Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data
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 whe...
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doaj-43f1c8c762a94e418e5ccd118ade0fb32021-06-08T04:37:19ZengElsevierJournal of Integrative Agriculture2095-31192017-02-01162348359Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS dataJian-bin TAO0Wen-bin WU1Yong ZHOU2Yu WANG3Yan JIANG4Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R. ChinaKey Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R. China; Correspondence WU Wen-binKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R. ChinaKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R. ChinaKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R. ChinaBy 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.http://www.sciencedirect.com/science/article/pii/S2095311915613041time-series MODIS dataphenological featurepeak before winteringwinter wheat mapping |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian-bin TAO Wen-bin WU Yong ZHOU Yu WANG Yan JIANG |
spellingShingle |
Jian-bin TAO Wen-bin WU Yong ZHOU Yu WANG Yan JIANG Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data Journal of Integrative Agriculture time-series MODIS data phenological feature peak before wintering winter wheat mapping |
author_facet |
Jian-bin TAO Wen-bin WU Yong ZHOU Yu WANG Yan JIANG |
author_sort |
Jian-bin TAO |
title |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data |
title_short |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data |
title_full |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data |
title_fullStr |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data |
title_full_unstemmed |
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data |
title_sort |
mapping winter wheat using phenological feature of peak before winter on the north china plain based on time-series modis data |
publisher |
Elsevier |
series |
Journal of Integrative Agriculture |
issn |
2095-3119 |
publishDate |
2017-02-01 |
description |
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. |
topic |
time-series MODIS data phenological feature peak before wintering winter wheat mapping |
url |
http://www.sciencedirect.com/science/article/pii/S2095311915613041 |
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