Spectroscopic Remote Sensing Of Plant Stress At Leaf And Canopy Levels Using The Chlorophyll 680nm Absorption Feature With Continuum Removal

dc.creatorSanches I.D.
dc.creatorSouza Filho C.R.
dc.creatorKokaly R.F.
dc.date2014
dc.date2015-06-25T17:49:51Z
dc.date2015-11-26T15:26:24Z
dc.date2015-06-25T17:49:51Z
dc.date2015-11-26T15:26:24Z
dc.date.accessioned2018-03-28T22:35:08Z
dc.date.available2018-03-28T22:35:08Z
dc.identifier
dc.identifierIsprs Journal Of Photogrammetry And Remote Sensing. Elsevier, v. 97, n. , p. 111 - 122, 2014.
dc.identifier9242716
dc.identifier10.1016/j.isprsjprs.2014.08.015
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84907165081&partnerID=40&md5=d95f2e2239c34ec98487fef5972ec856
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/85725
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/85725
dc.identifier2-s2.0-84907165081
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1261120
dc.descriptionThis 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.
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dc.description111
dc.description122
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dc.languageen
dc.publisherElsevier
dc.relationISPRS Journal of Photogrammetry and Remote Sensing
dc.rightsfechado
dc.sourceScopus
dc.titleSpectroscopic Remote Sensing Of Plant Stress At Leaf And Canopy Levels Using The Chlorophyll 680nm Absorption Feature With Continuum Removal
dc.typeArtículos de revistas


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