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IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING

Sahraei, R. LU ; Ghorbanian, A. LU ; Kanani-Sadat, Y. ; Jamali, S. LU orcid and Homayouni, S. (2023) Joint 6th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2023 and 4th Geospatial Information Research, GIResearch 2022 Conferences 10. p.669-675
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... (More)

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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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Best Worst Method, GIS, Mangrove, Multi Criteria Decision Making, Plantation Allocation, Remote Sensing
host publication
Edit ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
volume
10
pages
7 pages
conference name
Joint 6th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2023 and 4th Geospatial Information Research, GIResearch 2022 Conferences
conference location
Virtual, Online, Iran, Islamic Republic of
conference dates
2023-02-19 - 2023-02-22
external identifiers
  • scopus:85146951794
DOI
10.5194/isprs-annals-X-4-W1-2022-669-2023
language
English
LU publication?
yes
id
77b3c2fa-d605-4af4-96f5-749d73b58540
date added to LUP
2023-02-13 09:14:42
date last changed
2023-02-13 09:14:42
@inproceedings{77b3c2fa-d605-4af4-96f5-749d73b58540,
  abstract     = {{<p>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.</p>}},
  author       = {{Sahraei, R. and Ghorbanian, A. and Kanani-Sadat, Y. and Jamali, S. and Homayouni, S.}},
  booktitle    = {{Edit ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}},
  keywords     = {{Best Worst Method; GIS; Mangrove; Multi Criteria Decision Making; Plantation Allocation; Remote Sensing}},
  language     = {{eng}},
  pages        = {{669--675}},
  title        = {{IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING}},
  url          = {{http://dx.doi.org/10.5194/isprs-annals-X-4-W1-2022-669-2023}},
  doi          = {{10.5194/isprs-annals-X-4-W1-2022-669-2023}},
  volume       = {{10}},
  year         = {{2023}},
}