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Using digital elevation models in agroclimatology:determination of potential frost-risk territories

机译:在农业气候学中使用数字高程模型:确定潜在的霜冻风险地区

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Nowadays more and more hypothesis come out that the frost-risk decreases in Hungary and the importance of late spring frosts become negligible on account of the global climate change. But the result of climate data processing opposes this idea. According to the measurements of the Hungarian Meteorological Service, in the last decades (mainly in April) the frost frequency and intensity increased significantly. The day of the last frost is pushed later and later time. This tendency is very dangerous at the beginning of the growing season. These results flashed, that very important to determine the potential frost-risk lands.Determination of potential frost-risk territories practically means the determination of cold air lakes. The method based on the 90m-resolution SRTM (Shuttle Radar Topography Mission)digital elevation model and the primary and secondary terrain parameters. We used the SAGA (System for Automated Geo-scientific Analysis) and DIGEM (Digitales Gelande-Modell) software to produce input parameters, ArcView 3.2 and AV Spatial Analyst software to create rastercategory maps and spatial analysis and the SURFER 8 software to visualization. We demonstrate this method on the Southern-Balaton Winery (Hungary) as a sample area. The verification was done with satellite remote sensing techniques (with using land surface temperature data was calculated from NOAA-AVHRR images).
机译:如今,越来越多的假设表明匈牙利的霜冻风险在降低,而由于全球气候变化,春末霜冻的重要性可以忽略不计。但是气候数据处理的结果与这一想法相反。根据匈牙利气象局的测量,在过去的几十年(主要是4月)中,霜冻的频率和强度大大增加。上一次霜冻的日子会被推迟。在生长季节开始时,这种趋势非常危险。这些结果闪过,对于确定潜在的霜冻危险土地非常重要。确定潜在的霜冻危险区域实际上意味着确定冷空气湖泊。该方法基于90m分辨率SRTM(航天飞机雷达地形任务)数字高程模型以及主要和次要地形参数。我们使用SAGA(自动地球科学分析系统)和DIGEM(数字Gelande-Modell)软件生成输入参数,使用ArcView 3.2和AV Spatial Analyst软件创建栅格类别地图和空间分析,并使用SURFER 8软件进行可视化。我们在Southern-Balaton酒厂(匈牙利)上演示了此方法作为示例区域。验证是通过卫星遥感技术完成的(使用从NOAA-AVHRR图像计算出的地表温度数据)。

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