ABoVE: Landsat-derived Annual Disturbance Agents Across ABoVE Core Domain, 1987-2012

This dataset provides spatial data on disturbance agents of fire, insects, and logging in the Arctic Boreal Vulnerability Experiment (ABoVE) core domain at an annual time step from 1987-2012 and 30 m resolution. Using a time-series of Landsat data, the three disturbance types were identified by abrupt changes in Tasseled Cap (dTC) indices of brightness, greenness, and wetness. Disturbances were detected by a Continuous Change Detection and Classification (CCDC) harmonic regression model applied to the time series. The dTC indices and disturbance results are provided.本数据集提供北极寒带脆弱性实验（Arctic Boreal Vulnerability Experiment, ABoVE）核心区域内，火灾、昆虫与采伐三类干扰因子的空间数据，时间步长为年际，覆盖1987年至2012年，空间分辨率达30米。研究人员借助Landsat时间序列数据，通过亮度、绿度与湿度的扰动缨帽（Tasseled Cap, dTC）指数的突变特征，识别出上述三类干扰类型；干扰的检测则依托应用于该时间序列的持续变化检测与分类（Continuous Change Detection and Classification, CCDC）谐波回归模型完成。本数据集同步提供扰动缨帽指数与干扰检测结果。