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Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data

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WOS被引频次:2
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成果类型:
期刊论文
作者:
Tao Jian-bin;Wu Wen-bin;Zhou Yong;Wang Yu;Jiang Yan
通讯作者:
Wu, WB
作者机构:
[Jiang Yan; Tao Jian-bin; Wu Wen-bin; Wang Yu; Zhou Yong] Cent China Normal Univ, Sch Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
[Tao Jian-bin; Wu Wen-bin] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
通讯机构:
[Wu Wen-bin] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
[Wu Wen-bin] Cent China Normal Univ, Sch Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
time-series MODIS data;phenological feature;peak before wintering;winter wheat mapping
期刊:
Journal of Integrative Agriculture
期刊(中文):
农业科学学报(英文版)
ISSN:
2095-3119
年:
2017
卷:
16
期:
2
页码:
348-359
文献类别:
WOS:Article
所属学科:
ESI学科类别:农业科学;WOS学科类别:Agriculture, Multidisciplinary
入藏号:
基金类别:
supported by the open research fund of the Key Laboratory of Agri-informatics,Ministry of Agriculture and the fund of Outstanding Agricultural Researcher,Ministry of Agriculture,China;
机构署名:
本校为通讯机构
院系归属:
城市与环境科学学院
摘要:
By employing the unique phenological feature of winter wheat extracted from peak before winter (PBW) and the advantages of moderate resolution imaging spectroradiometer (MODIS) data with high temporal resolution and intermediate spatial resolution, a remote sensing-based model for mapping winter wheat on the North China Plain was built through integration with Landsat images and land-use data. First, a phenological window, PBW was drawn from time-series MODIS data. Next, feature extraction was performed for the PBW to reduce feature dimension and enhance its information. Finally, a regression model was built to model the relationship of the phenological feature and the sample data. The amount of information of the PBW was evaluated and compared with that of the main peak (MP). The relative precision of the mapping reached up to 92% in comparison to the Landsat sample data, and ranged between 87 and 96% in comparison to the statistical data. These results were sufficient to satisfy the accuracy requirements for winter wheat mapping at a large scale. Moreover, the proposed method has the ability to obtain the distribution information for winter wheat in an earlier period than previous studies. This study could throw light on the monitoring of winter wheat in China by using unique phenological feature of winter wheat.
参考文献:
China, INT J APPL EARTH OBS, V10, P403
SHANNON CE, 1948, BELL SYST TECH J, V27, P623, DOI 10.1002/j.1538-7305.1948.tb00917.x
Solano R., 2010, MODIS VEGETATION IND, P1
Tang HuaJun, 2010, Scientia Agricultura Sinica, V43, P2879
Wardlow BD, 2008, REMOTE SENS ENVIRON, V112, P1096, DOI 10.1016/j.rse.2007.07.019

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