Integrated Evaluation of Vegetation Drought Stress through Satellite Remote Sensing

• Published in: Forests 2021-08, Vol.12 (8), p.974
• Main Authors: Avetisyan, Daniela, Borisova, Denitsa, Velizarova, Emiliya
• Format: Article
• Language: English
• Subjects: Air temperature; Complex systems; Drought; Drought index; Ecosystem degradation; Ecosystem services; Ecosystems; Environmental impact; Evaluation; Forest ecosystems; Forests; Grasslands; Hydrology; Land cover; Land use; Landscape; Lithology; Precipitation; Reflectance; Remote sensing; Satellites; Soil water storage; Soils; Spectra; Spectral reflectance; Statistical analysis; Stress; Terrestrial ecosystems; Terrestrial environments; Vegetation; Water storage
• ISSN: 1999-4907; 1999-4907
• DOI: 10.3390/f12080974

In the coming decades, Bulgaria is expected to be affected by higher air temperatures and decreased precipitation, which will significantly increase the risk of droughts, forest ecosystem degradation and loss of ecosystem services (ES). Drought in terrestrial ecosystems is characterized by reduced water storage in soil and vegetation, affecting the function of landscapes and the ES they provide. An interdisciplinary assessment is required for an accurate evaluation of drought impact. In this study, we introduce an innovative, experimental methodology, incorporating remote sensing methods and a system approach to evaluate vegetation drought stress in complex systems (landscapes and ecosystems) which are influenced by various factors. The elevation and land cover type are key climate-forming factors which significantly impact the ecosystem’s and vegetation’s response to drought. Their influence cannot be sufficiently gauged by a traditional remote sensing-based drought index. Therefore, based on differences between the spectral reflectance of the individual natural land cover types, in a near-optimal vegetation state and divided by elevation, we assigned coefficients for normalization. The coefficients for normalization by elevation and land cover type were introduced in order to facilitate the comparison of the drought stress effect on the ecosystems throughout a heterogeneous territory. The obtained drought coefficient (DC) shows patterns of temporal, spatial, and interspecific differences on the response of vegetation to drought stress. The accuracy of the methodology is examined by field measurements of spectral reflectance, statistical analysis and validation methods using spectral reflectance profiles.