Aerial LiDAR data offers a valuable tool in locating ancient anthropogenic landscapes around the world. This technology is particularly ideal in places where thick vegetation obscures the ground surface, reducing the utility of satellite imagery. On the islands of American Samoa, many interior anthropogenic landscapes remain unsurveyed, largely because the terrain makes it difficult and there is only general knowledge of where the anthropogenic modification may have existed. Aerial LiDAR flown in 2012 is proving to be a valuable tool in locating these prehistoric anthropogenic areas, yet improvements can be made on the methodology. This paper provides an unsupervised classification method to identify anthropogenic landscapes based on slope and hypsometric index: a topographic measure of roughness. Areas of American Samoa with known anthropogenic modifications were used to develop the classification techniques, which were then extended to areas where anthropogenic landscapes are undocumented and unexplored. The findings presented here suggest that interior anthropogenic patterns may be strongly dependent on island topography.

中文翻译：

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使用无监督分类技术和测压指数来识别整个美属萨摩亚的人为景观

LiDAR航空数据提供了宝贵的工具，可用于定位世界各地的古代人为景观。这项技术特别适用于茂密的植被遮盖地面的地方，从而降低了卫星图像的实用性。在美属萨摩亚群岛上，许多内部人为景观仍然无法测量，这主要是因为地形使之变得困难，并且仅对可能存在人为因素的地方有了一般的认识。事实证明，2012年飞行的LiDAR飞机是定位这些史前人为区域的宝贵工具，但可以对方法进行改进。本文提供了一种无监督的分类方法，该方法基于坡度和水压指数（粗糙度的地形度量）来识别人为景观。美属萨摩亚具有已知的人为因素的地区被用于发展分类技术，然后将其扩展到未记录和未探讨人为因素的地区。此处提出的发现表明，内部人为模式可能强烈依赖于岛屿的地形。