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Drought monitoring based on thermal and microwave satellite data

机译:根据热卫星和微波卫星数据进行干旱监测

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The Remote Sensing and Spatial Information Centre - OPOLIS in co-operation with NOAA/NESDIS Satellite Laboratory in Washington and ESA has conducted multidisciplinary studies on impacts of environment on agriculture with application of remote sensing data for several years. Research activities included vegetation monitoring usign NOAA/AVHRR as well as high resolution ERS-2.SAR data. Recently, a successful attempt was launched to use low resolution AVHRR data for early drought detection in Poland. NOAA images have been used to derive Temperature condition Index (TCI) characterising the status of crop development. TCI index represents the relation between actual weekly value of temperature and the temperature, which occurred during both favourable ad stress crop growing conditions in the last decade. The differneces in TCI values and their spatial distribution for the whole country give information where and when the drought has started and how intensive it was. The research also demosntrated that backscattering coefficient calculated from ERS-1/2.SAR data characterises soil moisture condition and can be used for drought detection. Our research has been conducted for cereals and validated through detailed ground measurements. This paper presents the results obtained for1992 (drought conditions), 1994 (mean moisture conditions) and 1998 (favourable moisture conditions) for cereals.
机译:遥感和空间信息中心-OPOLIS与位于华盛顿的NOAA / NESDIS卫星实验室以及欧空局合作,已经通过应用遥感数据对环境对农业的影响进行了多学科研究。研究活动包括使用NOAA / AVHRR进行植被监测以及高分辨率ERS-2.SAR数据。最近,成功进行了尝试,将低分辨率AVHRR数据用于波兰的早期干旱检测。 NOAA图像已用于导出表征作物生长状况的温度条件指数(TCI)。 TCI指数代表实际的每周温度值与温度之间的关系,温度在过去十年中在有利的逆境作物生长条件下均发生。 TCI值的差异及其在整个国家的空间分布可提供有关干旱开始的时间,地点以及强度的信息。研究还表明,根据ERS-1 / 2.SAR数据计算出的反向散射系数可以表征土壤水分状况,可用于干旱检测。我们对谷物进行了研究,并通过详细的地面测量进行了验证。本文介绍了谷物的1992年(干旱条件),1994年(平均水分条件)和1998年(有利水分条件)获得的结果。

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