This data set provides median cover management factors (C-Factor) for agriculture, pasture, and barren land cover classes for each USDA Crop Management Zone. The C-Factors were calculated based on a Normalized Difference Vegetation Index. MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI values were obtained at 250 m resolution for 16-day intervals between 2000-2014 to calculate a mean annual NDVI. The data in this file correspond To Table 2 in the associated journal article. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).

This data set gives estimates of erosion and sediment yield avoided due to the presence of natural land cover. These estimates are given for each land cover class and summarized for the conterminous US. The data correspond to Fig 6 in the manuscript. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).

Subsurface Acidification risk mapping derived from land quality attribution associated with soil-landscape mapping at the subsystem/phase level. See Resource Management Technical Report 298, Section 2.14, Department of Agriculture, 2005. This version updates two previous versions (metadata dates 08/09/2003 and 29/04/2004).

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.

Soil subsurface alkalinity is a land quality which may impact upon a variety of agricultural land uses and is based on analysis and interpretation of the best available soil-landscape mapping dataset (DPIRD-027). See DAFWA Resource Management Technical Report 298 for a description of the qualities assessed and the methodology involved.

This data set gives estimates of erosion and sediment yield based on our study for the conterminous US by land cover class. The data correspond to Fig 4 in the manuscript. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).

These data represent the extent and spatial distribution of irrigated acreage delineated from maximum Normalized Difference Vegetation Index (NDVI) derived from Landsat scenes in the Walker River Basin, California and Nevada, at five-year intervals from 1975-2010. The field boundaries in this data set are digitized from one-year composite maximum NDVI data derived from atmospherically corrected Landsat 2 Multispectral Scanner (MSS), Landsat 5 MSS, and Landsat 5 Thematic Mapper (TM) scenes. NDVI was calculated from the corrected reflectance data for each selected scene during the growing season (May through early October) and a single, composite image of maximum NDVI values was derived for each five-year interval. Selecting the maximum NDVI value removed low values associated with plant phenology, harvest cycles, and irrigation operations. Initial field boundaries were digitized from the 2010 National Agriculture Imagery Program (NAIP) data and boundary geometries were divided and shaped based on temporal changes in irrigation practices, crop rotations, and other changes identified in the Landsat-derived maximum NDVI data. Each polygon is attributed with an estimated irrigation status of irrigated or non-irrigated. Mapped fields were classified as irrigated during a growing season if more than 45-percent of a field had a maximum NDVI value greater than or equal to 0.4.