Dynamic Analysis of Mangrove Forests Based on an Optimal Segmentation Scale Model and Multi-Seasonal Images in Quanzhou Bay, China
Dynamic Analysis of Mangrove Forests Based on an Optimal Segmentation Scale Model and Multi-Seasonal Images in Quanzhou Bay, China
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DOI：
10.3390/rs10122020
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
Chunyan Lu;Jin-fu Liu;M. Jia;Mingyue Liu;W. Man;Weiwei Fu;Lianxiu Zhong;Xiaoqing Lin;Ying Su-Y
中科院分区：
文献类型：
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作者：
Chunyan Lu;Jin-fu Liu;M. Jia;Mingyue Liu;W. Man;Weiwei Fu;Lianxiu Zhong;Xiaoqing Lin;Ying Su-Y
红树林是重要的沿海生态系统，对全球碳循环的平衡至关重要。对红树林的监测和绘图对于政府和管理人员制定以知识为基础的养护政策和供资决定至关重要。对泉州湾河口湿地自然保护区的红树林进行动态监测。为了实现这一目标，我们使用1990年，1997年，2005年，2010年和2017年的多季Landsat图像，比较和分析了红树林，泥滩和米草之间的光谱分辨率。结合基于面向对象分类的最优分割尺度模型、决策树和目视解译，识别了红树林的时空分布。此外，结合土地年变化面积、质心迁移和叠置分析，确定了红树林的动态。结果表明，本研究所采用的监测方法在监测红树林方面具有一定的优势。从1990年到2017年，红树林的面积增加了2.48平方公里，主要是由泥滩和米草转化而来。气候变化和海平面上升、水产养殖发展和米草入侵等环境威胁对红树林的生存和扩展构成潜在和直接的威胁。然而，重新造林项目的实施和米草属的控制在红树林的扩张中发挥了重要作用。研究表明，保护活动有利于红树林的恢复和演替。这项研究提供了一个例子，如何应用最佳分割尺度模型和多季节图像的红树林监测可以促进政府的政策，确保有效保护红树林。
Mangrove forests are important coastal ecosystems and are crucial for the equilibrium of the global carbon cycle. Monitoring and mapping of mangrove forests are essential for framing knowledge-based conservation policies and funding decisions by governments and managers. The purpose of this study was to monitor mangrove forest dynamics in the Quanzhou Bay Estuary Wetland Nature Reserve. To achieve this goal, we compared and analyzed the spectral discrimination among mangrove forests, mudflats and Spartina using multi-seasonal Landsat images from 1990, 1997, 2005, 2010, and 2017. We identified the spatio-temporal distribution of mangrove forests by combining an optimal segmentation scale model based on object-oriented classification, decision tree and visual interpretation. In addition, mangrove forest dynamics were determined by combining the annual land change area, centroid migration and overlay analysis. The results showed that there were advantages in the approaches used in this study for monitoring mangrove forests. From 1990 to 2017, the extent of mangrove forests increased by 2.48 km2, which was mostly converted from mudflats and Spartina. Environmental threats including climate change and sea-level rise, aquaculture development and Spartina invasion, pose potential and direct threats to the existence and expansion of mangrove forests. However, the implementation of reforestation projects and Spartina control plays a substantial role in the expansion of mangrove forests. It has been demonstrated that conservation activities can be beneficial for the restoration and succession of mangrove forests. This study provides an example of how the application of an optimal segmentation scale model and multi-seasonal images to mangrove forest monitoring can facilitate government policies that ensure the effective protection of mangrove forests.