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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Publications at this Location » Publication #310983

Research Project: Spatial Modeling of Agricultural Watersheds: Water and Nutrient Management and Targeted Conservation Effects at Field to Watershed Scales

Location: Water Management and Systems Research

Title: Development of the Land-use and Agricultural Management Practice web-Service (LAMPS) for generating crop rotations in space and time

Author
item Kipka, H - Colorad0 State University
item Green, Timothy
item David, O - Colorad0 State University
item Garcia, L - University Of Vermont
item Ascough Ii, James
item Arabi, M - Colorad0 State University

Submitted to: Soil & Tillage Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 8/7/2015
Publication Date: 9/8/2015
Citation: Kipka, H., Green, T.R., David, O., Garcia, L., Ascough II, J.C., Arabi, M. 2015. Development of the Land-use and Agricultural Management Practice web-Service (LAMPS) for generating crop rotations in space and time. Soil & Tillage Research. 155:233–249. doi:10.1016/j.still.2015.08.005.

Interpretive Summary: The Land-use and Agricultural Management Practices web-Service (LAMPS) provides crop rotation and management information for user-specified areas within the 48 contiguous states of the USA. LAMPS links the following data sources: 1) annual crop data layers from the CropScape web service provided by the National Agricultural Statistical Service, 2) maps of irrigated areas compiled by the U.S. Geological Survey, and 3) agricultural management practices in the Land Management and Operation Database (LMOD) by the USDA Natural Resources Conservation Service. The methods within LAMPS for generating crop rotation and management information are described in detail, including an algorithm for matching annual crop sequences from CropScape to regional crop rotations in LMOD. Instructions for using the web service are specified with example input and response listings. A study area of 15 fields in Colorado, USA is presented to demonstrate and evaluate LAMPS outputs using ground observations of crop types. LAMPS is available for public use, further nation-wide evaluation, and extension to other spatial data provisioning related to agroecosytem modeling.

Technical Abstract: Agroecosystem models and conservation planning tools require spatially and temporally explicit input data about agricultural management operations. The Land-use and Agricultural Management Practices web-Service (LAMPS) provides crop rotation and management information for user-specified areas within the 48 contiguous states of the USA. The LAMPS workflow links the following data sources: 1) annual crop data layers from the CropScape web service based on high-resolution remote sensing data for recent years provided by the National Agricultural Statistical Service, 2) maps of irrigated areas compiled by the U.S. Geological Survey, and 3) the Land Management and Operation Database (LMOD) by the USDA Natural Resources Conservation Service containing agricultural management practices. The workflow within LAMPS for generating crop rotation and management information is described in detail, including an algorithm for matching annual crop sequences from CropScape to regional rotations in LMOD. Instructions for using the web service are specified with example input and response listings. A study area of 15 fields in Colorado, USA is presented to demonstrate and evaluate LAMPS outputs using ground observations of crop types. LAMPS automatically detected actual crop rotations with a 6% higher average similarity to the ground observations than using only CropScape detected dominant crop sequences. LAMPS is available for public use, further nation-wide evaluation, and extension to other spatial data provisioning related to agroecosytem modeling.