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UAV-based remote sensing for vegetation cover estimation using NDVI imagery and level sets method

机译:基于NDVI影像和水平集方法的基于无人机的植被覆盖率遥感估算

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Vegetation is a key component of nearly all global ecosystems, having a role of regulating various biogeochemical cycles in nature, as well as maintaining the energy balance at the earth's surface and atmospheric boundary layer. Therefore, it is of wide importance to constantly monitor the changes in vegetation cover and structure, especially those that are due to human influence. Backed up by many global initiatives for vegetation preservation and monitoring, it is necessary to have a system to collect and analyse different vegetation indices and products. One of the most important parameters of calculating many of these indices, is the amount of the vegetation cover in a certain area. This paper proposes a compact system for estimating vegetation in a certain area. The proposed system consists of a small UAV platform with the ability of performing autonomous flights and recording the videos of the ground cover using a camera with a modified infrared filter lens for obtaining the composite NDVI videos. The video is analysed and processed to extract the most significant frames that form a mosaic representing the area recorded by the camera. Finally, a contour is calculated forming the boundary around the area on the mosaic image that contains pixels that represent vegetation or photosynthetic activity. The contour and the area inside the boundary can be used for segmentation and estimation of other vegetation indices.
机译:植被是几乎所有全球生态系统的关键组成部分,具有调节自然界各种生物地球化学循环以及维持地球表面和大气边界层能量平衡的作用。因此,不断监测植被覆盖和结构的变化,特别是由于人为影响而引起的变化,具有十分重要的意义。在许多保护和监测植被的全球倡议的支持下,有必要建立一个收集和分析不同植被指数和产品的系统。计算这些指标中最重要的参数之一是某个区域的植被覆盖量。本文提出了一种用于估计特定区域植被的紧凑系统。拟议的系统由一个小型无人机平台组成,该平台能够执行自主飞行并使用带有改进的红外滤光镜的摄像机记录地面覆盖物的视频,以获取复合NDVI视频。对视频进行分析和处理,以提取出最重要的帧,这些帧形成了代表摄像头记录区域的马赛克。最终,计算出一个轮廓,该轮廓在镶嵌图像上的区域周围形成边界,该区域包含代表植被或光合作用活动的像素。边界内的轮廓和面积可用于分割和估计其他植被指数。

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