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基于MODIS數(shù)據(jù)的冬小麥種植面積快速提取與長勢監(jiān)測
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國家自然科學基金資助項目（41001246,、40930101,、41001049）;國家重點基礎研究發(fā)展計劃（973計劃）資助項目（2010CB951500）;國際科技合作資助項目（2010DFB10030）;中央級公益性科研院所專項資金資助項目（IARRP—2010—02);農(nóng)業(yè)部“全國農(nóng)業(yè)遙感監(jiān)測農(nóng)業(yè)預警”資助項目


Monitoring of Planting Area and Growth Condition of Winter Wheat in China Based on MODIS Data
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    摘要:

    利用MODIS—NDVI數(shù)據(jù),，以中國冬小麥主產(chǎn)區(qū)為例，探討了基于遙感影像全覆蓋的大尺度冬小麥種植面積遙感綜合自動識別及長勢監(jiān)測的方法,。通過分析冬小麥的種植結構,、物候歷特征及其生物學特性和時序NDVI曲線特征,，確定了冬小麥信息提取的NDVI閾值,，建立了冬小麥面積提取模型，并最終獲取了2010—2011年中國農(nóng)情遙感監(jiān)測中冬小麥長勢監(jiān)測所需的空間分布數(shù)據(jù),，與多年平均統(tǒng)計數(shù)據(jù)比較,，總體精度達到81%以上?；谔崛〉亩←溍娣e信息空間分布數(shù)據(jù),，利用MODIS—NDVI差值模型，對冬小麥2011年的長勢進行監(jiān)測,。結果表明,，與近5年平均狀況對比，2011年冬小麥在其整個生育期內(nèi)長勢基本與常年持平,，但時空分布差異較大,。

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    Taking winter wheat in China as an example, large-scale crop planting areas automatic identification methods were researched based on time-series of MODIS—NDVI datasets. The characteristics of NDVI time series of winter wheat in China were firstly analyzed, and then the threshold values of extracting crop planting area were set and the extraction models of winter wheat were established, finally spatial distribution of winter wheat of 2010—2011 was obtained, the results showed that the extraction accuracy of winter wheat planting area was more than 81% compared with the average statistical data obtained in years. MODIS data of China in 2011 were used to monitor the growth condition of winter wheat, and the growth condition was compared with the average crop growth of the last five years. Results show that winter wheat growth condition has different characteristics both in spatial and temporal.

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黃青,李丹丹,陳仲新,劉佳,王利民.基于MODIS數(shù)據(jù)的冬小麥種植面積快速提取與長勢監(jiān)測[J].農(nóng)業(yè)機械學報,2012,43(7):163-167. Huang Qing, Li Dandan, Chen Zhongxin, Liu Jia, Wang Limin. Monitoring of Planting Area and Growth Condition of Winter Wheat in China Based on MODIS Data[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(7):163-167.

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  • 在線發(fā)布日期: 2012-07-02
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