South Alaskan ice-marginal lakes from Landsat 8 (2013-2019) via Google Earth Engine

This dataset accompanies a manuscript submitted for review to the Journal of Remote Sensing. Lakes in direct contact with glaciers (ice-marginal lakes) are found across alpine and polar landscapes. As dynamic features that experience short-term (i.e., day to year) variations in area and volume, they form an important yet understudied element of the complete hydrologic system of glaciers with which they are in contact. To accelerate the study of ice-marginal lakes over large temporal and spatial extents, we automate the mapping of ice-marginal lakes by implementing a trained minimum-distance classifier of monthly Landsat 8 data products in Google Earth Engine. We produce maps of ice-marginal lakes in south Alaska for the summer months March through August for each year from 2013 through 2019. These maps are manually reviewed for accuracy. By spatially joining all maps, we can identify lakes throughout time, even if they are changing rapidly or dramatically. This dataset includes the spatial join of all lakes and shapefiles of each individual lake identified, grouped by lake. Within these lake shapefiles is illustrated an individual history of lake change; each feature is a delineation of the lake at a specific point in time.

本数据集配套提交至《遥感学报》（Journal of Remote Sensing）待审的研究稿件。广泛分布于高山与极地景观中、与冰川直接接触的湖泊（冰缘湖，ice-marginal lakes）属于动态地物，其面积与体积会在短期（即日至年尺度）内发生变化，是与其直接接触的冰川完整水文系统中一类重要却尚未得到充分研究的组成部分。为加速大时空尺度下冰缘湖的相关研究，我们通过在谷歌地球引擎（Google Earth Engine）中部署训练完成的最小距离分类器，对月度Landsat 8数据产品开展冰缘湖自动化制图工作。我们生成了2013至2019年每年3月至8月夏季月份的阿拉斯加南部地区冰缘湖分布图件，并对全部图件进行了人工精度复核。通过对所有图件进行空间拼接，我们可识别不同时段的湖泊，即便其变化迅速且幅度剧烈。本数据集包含所有湖泊的空间拼接结果，以及按湖泊分组的各单个湖泊的shapefile文件。在这些湖泊shapefile文件中，记录了单个湖泊的变化历史：每个要素对应某一特定时间点的湖泊轮廓。