Large-scale Forest Resource Dynamic Monitoring Using Worldview-2 data-A Case Study in Pingtan Island, Fujian Province, China
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作者:
Huang Wei
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Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R ChinaFuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
Huang Wei
[1
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Wang Xiaoqin
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机构:
Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R ChinaFuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
Wang Xiaoqin
[1
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Chen Yunzhi
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机构:
Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R ChinaFuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
Chen Yunzhi
[1
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Zhou Xiaocheng
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Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R ChinaFuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
Zhou Xiaocheng
[1
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Xiao Nengwen
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Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R ChinaFuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
Xiao Nengwen
[1
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机构:
[1] Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Peoples R China
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 0667hm(2) were 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 hm(2) and 1089.6508 hm(2) respectively.
机构:
Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Jiangxi, Peoples R ChinaJiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
Liu, Chong
Xiong, Tianwei
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机构:
Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Jiangxi, Peoples R ChinaJiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
Xiong, Tianwei
Gong, Peng
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机构:
Tsinghua Univ, Ctr Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R ChinaJiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
Gong, Peng
Qi, Shuhua
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机构:
Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Jiangxi, Peoples R ChinaJiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Jiangxi, Peoples R China
机构:
Northeast Forestry Univ, Northeast Asia Biodivers Res Ctr, Harbin, Peoples R China
Northeast Forestry Univ, Coll Life Sci, Harbin, Peoples R ChinaNortheast Forestry Univ, Sch Forestry, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin, Peoples R China
Feng, Fujuan
Zhao, Yinghui
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机构:
Northeast Forestry Univ, Sch Forestry, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin, Peoples R China
Northeast Forestry Univ, Northeast Asia Biodivers Res Ctr, Harbin, Peoples R ChinaNortheast Forestry Univ, Sch Forestry, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin, Peoples R China
机构:
Beijing Normal Univ, Coll Water Sci, Engn Res Ctr Groundwater Pollut Control & Remedia, Minist Educ, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Engn Res Ctr Groundwater Pollut Control & Remedia, Minist Educ, Beijing 100875, Peoples R China
Hu, Litang
Jiao, Jiu Jimmy
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机构:
Univ Hong Kong, Dept Earth Sci, Hong Kong, Hong Kong, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Engn Res Ctr Groundwater Pollut Control & Remedia, Minist Educ, Beijing 100875, Peoples R China
机构:
Univ Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USAUniv Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USA
Edgar, Christopher B.
Westfall, James A.
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机构:
US Forest Serv, Northern Res Stn, Newtown Sq, PA USAUniv Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USA
Westfall, James A.
Klockow, Paul A.
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机构:
Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77845 USAUniv Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USA
Klockow, Paul A.
Vogel, Jason G.
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机构:
Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USAUniv Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USA
Vogel, Jason G.
Moore, Georgianne W.
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机构:
Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77845 USAUniv Minnesota, Dept Forest Resources, 115 Green Hall,1530 N Cleveland Ave, St Paul, MN 55108 USA