Yoo, Cheolhee Kang, Daehyun Park, Seonyoung 2024-01-19T11:31:49Z 2024-01-19T11:31:49Z 2022-08-25 2022-08 2072-4292 https://pubs.kist.re.kr/handle/201004/114808 This study investigates the influence of meteorological parameters such as temperature and precipitation on gross primary production (GPP) in the continental United States (CONUS) during boreal summer using satellite-based temperature and precipitation indices and GPP data at various scales (i.e., pixel, county, and state levels). The strong linear relationship between temperature and precipitation indices is presented around the central United States, particularly in the Great Plains, where the year-to-year variation of GPP is very sensitive to meteorological conditions. This sensitive GPP variation is mostly attributable to the semi-arid climate in the Great Plains, where crop productivity and temperature are closely related. The more specific information for the regionality of the relationships across the variables manifests itself at higher resolutions. The impact of the summer meteorological condition on the annual crop yield is particularly significant. Maize and soybean yields show a strong correlation with both Temperature Condition Index (TCI) and Precipitation Condition Index (PCI) in the Great Plains, with a relatively higher relationship with TCI than PCI, which is consistent with the relationship compared with GPP. This study suggests that in-depth investigations into the relationship between maize and soybean yields and the climate are required. The region-dependent relationship between GPP and meteorological conditions in our study would guide agricultural decision making in the future climate. English Multidisciplinary Digital Publishing Institute (MDPI) Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data Article 10.3390/rs14153508 1 Remote Sensing, v.14, no.15 Remote Sensing 14 15 Y scie scopus 000839734100001 Environmental Sciences Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Geology Remote Sensing Imaging Science & Photographic Technology Article PRODUCTION EFFICIENCY MODEL SURFACE TEMPERATURE CORN CLIMATE DROUGHT ENSO IRRIGATION GPP regional climate crop productivity crop yield gross primary production temperature precipitation