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Computer Optics, 2022, Volume 46, Issue 4, Pages 634–642
DOI: https://doi.org/10.18287/2412-6179-CO-1067
(Mi co1055)
 

This article is cited in 2 scientific papers (total in 2 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework

M. Booria, K. Choudharyab, R. A. Paringerac, A. V. Kupriyanovac

a Scientific Research Laboratory of Automated Syatem of Scientific Research (SRL-35), Samara National Research University, Samara, Russia
b Department of Land Surveying and Geo-informatics, Smart Cities Research Institute, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
c Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia, Samara
Abstract: A spatiotemporal ecosystem health (EH) assessment study is necessary for sustainable development and proper management of natural resources. At present higher rate of human-socio-economic activities, industrialization, and misuse of land are major factors for ecosystem degradation. Therefore this research work used remote sensing (RS) and geographical information system (GIS) technology, under pressure-state-response (PSR) framework with analytic hierarchy process (AHP) weight method based on 29 indicators were analyzed for spatiotemporal EH assessment in Tatarstan and Samara states in Russia from 2010 to 2020. Results indicate continuous degradation of EH in Tatarstan state while in Samara state first decreased and later on an improved ecosystem health condition. This is one of the most innovative analyses work for real-time accurate ecosystem health assessment, mapping, and monitoring as well as protect fragile eco-environment with sustainable development, proper policy-making, and management at any scale and region.
Keywords: spatiotemporal ecosystem health, PSR, remote sensing and GIS, AHP, indicators
Funding agency Grant number
Russian Foundation for Basic Research 19-29-01135
Ministry of Science and Higher Education of the Russian Federation 0777-2020-0017
The research was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant # 0777-2020-0017) and partially funded by RFBR, project number # 19-29-01135.
Received: 07.09.2016
Accepted: 11.11.2016
Document Type: Article
Language: English
Citation: M. Boori, K. Choudhary, R. A. Paringer, A. V. Kupriyanov, “Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework”, Computer Optics, 46:4 (2022), 634–642
Citation in format AMSBIB
\Bibitem{BooChoPar22}
\by M.~Boori, K.~Choudhary, R.~A.~Paringer, A.~V.~Kupriyanov
\paper Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework
\jour Computer Optics
\yr 2022
\vol 46
\issue 4
\pages 634--642
\mathnet{http://mi.mathnet.ru/co1055}
\crossref{https://doi.org/10.18287/2412-6179-CO-1067}
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  • https://www.mathnet.ru/eng/co/v46/i4/p634
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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