five

VIIRS/JPSS1 Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT - V2

收藏
www.earthdata.nasa.gov2024-11-07 更新2025-03-26 收录
下载链接:
https://www.earthdata.nasa.gov/data/catalog/lancemodis-vj114-nrt-2
下载链接
链接失效反馈
官方服务:
资源简介:
The VIIRS/JPSS1 Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT product, short-name VJ114_NRT is based on the MODIS Fire algorithm. The input to the Active Fires production are Level-1B moderate-resolution reflective band M7, and emissive bands M13 and M15. The fire algorithm first calculates bands M13, M15 brightness temperature (BT) statistics for a group of background pixels adjacent to each potential fire pixel. These statistics are used to set thresholds for several contextual fire detection tests. There is also an absolute fire detection test based on a pre-set M13 BT threshold. If the results of the absolute and relative fire detection tests meet certain criteria, the pixel is labeled as fire. The designation of a pixel as fire from the results of the BT threshold tests may be overridden under sun glint conditions or if too few pixels were used to calculate the background statistics. The VJ114_NRT product contains several pieces of information for each fire pixel: pixel coordinates, latitude and longitude, pixel M7 reflectance, background M7 reflectance, pixel M13 and M15 BT, background M13 and M15 BT, mean background BT difference, background M13, M15, and BT difference mean absolute deviation, fire radiative power, number of adjacent cloud pixels, number of adjacent water pixels, background window size, number of valid background pixels, detection confidence, land pixel flag, background M7 reflectance, and reflectance mean absolute deviation. The product provides day and nighttime active fire detection over land and water (from gas flares). The VJ114 product provides fire data continuity with NASA's EOS MODIS 1 km fire product. For more information visit University of Maryland VIIRS Active Fire Web page at http://viirsfire.geog.umd.edu/

VIIRS/JPSS1热异常/火灾6分钟L2条带750米NRT产品,简称VJ114_NRT,基于MODIS火灾算法。主动火灾生产的输入包括一级B中分辨率反射波段M7以及发射波段M13和M15。火灾算法首先计算每个潜在火灾像素相邻的背景像素组中M13、M15亮度温度(BT)统计数据。这些统计数据用于设置多个上下文火灾检测测试的阈值。同时,还基于预置的M13 BT阈值的绝对火灾检测测试。如果绝对和相对火灾检测测试的结果符合某些标准,则将该像素标记为火灾。在太阳光耀条件下,或如果用于计算背景统计数据的像素太少时,BT阈值测试结果可能覆盖像素被标记为火灾的判定。VJ114_NRT产品包含每个火灾像素的多个信息项:像素坐标、纬度和经度、像素M7反射率、背景M7反射率、像素M13和M15 BT、背景M13和M15 BT、平均背景BT差异、背景M13、M15和BT差异的均方根绝对偏差、火灾辐射功率、相邻云像素数量、相邻水像素数量、背景窗口大小、有效背景像素数量、检测置信度、陆地像素标志、背景M7反射率和反射率均方根绝对偏差。该产品提供陆地和水面(来自气体火炬)的昼夜主动火灾检测。VJ114产品与NASA的EOS MODIS 1公里火灾产品提供火灾数据连续性。更多信息请访问马里兰大学VIIRS主动火灾网页,链接为http://viirsfire.geog.umd.edu/。
提供机构:
Earthdata
二维码
社区交流群
二维码
科研交流群
商业服务