Abstract
On basis of multispectral satellite data from Sentinel 2, an assessment of high mountain ecosystems condition is executed in selected territories of South West Rila Mountain. To define their actual condition, values of Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Differential Greenness Index (NDGI) were computed. The obtained values of these indices are presented as graphic images and thematic maps showing spatial distribution of the actual condition of high mountain ecosystems in the studied territories of Rila Mountain. The obtained results can be used for further assessment of ecosystem services provided by described ecosystems.
Highlights
High mountain ecosystems (HME) are believed to be an indicator of climate changes both on global and regional scale
The aim of the current study was to assess the changes in the functional condition of high mountain ecosystems in a selected territory of Rila Mountain by means of remote sensing methods based on Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Differential Greenness Index (NDGI)
After NDVI data processing for the studied period of time (02.08 – 27.08.2017), a decrease in areas with high values of the index was observed at the end of the period
Summary
High mountain ecosystems (HME) are believed to be an indicator of climate changes both on global and regional scale. The using of remote sensing methods is a relatively new approach which provides greater opportunities for ecosystem analyses and condition assessment on the landscape level. This gives them some advantage over the ground methods, but it is the combination of both that increases research objectivity [5]. A number of indices were elaborated for analyzing ecosystem functional condition They were mostly designed for forest health assessment [6]. Using satellite data for computing of different indices allows the assessment of specific characteristics of ecosystem functionality and gives new opportunities for analyses and interpretation of HME (and forest ecosystems) [7]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
