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作 者:干晓宇 唐江川 鲁岩[2] 刘琳[3] 刘伟[3] 侯众[2] 张绪校[2] 李林 秦盼 GAN Xiao-yu;TANG Jiang-chuan;LU Yan(Sichuan University,Chengdu,Sichuan 610065;Sichuan General Grassland Station,Chengdu,Sichuan 610041)
机构地区:[1]四川大学,四川成都610065 [2]四川省草原工作总站,四川成都610041 [3]四川农业大学,四川成都611130 [4]成都大地吉信科技有限公司,四川成都610072
出 处:《安徽农业科学》2019年第24期82-87,共6页Journal of Anhui Agricultural Sciences
基 金:成都市哲学社会科学规划项目(2015R03)
摘 要:构建以遥感参数为主的天然草地及其草地类的解译指标体系,能够高效快速地提取天然草地资源的现状特征。以四川省天然草地为研究对象,利用多源遥感技术,提取四川省3州(甘孜、阿坝、凉山)及四川盆地周边地区天然草地解译标志。结果表明,利用近红外波段、红光波段及绿光波段指标,配合温度、湿度、降水等非遥感指标构建的解译指标体系,能够很好地提取四川省的5类主要天然草地类的分布特征,其解译精度为89.7%。此研究为接下来的四川省天然草地资源清查工作提供了技术支持。Constructing the interpretation index system of natural grassland and classes of grassland based on remote sensing parameters can effectively and rapidly extract the current characteristics of natural grassland resources.In this paper,the natural grassland in Sichuan Province was taken as the research object,and multi-source remote sensing technology was used to extract the interpretation signs of natural grassland in the three prefectures and the surrounding areas of Sichuan Province.The results showed that the interpretation index system based on near infrared band,red band and green band,combined with non-remote sensing indicators such as temperature,humidity and precipitation,could extract the distribution characteristics of five main natural grassland types in Sichuan Province.The overall accuracy was 89.7%.The results provided technical support for the following natural grassland resources inventory work in Sichuan Province.
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