FIRED Tunisia Nov 2000 - July 2024

This is event-level polygons for the fire event delineation (FIRED) product for TUNISIA from November 2000 to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498

本数据集为2000年11月至2024年7月突尼斯（TUNISIA）地区火灾事件划定（Fire Event Delineation，简称FIRED）产品的事件级多边形数据。其数据源自MODIS MCD64A1火烧面积产品（详细信息可参见https://lpdaac.usgs.gov/products/mcd64a1v061/）。MCD64A1为一套包含火烧日期估算结果的月度栅格数据集。Firedpy（https://github.com/earthlab/firedpy）是一款算法工具，可通过将完整时间序列堆叠为时空数据立方体，将上述栅格数据转换为火灾事件数据，并通过算法为落入同一三维时空窗口内的像元分配统一的事件识别编号。本次发布的数据集采用1个像元的空间参数与5天的时间参数生成。数据集包含逐日多边形结果，且两类文件的事件识别编号保持一致；但事件级产品仅为每个完整火灾事件提供单个多边形，而逐日产品则为事件内的每个日期生成独立的多边形。有关该数据集的构建方法及更多细节，请参阅以下学术论文：Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED（火灾事件划定）：基于MODIS火烧面积产品构建的开放灵活算法与美国火灾事件数据库（2001–2019）. Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498