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Journals / Kastamonu Üniversitesi Orman Fakültesi Dergisi / 2021 / Cilt: 21 - Sayı: 1

Spatial Analysis of the Degraded Forest Areas in Idmine Forest-Morocco Using Geoscience Capabilities

Fas’ın Idmine Ormanı’ndaki Bozulmuş Orman Alanlarının Yerbilim Yeteneklerini Kullanarak Mekansal Analizi

Said LAARIBYA
Assmaa ALAOUI
Sezgin AYAN
Abdelkader BENABOU
Pages
1–11
DOI
—
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AI Summary & Key Takeaways

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

Highlights: This monitoring might help managers to create forest management plans and to evaluate the speed of deforestation and degradation.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim of study: The aim of the study is to present a diagnosis for the state of Argan forest degradation in Morocco through GIS and remote sensing utilizing Sentinel 2 satellite images of the year 2019 (dated 28/08/2019).
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Key Findings & Data:Main results: Two methods have given the same results (Kappa coefficient=90%) to describe the state of forest degradation.
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Conclusion & Impact:Highlights: This monitoring might help managers to create forest management plans and to evaluate the speed of deforestation and degradation.
🔬Design:Research Article
📍Scope:2019 Verileri
⚙️Variables:CBS · Uzaktan Algılama · Vejetasyon Indeksi

Abstract

Aim of study: The aim of the study is to present a diagnosis for the state of Argan forest degradation in Morocco through GIS and remote sensing utilizing Sentinel 2 satellite images of the year 2019 (dated 28/08/2019). Area of study: The study was carried out in a forest commune in Idmine, South West Morocco, which is located in semi-arid bioclimatic region. Material and methods: In the study, two methods were tested. These are; (i) the vegetation indices (VIs) [Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Soil-Adjusted Vegetation Index (SAVI), Brilliance Index (IB)] and their combination and (ii) the supervised classification and spectral analysis. Main results: Two methods have given the same results (Kappa coefficient=90%) to describe the state of forest degradation. Consequently, three classes pertaining to forest degradation within the study area were; low (34%), medium (44%) and critical degradation (22%). Highlights: This monitoring might help managers to create forest management plans and to evaluate the speed of deforestation and degradation.

Özet

Çalışmanın Amacı: Çalışmanın amacı, 2019 yılının (28/08/2019 tarihli) Sentinel 2 uydu görüntülerini kullanarak CBS ve Uzaktan Algılama yoluyla orman bozulma durumu için bir tanı sunmaktır. Çalışma Alanı: Çalışma, yarı kurak biyoklimatik bölgede bulunan Güney Batı Fas'taki Idmine orman komününde gerçekleştirilmiştir. Materyal ve Yöntem: Bu çalışmada, iki yöntem denenmiştir. Bunlar; (i) Vejetasyon indisleri (VIs) [Normalize Fark Vejetasyon İndeksi (NDVI), Normalize Fark Su İndeksi (NDWI), Toprak-uyarlı Vejetasyon İndeksi (SAVI), Parlaklık İndeksi (IB)] ve bunların kombinasyonu ile (ii) Denetimli sınıflandırma ve spektral analizdir. Temel sonuçlar: Orman degradasyon durumunu tanımlamak için iki yöntem aynı sonuçları (Kappa katsayısı=%90) vermiştir. Sonuç olarak, çalışma alanı içindeki orman degredasyonuna ilişkin üç sınıf; düşük (%34), orta (%44) ve kritik bozulma (%22)’dır. Araştırma Vurguları: Bu izleme, yöneticilerin orman yönetim planları oluşturmasına ve ormansızlaşma ve orman degredasyonu hızını değerlendirmesine yardımcı olabilir.

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Cite This Article

LAARIBYA, S., ALAOUI, A., AYAN, S., BENABOU, A. (2021). Spatial Analysis of the Degraded Forest Areas in Idmine Forest-Morocco Using Geoscience Capabilities. Kastamonu Üniversitesi Orman Fakültesi Dergisi, Cilt: 21 - Sayı: 1, 1–11. https://ajindex.com/articles/271592

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