Title :
Identification of dense boreal forest on the basis of simulated NOAA-AVHRR reflectance factors
Author :
Engelsen, Ola ; Govaerts, Yves ; Pinty, Bernard ; Verstraete, Michel M.
Author_Institution :
Norut Inf. Technol., Tromso, Norway
Abstract :
Describes a method for identification of dense boreal forest with the AVHRR band 1 and 2 observations on the basis of radiative transfer modeling of satellite-level reflectances. The method takes both spectral, temporal and directional information into account. The idea itself is straightforwardly extendible to other surface types and optical satellite instruments. The approach is particularly promising for the new generation of optical satellite sensors due to be launched towards the end of the millenium
Keywords :
forestry; geophysical techniques; remote sensing; vegetation mapping; 650 nm; 850 nm; AVHRR; NOAA; dense boreal forest; forest; forestry; geophysical measurement technique; near infrared; optical imaging; radiative transfer model; reflectance factor; satellite remote sensing; vegetation mapping; visible; Atmosphere; Atmospheric measurements; Atmospheric modeling; Ecosystems; Information technology; Lighting; Optical sensors; Reflectivity; Satellites; Space technology;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702333