摘要
在土地资源匮乏的山区,泥石流堆积扇作为一种宝贵的土地资源,是人们进行生产生活的主要场所.但泥石流堆积扇具有不稳定性,使得泥石流堆积扇的土地利用具有高风险性.因此,对泥石流堆积扇的土地利用模型进行分析很有必要.随着遥感技术的不断发展,以及中国对地高分辨率观测系统的不断完善,使利用高分辨率遥感影像对特定区域的土地利用方式进行小尺度研究成为可能.文章采用高分二号遥感影像、数字高程模型、GIS技术并结合外业调查验证的方式,对小江流域内196个泥石流堆积扇的土地利用模式及其高程关联特性、百分比坡度关联特性进行了分析.此外,利用泥石流扇土地利用开发分层模式对泥石流扇的开发进行初步风险分析得出,研究区内泥石流扇的土地利用方式主要以风险较小的初级开发模式为主.
In mountainous areas where land resources are scarce,debris flow fans as a valuable land resource,are the main places for people’s production and life.However,debris flow fans are unstable,which leads to high risks of making use of the debris flow fan land.Therefore,it is necessary to analyze the land use model of debris flow fans.With the continuous development of remote sensing technology and the continuous improvement of China’s high-resolution earth observation system,it is possible to use high-resolution remote sensing images for small-scale study of land use patterns in specific areas.In this paper,the land use patterns,elevation correlation characteristics and percentage slope correlation characteristics of 196 debris flow fans in Xiaojiang River Basin were comprehensively analyzed by using GF2 remote sensing images,digital elevation models,GIS technology and field investigations.In addition,by using the stratified mode of debris flow fan land use,it is found out that the main land use mode of debris flow fans in Xiaojiang River Basin is a primary development mode at little risk.
作者
张雄浩
甘淑
袁希平
王利华
杨敏
陈轩
ZHANG Xiong-hao;GAN Shu;YUAN Xi-ping;WANG Li-hua;YANG Min;CHEN Xuan(Land Resources and Engineering Faculty of Kunming University of Science and Technology,Kunming 650093,China;Plateau Mountain Survey Technique Application Engineering Research Center at Yunnan Province’s Universities,Kunming 650093,China;Surveying and Mapping Engineering Institute of Yunnan Province,Kunming 650033,China)
出处
《云南大学学报（自然科学版）》
CAS
CSCD
北大核心
2020年第3期499-506,共8页
Journal of Yunnan University(Natural Sciences Edition)
基金
国家自然科学基金(41861054,41561083).
关键词
泥石流堆积扇
小江流域
遥感解译
土地利用
空间分布
debris flow fans
Xiaojiang River Basin
remote sensing interpretation
land use
spatial distribution
