Towards the evaluation of regional ecosystem integrity using NDVI, brightness temperature and surface heterogeneity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F21%3A00546327" target="_blank" >RIV/86652079:_____/21:00546327 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11240/21:10429254
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0048969721040663?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0048969721040663?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scitotenv.2021.148994" target="_blank" >10.1016/j.scitotenv.2021.148994</a>
Alternative languages
Result language
angličtina
Original language name
Towards the evaluation of regional ecosystem integrity using NDVI, brightness temperature and surface heterogeneity
Original language description
Maintaining ecological integrity is globally acknowledged as a strategic goal, yet there is no consensus on a practical and widely usable methodology to assess it. This study proposes a comprehensive approach to quantify regional ecosystem integrity based on FAIR data, obtained using satellite remote sensing and image analysis. Three variables are central to this approach: normalized difference vegetation index (NDVI), at-satellite brightness temperature (BT) and vegetation surface heterogeneity (HG), corresponding to ecosystem integrity indicators exergy capture, biotic water flows and abiotic heterogeneity. The indicators are assessed across the vegetation period and a representative Regional Index of Ecological Integrity (RIEI) is proposed to express the integrity of two case study areas and representative land use types. The proposed approach proved powerful in representing the anthropogenic and autopoietic gradient within study regions in high detail. Arable lands and urban areas ranked lowest, while dense forests and wetlands highest, agriculture being the most significant factor reducing regional integrity. Areas with conservation significance ranked either having the highest integrity, when dense vegetation was present, and mediocre or even low in case of e.g., sand dunes, marches and rock formations. Limitations of the method comprise: insufficient representation of biodiversity, sensitivity to cloud cover and demanding in-situ validation. The approach can be scaled from global to local level, adapted to various remote sensing techniques and complemented by a diversity of data (e.g., ecosystem services, geomorphological, dimatic) to provide deeper understanding of landscape ecosystem integrity. (C) 2021 Elsevier B.V. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50704 - Environmental sciences (social aspects)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Science of the Total Environment
ISSN
0048-9697
e-ISSN
1879-1026
Volume of the periodical
796
Issue of the periodical within the volume
NOV
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
16
Pages from-to
148994
UT code for WoS article
000701215700007
EID of the result in the Scopus database
2-s2.0-85110444942