Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework
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 re...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2022-08-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | https://computeroptics.ru/eng/KO/Annot/KO46-4/460415e.html |
_version_ | 1797652994899050496 |
---|---|
author | M.S. Boori K. Choudhary R. Paringer A. Kupriyanov |
author_facet | M.S. Boori K. Choudhary R. Paringer A. Kupriyanov |
author_sort | M.S. Boori |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T16:37:59Z |
format | Article |
id | doaj.art-4dfdf48ae8734fd5a9b706158716a717 |
institution | Directory Open Access Journal |
issn | 0134-2452 2412-6179 |
language | English |
last_indexed | 2024-03-11T16:37:59Z |
publishDate | 2022-08-01 |
publisher | Samara National Research University |
record_format | Article |
series | Компьютерная оптика |
spelling | doaj.art-4dfdf48ae8734fd5a9b706158716a7172023-10-23T12:58:56ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792022-08-0146463464210.18287/2412-6179-CO-1067Spatiotemporal ecosystem health assessment comparison under the pressure-state-response frameworkM.S. Boori 0K. Choudhary1R. Paringer2A. Kupriyanov3Samara National Research UniversitySamara National Research University; Department of Land Surveying and Geo-informatics, Smart Cities Research Institute The Hong Kong Polytechnic UniversitySamara National Research University; IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RASSamara National Research University; IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RASA 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.https://computeroptics.ru/eng/KO/Annot/KO46-4/460415e.htmlspatiotemporal ecosystem healthpsrremote sensing & gisahpindicators |
spellingShingle | M.S. Boori K. Choudhary R. Paringer A. Kupriyanov Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework Компьютерная оптика spatiotemporal ecosystem health psr remote sensing & gis ahp indicators |
title | Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework |
title_full | Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework |
title_fullStr | Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework |
title_full_unstemmed | Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework |
title_short | Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework |
title_sort | spatiotemporal ecosystem health assessment comparison under the pressure state response framework |
topic | spatiotemporal ecosystem health psr remote sensing & gis ahp indicators |
url | https://computeroptics.ru/eng/KO/Annot/KO46-4/460415e.html |
work_keys_str_mv | AT msboori spatiotemporalecosystemhealthassessmentcomparisonunderthepressurestateresponseframework AT kchoudhary spatiotemporalecosystemhealthassessmentcomparisonunderthepressurestateresponseframework AT rparinger spatiotemporalecosystemhealthassessmentcomparisonunderthepressurestateresponseframework AT akupriyanov spatiotemporalecosystemhealthassessmentcomparisonunderthepressurestateresponseframework |