Zhao Xianwen Li Jiquan. ESTIMATION OF FOREST FIRE DAMAGE USING SPOT IMAGES IN AMUER FOREST BUREAU[J]. Journal of Remote Sensing, 1989, (2): 110-115. DOI: 10.11834/jrs.1989012.
ESTIMATION OF FOREST FIRE DAMAGE USING SPOT IMAGES IN AMUER FOREST BUREAU
This research is based on the standard false colour composite images of French SPOT satellite obtained on 30th
May
1987 as main infcrmation resource to study forest fire damages of the forest land in Amuer Forest Bureau of Great Xingan Mountains.The article is emphasis on principles
methods and errors of area measurement. The comparison is made between the results of district forest surrey (a kind of field surrey) and the method of calculated timber stock volume damage using moderate ground sample plots enumeration and visual measurement assisted by an angle gauge as well as with statistical sampling techniques; particularly
the comparison of consistency among the image interpretation of forest fire damage classes
the ground landscape and the percentages of burn-out timber stock (quantitative description of forest fire damages).The results show that the application of SPOT satellite data to estimate forest fire damage using the above introduced research method can quicply and economically obtain the necessary results and meet the requested precision.
Fuyang SUN 东北林业大学 林学院 森林生态系统可持续经营教育部重点实验室;中国科学院遥感与数字地球研究所 数字地球重点实验室
Xiaosong LI 中国科学院遥感与数字地球研究所 数字地球重点实验室
Zengyuan LI 中国林业科学研究院资源信息研究所
Xianlin QIN 中国林业科学研究院资源信息研究所
YANG Yunjie 西南交通大学 地球科学与工程学院
相关机构
State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University
Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University
Faculty of Arts and Sciences, Beijing Normal University
Key Laboratory of Sustainable Forest Ecosystem Management Ministry of Education, School of Forestry, Northeast Forestry University
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences