IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING
(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.
(Less)
- author
- Sahraei, R. LU ; Ghorbanian, A. LU ; Kanani-Sadat, Y. ; Jamali, S. LU and Homayouni, S.
- organization
- publishing date
- 2023
- 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}}, }