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Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data
International Journal of Applied Earth Observation and Geoinformation ( IF 7.6 ) Pub Date : 2021-08-18 , DOI: 10.1016/j.jag.2021.102473
Gonzalo Otón 1 , Joshua Lizundia-Loiola 1 , M. Lucrecia Pettinari 1 , Emilio Chuvieco 1
Affiliation  

This paper presents the generation of a global long-term Burned Area (BA) product based on Advanced Very High Resolution Radiometer (AVHRR) images. The BA product was derived from the Land Long Term Data Record (LTDR), which provides a continuous dataset of geometrically and radiometrically corrected AVHRR images at 0.05° resolution (≈5 km). The BA algorithm improves a Beta version of this dataset (named FireCCILT10) previously released. The new version incorporates an enhanced Random Forest (RF) classification process based on two models, one using a global sample and another one using only Boreal regions. Solar zenith angle (SZA) corrections were introduced to mitigate the impact of satellite orbital drift. Binary classifications were obtained applying probability thresholds, and BA proportions were assigned to each burned pixel. The final product includes the date of detection at 0.05° resolution and the total burned area at 0.05° and 0.25° resolution, both covering the period from 1982 to 2018 (excluding 1994). The resulting product, called FireCCILT11, estimated that 165.26 Mkm2 were globally burned between 1982 and 2018, with an annual average of 4.59 Mkm2. The largest BA was found in 2011 with 5.18 Mkm2 and the lowest was observed in 1991 with 4.09 Mkm2. The month with the highest mean BA was August, with 0.63 Mkm2, and the one with the lowest was March with 0.15 Mkm2. Africa included 66% of total BA. Inter-comparison showed high correlation values with MODIS BA products for annual BA of the common years (r > 0.6, %MAE < 14%). Comparison with national fire statistics of Australia, Canada and Alaska showed also high correlation values (r > 0.8, %MAE < 42%).



中文翻译:

基于 AVHRR-LTDR 数据开发一致的全球长期燃烧面积产品(1982-2018)

本文介绍了基于高级超高分辨率辐射计 (AVHRR) 图像的全球长期燃烧区 (BA) 产品的生成。BA 产品源自陆地长期数据记录 (LTDR),它以 0.05° 分辨率(≈5 公里)提供几何和辐射校正 AVHRR 图像的连续数据集。BA 算法改进了之前发布的该数据集(名为 FireCCILT10)的 Beta 版本。新版本结合了基于两种模型的增强型随机森林 (RF) 分类过程,一种使用全球样本,另一种仅使用北方地区。引入了太阳天顶角 (SZA) 校正以减轻卫星轨道漂移的影响。应用概率阈值获得二元分类,并为每个烧毁像素分配 BA 比例。最终产品包括0.05°分辨率下的检测日期和0.05°和0.25°分辨率下的总燃烧面积,均涵盖1982年至2018年(不包括1994年)期间。由此产生的产品称为 FireCCILT11,估计 165.26 Mkm2在 1982 年至 2018 年间在全球范围内被烧毁,年均燃烧量为 4.59 Mkm 2。最大的 BA 是在 2011 年发现的,为 5.18 Mkm 2,最低的是在 1991 年观察到的,为 4.09 Mkm 2。平均BA 最高的月份是8 月份,为0.63 Mkm 2,最低的是3 月份,为0.15 Mkm 2。非洲占 BA 总数的 66%。相互比较表明,MODIS BA 产品与普通年份的年度 BA 具有高相关值(r > 0.6,%MAE < 14%)。与澳大利亚、加拿大和阿拉斯加的国家火灾统计数据的比较也显示出高相关值(r > 0.8,%MAE < 42%)。

更新日期:2021-08-19
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