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UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam

机译:越南Ngoc Linh自然保护区雨林结构评估雨林结构的申请

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Classifying and evaluating the structure of tropical forest plant biomes based on up-to-date remote sensing data, remains a great challenge due to the species diversity, changes in the stages of seasonal growth. Remote sensing has long been a useful tool for classification and assessment of vegetation. For data from unmanned aerial vehicles (UAVs), the ability to receive high-resolution data also partly solves this problem. The development of vegetation based on natural conditions includes: topographic, geomorphology, geologic conditions, climate, human impacts. Based on the red-green-blue colour model (RGB) obtained from UAV, analysis of VARI (visible atmospherically resistant Index) and TGI (triangulation greenness index), combined with the development characteristics of each group and type of biomes on different topography and geologic types, the researchers were able to give some characteristics of some tropical forest vegetation in Ngoc Linh Nature Reserve, Kon Tum province, Vietnam.
机译:基于最新遥感数据的热带森林植物生物群系的结构,仍然是由于物种多样性,季节性增长阶段的变化仍然存在巨大挑战。遥感长期以来一直是对植被分类和评估的有用工具。对于来自无人驾驶飞行器(无人机)的数据,接收高分辨率数据的能力也可以解决这个问题。基于自然条件的植被的发展包括:地形,地貌,地质条件,气候,人体影响。基于从无人机获得的红绿蓝色模型(RGB),Vari(可见大气抗性指数)和TGI(三角旋转绿色指数)的分析,结合各组的开发特性和不同地形和不同形貌的生物体类型地质类型,研究人员能够在Ngoc Linh Nature Reserve,越南Kon Cut省的一些热带森林植被的一些特征。

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