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SM ISO690:2012 ISTRATE, Adrian-George, STOLERIU, Alexandra Petronela, MILITARU, Ion, BREABĂN, Iuliana Gabriela. Changes of forest state using various biophysical indicators. In: Present Environment and Sustainable Development, Ed. 17, 3 iunie 2022, Iași. Iași: 2022, Ediția 17, pp. 71-72. |
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Present Environment and Sustainable Development Ediția 17, 2022 |
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Simpozionul "Present Environment and Sustainable Development" 17, Iași, Romania, 3 iunie 2022 | |
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Pag. 71-72 | |
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The forest is integrated in the mechanism of terrestrial ecological systems, ensuring the regional climatic balance, the normal and coherent functioning of the hydrographic basins, the prevention of land degradation, the attenuation of the reduction of biodiversity and different resources for the society. This function of the forest ecosystem depends very much on the quality of the forest, not just its quantity. The fundamental way to improve the quality of forests, which could also preserve the functions of ecosystems, is their sustainable management. With the increasing availability of high-resolution satellite imagery, studies can be made to highlight the changes that are taking place in forest and tree species, by using vegetation indices derived from spectral bands. The main purpose of this study was to find out the differences between forest tree species in the Natural Park Putna Vrancea, using biophysical indices derived from Sentinel 2 images. In order to do that, was chosen images within the visible and infrared range of the electromagnetic spectrum for 2017-2021 period. Before calculating the biophysical indices, the images were pre-processed in the SNAP program, applying atmospheric correction, resampling, subset and reprojection operations. The analysis was based on Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction of Vegetation Cover (FCOVER), and Canopy Water Content (CW), that were compared with field data. These indices use the spectral information of 11 normalized data: B3, B4, B5, B6, B7, B8a, B11, B12 and directional information. The results show the high potential of Sentinel 2 images for these types of analyses, in which it can be observed the forest state. |
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Cuvinte-cheie Remote sensing, changes, Forest, Sentinel 2, Biophysical Indices |
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