The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 423–427, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-423-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 423–427, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-423-2019

  26 Jul 2019

26 Jul 2019

REMOTE SENSING FOR ESTIMATION OF INTENSITY AND EXTENT OF PLANT RESIDUE COVER

R. Prajapati, D. Chakrborty, S. Saha, V. K. Gupta, and R. N. Sahoo R. Prajapati et al.
  • Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India

Keywords: Crop residue cover, Hyperspectral remote sensing, Cellulose Absorption Index, Reflectance

Abstract. Left-over crop residue on the surface is a measure of tillage intensity and soil management, and is an integral part of the conservation agriculture practice. Remote sensing can be successfully used to monitor the large area crop residue cover which is otherwise difficult through the conventional way, provided the spectrally similar crop residues and soil can be suitably differentiated. Hyperspectral reflectance (350–2500 nm) of various quantities of crop residue cover over red soil was measured with varying moisture contents in the residue. A broad spectrum near 2100 mm was identified for dry residue, which was not recorded in soil spectra. This could possibly be linked to the cellulose-lignin content. The cellulose absorption index (CAI) was evaluated for crop residue cover with moderate to good correlations, with strong dependency on the residue water content. A few narrow bands were identified to characterize both the cellulose-lignin (i.e. the CAI) and the water content, and could be incorporated in on-board multispectral sensors for regional estimation of crop residue over the soil surface.