Linking remote sensing with crop modeling for yield and nitrate leaching predictions in Minnesota.

ABSTRACT: Upscaling crop yield and nitrate-N leaching loss from experimental sites to large areas under alternative crop rotations is crucial for assessing strategies and setting goals to protect groundwater quality at a regional scale. Nitrogen (N) rate field trials were used to calibrate the Environmental Policy Integrated Climate (EPIC) model for continuous-corn (Zea mays L.) (C-C), corn-soybean (Glycine max L.) (C-Sb), and alfalfa (Medicago sativa L.)-corn (A-C), with or without rye (Secale cereale L.) cover crop. Satellite estimates of crop evapotranspiration (ET_c) were used to upscale the EPIC model for crop yield and nitrate-N leaching, using the irrigation-water permitting data from 2010 to 2017 for 13,375 ha of sandy soils in Bonanza Valley, central Minnesota. Four alternative ma

SUBMITTER: Tahir M 

PROVIDER: S-EPMC12789989 | biostudies-literature | 2026 Jan-Feb

REPOSITORIES: biostudies-literature