Paper
10 June 2013 Analysis of climatic and anthropogenic changes effects on spectral vegetation indices of forested areas
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Proceedings Volume 8882, ROMOPTO 2012: Tenth Conference on Optics: Micro- to Nanophotonics III; 88820X (2013) https://doi.org/10.1117/12.2032670
Event: ROMOPTO International Conference on Micro- to Nano-Photonics III, 2012, Bucharest, Romania
Abstract
Climate variability and change are risk factors for climate sensitive activities such as forestry. Managing these risks requires “climate knowledge”, i.e. a sound understanding of causes and consequences of climate variability and knowledge of potential management options that are suitable in light of the climatic risks posed. Thresholding based on biophysical variables derived from time series satellite data is a new approach to classifying forest land cover via remote sensing through use of Normalized Difference Vegetation Index –NDVI and Enhanced vegetation Index- EVI. This paper aims to assess spatio-temporal forest changes through applied time-series Landsat TM, ETM, MODIS Terra/Aqua and IKONOS satellite remote sensing data of Cernica forest area near Bucharest, Romania, during 1990-2011 period. Additional forest biophysical parameter Land Surface Temperature/Emissivity - LST was considered in this paper. This information is complemented by in-situ monitoring data (field measurements, data collection) together with modeling tools (theoretical developments, mathematical and bio-geophysical parameterization, statistics of the main urban structures in their interdependency) and spatial analysis methods.
© (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 "Analysis of climatic and anthropogenic changes effects on spectral vegetation indices of forested areas", Proc. SPIE 8882, ROMOPTO 2012: Tenth Conference on Optics: Micro- to Nanophotonics III, 88820X (10 June 2013); https://doi.org/10.1117/12.2032670
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KEYWORDS
Vegetation

Climatology

Climate change

Earth observing sensors

Satellites

Remote sensing

Landsat

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