摘要
以海峡西岸经济区高速公路网规划项目中的兴尤高速尤溪县境内路段中心线两侧10 km范围作为研究区域,以遥感图像为主要信息源,整合多元数据并结合野外线路调查和样方调查的结果,再采用非监督分类、监督分类、叠加分类3种遥感解译手段对该评价区的遥感图像进行植被类型解译与制图,最终将该评价区的土地类型分为:针叶林、阔叶林、毛竹、经济林、农田、农村用地、水体7类,并且将3种解译方法的结果进行比较.研究结果表明叠加分类的解译结果最符合研究区实际植被情况,解译精度也最高.
The research area was 10 km on both sides of the segment of Xingyou expressway within the boundary of Youxi county.The expressway is one the projects of expressway network plan of the economic zone on the west side of the straits.Remote sensing images were the main source of information,the multivariate data were integrated as well as combined the results of wild quadrats and lines investigation,then with the help of unsupervised classification,supervised classification,and overlay classification these three methods of remote sensing interpretation,the remote sensing image of this evaluation region are vegetation interpreted and mapped.Ultimately the evaluation region is divided into 7 land types:coniferous forest,broadleaf forest,moso bamboo,economic forest,farmland,rural land and water.Comparing the results of these three methods of the interpretation,it shows that the interpretation result of overlay classification is the most accordant one to the real situation as well as the highest interpretation accuracy.
出处
《福建师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2011年第4期131-137,共7页
Journal of Fujian Normal University:Natural Science Edition
基金
福建省自然科学基金资助项目(DO610006)
关键词
植被解译
高速公路
非监督分类
监督分类
叠加分类
vegetation interpretation
expressway
unsupervised classification
supervised classification
overlay classification