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基于归一化燃烧率火烧迹地遥感提取识别规则研究

余哲修 何超 李昔纯 张超 陈建珍 罗恒春 黄田

西北林学院学报2018,Vol.33Issue(1):216-224,9.
西北林学院学报2018,Vol.33Issue(1):216-224,9.DOI:10.3969/j.issn.1001-7461.2018.01.36

基于归一化燃烧率火烧迹地遥感提取识别规则研究

Extraction and Recognition of Burned Area Based on Normalized Burn Ratio by Remote Sensing

余哲修 1何超 2李昔纯 1张超 1陈建珍 3罗恒春 1黄田1

作者信息

  • 1. 西南林业大学林学院,云南昆明650224
  • 2. 西南林业大学林业3S技术工程研究中心,云南昆明650224
  • 3. 西南林业大学林业调查规划设计研究院,云南昆明650224
  • 折叠

摘要

Abstract

In order to investigate the availability and applicability of recognition rules of forest fire burned area based on the NBR (Normalized Burn Ratio,NBR) in China,the scene of the burned area resulted from a fatal forest fire occurred on 29 March,2016 in Anning,Yunnan Province was used as experimental area to testify the recognition rules of burned area.The scenes of other two forest fires occurred in Xiaguan Township of Dali in 2013 and in Shilin County of Kunming in 2015 were used as checking areas.Based on the Landsat remote sensing images before and after the forest fire,a contrastive study was conducted on the 9 rules of NBR.The results showed that 1) rules with the threshold values of 0.2~1.2 were applicable for the forest fires occurred in Anning and Dali.2) Ranges of reference threshold value of difference normalized burn ratio (dNBR) proposed by the United States Geological Survey and Department of Agriculture-Forest Service were suitable for the forest fire occurred in Yunnan after modification according to the actual situation.3) More pixel numbers that were recognized by threshold rules were observed in the dNBR of remote sensing image pairs that were closer to the time of forest fire occurrence.4) The number of pixels in forest fires in Anning and Shilin changed greatly,which was related to the temperature,precipitation,vegetation growth and so on.The more vegetation grew,the more pixels were identified.5) The minimum range of the threshold of the fixed recognition rule,the number of pixels varied little with the increase of the maximum threshold range.

关键词

NBR/dNBR/火烧迹地/识别规则

Key words

NBR/dNBR/burned area/recognition rule

分类

农业科技

引用本文复制引用

余哲修,何超,李昔纯,张超,陈建珍,罗恒春,黄田..基于归一化燃烧率火烧迹地遥感提取识别规则研究[J].西北林学院学报,2018,33(1):216-224,9.

基金项目

国家自然科学基金(31460195) (31460195)

云南省教育厅科学研究基金资助性项目(2016ZZX156) (2016ZZX156)

云南省森林灾害预警与控制重点实验室开放基金项目(ZK150001) (ZK150001)

昆明市林业信息工程技术研究中心开放基金项目(2015FIB02). (2015FIB02)

西北林学院学报

OA北大核心CSCDCSTPCD

1001-7461

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