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基于Landsat8衛(wèi)星數(shù)據(jù)的蝗蟲遙感監(jiān)測方法研究
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國家自然科學(xué)基金資助項目（41371326,、31471762）


Locust Remote Sensing Monitoring Methods Based on Landsat8 Satellite Data
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    摘要:

    區(qū)域性的蝗蟲災(zāi)害對農(nóng)業(yè)生產(chǎn)形成了巨大的危害。實現(xiàn)對蝗蟲的發(fā)生發(fā)展的實時監(jiān)測對于治蝗防蝗具有重要意義。以內(nèi)蒙古赤峰市北部三旗為研究區(qū)域，通過對Landsat8 OLI 衛(wèi)星數(shù)據(jù)蝗蟲寄主植物分類,，結(jié)合疊加先驗蝗區(qū)分布圖，判別出蝗蟲適生地,。然后,，采用Landsat8衛(wèi)星數(shù)據(jù)，反演葉面積指數(shù),、地表溫度和土壤濕度等蝗蟲生境參數(shù),，并結(jié)合外業(yè)同步調(diào)查蝗蟲生境數(shù)據(jù)、地表覆蓋數(shù)據(jù),、歷史蝗災(zāi)數(shù)據(jù)等進(jìn)行分析與建模,。同時，利用逐步回歸分析得到了蝗蟲蟲口密度與葉面積指數(shù),、地表溫度和土壤濕度等生境參數(shù)的關(guān)系模型,，驗證結(jié)果表明，監(jiān)測模型具有較高的精度,，決定系數(shù)為0.50,，均方根誤差為3.17。

    Abstract:

    Regional locust does great harm to agricultural production. Real-time monitoring of the development of locust is of great significance for the locust control. We took three counties in northern Chifeng City of Inner Mongolia as the study area. Firstly, we classified locust host plants by using the sophisticated remote sensing classification algorithm on the Landsat8 OLI data, overlapped with prior locust distribution regions, and distinguished the locust suitable bases regions. Then, we retrieved some important locust habitat parameters, such as leaf area index, land surface temperature and soil moisture by using Landsat8 satellite data. Meanwhile, the synchronous investigation data, land cover data, historical locust hazard data were combined for analysis and modeling. Finally, we used stepwise regression analysis to obtain the relationship between locust density and leaf area index, land surface temperature and soil moisture. The model results showed a high accuracy with R2 of 0.50 and RMSE of 3.17. It is indicated that the Landsat8 satellite data has a certain potential in locust remote sensing monitoring, and the research provides an important reference for similar studies.

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黃健熙,卓文,楊春喜,李林,張超,劉佳.基于Landsat8衛(wèi)星數(shù)據(jù)的蝗蟲遙感監(jiān)測方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報,2015,46(5):258-264. Huang Jianxi, Zhuo Wen, Yang Chunxi, Li Lin, Zhang Chao, Liu Jia. Locust Remote Sensing Monitoring Methods Based on Landsat8 Satellite Data[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(5):258-264.

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  • 收稿日期:2014-09-28
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  • 在線發(fā)布日期: 2015-05-10
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