基于MODIS数据的山东省土壤墒情遥感动态监测与分析
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作者简介:

马建威(1988-),男,河南濮阳人,硕士,研究方向遥感在生态环境等方面的应用研究。E-mail:jwhu@mwr.gov.cn

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P332;P237

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水利部"948"项目"土壤墒情卫星遥感实时监测分析系统技术引进"(201015);水利部公益性行业科研专项"灾难性洪旱回溯模拟及对策评估关键技术研究"(201001078);


Dynamic Remote Sensing Monitoring and Analysis of Soil Moisturein Shandong Province Based on MODIS Data
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    摘要:

    干旱灾害是我国主要的自然灾害之一。近年来,连续性、极端干旱灾害时有发生,对我国粮食安全、饮水安全和生态安全造成严重威胁。土壤墒情是旱情监测的重要指标,遥感技术具有观测范围广、实时性强以及成本低廉等优势,可以广泛应用于土壤墒情监测。本文分析了土壤墒情与地表参数NDVI(归一化植被指数)和LJST(地表温度)的关系,建立了基于NDVI和LST、并考虑土壤类型的土壤墒情遥感监测模型。利用该模型,基于MODIS遥感影像和地面实测墒情,对2010年10月到2011年5月山东省旱情进行了动态监测。监测结果显示:山东省的旱情经历了不断加重,再到逐渐缓解。然后又局部加重。最终全部缓解的过程,干旱核心区为鲁南地区,与实际情况一致。

    Abstract:

    Drought disaster is one of main natural disasters in China. In recent years,continuity and extreme drought disasters occurfrequently , which seriously threaten food security , water salety and ecological securty. Soil moisture is a important factor of droughtmonitoring.Remote sensing technology can be widely used in the soil moisture monitoring with its advantages of larre observation range ,powerful real-time performance and low cost. ln this paper , the relationship between soil moisture , normalized difference vegetation index(NDVI) and land surface temperature (LST) was analyzed , and a remote sensing monitoring soil moisture model was set up based on NDVIand I.ST. In the end,based on MODlS image and ground measured data, a dynamic monitoring of soil moisture was carried out in ShandongProvince from October 2010 to May 2011. The results show that the drought in Shandong Province began in October 2010 , then became moreand more serious ; Due to raining , the drought , eased a little in the end of February 2011 , soon became serious again ; ln may 2011 , thedrought bhasically disappeared. The most serious area of drought is the south Shandong Province. The monitoring results agree with the actualsituation.

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  • 收稿日期:2012-07-11
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  • 在线发布日期: 2022-06-20
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