Development of Forest Fire Detection and Recovery Evaluation method using NOAA Satellite image for Siberia and Far East Russia

本研究以北亚西伯利亚中心地区经常发生的森林火灾为研究对象，探讨森林恢复的火灾探测与评价方法。首先，我们开发了NOAA卫星图像中云区去除方法以及图像类别的相关特征提取。其次，对火情信息进行开发，积累三维直方图，并将分析后的NOAA卫星图像与俄罗斯科学院西伯利亚分院合作的地面火情信息进行对比，及时放大。利用上述方法实现了森林火灾的实时火灾探测。我们正在开发利用正差植被指数法的森林恢复方法。此外，我们还于2000年8月举办了全球变化国际研讨会：从NOAA卫星上观察西伯利亚。我们与美国国家航空航天局、美国国家海洋和大气管理局和俄罗斯科学院的研究人员总结了这项研究。

In this study, we have looked at forest fires which often occur in Siberia center of north Asian area, and aimed at fire detection and evaluation method of the forest recovery. The first, we developed the method to remove cloud area in NOAA satellite images and related feature extraction of the image categories. The second, we developed the fire information to accumulate the three dimensional histogram, which is scaling up in time comparing analyzed NOAA satellite image with ground fire information from cooperated of Russian Academy of Science Siberian Branch. We show the real time fire detection in forest fire by using above way. we are developing the forest recovery method using Normal Differential Vegetation Index method.And also, we have held on the International Workshop on Global Changes : View of Siberian from NOAA Satellite on August, 2000. We have summed up this study with the researchers from NASA, NOAA and Russian Academy of Science.