Using unsupervised classification techniques and the hypsometric index to identify anthropogenic landscapes throughout American Samoa
Using unsupervised classification techniques and the hypsometric index to identify anthropogenic landscapes throughout American Samoa
复制标题
使用无监督分类技术和测高指数来识别整个美属萨摩亚的人类景观
DOI：
10.15286/jps.127.1.55-72
复制
发表时间：
2018
影响因子：
0.6
通讯作者：
Stephanie S. Day
中科院分区：
文献类型：
--
作者：
Stephanie S. Day
航空激光雷达数据为定位世界各地的古代人类景观提供了宝贵的工具。该技术在茂密植被遮挡地表、降低卫星图像效用的地方特别理想。在美属萨摩亚群岛上，许多内陆人类活动景观仍未得到调查，主要是因为地形使调查变得困难，而且人们对可能存在人为改变的地方只有一般了解。 2012 年飞行的空中 LiDAR 被证明是定位这些史前人类活动区域的宝贵工具，但方法还可以进行改进。本文提供了一种基于坡度和测高指数（粗糙度的地形测量）来识别人类景观的无监督分类方法。美属萨摩亚具有已知人为改变的地区被用来开发分类技术，然后将其扩展到未记录和未开发人为景观的地区。这里提出的研究结果表明，内部人为模式可能强烈依赖于岛屿地形。
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.