For more information on crop classification research at UMN, please contact Marvin Bauer.
For more information on crop classification research at UW-Madison, please contact Tom Lillesand.
Project Overview
Center researchers are developing crop classification routines for remote sensing data to help develop a quantitative baseline description of the region's agriculture. The application of remote sensing technology for monitoring agricultural crop production has importance for many economic sectors and related human activities. Crop inventories are used by agribusiness and federal, state and local agriculture agencies for tracking agricultural production. Change in agricultural land is an important measure for urban and rural land use planning. Changes in both the location and the structure of agriculture in the Upper Great Lakes region will have profound effects on the regional environment and national supplies of food and fiber.
Landsat TM classification of potato fields in Central Wisconsin, 1999.
