Google Earth Engine ——全球资源管理系统火灾信息(FIRMS)1公里数据集

简介: Google Earth Engine ——全球资源管理系统火灾信息(FIRMS)1公里数据集

The Earth Engine version of the Fire Information for Resource Management System (FIRMS) dataset contains the LANCE fire detection product in rasterized form. The near real-time (NRT) active fire locations are processed by LANCE using the standard MODIS MOD14/MYD14 Fire and Thermal Anomalies product. Each active fire location represents the centroid of a 1km pixel that is flagged by the algorithm as containing one or more fires within the pixel. The data are rasterized as follows: for each FIRMS active fire point, a 1km bounding box (BB) is defined; pixels in the MODIS sinusoidal projection that intersect the FIRMS BB are identified; if multiple FIRMS BBs intersect the same pixel, the one with higher confidence is retained; in case of a tie, the brighter one is retained.

 

The data in the near-real-time dataset are not considered to be of science quality.

Additional information can be found here.


资源管理系统火灾信息(FIRMS)数据集的地球引擎版本包含了LANCE栅格化形式的火灾探测产品。LANCE使用标准的MODIS MOD14/MYD14火灾和热异常产品处理近实时(NRT)活动火灾位置。每个活动火点代表一个1公里像素的中心点,该像素被算法标记为包含一个或多个火点。数据的栅格化过程如下:为每个FIRMS活动火点定义一个1公里的边界框(BB);识别MODIS正弦投影中与FIRMS BB相交的像素;如果多个FIRMS BB与同一像素相交,则保留置信度较高的那个;如果出现并列,则保留较亮的那个。

近实时数据集中的数据被认为不具有科学质量。

Dataset Availability

2000-11-01T00:00:00 - 2021-09-06T00:00:00

Dataset Provider

NASA / LANCE / EOSDIS

Collection Snippet

ee.ImageCollection("FIRMS")

Resolution

1000 meters

Bands Table

Name Description Min Max Units
T21 The brightness temperature of a fire pixel using MODIS channels 21/22. K
confidence A detection confidence intended to help users gauge the quality of individual active fire pixels. The confidence estimate ranges between 0% and 100% for all fire pixels within the fire mask. The confidence field should be used with caution; it is likely that it will vary in meaning in different parts of the world. 0 100 %
line_number Line number in the FIRMS CSV file that the pixel came from.


* = Values are estimated

var dataset = ee.ImageCollection('FIRMS').filter(
    ee.Filter.date('2018-08-01', '2018-08-10'));
var fires = dataset.select('T21');
var firesVis = {
  min: 325.0,
  max: 400.0,
  palette: ['red', 'orange', 'yellow'],
};
Map.setCenter(-119.086, 47.295, 6);
Map.addLayer(fires, firesVis, 'Fires');


使用说明:

NASA promotes the full and open sharing of all data with the research and applications communities, private industry, academia, and the general public. Read the [NASA Data and Information Policy] (Data & Information Policy | Science Mission Directorate).

If you provide the [Land, Atmosphere Near real-time Capability for EOS (LANCE) / Fire Information for Resource Management System (FIRMS)] (LANCE: NASA Near Real-Time Data and Imagery | Earthdata) data to a third party, follow the guidelines in the [LANCE Citation, Acknowledgements, and Disclaimer] (LANCE Citation, Acknowledgements and Disclaimer | Earthdata) site and replicate or provide a link to the [disclaimer] (LANCE Citation, Acknowledgements and Disclaimer | Earthdata).

引用:

MODIS Collection 6 NRT Hotspot / Active Fire Detections MCD14DL. Available on-line Fire Information for Resource Management System (FIRMS) | Earthdata. doi:10.5067/FIRMS/MODIS/MCD14DL.NRT.006



相关文章
|
1月前
|
数据可视化 定位技术 Sentinel
如何用Google Earth Engine快速、大量下载遥感影像数据?
【2月更文挑战第9天】本文介绍在谷歌地球引擎(Google Earth Engine,GEE)中,批量下载指定时间范围、空间范围的遥感影像数据(包括Landsat、Sentinel等)的方法~
1095 1
如何用Google Earth Engine快速、大量下载遥感影像数据?
|
1月前
|
编解码 人工智能 算法
Google Earth Engine——促进森林温室气体报告的全球时间序列数据集
Google Earth Engine——促进森林温室气体报告的全球时间序列数据集
45 0
|
1月前
|
机器学习/深度学习 算法 数据可视化
基于Google Earth Engine云平台构建的多源遥感数据森林地上生物量AGB估算模型含生物量模型应用APP
基于Google Earth Engine云平台构建的多源遥感数据森林地上生物量AGB估算模型含生物量模型应用APP
145 0
|
1月前
|
存储 编解码 数据可视化
Google Earth Engine获取随机抽样点并均匀分布在栅格的不同数值区中
【2月更文挑战第14天】本文介绍在谷歌地球引擎(Google Earth Engine,GEE)中,按照给定的地表分类数据,对每一种不同的地物类型,分别加以全球范围内随机抽样点自动批量选取的方法~
309 1
Google Earth Engine获取随机抽样点并均匀分布在栅格的不同数值区中
|
1月前
|
数据处理
Google Earth Engine(GEE)——sentinel-1数据处理过程中出现错误Dictionary does not contain key: bucketMeans
Google Earth Engine(GEE)——sentinel-1数据处理过程中出现错误Dictionary does not contain key: bucketMeans
42 0
|
1月前
|
编解码 人工智能 数据库
Google Earth Engine(GEE)——全球道路盘查项目全球道路数据库
Google Earth Engine(GEE)——全球道路盘查项目全球道路数据库
62 0
|
1月前
|
编解码
Open Google Earth Engine(OEEL)——matrixUnit(...)中产生常量影像
Open Google Earth Engine(OEEL)——matrixUnit(...)中产生常量影像
35 0
|
1月前
Google Earth Engine(GEE)——导出指定区域的河流和流域范围
Google Earth Engine(GEE)——导出指定区域的河流和流域范围
95 0
|
1月前
|
传感器 编解码 数据处理
Open Google Earth Engine(OEEL)——哨兵1号数据的黑边去除功能附链接和代码
Open Google Earth Engine(OEEL)——哨兵1号数据的黑边去除功能附链接和代码
46 0
|
1月前
Google Earth Engine(GEE)——当加载图表的时候出现错误No features contain non-null values of “system:time_start“.
Google Earth Engine(GEE)——当加载图表的时候出现错误No features contain non-null values of “system:time_start“.
66 0

热门文章

最新文章