DocumentCode :
410458
Title :
Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region
Author :
Zarco-Tajeda, P.J. ; Miller, J.R. ; Haboudane, D. ; Tremblay, N. ; Apostol, S.
Author_Institution :
Grupo de Optica Atmosferica, Univ. de Valladolid, Spain
Volume :
1
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
598
Abstract :
This work provides a description of the investigations conducted to assess the detection of chlorophyll fluorescence from hyperspectral CASI data. The viability of retrieval of solar-induced fluorescence through airborne imaging spectrometer measurements of radiance of targets under natural illumination is studied. A method based on in-filling of fluorescence signals in atmospheric oxygen absorption lines is applied to study sites of corn crop grown under different stress conditions due to variation in nitrogen treatment. Results of the relationships found between measurements of laser-induced fluorescence and chlorophyll concentration at the ground level with the in-filling of the 762 nm oxygen band and optical indices calculated from CASI imagery R685/R655, derivative D730/D706, and the double-peak derivative f/reflectance index Dpi (D688·D710 )/ D6972 are presented.
Keywords :
agriculture; airborne radar; atmospheric composition; atmospheric spectra; photosynthesis; remote sensing by radar; vegetation mapping; 762 nm; airborne hyperspectral CASI imagery; airborne imaging spectrometer; atmospheric oxygen absorption lines; chlorophyll concentration; chlorophyll fluorescence; corn crop; fluorescence signal in-filling; laser-induced fluorescence; nitrogen treatment; optical indices; oxygen band; red edge spectral region; reflectance index; solar-induced fluorescence; stress conditions; Absorption; Atmospheric measurements; Fluorescence; Hyperspectral imaging; Image edge detection; Image retrieval; Lighting; Optical imaging; Spectroscopy; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1293854
Filename :
1293854
Link To Document :
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