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Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series

Clauss, Kersten and Yan, Huimin and Künzer, Claudia (2016) Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series. Remote Sensing, 8 (5), pp. 1-22. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs8050434. ISSN 2072-4292.

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Official URL: http://www.mdpi.com/2072-4292/8/5/434


Rice is an important food crop and a large producer of green-house relevant methane. Accurate and timely maps of paddy fields are most important in the context of food security and greenhouse gas emission modelling. During their life-cycle, rice plants undergo a phenological development that influences their interaction with waves in the visible light and infrared spectrum. Rice growth has a distinctive signature in time series of remotely-sensed data. We used time series of MODIS (Moderate Resolution Imaging Spectroradiometer) products MOD13Q1 and MYD13Q1 and a one-class support vector machine to detect these signatures and classify paddy rice areas in continental China. Based on these classifications, we present a novel product for continental China that shows rice areas for the years 2002, 2005, 2010 and 2014 at 250-m resolution. Our classification has an overall accuracy of 0.90 and a kappa coefficient of 0.77 compared to our own reference dataset for 2014 and correlates highly with rice area statistics from China’s Statistical Yearbooks (R2 of 0.92 for 2010, 0.92 for 2005 and 0.90 for 2002). Moderate resolution time series analysis allows accurate and timely mapping of rice paddies over large areas with diverse cropping schemes.

Item URL in elib:https://elib.dlr.de/104388/
Document Type:Article
Title:Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Clauss, KerstenKersten.Clauss (at) dlr.dehttps://orcid.org/0000-0002-0028-4125
Yan, HuiminInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:23 May 2016
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-22
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Remote Sensing
Keywords:rice, China, MODIS, time series , SVM, OCSVM, agriculture, change detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Clauss, Kersten
Deposited On:31 May 2016 08:18
Last Modified:14 Dec 2019 04:26

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