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Towards the Estimation of Tree Biomass Changes in the Sparse Subarctic Forests Using Stereo WorldView 3 Images and Historical Aerial Photographs

机译:在使用立体世界观3图像和历史航天照片估算稀疏蛛网星力学林中的树生物量变化

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Subarctic forests are open woodlands sparsely populated by small trees having narrow crowns. They cover, in Canada alone, an area of more than 2.5 million km~2. Spread between the 50th and 70th northern parallels, these forests fall within the regions that are experiencing some of the greatest climate change that will likely induce variations in forest biomass. These changes could go undocumented due to the high costs of data acquisition in such remote areas of Canada. Airborne surveys (photo or lidar) are logistically difficult, and conventional remote sensing based on 2D satellite images (e.g., Landsat) lacks accuracy. Our goals are therefore to use new very high resolution satellite stereo images (31 cm pixels) to reconstruct 3D models of subarctic forests, and use historical stereo aerial photos acquired since the 1950s to create similar 3D models representing the structure of these forests in the past. In this study, we have reconstructed a digital terrain model (DTM) using stereo measurements on WorldView 3 images of sparsely wooded areas. We then performed similar stereo measurements on the top of trees and calculated their height by subtracting DTM elevations. These height measurements were in good agreement with reference data, and can afterward be used to estimate tree biomass. Similar measurements will be performed on historical aerial photographs, and the tree biomass changes, as a function of tree height and number of trees, will be estimated.
机译:亚神森林是开放的林地被狭窄的小树木稀疏地填充着窄冠。他们覆盖在加拿大,一个面积超过250万公里〜2。这些森林在50和70th北方的北方平方之间传播,这些森林在经历了一些最大的气候变化的地区,这可能会导致森林生物量的变化。由于加拿大此类偏远地区的数据采集的高成本,这些变化可能会没有。空中调查(照片或LIDAR)是逻辑上困难的,并且基于2D卫星图像(例如,Landsat)的传统遥感缺乏准确性。因此,我们的目标是利用新的非常高分辨率的卫星立体图像(31厘米像素)来重建蛛网星力学森林的3D模型,并使用20世纪50年代以来获得的历史立体空中照片来创建类似于过去这些森林结构的类似3D模型。在这项研究中,我们使用立体声测量来重建数字地形模型(DTM)在WorldView 3稀疏树木繁茂的区域的图像上进行立体测量。然后,我们在树顶上进行了类似的立体测量并通过减去DTM升降来计算它们的高度。这些高度测量与参考数据吻合良好,之后可以用于估计树生物质。将在历史空中照片上进行类似的测量,并且将估计树木生物量变化,作为树高度和树木数量的函数。

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