Remote Sensing Based Vegetation Analysis in Parangalitsa Reserved Area

Miroslav A. Ivanov*, Konstantin A. Tyufekchiev
South-West University of Neofit Rilski, 66 Ivan Michailov Str., Blagoevgrad, BULGARIA
*Corresponding author:
Abstract.  In the last decade the remote sensing and the Unmanned Aerial Vehicles (UAV) become a very popular technology for observing the spatial distribution of different objects and processes. Generating a point cloud, extracting DSM and DTM from a photogrammetric mosaic and analyze the change of the canopy are the main features of the remote sensing ground monitoring applications. This study is focused on the feasibility and adaptability analysis of the UAV techniques and the satellite images processing software as instrument for interpretation of the vegetation health in Parangalitsa reserve area. The area of interest that is subject of investigation in this research is situated in Rila National Park, South-West Bulgaria. To analyze the canopy in the reserve have been used two types of remote sensing information the first one is a rapid eye satellite picture with a 5 m spatial resolution as the second one is a photogrammetry mosaic extracted with a fix wing E-bee UAV equipped with a high resolution 20 MP S.O.D.A and multispectral Parrot Sequoia cameras. The main idea of this study was to use the high resolution images captured by the UAV as a benchmark and to extract the NDVI values of the pixels that represent vegetation in very bad shape and after that to search for pixels with the same NDVI values on the low resolution satellite images in order to find areas on the satellite pictures with dead or dying vegetation and also to analyze the dynamics in the health status of the forest vegetation inside the reserve for 8th Years period between 2009 and 2017.
Key words: remote sensing, satellite images, NDVI, forest ecosystems.

Ecologia Balkanica, 2019, Special Edition 2, pp. 187-197
Article № eb.19SE212 [Full text - PDF]pdf

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