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Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach

机译:映射红树林生态系统中的遥感:基于对象的方法

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摘要

Over the past few decades, clearing for shrimp farming has caused severe losses of mangroves in the Mekong Delta (MD) of Vietnam. Although the increasing importance of shrimp aquaculture in Vietnam has brought significant financial benefits to the local communities, the rapid and largely uncontrolled increase in aquacultural area has contributed to a considerable loss of mangrove forests and to environmental degradation. Although different approaches have been used for mangrove classification, no approach to date has addressed the challenges of the special conditions that can be found in the aquaculture-mangrove system in the Ca Mau province of the MD. This paper presents an object-based classification approach for estimating the percentage of mangroves in mixed mangrove-aquaculture farming systems to assist the government to monitor the extent of the shrimp farming area. The method comprises multi-resolution segmentation and classification of SPOT5 data using a decision tree approach as well as local knowledge from the region of interest. The results show accuracies higher than 75% for certain classes at the object level. Furthermore, we successfully detect areas with mixed aquaculture-mangrove land cover with high accuracies. Based on these results, mangrove development, especially within shrimp farming-mangrove systems, can be monitored. However, the mangrove forest cover fraction per object is affected by image segmentation and thus does not always correspond to the real farm boundaries. It remains a serious challenge, then, to accurately map mangrove forest cover within mixed systems.
机译:在过去的几十年中,对虾养殖的清理在越南的湄公河三角洲(MD)造成了红树林的严重损失。尽管越南对虾养殖的重要性日益提高,给当地社区带来了可观的经济利益,但水产养殖面积的迅速且很大程度上不受控制的增长造成了红树林的大量损失和环境退化。尽管对红树林的分类采用了不同的方法,但迄今为止,尚无方法解决MD州卡茂省水产养殖-红树林系统中特殊条件的挑战。本文提出了一种基于对象的分类方法,用于估计红树林-水产养殖混合养殖系统中红树林的百分比,以协助政府监测虾类养殖面积。该方法包括使用决策树方法以及来自感兴趣区域的本地知识对SPOT5数据进行多分辨率分割和分类。结果显示,在对象级别上,某些类别的准确性高于75%。此外,我们成功地检测出高精度的水产养殖与红树林混合土地覆盖的区域。基于这些结果,可以监测红树林的发展,特别是在虾类养殖-红树林系统内。但是,每个对象的红树林覆盖率受图像分割的影响,因此并不总是对应于真实的农场边界。因此,在混合系统中准确绘制红树林覆盖率仍然是一个严峻的挑战。

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