Paper
21 October 2019 Climate change influence on Vegetation Indices (VIs) dynamics upon application of interim ecological monitoring (IEM) based on remote sensing data
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Abstract
The aim of the study is to obtain a quantitative assessment of soil type impact on the soil-vegetation system through the respective models. To achieve this goal, the vegetation cover of a habitat under Council Directive 92/43/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora (Habitats Directive) for the 2016-2019 time period and the influence of climatic factors (precipitation and temperature) on the vegetation cover by applying Interim Ecological Monitoring (IEM) based on remotely-sensed data. Multispectral satellite data (MSI) from Sentinel-2 have been used for quantification of the soil-vegetation system. Various types of Vegetation Indices like Normalized Differential Vegetation Index (NDVI), Soiled-adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI2), Normalized Difference Infrared Index (NDII), have been estimated to determine the actual state of the vegetation cover. For tracking the “soil-vegetation” relation Normalized Differential Greenness Index (NDGI) has been applied based on orthogonalization of satellite data from Sentinel-2. The results obtained are validated by interim ecological monitoring methodology (MIEM) for habitats and are expected to review habitat(s) trends for the indicated period and such for a near - future period. The study will demonstrate the benefits of IEM application for the purposes of reporting under art. 17 from Habitats Directive.
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Kameliya Radeva, Roumen Nedkov, Emiliya Velizarova, and Iliyana Gigova "Climate change influence on Vegetation Indices (VIs) dynamics upon application of interim ecological monitoring (IEM) based on remote sensing data", Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 111492A (21 October 2019); https://doi.org/10.1117/12.2538121
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KEYWORDS
Ecosystems

Vegetation

Climate change

Climatology

Remote sensing

Satellites

Composites

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