FIRED KENYA
收藏DataCite Commons2021-11-18 更新2025-04-09 收录
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https://scholar.colorado.edu/concern/datasets/1j92g871c
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资源简介：
This is event- and daily-level polygons for the Fire event delineation (FIRED) product for KENYA from November 2000 to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.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 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, 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 accompanying metadata files for the statistics provided by each data set. 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
这是2000年11月至2021年7月肯尼亚火灾事件划定（FIRED）产品的事件级与日级多边形数据集。该数据集源自MODIS MCD64A1火烧区产品（详情见https://lpdaac.usgs.gov/products/mcd64a1v006/）。MCD64A1是估算火烧日期的月度栅格数据。Firedpy（www.github.com/earthlab/firedpy）是一种算法，它通过将整个时间序列堆叠为时空数据立方体，将这些栅格转换为事件，随后使用算法为符合同一三维时空窗口的像素分配事件识别编号。本数据集采用5像素的空间参数与11天的时间参数生成。相较于其他数据集，本数据集的主要优势在于能够计算火势蔓延速率。在事件级与日级产品中，事件识别编号保持一致；但事件级产品针对每个完整事件仅包含单个多边形，而日级产品则针对每个事件的每一天分别提供多边形。各数据集提供的统计信息详见随附的元数据文件。有关方法的更多细节，请参阅相关论文：
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火烧区产品的美国火灾事件开放灵活算法与数据库（2001–2019）。Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
提供机构：
University of Colorado Boulder
创建时间：
2021-11-18
