Multi-Source Satellite Image Dataset for Wildfire Burned Area Mapping Based on 2017-2019 Canada Wildfires

Satellite remote sensing is a powerful tool, offering precise and timely data on terrestrial changes, and has been extensively utilized for wildfire identification, tracking, and impact assessment at both local and regional levels. The Canada Centre for Mapping and Earth Observation in collaboration with the Canadian Forest Service has developed a comprehensive National Burned Area Composite (NBAC). This composite serves as a benchmark for curating a bi-temporal multi-source satellite image dataset for wildfire burned area mapping, compiled from the archives of Sentinel-2 MSI, Sentinel-1 C-band SAR, and ALOS PALSAR-2 L-Band SAR. This dataset was established based on 328 Canada 2017-2019 wildfire events, which includes bi-temporal image pairs from multi-souce satellite data, and three burned area masks from NBAC, MODIS monthly, and FireCCI monthly burned area products. If you found this dataset useful, you are welcome to cite the following paper: Zhang, P., Hu, X., Ban, Y., Nascetti, A., & Gong, M. (2024). Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017–2019 Canada Wildfires. Remote Sensing, 16(3), 556.卫星遥感是一项高效可靠的技术手段，可提供精准及时的地表变化观测数据，已被广泛应用于局地及区域尺度的野火识别、动态追踪与影响评估工作。 加拿大制图与地球观测中心（Canada Centre for Mapping and Earth Observation）与加拿大森林服务局（Canadian Forest Service）合作构建了一套完整的国家火烧迹地复合数据集（National Burned Area Composite，NBAC）。该复合数据集作为基准标准，用于搭建面向野火火烧迹地制图的双时相多源卫星影像数据集，数据源自Sentinel-2 MSI、Sentinel-1 C波段合成孔径雷达（Synthetic Aperture Radar，SAR）以及ALOS PALSAR-2 L波段合成孔径雷达（SAR）的存档影像库。 本数据集基于加拿大2017-2019年的328起野火事件构建，包含多源卫星数据的双时相影像对，以及来自NBAC、MODIS月度火烧迹地产品与FireCCI月度火烧迹地产品的三类火烧迹地掩膜数据。 若您认为本数据集对研究有所助益，敬请引用以下论文： 张鹏、胡晓、班宇、A.纳斯凯蒂、龚敏（2024）。《评估Sentinel-2、Sentinel-1与ALOS-2 PALSAR-2数据用于大规模野火火烧迹地制图：基于加拿大2017-2019年野火的研究启示》。遥感（Remote Sensing），16(3)，556。