Canada-wide Landsat-based 30-m resolution product of disturbance detection prior to 1984

This data product aimed to extend the existing pre-1985 disturbance history record by mapping wildfire, harvest, and insect outbreaks in Canadian forests between 1965 and 1984. Our geospatial data processing methodology relied on multi-layer perceptrons (MLP) trained on spectral recovery signatures to map and age these disturbances. Specific years were not assigned to insect outbreaks due to the lack of dependable training and validation data. In order to provide a more accurate data product that is compatible with existing datasets (e.g. provincial forest inventories), we used these reliable, but incomplete datasets to correct our predictions of disturbance type and year whenever they were available. Coupled with the updated Canada Landsat Disturbance (CanLaD) data product (Guindon et al. 2017), we are thus able to obtain a pan-Canadian 30m resolution disturbance history record from 1965 until 2023. The full description of the methodology and the exhaustive validation analyses are described in detail in Correia et al. (2024).

本数据集旨在拓展1985年前的现有扰动历史记录，对1965年至1984年间加拿大森林中的野火、林木采伐与虫害暴发开展制图识别。本研究的地理空间数据处理方法，依托基于光谱恢复特征训练得到的多层感知机（multi-layer perceptrons, MLP），对上述扰动进行制图并反推其发生年份。由于缺乏可靠的训练与验证数据，本次研究未能确定虫害暴发的具体发生年份。为打造更精准且可与现有数据集（如省级森林资源清查数据）兼容的数据集产品，本研究在相关数据可用时，依托可靠但存在缺失的数据集，对扰动类型与发生年份的预测结果进行校正。结合更新后的加拿大陆地卫星扰动（Canada Landsat Disturbance, CanLaD）数据集产品（Guindon等，2017），本研究最终可得到1965年至2023年覆盖全加拿大的30米分辨率扰动历史记录。该数据集的完整方法学说明与全面验证分析详见Correia等（2024）的研究文献。