Abstract Aeolian processes are the dominant geological activity on Mars under current environmental conditions, and decoding the surface features on Mars is important for determining its history. Transverse Aeolian Ridges (TARs) on Mars are mysterious aeolian features originally considered to be unique to Mars. The origin, formation process and sediment sources for TARs remain uncertain, but using high-resolution satellite images and studying terrestrial analogs are important tools for examining these features. TAR-like features in the Lut desert of Iran are excellent analogs for exploring the diversity and dimensions of TAR-like features, in order to shed light on the most likely origin of TARs on Mars. We used a semi-automatic mapping methodology to document TAR-like bedforms in the Lut desert. Morphometry of more than 2 million TAR-like features in the Lut study area were automatically extracted for this study, along with manual measurements of ~2000 features using photoclinometry in order to document heights. High Resolution Imaging Science Experiment (HiRISE) digital terrain models (DTMs) were used to obtain measurements for ~2000 Martian TARs, in order to compare similar data sets for the morphometry of both Martian TARs and the Lut analogs. We analyzed measured physical attributes in order to explore physical conditions that may have contributed to their formation. A multi-temporal analysis of the Lut TAR-like features used satellite images spanning an 8-year time period. Four groups of TAR-like features in the Lut Desert were identified by their morphometry and their response to wind conditions.

中文翻译：

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评估地球和火星上横向风成脊 (TAR) 的大型数据集

摘要 在当前环境条件下，风成过程是火星上的主要地质活动，解码火星表面特征对于确定其历史具有重要意义。火星上的横向风成脊 (TAR) 是最初被认为是火星独有的神秘风成特征。TAR 的起源、形成过程和沉积物来源仍不确定，但使用高分辨率卫星图像和研究陆地类似物是检查这些特征的重要工具。伊朗卢特沙漠中的类 TAR 特征是探索类 TAR 特征的多样性和维度的极好类似物，以揭示火星上 TAR 最可能的起源。我们使用半自动映射方法来记录 Lut 沙漠中类似 TAR 的床型。本研究自动提取了 Lut 研究区域中超过 200 万个类似 TAR 的特征的形态测量，以及使用光度测量法手动测量约 2000 个特征以记录高度。高分辨率成像科学实验 (HiRISE) 数字地形模型 (DTM) 用于获取约 2000 个火星 TAR 的测量值，以便比较火星 TAR 和 Lut 类似物的形态测量的类似数据集。我们分析了测量的物理属性，以探索可能导致其形成的物理条件。对 Lut TAR 类特征的多时间分析使用了跨越 8 年时间段的卫星图像。Lut 沙漠中的四组类似 TAR 的特征通过它们的形态测量和对风条件的响应来确定。