While airborne laser scanning (ALS) data is a key resource for studying afforested landscapes, other datasets are essential to understanding the character of surveyed areas, and for assessing the reliability of the remote sensed data interpretation. This article presents results of such assessment based on the analysis of contemporary forestry data and historic maps for a study area located south of Polanów, Poland, which was subject of bespoke ALS survey. Forestry data and historic maps were initially used to plan ALS data collection, and thereafter to assess data quality and bias. As a result, the longevity and patterning of afforestation were determined and these correlate with the outputs of interpretative mapping together offering a benchmark methodology for identifying survival zones for prehistoric and early medieval earthworks beyond the extents of early and late modern cultivation. In addition, the data characteristics discussed in this article demonstrate the importance of data analysis and survey methodology to inform the understanding of potential bias in the outputs of ALS surveys of afforested landscapes. By understanding this phenomenon at a local scale, the reliability of the data can be estimated. Given the nationwide availability of forestry data across Europe, as well as extensive coverage of historic maps, the results discussed in this article have a general application. Focusing on areas with the highest survival potential can lead to immediate discovery of premodern monuments, and hence prevent them from extensive, forestry management related, destruction.

中文翻译：

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造林需要各种树木。使用历史地图和林业数据为基于机载激光扫描的林地考古勘探提供信息

机载激光扫描（ALS）数据是研究绿化景观的关键资源，而其他数据集对于理解被调查区域的特征以及评估遥感数据解释的可靠性至关重要。本文基于对波兰Polanów南部研究区域的当代林业数据和历史地图的分析，提出了这种评估的结果，该研究区域是定制ALS调查的主题。林业数据和历史地图最初用于计划ALS数据收集，然后用于评估数据质量和偏差。结果是，确定了造林的寿命和模式，并将它们与解释性制图的输出相关联，共同为确定史前和中世纪早期土方工程的生存区提供了一种基准方法学，其范围超出了早期和晚期现代耕作的范围。此外，本文讨论的数据特征证明了数据分析和调查方法的重要性，这有助于了解对绿化景观的ALS调查输出中潜在的偏见。通过局部了解这种现象，可以估计数据的可靠性。考虑到整个欧洲在全国范围内可获得的林业数据以及历史地图的广泛覆盖，本文讨论的结果具有普遍的应用前景。