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首页> 外文期刊>Journal of Applied Remote Sensing >Mapping land cover and estimating forest structure using satellite imagery and coarse resolution lidar in the Virgin Islands
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Mapping land cover and estimating forest structure using satellite imagery and coarse resolution lidar in the Virgin Islands

机译：在维尔京群岛使用卫星图像和粗糙分辨率的激光雷达绘制土地覆盖图并估算森林结构

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Current information on land cover, forest type and forest structure for the Virgin Islands is critical to land managers and researchers for accurate forest inventory and ecological monitoring. In this study, we use cloud free image mosaics of panchromatic sharpened Landsat ETM+ images and decision tree classification software to map land cover and forest type for the Virgin Islands, illustrating a low cost, repeatable mapping approach. Also, we test if coarse-resolution discrete lidar data that are often collected in conjunction with digital orthophotos are useful for mapping forest structural attributes. This approach addresses the factors that affect vegetation distribution and structure by testing if environmental variables can improve regression models of forest height and biomass derived from lidar data. The overall accuracy of the 29 forest and non-forest classes is 72percent, while most the forest types are classified with greater than 70percent accuracy. Due to the large point spacing of this lidar dataset, it is most appropriate for height measurements of dominant and co-dominant trees (R~(2) velence 72percent) due to its inability to accurately represent forest understory. Above ground biomass per hectare is estimated by its direct relationship with plot canopy height (R~(2) velence 0.72percent).
机译：维尔京群岛有关土地覆盖，森林类型和森林结构的最新信息对于土地管理者和研究人员进行准确的森林清查和生态监测至关重要。在这项研究中，我们使用全色锐化的Landsat ETM +图像的无云图像马赛克和决策树分类软件来绘制维尔京群岛的土地覆盖率和森林类型，从而说明了一种低成本，可重复的映射方法。此外，我们测试了通常与数字正射影像结合使用的粗分辨率离散激光雷达数据是否可用于绘制森林结构属性。该方法通过测试环境变量是否可以改善从激光雷达数据得出的森林高度和生物量的回归模型来解决影响植被分布和结构的因素。 29种森林和非森林类别的总体准确度为72％，而大多数森林类型的分类准确度均超过70％。由于该激光雷达数据集的点间距较大，因此由于其无法准确表示森林林下情况，因此最适合于优势树和共优势树的高度测量（R〜（2）velence 72％）。每公顷地上生物量通过其与地块冠层高度（R〜（2）velence 0.72％）的直接关系来估算。

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