摘要
山蒿是一种广布于我国北部干旱半干旱区低山丘陵中高海拔地带的次生植物,根据部分地区现场调查和笔者的前期研究,认为其具有生态保护和资源利用价值。为了实现山蒿优势群落集中分布区调查方法开发,以内蒙古自治区兴安盟突泉县为例,选取了2017年多时相Landsat8-OLI遥感影像,根据地形特征、NDVI指数和GNDVI指数建立规则集,构建山蒿植被信息提取决策树模型,并进行了典型区山蒿提取和精度验证。结果表明,遥感提取总体精度为78.65%,Kappa系数为0.63,山蒿信息提取的制图精度为72.13%,用户精度为75.7%,目标于初步分布区域调查,使用此模型方法进行山蒿信息提取是可行的,研究成果能够为进一步改进和构建植被信息提取方法提供思路,也能够为山蒿植被空间分布监测及其生态保护规划管理提供决策支持。
Artemisia brachyloba Franch is a kind of secondary plant widely distributed in the low mountains and hills of the arid and semi-arid areas in the north of China.According to field investigations and the author's previous studies,it is believed that Artemisia brachyloba Franch has the value of ecological protection and resource utilization.For developing survey method of concentrated distribution area of dominant community of this plant,this article took Tuquan County,Xing'an League,Inner Mongolia Autonomous Region as an example,selected multi temporal remote sensing images of Landsat 8-OLI in 2017,established rule set according to terrain characteristics,NDVI and GNDVI,constructed decision tree model for vegetation information extraction of Artemisia brachyloba Franch,and carried out extraction experiment and accuracy verification in typical areas.The results showed that the overall accuracy of remote sensing extraction was 78.65%,kappa coefficient was 0.63,the mapping accuracy was 72.13%,and the user accuracy was 75.7%.It is feasible to use this model to extract Artemisia brachyloba Franch information.The research results can provide ideas for further improvement and construction of vegetation information extraction methods,as well as for monitoring spatial distribution change of Artemisia brachyloba Franch and provides decision support for ecological protection planning and management practices.
作者
张娜
魏建兵
刘景琦
张兴义
王玉玺
ZHANG Na;WEI Jianbing;LIU Jingqi;ZHANG Xingyi;WANG Yuxi(Key Laboratory of Eco-restoration of Regional Contaminated Environment,Shenyang University,Shenyang 110044,China;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin 150081,China;Heilongjiang Province Hydraulic Research Institute,Harbin 150080,China)
出处
《生态科学》
CSCD
2022年第4期151-163,共13页
Ecological Science
基金
国家重点科技研发计划重点专项(2017YFC0504204)。
