Data for: A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas
收藏doi.org2025-01-22 收录
下载链接:
http://doi.org/10.17632/kc89crcwgy.1
下载链接
链接失效反馈官方服务:
资源简介:
Burned area maps for the Brazilian Cerrado and fire season 2015 computed by the PT algorithm (Campagnolo et al 2019)
There are three products based on MODIS surface reflectance at 250 m (PT-GQ-NIR) , at 500m (PT-GA-BSVI) and combined 250-500 m (PT-NIR-BSVI)
Each file covers the rectangle of longitudes between 68°W and 40°W and latitudes between 26°S and 2°N which contains the Brazilian Cerrado, from Abril 30, 2015 to December 31, 2015. Each row represents one BA observation and columns are the following.
(1) lon (decimal degrees),
(2) lat (decimal degrees),
(3) doy (estimated julian date of burn),
(4) doy_pre (earliest julian date of burn),
(5) doy_post (latest julian date of burn),
(6) aream2 (observation burned area in m2),
(7) pixelsize (pixel size of original surface reflectance observation, in meters),
(8) mscores (MaxEnt score),
(9) thr (threshold for mscore),
(10) croplands (1 if cropland pixel, 0 otherwise),
(11) dg (degree in graph of events),
(12) medianscores (median score of the patch where the observation lies),
(13) nAFpatch (number of active fires associated with the patch where the observation lies), and
(14) IDXpatch (index of patch where the observation lies).
Missing values are indicated by -1.
Reference: Campagnolo, M. L., Oom, D., Padilla, M., & Pereira, J. M. C. (2019). A patch-based algorithm for global and daily burned area mapping. Remote Sensing of Environment, 232, 111288. https://doi.org/10.1016/j.rse.2019.111288
巴西塞拉多地区2015年火灾季节的燃烧区域地图,由PT算法(Campagnolo等人,2019年)计算得出。该数据集包含三个基于MODIS地表反射率的产品,分别以250米(PT-GQ-NIR)、500米(PT-GA-BSVI)以及250-500米的结合(PT-NIR-BSVI)的空间分辨率。每个文件覆盖从西经68°至40°,南纬26°至2°之间的矩形区域,该区域包含巴西塞拉多地区,时间范围从2015年4月30日至12月31日。每行代表一个燃烧区域的观测数据,其中列的说明如下:(1)经度(十进制度数),(2)纬度(十进制度数),(3)燃烧日期(估算的儒略日),(4)最早燃烧日期(儒略日),(5)最晚燃烧日期(儒略日),(6)燃烧面积(平方米),(7)像素大小(原始地表反射率观测的像素大小,单位:米),(8)MScore(最大熵分数),(9)阈值(MScore的阈值),(10)耕地(若像素为耕地则标记为1,否则为0),(11)事件图中的度数,(12)中值分数(观测所在斑块的中值分数),(13)nAFpatch(与观测所在斑块相关联的活跃火数量),以及(14)IDXpatch(观测所在斑块的索引)。缺失值以-1表示。
参考文献:Campagnolo, M. L., Oom, D., Padilla, M., & Pereira, J. M. C. (2019). 基于“斑块”的算法用于全球和每日燃烧区域制图。遥感环境监测,232,111288. https://doi.org/10.1016/j.rse.2019.111288
提供机构:
Mendeley Data



