Paper
10 June 2013 Optospectral techniques for urban forest state characterization
Author Affiliations +
Proceedings Volume 8882, ROMOPTO 2012: Tenth Conference on Optics: Micro- to Nanophotonics III; 88820O (2013) https://doi.org/10.1117/12.2032653
Event: ROMOPTO International Conference on Micro- to Nano-Photonics III, 2012, Bucharest, Romania
Abstract
Spectral patterns of different forest land cover can identify certain pollution compounds, and water stress conditions based on the interaction of photons with the molecular structure of the forest target structure. Based on such methods, the objective of this research was to evaluate and characterize selected forest test area Baneasa- Tunari located in the Northern part of Bucharest metropolitan region, Romania, where the climate and anthropogenic stressors endanger natural and economical values of environment. Based on time-series Landsat TM, ETM, MODIS Terra/Aqua and IKONOS satellite data have been investigated urban forest land cover and forest biophysical parameters (Normalized Difference Vegetation Index- NDVI and Leaf Area Index- LAI) changes over 1990- 2011 period of time. Accuracy of image processing results (spectral classification) was confirmed through in-situ spectroradiometrical analysis of reflectance spectra with portable GER 2600 spectroradiometer.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Zoran, Roxana Savastru, Dan Savastru, Marina Tautan, Sorin Miclos, and Laurentiu Baschir "Optospectral techniques for urban forest state characterization", Proc. SPIE 8882, ROMOPTO 2012: Tenth Conference on Optics: Micro- to Nanophotonics III, 88820O (10 June 2013); https://doi.org/10.1117/12.2032653
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Cited by 4 scholarly publications.
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KEYWORDS
Vegetation

Climatology

Satellites

Earth observing sensors

Climate change

Reflectivity

Satellite imaging

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