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Enumeration	Reference	Cover	Find
1.	2021 swepub:Mat__t
2.	Thomas, HS, et al. (author) 2019 swepub:Mat__t
3.	Bhangu, A, et al. (author) Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study 2018 In: The Lancet. Infectious diseases. - : Elsevier. - 1474-4457 .- 1473-3099. ; 18:5, s. 516-525 Journal article (peer-reviewed)
4.	Sahraei, R., et al. (author) IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING 2023 In: Edit ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ; 10, s. 669-675 Conference paper (peer-reviewed)abstract Mangroves provide numerous environmental benefits, such as carbon sequestration, water purification, climate change mitigation, and flood and Tsunami impact reduction. Despite these unique advantages, mangroves are threatened by the combined adverse impacts of human activities and climate change. Therefore, it is essential to implement reasonable practices to avoid further degradation of mangroves and provide efficient workflows to increase their extent. Accordingly, better plantation policies are principally required for their conservation and rehabilitation. In this study, we desired to detect suitable locations for mangrove plantation in coastal areas of Hormozgan Province, Iran. We considered a relatively new Multi Criteria Decision Making (MCDM) technique to combine ten criteria derived from remote sensing in a GIS environment. The Best Worst Method (BWM), as an MDCM technique, was implemented to determine the relative importance of each criterion. Afterward, all criteria were aggregated using the Weighted Linear Combination (WLC) method to produce a mangrove plantation suitability map. Statistical measures, including Overall Accuracy (OA = 95%), Kappa Coefficient (KC = 87.9%), and Area Under Curve (AUC = 98.79%), indicated the high applicability of the implemented method for mangrove plantation site allocation. The produced map could give managers a profound insight into finding optimal spots to plant mangroves.

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Type of publication: conference paper (1); journal article (1)

Type of content: peer-reviewed (2)

Author/Editor: Gupta, A. (3); Wilson, M (3); Moore, R. (3); Roy, C. (3); Davies, R (3); Mohan, M. (3); show more...; Patel, P. (3); Ali, S (3); Sharma, A (3); Mohamed, M. (3); O'Neill, S (3); Ali, A. (3); Ahmed, S. (3); Cox, D (3); Emile, S (3); Pata, F (3); Smart, N (3); Khatri, C (3); Gallo, G (3); Drake, TM (3); Litvin, A (3); Major, P (3); Maimbo, M (3); Shu, S (3); Sund, M (3); Tabiri, S (3); O'Shea, M (3); Salem, M (3); Dijan, E (3); Saad, MM (3); Foo, CC (3); Ahmed, A (3); Bianco, F (3); Taddei, A (3); Luglio, G (3); Pagano, G (3); Belli, A (3); Mochet, S (3); Sasia, D (3); Jovine, E (3); Nouh, T (3); Lieske, B (3); Peros, G (3); Ozmen, BB (3); Warren, O (3); Smith, C (3); Gala, T (3); Herrod, P (3); Patel, K (3); Youssef, M (3); show less...

University: Karolinska Institutet (2); Umeå University (1); Lund University (1)

Language: English (4)

Research subject (UKÄ/SCB): Engineering and Technology (1); Medical and Health Sciences (1)

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