Application of LAI and NDVI to model soybean yield in the regions of the Russian Far East

• Published in: IOP conference series. Earth and environmental science Vol. 949; no. 1; pp. 12030 - 12037
• Main Authors: Dubrovin, K N, Stepanov, A S, Aseeva, T A
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.01.2022
• Subjects: Agricultural land; Air temperature; Arable land; Crop yield; Leaf area; Leaf area index; Model accuracy; Normalized difference vegetative index; Regression analysis; Regression models; Remote sensing; Root-mean-square errors; Soybeans; Spectroradiometers; Web services

Abstract Soybean yield modeling using remote sensing is an essential task in the south of the Russian Far East and makes it possible to plan sowing areas at the municipal level. This article presents a comparative assessment of the regression models’ accuracy, where the seasonal maxima of the LAI (L...