Presentation + Paper
17 October 2023 Remote sensing data upon application of methodology for defining the adjoining lands and flooding river stripes in Bulgaria
Author Affiliations +
Abstract
In the year 2012 the Ministry of environment and waters (MOEW) in Bulgaria initiate the development of “Methodology for defining the adjoining lands and flooding rivers stripes in Bulgaria” based on Water Directive 2000/60/ЕС requirements and its transposing into national law. The methodology should be applied in cases when governmental bodies issue permits for use and water use of a water body upon art. 46 of the Water Act in Bulgaria. The methodology can be used also in the development of Flooding Risk Management Plans. The research investigates the possibilities of remote sensing as a tool for the verification of initial data for generating DEM and verification of data for the bedding surface of the studied watershed to the place of use or water use from the river section. The results show that remote sensing data from Sentinel-2 contribute for the timeliness of the data that have been used in different stages of the Methodology. The correlation among components water, vegetation and soil have been examined by estimating the indices NDVI, NDWI, SAVI, MSAVI 2. The interpretation of the analysis is useful when calculate the maximum runoff formed in the studied watershed. The probability of an increase in the water levels of the studied river section and flooding of the lands belonging to it can be predicted by applying the methodology.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kameliya Radeva and Silvia Kirilova "Remote sensing data upon application of methodology for defining the adjoining lands and flooding river stripes in Bulgaria", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 1272706 (17 October 2023); https://doi.org/10.1117/12.2680119
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vegetation

Remote sensing

Data modeling

Satellites

Land cover

Satellite imaging

Rain

Back to Top