volume 40, issue 3, P405-412 2020
DOI: 10.1590/1809-4430-eng.agric.v40n3p405-412/2020
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Abstract: This study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential evapotranspiration (MOD16), normalized difference vegetation index -NDVI (MOD13Q1), and leaf area index (MOD15A2H) from the MODIS satellite were used, in addition to su…

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