Retrieval of Paddy Crop Nutrient Content at Plot Scale Using Optimal Synthetic Bands of High Spectral and Spatial Resolution Satellite Imagery

The main aim of the present study is to introduce Hyperion narrow band information into high spatial broad imagery so that it will be helpful for estimation crop parameters at small field scale from multispectral data. Here, we are targeting retrieve nitrogen content summer paddy plot scale. Our findings concluded heterogeneity can assessed by implementing index regression model designed LISS IV Moreover, proposed models construct synthetic bands in green (GS), red (RS) and NIR (NS) regions spectrum high-resolution satellite (LISS IV) also presented here { $$GS\rho_{LISS \, IV} = 0.032 \cdot G\rho_{IH} + 17.296$$ ; $$RS\rho_{LISS 0.072 R\rho_{IH} 16.025$$ $$NS\rho_{LISS 0.087 N\rho_{IH} 24.923$$ }. It showed variability ranged 3.37–6.04% obtained leaf concentration (LNC: R705, R717, R491) 3.82–5.96% simple ratio (SR: R533, R565) over a rice agriculture system. Thus, details level system data with 5.6 m resolution through bands. results conclude band-based derived average method effectively evaluate distribution croplands subjected varying heterogeneity. confirmed methodology applied mapping plot-scale within fields space platform, which beneficial achieving operational precision farming more efficiently.