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An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia

机译:Matang Mangrove森林储备Matang Mangrove森林储备利用土地森林早期再生分析,马来西亚

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摘要

Time series of satellite sensor data have been used to quantify mangrove cover changes at regional and global levels. Although mangrove forests have been monitored using remote sensing techniques, the use of time series to quantify the regeneration of these forests still remains limited. In this study, we focus on the Matang Mangrove Forest Reserve (MMFR) located in Peninsular Malaysia, which has been under silvicultural management since 1902 and provided the opportunity to investigate the use of Landsat annual time series (1988–2015) for (i) detecting clear-felling events that take place in the reserve as part of the local management, and (ii) tracing back and quantifying the early regeneration of mangrove forest patches after clear-felling. Clear-felling events were detected for each year using the Normalized Difference Moisture Index (NDMI) derived from single date (cloud-free) or multi-date composites of Landsat sensor data. From this series, we found that the average period for the NDMI to recover to values observed prior to the clear-felling event between 1988 and 2015 was 5.9 ± 2.7 years. The maps created in this study can be used to guide the replantation strategies, the clear-felling planning, and the management and monitoring activities of the MMFR.
机译:时间序列卫星传感器数据已被用来量化在区域和全球各级红树林覆盖的变化。虽然红树林已经利用遥感技术监测,运用时间序列来量化这些森林仍然有限的再生。在这项研究中,我们侧重于马塘红树林保护区(MMFR)位于马来西亚半岛,自1902年以来已根据造林的管理和提供的机会,探讨利用陆地卫星年时间序列(2088至15年)(一)检测发生在储备作为本地管理的一部分明确砍伐的事件,和(ii)追溯的和明确的采伐后定量红树林的补丁的早期再生。每年使用的归一化从单一日期陆地卫星传感器数据的(无云)或多最新的复合材料衍生水分指数(NDMI)用于检测清除砍伐事件。从这个系列中,我们发现,对于NDMI恢复至值平均周期观察之前1988年和2015年之间的明确的砍伐事件为5.9±2.7年。在这项研究中创建的地图可以用来指导再植战略,明确砍伐的规划,管理和MMFR的监测活动。

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