{"title":"Estimation and Analysis of Change Detection, Forest Canopy Density, and Forest Fragmentation: A Case Study of the Indian Sundarbans","authors":"K. Kundu, P. Halder, J. K. Mandal","doi":"10.1080/10549811.2022.2059515","DOIUrl":null,"url":null,"abstract":"ABSTRACT In this paper, satellite imagery is classified into four categories using the fuzzy c-means algorithm of the Indian Sundarbans due to its forest density changes. The categories are dense forest, sparse forest, water bodies, and wetlands. The study reveals that net forest areas declined by 3.75% from 932 km2 in 1975 to 847 km2 in 2018 and the rate of deforestation was 1.96 km2 year−1. The correlation statistic shows that the deforested areas were converted to wetland and water bodies. The results of the forest canopy density (FCD) model show that areas, with canopy density of 60–100% gradually declined from 42% (939 km2) in 1975 to 36% (814 km2) in 2018. Moreover, we also observed that maximum canopy density was >80% in 1990 and 60–80% in 1975. The results of the forest fragmentation model show that forest patch and edge areas progressively increased by 253% and 28%, respectively, while perforated forest areas slowly decreased with 11%. We find that most forest fragmentation happened in patch, edge, perforated, and core forest with an area >4 km2. Therefore, this study may be helpful in monitoring land cover changes of the Indian Sundarbans for sustainable mangrove forests.","PeriodicalId":54313,"journal":{"name":"Journal of Sustainable Forestry","volume":"42 1","pages":"624 - 639"},"PeriodicalIF":1.2000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Forestry","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10549811.2022.2059515","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT In this paper, satellite imagery is classified into four categories using the fuzzy c-means algorithm of the Indian Sundarbans due to its forest density changes. The categories are dense forest, sparse forest, water bodies, and wetlands. The study reveals that net forest areas declined by 3.75% from 932 km2 in 1975 to 847 km2 in 2018 and the rate of deforestation was 1.96 km2 year−1. The correlation statistic shows that the deforested areas were converted to wetland and water bodies. The results of the forest canopy density (FCD) model show that areas, with canopy density of 60–100% gradually declined from 42% (939 km2) in 1975 to 36% (814 km2) in 2018. Moreover, we also observed that maximum canopy density was >80% in 1990 and 60–80% in 1975. The results of the forest fragmentation model show that forest patch and edge areas progressively increased by 253% and 28%, respectively, while perforated forest areas slowly decreased with 11%. We find that most forest fragmentation happened in patch, edge, perforated, and core forest with an area >4 km2. Therefore, this study may be helpful in monitoring land cover changes of the Indian Sundarbans for sustainable mangrove forests.
期刊介绍:
Journal of Sustainable Forestry publishes peer-reviewed, original research on forest science. While the emphasis is on sustainable use of forest products and services, the journal covers a wide range of topics from the underlying biology and ecology of forests to the social, economic and policy aspects of forestry. Short communications and review papers that provide a clear theoretical, conceptual or methodological contribution to the existing literature are also included in the journal.
Common topics covered in the Journal of Sustainable Forestry include:
• Ecology, management, recreation, restoration and silvicultural systems of all forest types, including urban forests
• All aspects of forest biology, including ecophysiology, entomology, pathology, genetics, tree breeding, and biotechnology
• Wood properties, forest biomass, bioenergy, and carbon sequestration
• Simulation modeling, inventory, quantitative methods, and remote sensing
• Environmental pollution, fire and climate change impacts, and adaptation and mitigation in forests
• Forest engineering, economics, human dimensions, natural resource policy, and planning
Journal of Sustainable Forestry provides an international forum for dialogue between research scientists, forest managers, economists and policy and decision makers who share the common vision of the sustainable use of natural resources.