Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization

Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization

This study focused on optimizing the placement of shortwave infrared (SWIR) bands for pixel-level estimation of fractional crop residue cover (<i>f</i><sub>R</sub>) for the upcoming Landsat Next mission. We applied an iterative wavelength shift approach to a database of crop...

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Bibliographic Details
Main Authors: Brian T. Lamb, Philip E. Dennison, W. Dean Hively, Raymond F. Kokaly, Guy Serbin, Zhuoting Wu, Philip W. Dabney, Jeffery G. Masek, Michael Campbell, Craig S. T. Daughtry
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
Landsat Next
crop residue
non-photosynthetic vegetation
tillage
lignocellulose
shortwave infrared
Online Access:https://www.mdpi.com/2072-4292/14/23/6128

Internet

https://www.mdpi.com/2072-4292/14/23/6128

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