Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal

Author(s)

Sanches, Ieda Del'Arco ^{[1, 2]} ; Souza Filho, Carlos Roberto ^[1] ; Kokaly, Raymond Floyd ^[3]

Affiliation

^[1] Univ Campinas UNICAMP, Inst Geosci, BR-13083970 Campinas, SP - Brazil

^[2] Brazilian Natl Inst Space Res INPE, Remote Sensing Div DSR, BR-12227010 Sao Jose Dos Campos, SP - Brazil

^[3] US Geol Survey, Denver Fed Ctr, Lakewood, CO 80225 - USA

• Document type: Journal article
• Source: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING; v. 97, p. 111-122, NOV 2014.
• Web of Science Citations: 26

Abstract

This paper explores the use of spectral feature analysis to detect plant stress in visible/near infrared wavelengths. A time series of close range leaf and canopy reflectance data of two plant species grown in hydrocarbon-contaminated soil was acquired with a portable spectrometer. The ProSpecTIR-VS airborne imaging spectrometer was used to obtain far range hyperspectral remote sensing data over the field experiment. Parameters describing the chlorophyll 680 nm absorption feature (depth, width, and area) were derived using continuum removal applied to the spectra. A new index, the Plant Stress Detection Index (PSDI), was calculated using continuum-removed values near the chlorophyll feature centre (680 nm) and on the green-edge (560 and 575 nm). Chlorophyll feature's depth, width and area, the PSDI and a narrow-band normalised difference vegetation index were evaluated for their ability to detect stressed plants. The objective was to analyse how the parameters/indices were affected by increasing degrees of plant stress and to examine their utility as plant stress indicators at the remote sensing level (e.g. airborne sensor). For leaf data, PSDI and the chlorophyll feature area revealed the highest percentage (67-70%) of stressed plants. The PSDI also proved to be the best constraint for detecting the stress in hydrocarbon-impacted plants with field canopy spectra and airborne imaging spectroscopy data. This was particularly true using thresholds based on the ASD canopy data and considering the combination of higher percentage of stressed plants detected (across the thresholds) and fewer false-positives. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. (AU)

• FAPESP's process: 11/03416-8 - The Use of Ultra/Hyperspectral Remote Sensing for Premature Detection of Botanical Change in Soil-Vegetation System as Indicator of Small Leakages of Liquid Hydrocarbons in Pipelines
• Grantee: Ieda Del'Arco Sanches
• Support Opportunities: Scholarships in Brazil - Post-Doctoral