首页> 外文会议>International symposium on multispectral image processing and pattern recognition;MIPPR 2011 >Spring drought monitoring in Hebei plain based on a modified apparent thermal inertia method
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Spring drought monitoring in Hebei plain based on a modified apparent thermal inertia method

机译:基于改进表观热惯性的河北平原春季干旱监测

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Drought is one of the major environmental disasters in China. With the development of geographical information system and remote sensing technology, the real time monitoring drought over the large areas can be achieved. In this paper, the modified apparent thermal inertia (ATI) method was applied to monitor the drought while the traditional method was mainly used in bare soil and sparse vegetation. Taking Hebei plain as the study area, this paper calculated the apparent thermal inertia of all pixels firstly, and then got the lkm resolution classification result aggregated from 30m CCD data of HJ-1 satellite. Through analyzing the fine resolution classification result, the pure pixels were mask and the apparent thermal inertia was calculated. At last, the ATI values of all pixels were interpolated from the ATI of pure pixels via ARCGIS software. The application of the model to the announcement from Meteorological Bureau has given consistent results.
机译:干旱是中国的重大环境灾难之一。随着地理信息系统和遥感技术的发展,可以实现大面积干旱的实时监测。本文采用改进的表观热惯性(ATI)方法监测干旱,而传统方法主要用于裸土和稀疏植被。本文以河北平原为研究区域,首先计算了所有像素的视在惯性,然后从HJ-1卫星的30m CCD数据得到了1km分辨率分类结果。通过分析高分辨率分类结果,将纯像素作为掩模并计算了表观热惯性。最后,通过ARCGIS软件从纯像素的ATI内插所有像素的ATI值。该模型在气象局公告中的应用已获得一致的结果。

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