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题名: A new approach for land cover classification and change analysis: Integrating backdating and an object-based method
作者: Yu, Wenjuan; Zhou, Weiqi; Qian, Yuguo; Yan, Jingli
刊名: REMOTE SENSING OF ENVIRONMENT
出版日期: 2016-05
卷号: 177, 期号:0, 页码:37-47
关键词: Land cover classification ; Change analysis ; Backdating ; Object-based method ; Beijing
DOI: 10.1016/j.rse.2016.02.030
部门归属: 城市与区域生态国家重点实验室
英文摘要: Accurate information on land use and land cover (LULC) change is crucial for ecosystem monitoring and environmental change studies. Updating/backdating approaches have been increasingly used for LULC classification and change analysis, but mostly based on pixels. Here, we presented a new approach, an object-based backdating approach which integrates the backdating approach with an object-based method, and further compared it with the pixel-based backdating approach. We tested the new approach by using Landsat TM data collected in 2001 and 2009 at the Beijing metropolitan region. We found that: 1) an object-based backdating approach achieved higher accuracy for change detection, LULC classification and change analysis than the pixel-based backdating approach. With the object-based approach, the overall accuracies for the classification and change analysis were 84.33% (versus 69.33% for a pixel-based approach), and 80.00% (versus 70.50% for a pixel-based approach), respectively. 2) The object-based backdating approach greatly increases the efficiency because classification and change analysis are only conducted for locations with changes. The increase in efficiency is particularly important for LULC classification and change analysis conducted at a large area, for example, at the national or global scale. (C) 2016 Elsevier Inc. All rights reserved.
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内容类型: 期刊论文
URI标识: http://ir.rcees.ac.cn/handle/311016/35518
Appears in Collections:城市与区域生态国家重点实验室_期刊论文

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Recommended Citation:
Yu, Wenjuan,Zhou, Weiqi,Qian, Yuguo,et al. A new approach for land cover classification and change analysis: Integrating backdating and an object-based method[J]. REMOTE SENSING OF ENVIRONMENT,2016,177(0):37-47.
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