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Evaluation of SWIR Crop Residue Bands for the Landsat Next MissionThis research reports the findings of a Landsat Next expert review panel that evaluated the use of narrow shortwave infrared (SWIR) reflectance bands to measure ligno-cellulose absorption features centered near 2100 and 2300 nm, with the objective of measuring and mapping non-photosynthetic vegetation (NPV), crop residue cover, and the adoption of conservation tillage practices within agricultural landscapes. Results could also apply to detection of NPV in pasture, grazing lands, and non-agricultural settings. Currently, there are no satellite data sources that provide narrowband or hyperspectral SWIR imagery at sufficient volume to map NPV at a regional scale. The Landsat Next mission, currently under design and expected to launch in the late 2020’s, provides the opportunity for achieving increased SWIR sampling and spectral resolution with the adoption of new sensor technology. This study employed hyperspectral data collected from 916 agricultural field locations with varying fractional NPV, fractional green vegetation, and surface moisture contents. These spectra were processed to generate narrow bands with centers at 2040, 2100, 2210, 2260, and 2230 nm, at various bandwidths, that were subsequently used to derive 13 NPV spectral indices from each spectrum. For crop residues with minimal green vegetation cover, two-band indices derived from 2210 and 2260 nm bands were top performers for measuring NPV (R^(2) = 0.81, RMSE = 0.13) using bandwidths of 30 to 50 nm, and the addition of a third band at 2100 nm increased resistance to atmospheric correction residuals and improved mission continuity with Landsat 8 Operational Land Imager Band 7. For prediction of NPV over a full range of green vegetation cover, the Cellulose Absorption Index, derived from 2040, 2100, and 2210 nm bands, was top performer (R^(2) = 0.77, RMSE = 0.17), but required a narrow (≤20 nm) bandwidth at 2040 nm to avoid interference from atmospheric carbon dioxide absorption. In comparison, broadband NPV indices utilizing Landsat 8 bands centered at 1610 and 2200 nm performed poorly in measuring fractional NPV (R^(2) = 0.44), with significantly increased interference from green vegetation
Document ID
20220003090
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Wells Dean Hively ORCID
(United States Geological Survey Reston, Virginia, United States)
Brian T. Lamb ORCID
(United States Geological Survey Reston, Virginia, United States)
Craig S. T. Daughtry
(Agricultural Research Service Washington D.C., District of Columbia, United States)
Guy Serbin ORCID
(EOanalytics Ltd)
Philip Dennison ORCID
(University of Utah Salt Lake City, Utah, United States)
Raymond F. Kokaly
(United States Geological Survey Reston, Virginia, United States)
Zhuoting Wu ORCID
(United States Geological Survey Reston, Virginia, United States)
Jeffery G. Masek
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
February 24, 2022
Publication Date
September 17, 2021
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 13
Issue: 18
Issue Publication Date: September 2, 2021
e-ISSN: 2072-4292
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 881796.04.05.01.03.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
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