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Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014
Li, Mengna1; Li, Congcong1; Jiang, Hong1; Fang, Chengyuan1; Yang, Jun1; Zhu, Zhiliang1; Shi, Lei1; Liu, Shirong1; Gong, Peng1
刊名International Journal of Remote Sensing
2016
卷号37期号:7页码:1714-1729
关键词LAND-COVER CLASSIFICATION RESOURCE LIMITATIONS MODEL FOREST STAND PACIFIC-NORTHWEST ICESAT/GLAS GLAS OPTIMIZATION ECOSYSTEM SYSTEM RADAR
通讯作者Gong, Peng (penggong@mail.tsinghua.edu.cn)
英文摘要Bamboo is an important vegetation type and provides a number of critical ecosystem services. Reliable and consistent information on bamboo distribution is required to better estimate its effect on climate change mitigation and socio-economic development. However, such information is rare over a large spatial area. In this study, we evaluate the contribution of different features in the identification of bamboo stands and determine a more discriminative set of features. We propose a bamboo mapping system including feature extraction and feature selection and derive the long-term trends of bamboo distribution in Zhejiang Province, China, using time-series of Landsat data from 1990 to 2014, with an increment of 5 years (1990, 1995, 2000, 2005, 2010, and 2014). The resultant maps of bamboo in the six epochs were evaluated using independent validation samples. The overall accuracies (OAs) of all six epochs range from 85.9% to 90.7%. We found that bamboo distribution in Zhejiang substantially increased from 1990 to 2014, particularly during the 2000s. Based on the produced maps, the area of bamboo in this region increased from 5363 ± 490 km2in 1990 to 11671 ± 653 km2in 2014, which is consistent with the National Forest Resource Inventory (NFRI) data. Our study demonstrates the capability of time-series of Landsat data for continuous monitoring of bamboo at a large spatial scale. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
学科主题Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:20161502232788
内容类型期刊论文
源URL[http://ir.radi.ac.cn/handle/183411/39329]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
2. Ministry of Education Key Laboratory for Earth System Modelling, Centre for Earth System Science, Tsinghua University, Beijing, China
3. The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang Agriculture and Forest University, Lin’an, China
4. US Geological Survey, Reston
5.VA, United States
6. International Centre for Bamboo and Rattan, State Forestry Administration of the People’s Republic of China, Beijing, China
推荐引用方式
GB/T 7714
Li, Mengna,Li, Congcong,Jiang, Hong,et al. Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014[J]. International Journal of Remote Sensing,2016,37(7):1714-1729.
APA Li, Mengna.,Li, Congcong.,Jiang, Hong.,Fang, Chengyuan.,Yang, Jun.,...&Gong, Peng.(2016).Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014.International Journal of Remote Sensing,37(7),1714-1729.
MLA Li, Mengna,et al."Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014".International Journal of Remote Sensing 37.7(2016):1714-1729.
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