基于国产高分影像的浙江省湿地资源动态监测  

Dynamic Monitoring of Wetland Resources in Zhejiang Province Based on Domestic High-Resolution Image

作　　者：张小伟[1,2] 吴伟志 王海龙[2] 梁立成 ZHANG Xiaowei;WU Weizhi;WANG Hailong;LIANG Licheng(Zhejiang Forest Resources Monitoring Center,Hangzhou 310020,China;Zhejiang Forestry Survey Planning and Design Company Limited,Hangzhou 310020,China)

机构地区：[1]浙江省森林资源监测中心,杭州310000 [2]浙江省林业勘测规划设计有限公司,杭州310000

出　　处：《自然保护地》2021年第4期72-79,共8页Natural Protected Areas

基　　金：浙江省湿地资源动态监测项目。

摘　　要：在浙江省第二次湿地资源调查的基础上,基于国产高分影像(GF-1、GF-2、ZY-3),采用eCognition软件中面向对象分类的方法,进行2016—2018年度湿地资源的动态监测。研究结果发现,基于Arc-GIS和SPOT-5影像的分类精度明显低于采用eCognition和GF-1、GF-2、ZY-3影像的分类精度;采用eCognition和GF-1、GF-2、ZY-3影像结合的前期矢量数据进行湿地资源分类具有明显优势,精度高、影像资源丰富、时效性强、经济成本低;按照《关于特别是作为水禽栖息地的国际重要湿地公约》统计口径,2012—2018年浙江省湿地面积下降1.66%,总体保持平稳,但呈现稳中有降的趋势,湿地资源保护和修复有待加强。Based on the second survey of wetland resources in Zhejiang Province and the domestic high-resolution images(GF-1,GF-2,ZY-3),the dynamic monitoring of wetland resources in 2016~2018 was carried out by using the object-oriented classification method in eCognition.The research showed that the classification accuracy based on eCognition,GF-1,GF-2,and ZY-3 images is significantly superior to that based on ArcGIS and SPOT-5 images.Using eCognition,GF-1,GF-2 and ZY-3 images combined with previous vector data had obvious advantages in wetland resource classification such as higher accuracy,more abundant resources,more intense timeliness,and lower economic costs.According to The Ramsar Convention,the wetland areas of Zhejiang province have remained stable,showing a trend of declining from 2012-2018.Protection and restoration of wetland resources need to be strengthened in Zhejiang Province.

关 键 词：湿地资源 动态监测 国产高分影像 ECOGNITION 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] X87[自动化与计算机技术—控制科学与工程]