Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach

Mangroves are very well known for their contribution to wildlife, human and ecosystem. Mangroves provide habitat, food, medicine and building material make them so valuable and important. However, despite all the benefits they offer, mangroves are being threatened all over the world. Mangrove loss a...

Full description

Bibliographic Details
Published in:Concepts and Applications of Remote Sensing in Forestry
Main Author: Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
Format: Book chapter
Language:English
Published: Springer Nature 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163559523&doi=10.1007%2f978-981-19-4200-6_14&partnerID=40&md5=2a961cb4e293f4e44c6ed4dd3305e01f
id 2-s2.0-85163559523
spelling 2-s2.0-85163559523
Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
2023
Concepts and Applications of Remote Sensing in Forestry


10.1007/978-981-19-4200-6_14
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163559523&doi=10.1007%2f978-981-19-4200-6_14&partnerID=40&md5=2a961cb4e293f4e44c6ed4dd3305e01f
Mangroves are very well known for their contribution to wildlife, human and ecosystem. Mangroves provide habitat, food, medicine and building material make them so valuable and important. However, despite all the benefits they offer, mangroves are being threatened all over the world. Mangrove loss and deforestation have become a worldwide issue. The destruction and replacement of mangrove forests spread widely for various reasons. This study focuses on determining the effect of environmental parameters towards mangrove areas. Three indicators were taken as a primary parameter in this study. Those parameters were tidal regime, wind intensity and relative sea level. The three information were obtained from Forest Research Institute Malaysia (FRIM), Forestry Department Peninsular Malaysia (FDIM) and Malaysian Meteorological Department (MMD) as well as from previous studies. The study area for this research covered the east and west coast of Malaysia. For the east coast was Chendering in Terengganu, whereas for the west coast was Kuala Perlis in Perlis. The detection of mangrove areas was performed using Landsat 5 TM and Landsat 8 OLI satellite imageries in PCI Geomatica 2013 software. The process of determining the mangrove area was done using supervised classification with maximum likelihood classifier and supported with site verification. The area covered was 5 km × 5 km per image or 25 km2 with the range period of 10 years from 2005 to 2015, and the satellite images selected were in the years of 2005, 2010 and 2015. The changes of mangrove areas were determined. Chendering mangrove areas increased 3243 m2 during 2005–2015, while in Kuala Perlis mangrove increased 1892 m2 during the same period. The relationships between tidal regime, relative sea level and wind intensity were analysed based on the results from mangrove area changes that was obtained through supervised classification and correlation analysis. The final result shows several responses that accomplished the objectives of this study. The classification processing for the mangrove area was successfully acquired with more than 85% accuracy. The mangrove areas have shown some changes during the years of 2005, 2010 and 2015. © Springer Nature Singapore Pte Ltd. 2022.
Springer Nature

English
Book chapter

author Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
spellingShingle Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
author_facet Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
author_sort Sahriman N.; Asmat A.; Ruslan F.A.; Maarof I.; Samad A.M.
title Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
title_short Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
title_full Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
title_fullStr Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
title_full_unstemmed Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
title_sort Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area Using Remote Sensing Approach
publishDate 2023
container_title Concepts and Applications of Remote Sensing in Forestry
container_volume
container_issue
doi_str_mv 10.1007/978-981-19-4200-6_14
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163559523&doi=10.1007%2f978-981-19-4200-6_14&partnerID=40&md5=2a961cb4e293f4e44c6ed4dd3305e01f
description Mangroves are very well known for their contribution to wildlife, human and ecosystem. Mangroves provide habitat, food, medicine and building material make them so valuable and important. However, despite all the benefits they offer, mangroves are being threatened all over the world. Mangrove loss and deforestation have become a worldwide issue. The destruction and replacement of mangrove forests spread widely for various reasons. This study focuses on determining the effect of environmental parameters towards mangrove areas. Three indicators were taken as a primary parameter in this study. Those parameters were tidal regime, wind intensity and relative sea level. The three information were obtained from Forest Research Institute Malaysia (FRIM), Forestry Department Peninsular Malaysia (FDIM) and Malaysian Meteorological Department (MMD) as well as from previous studies. The study area for this research covered the east and west coast of Malaysia. For the east coast was Chendering in Terengganu, whereas for the west coast was Kuala Perlis in Perlis. The detection of mangrove areas was performed using Landsat 5 TM and Landsat 8 OLI satellite imageries in PCI Geomatica 2013 software. The process of determining the mangrove area was done using supervised classification with maximum likelihood classifier and supported with site verification. The area covered was 5 km × 5 km per image or 25 km2 with the range period of 10 years from 2005 to 2015, and the satellite images selected were in the years of 2005, 2010 and 2015. The changes of mangrove areas were determined. Chendering mangrove areas increased 3243 m2 during 2005–2015, while in Kuala Perlis mangrove increased 1892 m2 during the same period. The relationships between tidal regime, relative sea level and wind intensity were analysed based on the results from mangrove area changes that was obtained through supervised classification and correlation analysis. The final result shows several responses that accomplished the objectives of this study. The classification processing for the mangrove area was successfully acquired with more than 85% accuracy. The mangrove areas have shown some changes during the years of 2005, 2010 and 2015. © Springer Nature Singapore Pte Ltd. 2022.
publisher Springer Nature
issn
language English
format Book chapter
accesstype
record_format scopus
collection Scopus
_version_ 1809677683861225472