@Article{SanchesSouzKoka:2014:SpReSe,
               author = "Sanches, Ieda Del'Arco and Souza Filho, Carlos Roberto and Kokaly, 
                         Raymond Floyd",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual de Campinas (UNICAMP)} and {U.S. Geological 
                         Survey}",
                title = "Spectroscopic remote sensing of plant stress at leaf and canopy 
                         levels using the chlorophyll 680nm absorption feature with 
                         continuum removal",
              journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
                 year = "2014",
               volume = "97",
                pages = "111--122",
             keywords = "Absorption features, Air-borne sensors, Continuum removal, 
                         HyperSpectral, Spectral feature, Vegetation index, absorption, 
                         airborne sensing, canopy reflectance, chlorophyll, environmental 
                         stress, leaf, NDVI, plant community, soil pollution, spectral 
                         analysis, spectrometer, time series analysis.",
             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.",
                  doi = "10.1016/j.isprsjprs.2014.08.015",
                  url = "http://dx.doi.org/10.1016/j.isprsjprs.2014.08.015",
                 issn = "0924-2716",
                label = "scopus 2014-11 SanchesSouzKoka:2014:SpReSe",
             language = "en",
        urlaccessdate = "18 jan. 2021"
}