Ngo Dung Trung
Institute of Tropical Ecology, Joint Vietnam-Russia Tropical Science and Technology Research Center, № 63, Nguyen Van Huyen Str., Cau Giay District, Hanoi, Viet Nam.
Heliyon. 2024 Jul 25;10(15):e35159. doi: 10.1016/j.heliyon.2024.e35159. eCollection 2024 Aug 15.
Wetlands provide resources, regulate the environment, and stabilize shorelines; however, they are among the most vulnerable ecosystems in the world. The classification of mangrove species allows the determination of the habitat of each species, thereby serving as a basis for determining protection solutions and planning plans for mangrove conservation and restoration according to each environmental condition. We used Phantom 4 multispectral unmanned aerial vehicles (UAVs) to collect data from wetland areas in the Dong Rui Commune, which is one of the most diverse and valuable wetland ecosystems in northern Vietnam. A tree-species classification map was constructed through a combination of the object-based image analysis method and spectral reflectance values of each plant species, and the characteristic distributions of mangrove plants, including , and , were determined with an overall accuracy of 91.11 % and a kappa coefficient (K) of 0.87. The overall accuracy for was the highest (94.23 %), followed by (93.61 %) and (85.50 %). An experiment was conducted to map plant taxonomy in the same area based only on a graph of spectral reflectance values at five single-spectral bands, and normalized difference vegetation index values were constructed, resulting in an overall accuracy of 78.22 % and a K of 0.67. The constructed map is useful for classifying, monitoring, and evaluating the structure of each group of mangroves, thereby serving as a basis for determining the distribution of each mangrove species according to natural conditions and contributing to the formulation of policies for afforestation and mangrove conservation in Dong Rui commune.
湿地提供资源、调节环境并稳定海岸线；然而，它们是世界上最脆弱的生态系统之一。红树林物种的分类有助于确定每个物种的栖息地，从而为根据每种环境条件确定红树林保护和恢复的解决方案及规划计划提供依据。我们使用大疆精灵4多光谱无人机从越南北方最多样化且最具价值的湿地生态系统之一的东瑞公社的湿地地区收集数据。通过基于对象的图像分析方法与每种植物物种的光谱反射率值相结合，构建了树种分类图，并确定了红树林植物的特征分布，包括[此处原文缺失具体物种信息]，总体准确率为91.11%，卡帕系数（K）为0.87。[此处原文缺失具体物种信息]的总体准确率最高（94.23%），其次是[此处原文缺失具体物种信息]（93.61%）和[此处原文缺失具体物种信息]（85.50%）。进行了一项实验，仅基于五个单光谱波段的光谱反射率值图绘制同一地区的植物分类，构建了归一化差异植被指数值，总体准确率为78.22%，K为0.67。所构建的地图有助于对每组红树林的结构进行分类、监测和评估，从而为根据自然条件确定每种红树林物种的分布提供依据，并有助于制定东瑞公社的造林和红树林保护政策。
