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Proceedings Paper

Satellite and in situ monitoring data used for modeling of forest vegetation reflectance
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Paper Abstract

As climatic variability and anthropogenic stressors are growing up continuously, must be defined the proper criteria for forest vegetation assessment. In order to characterize current and future state of forest vegetation satellite imagery is a very useful tool. Vegetation can be distinguished using remote sensing data from most other (mainly inorganic) materials by virtue of its notable absorption in the red and blue segments of the visible spectrum, its higher green reflectance and, especially, its very strong reflectance in the near-IR. Vegetation reflectance has variations with sun zenith angle, view zenith angle, and terrain slope angle. To provide corrections of these effects, for visible and near-infrared light, was used a developed a simple physical model of vegetation reflectance, by assuming homogeneous and closed vegetation canopy with randomly oriented leaves. A simple physical model of forest vegetation reflectance was applied and validated for Cernica forested area, near Bucharest town through two ASTER satellite data , acquired within minutes from one another ,a nadir and off-nadir for band 3 lying in the near infra red, most radiance differences between the two scenes can be attributed to the BRDF effect. Other satellite data MODIS, Landsat TM and ETM as well as, IKONOS have been used for different NDVI and classification analysis.

Paper Details

Date Published: 22 October 2010
PDF: 11 pages
Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 782429 (22 October 2010); doi: 10.1117/12.864788
Show Author Affiliations
M. A. Zoran, National Institute of R&D for Optoelectronics (Romania)
R. S. Savastru, National Institute of R&D for Optoelectronics (Romania)
D. M. Savastru, National Institute of R&D for Optoelectronics (Romania)
S. I. Miclos, National Institute of R&D for Optoelectronics (Romania)
M. N. Tautan, National Institute of R&D for Optoelectronics (Romania)
L. Baschir, National Institute of R&D for Optoelectronics (Romania)


Published in SPIE Proceedings Vol. 7824:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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