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• W4366590374 abstract "Ecosystem conditions at the regional level are critical factors for environmental management, public awareness, and land use decision making. Regional ecosystem conditions may be examined from the perspectives of ecosystem health, vulnerability, and security, as well as other conceptual frameworks. Vigor, organization, and resilience (VOR) and pressure-stress-response (PSR) are two commonly adopted conceptual models for indicator selection and organization. The analytical hierarchy process (AHP) is primarily used to determine model weights and indicator combinations. Although there have been many successful efforts in assessing regional ecosystems, they remain affected by a lack of spatially explicit data, weak integration of natural and human dimensions, and uncertain data quality and analyses. In the future, regional ecosystem condition assessments may be advanced by incorporating recent improvements in spatial big data and machine learning to create more operative indicators based on Earth observations and social metrics. The collaboration between ecologists, remote sensing scientists, data analysts, and scientists in other relevant disciplines is critical for the success of future assessments." @default.
• W4366590374 created "2023-04-23" @default.
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• W4366590374 date "2023-04-19" @default.
• W4366590374 modified "2023-09-25" @default.
• W4366590374 title "Assessing Regional Ecosystem Conditions Using Geospatial Techniques—A Review" @default.
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• W4366590374 doi "https://doi.org/10.3390/s23084101" @default.
• W4366590374 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37112442" @default.
• W4366590374 hasPublicationYear "2023" @default.
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