2005-2018年越南清化省红树林面积划分方法及变化驱动因素

IF 1.7 Q2 FORESTRY
Hai H. Nguyen, Nghia Huu Nghia, Hien Thi Thu Nguyen, An Thanh Le, L. Tran, L. Duong, S. Bohm, M. Furniss
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引用次数: 13

摘要

红树林在防止海岸侵蚀、减轻波浪作用的影响以及保护沿海栖息地和邻近的海岸线土地用途免受极端海岸事件的影响方面具有重要作用,已在全球得到认可。然而,由于人口的快速增长、集约化养殖以及清化省Hau Loc和Nga Son地区强风暴强度的增加,这些功能正受到严重威胁。本研究利用2005年至2018年的Landsat和Sentinel图像监测红树林面积的时空变化。通过对非监督和监督分类方法以及植被指数的测试,选择最适合研究点的分类方法,量化红树林范围及其在选定年份的变化。结果表明,与植被指数和非监督分类相比,监督分类最适合于研究点。2005 - 2010年、2010 - 2015年和2015 - 2018年期间,红树林面积分别增加了7.5%、38.6%和47.8%。2005年至2018年期间,由于国家红树林恢复和恢复计划,红树林面积增加了278.0公顷(123.0%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification Methods for Mapping Mangrove Extents and Drivers of Change in Thanh Hoa Province, Vietnam during 2005-2018
Mangrove forests have been globally recognised as their vital functions in preventing coastal erosion, mitigating effects of wave actions and protecting coastal habitats and adjacent shoreline land-uses from extreme coastal events. However, these functions are under severe threats due to the rapid growth of population, intensive shrimp farming and the increased intensity of severe storms in Hau Loc and Nga Son districts, Thanh Hoa province. This research was conducted to monitor spatial-temporal changes in mangrove extents using Landsat and Sentinel imageries from 2005 to 2018. Unsupervised and supervised classification methods and vegetation indices were tested to select the most suitable classification method for study sites, then to quantify mangrove extents and their changes in selected years. The findings show that supervised classification was the most suitable in study sites compared to vegetation indices and unsupervised classification. Mangrove forest extents increased by 7.5 %, 38.6 %, and 47.8 % during periods of 2005 - 2010, 2010 - 2015 and 2015 - 2018, respectively. An increase of mangrove extents resulted from national programs of mangrove rehabilitation and restoration during 2005- 2018, increased by 278.0 ha (123.0 %).
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来源期刊
Forest and Society
Forest and Society FORESTRY-
CiteScore
4.60
自引率
35.30%
发文量
37
审稿时长
23 weeks
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