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Evaluating High-Resolution Aerial Photography Acquired by Unmanned Aerial Systems for Use in Mapping Everglades Wetland Plant Associations

机译:评估无人机系统获取的高分辨率航空摄影用于绘制大沼泽地湿地植物协会

摘要

Mapping of vegetation patterns over large extents using remote sensing methods requires field sample collections for two different purposes: (1) the establishment of plant association classification systems from samples of relative abundance estimates; and (2) training for supervised image classification and accuracy assessment of satellite data derived maps. One challenge for both procedures is the establishment of confidence in results and the analysis across multiple spatial scales. Continuous data sets that enable cross-scale studies are very time consuming and expensive to acquire and such extensive field sampling can be invasive. The use of high resolution aerial photography (hrAP) offers an alternative to extensive, invasive, field sampling and can provide large volume, spatially continuous, reference information that can meet the challenges of confidence building and multi-scale analysis.
机译:使用遥感方法在大范围内绘制植被格局图需要出于两个不同目的的现场样本收集:(1)从相对丰度估计的样本中建立植物协会分类系统; (2)进行卫星图像衍生地图的监督图像分类和准确性评估的培训。这两种方法的挑战之一是要建立对结果的信心,并要在多个空间尺度上进行分析。能够进行跨规模研究的连续数据集非常耗时且昂贵,而且这种大规模的野外采样可能具有侵入性。高分辨率航空摄影(hrAP)的使用提供了一种广泛的,有创的野外采样的替代方法,并且可以提供大量,空间连续的参考信息,可以应对建立信任和进行多尺度分析的挑战。

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