Large-scale Forest Resource Dynamic Monitoring Using Worldview-2 data—A Case Study in Pingtan Island, Fujian Province, China

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Wei, Huang^1 ; Xiaoqin, Wang^1 ; Yunzhi, Chen^1 ; Xiaocheng, Zhou^1 ; Nengwen, Xiao^1

Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou, China^1

关键词: Classification accuracy;    High spatial resolution;    Homogeneous objects;    Object oriented classification;    Overall accuracies;    Remote sensing technology;    Supervised classification;    Visual interpretation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012075/pdf
DOI  :  10.1088/1755-1315/17/1/012075

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Due to its capacity to describe detailed information., high spatial resolution remote sensing technology has been used increasely in forest resource dynamic monitoring, especially at large scale. Based on 0.5m resolution Worldview-2 data and 1:10000 forest stand-wise vector data, monitoring on forest resource dynamic during 2010-2011 in Pingtan Island is carried out. Object-oriented classification method was adopted. Firstly, multi-resolution segmentation was done on Worldview-2 image, which produced two levels of objects. The boundary of objects at the first level corresponded to boundary of individual polygon in the forest stand-wise data coverage. The more homogeneous objects at the second level were smaller and within the objects at the first level. Then, hierarchical supervised classification was used to classify the second-level objects. The objects were assigned to seven different thematic layers according to the attribute of land use types of forest stand-wise data, then object samples were selected for supervised classification to identify the change of objects in each layer. Changed objects larger than 0.0667hm2were preserved and used for dynamics analysis. The classification accuracy was assessed by field survey and one-by-one visual interpretation. The result indicated that the overall accuracy was 90.85%. Forest in Pingtan Island had changed greatly during 2010-2011, area of forest increase and decrease is 2314.7817 hm2and 1089.6508 hm2respectively.