摘要
利用遥感技术获取城市景观图像,通过坏波段剔除、垂直条纹过滤、大气校正与水陆分离对图像做预处理,改善像元值异常情况,有利于景观格局信息提取;其次选择能从不同角度全面反映景观异质性特征的景观格局指数,计算与其相对数值,并将不同植被类型与土壤层次作为景观格局的重要体现,确定不同植被指数;最后,对乔木层、灌木层和土壤层,分别采集样品计算碳储量,通过仿真结果可知,在城市景观中植被总数与密度较大地区,碳储量也增大,在土壤层中,表层土壤的碳储存能力较强。
This paper studies the impact of urban landscape pattern on carbon storage and spatial distribution.Firstly,using remote sensing technology to obtain urban landscape image,the image is pre-processed through bad band removal,vertical stripe filtering,atmospheric correction and separation of land and water to improve the abnormal pixel value,which is conducive to the extraction of landscape pattern information.Secondly,it selects landscape pattern index that can comprehensively reflect the landscape heterogeneity characteristics from different angles,calculating its relative value,and integrating different vegetation As an important embodiment of the landscape pattern,types determine different vegetation indexes.Finally,vegetation types are divided into tree layer,tree layer and soil layer.Samples are collected respectively to calculate carbon reserves.Through the simulation results,it can be seen that in the areas with large vegetation number and density in the urban landscape,carbon reserves increase,while in the soil layer,the carbon storage capacity of the surface soil is strong.
作者
史淑雅
Shi Shuya(School of Urban Arts, Tianjin Chengjian University, Tianjin 300384, China)
出处
《环境科学与管理》
CAS
2020年第8期24-28,共5页
Environmental Science and Management
基金
天津市教育科学“十三五”规划课题-设计专业拓展学生职业素质的实践研究项目(HEYP5006)。
关键词
城市景观格局
碳储量
空间分布
遥感技术
图像预处理
urban landscape pattern
carbon storage
spatial distribution
remote sensing technology
image preprocessing
