Physical Sciences and Mathematics Commons^™

Detecting Spatiotemporal Changes Of Corn Developmental Stages In The U.S. Corn Belt Using Modis Wdrvi Data, Toshihiro Sakamoto, Brian D. Wardlow, Anatoly A. Gitelson

School of Natural Resources: Faculty Publications

The dates of crop developmental stages are important variables for many applications including assessment of the impact of abnormal weather on crop yield. Time-series 250-m vegetation-index (VI) data acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) provide valuable information for monitoring the spatiotemporal changes of corn growth across large geographic areas. The goal of this study is to evaluate the performance of a new crop phenology detection method, namely, two-step filtering (TSF), for revealing the spatiotemporal pattern of specific corn developmental stages (early vegetative: V2.5; silking: R1; dent: R5; mature: R6) over an eight-year period (2001–2008) across Iowa, Illinois, and …