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Journals / International Journal of Engineering and Geosciences / 2022 / Cilt: 7 - Sayı: 3

A fuzzy multi-criteria decision-making approach for the assessment of forest health applying hyper spectral imageries: A case study from Ramsar forest, North of Iran

Khalil VALİZADEH KAMRAN
Behnam KHORRAMİ
Pages
7–14
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, the results indicate a high potentiality for applying the spatial MCDM techniques as an effective tool for the forest health investigation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The hyperspectral images have so far been widely utilized in monitoring and detecting the changes in a broad range of environmentally related matters.
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Key Findings & Data:The hyperspectral image analysis yields maps that show spatial dispersion of physical and ecological characteristics of the terrain.
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Conclusion & Impact:Furthermore, the results indicate a high potentiality for applying the spatial MCDM techniques as an effective tool for the forest health investigation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hyperspectral · Fuzzy set · Forest health

Abstract

The hyperspectral images have so far been widely utilized in monitoring and detecting the changes in a broad range of environmentally related matters. The hyperspectral image analysis yields maps that show spatial dispersion of physical and ecological characteristics of the terrain. Within the scope of the current study, an integrated Fuzzy-MCDM in a Geographic Information Systems (GIS) platform was used to map the health condition of Ramsar forest. Spectral indices can provide different methods for identifying vegetation coverings. For forest health analysis, spectral indices such as NDWI, CRI1, PSRI, PRI, and NDVI were used to infer the causative factors of forest health. The findings highlight the suitability of the used methodology in identifying potential forest statuses, where forest health protection measures can be taken in advance. The results also suggest that the southern and the western aspects of the study area are of “very low” to “low” forest health. Furthermore, the results indicate a high potentiality for applying the spatial MCDM techniques as an effective tool for the forest health investigation.

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Cite This Article

KAMRAN, K. V., KHORRAMİ, B. (2022). A fuzzy multi-criteria decision-making approach for the assessment of forest health applying hyper spectral imageries: A case study from Ramsar forest, North of Iran. International Journal of Engineering and Geosciences, Cilt: 7 - Sayı: 3, 7–14. https://ajindex.com/articles/540666

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