100cm Depth - Weighted Average Minimum Depth Through Soil To Bedrock Presence of Soil Ponding Available Water Storage 0-100 cm - Weighted Average