首页> 外文会议>Conference on remote sensing for agriculture, ecosystems, and hydrology XIX >Evaluation of crop development stages with TerraSAR-X backscatter signatures (2010-12) by using Growing Degree Days
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Evaluation of crop development stages with TerraSAR-X backscatter signatures (2010-12) by using Growing Degree Days

机译:利用生长度日使用Terrasar-X反向散射签名评估作物开发阶段(2010-12)

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TerraSAR-X images have been tested for agricultural fields of corn and wheat. The main purpose was to evaluate the impact of daily temperatures in crop development to optimize climate induced factors on the plant growth anomalies. The results are completed by utilizing Geographic Information Science, e.g. tools of ArcMap 10.3.1 and databases of ground truth and meteorological information. Synthetic Aperture Radar (SAR) images from German Aerospace Center (DLR) are acquired and the field survey datasets are sampled, each per month for three years (2010-2012) but only for the crop seasons (April-October). Correlation between SAR images and farmland anomalies is investigated in accordance with daily heat accumulations and a comparison of the three years' SAR backscatter signatures is explained for corn and wheat. Finding the influence of daily temperatures on crops and hence on the TerraSAR-X backscatter is developed by Growing Degree Days (GDD) which appears to be the most suitable parameter for this purpose. Observation of GDD permits that the coolest year was 2010, either rest of the years were warmer and GDD accumulated in 2011 was higher as compared to that of 2012 in the first half of the year, however 2012 had rather more heat accumulation in the second half of the year. SAR backscatter from farmland depicts the crop development stages which depend upon the time when satellite captures data during the crop season. It varies with different development stages of crop plants. Backscatter of each development stage changes as the roughness and the moisture content (dielectric property) of the plants changes and local temperature directly impacts crop growth and hence the development stages.
机译:Terrasar-X图像已被测试为玉米和小麦的农业领域。主要目的是评估日常温度在作物发展中的影响,优化气候诱导植物生长异常因素。结果通过利用地理信息科学完成,例如, ArcMap 10.3.1的工具和地面真理和气象信息的数据库。获取德国航空航天中心(DLR)的合成孔径雷达(SAR)图像,并将现场调查数据集进行采样,每月每月三年(2010-2012),但仅适用于作物季节(四月至十月)。根据日常蓄热调查了SAR图像和农田异常之间的相关性,并对三年的SAR后散签发进行了比较,用于玉米和小麦。通过生长度天(GDD)开发了发现每日温度对作物的影响,从而开发了Terrasar-X反向散射,这似乎是最合适的参数。观察GDD允许最酷的一年是2010年,多年来的余地是较温暖的,而2011年累计的GDD比2012年上半年的累计较高,但2012年下半年在下半年举出了更多的热量积累一年。来自农田的SAR反向散射描绘了作物发展阶段,这取决于卫星在作物季节期间捕获数据的时间。它随着农作物植物的不同发展阶段而异。每个发育阶段的反向散射变化随着植物的粗糙度和植物的水分含量(介电性能)变化,局部温度直接影响作物生长并因此成为发展阶段。

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