Accurate mapping for effective management of peat soils is necessary to help reduce GHG emissions and improve environmental quality. However, mapping remains a major challenge as definitions of peat soils vary substantially between jurisdictions and organizations, while field data are sparse and difficult to produce, and remote sensing of limited use for converted peatlands. Using an Adaptive Mapping Framework, this paper compiles disparate data sources to update the Derived Irish Peat Map to better facilitate its application for environmental issues. This includes incorporation of areas considered to be underlain by shallow peat soils (≥ 10 cm and ≥ 8.6 % Organic Matter content), and augmentation of the overall test dataset with an additional ∼ 20,000 points.

中文翻译：

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泥炭土管理的自适应制图框架：新的爱尔兰泥炭土地图


准确绘制地图以有效管理泥炭土对于减少温室气体排放和改善环境质量至关重要。然而，制图仍然是一个重大挑战，因为不同司法管辖区和组织之间泥炭土的定义差异很大，而现场数据稀疏且难以生成，而且对转化泥炭地的遥感用途有限。本文使用自适应制图框架，编译不同的数据源来更新派生的爱尔兰泥炭地图，以更好地促进其在环境问题上的应用。这包括纳入被认为是浅泥炭土（≥ 10 cm 且有机质含量 ≥ 8.6%）的区域，以及通过额外的 ∼ 20,000 个点来扩充整个测试数据集。