2020年度一带一路火灾多发区森林火点监测产品

一带一路地区主要森林火点监测产品。利用MODIS上下文火点识别算法中的相关内容实现上下文火点检测。主要原理是计算中红外波段与热红外波段像元值的比值，从而引入红外通道斜率的概念，并将经过动态阈值检测之后的非火点像元（排除云、水体和火点像元）作为有效背景像元。通过9*9的移动窗口分别计算在有效背景像元和整个图像所有像元中红外波段与热红外波段像元值的比值，最后根据两种斜率值之间差异识别火点像元。分8天统计发生火灾，7-9分别代表概率大小。Major forest fire point monitoring product for the Belt and Road regions. Contextual fire point detection is implemented using relevant components from the MODIS contextual fire point recognition algorithm. The core principle is to calculate the ratio of pixel values between the mid-infrared and thermal infrared bands, thereby introducing the concept of infrared channel slope. Non-fire pixels (excluding cloud, water, and confirmed fire pixels) obtained via dynamic threshold detection are treated as valid background pixels. A 9×9 moving window is used to calculate the ratio of mid-infrared to thermal infrared pixel values for both the valid background pixel set and all pixels in the entire image, respectively. Fire point pixels are then identified based on the difference between these two sets of slope values. Fire occurrences are counted over 8-day periods, with values 7 through 9 respectively representing the magnitude of fire probability.

搜集汇总

背景与挑战

背景概述

该数据集是2020年度一带一路火灾多发区的森林火点监测产品，基于MODIS遥感数据，采用上下文火点识别算法，通过计算红外波段比值和动态阈值检测火点，时间分辨率为8天，空间分辨率为1公里，以栅格格式（GeoTiff）提供，用于监测和分析森林火灾发生概率。