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Control of farmer statements integrated in national farmer register system by remote sensing data

机译：通过遥感数据控制纳入全国农民登记系统的农民声明

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It is necessary to monitor the crop pattern in parcel level and to obtain the data having agricultural statistic value to ensure that the national agricultural policies are implemented in a more rational and effective way. It is known that the most common means used to apply agricultural policies are premium - support systems. However, inaccuracies in crop pattern statements of producer, deviations in the amount of cultivated area and erroneous the yield declarations prevent to apply the premium support system in an effective way. Therefore, monitoring of agricultural crop pattern in parcel level is of a vital importance. The effective monitoring of agricultural crop pattern can only be possible by means of using in conjunction withGeographic Information System (GIS) and Remote Sensing (RS) data. In this project that is a pilot study, cotton production, one of the most common of agricultural products in the Aegean Region, is selected as crop pattern example. In this project, the agricultural parcels digitized by General Directorate of Agricultural Reform (GDAR) are used as a basis. Information system of agricultural parcels are integrated with Farmer Registration System (FRS) data containing statement information to gain the farmer statement information belonging to each agricultural parcel as an attribute data. Rapid Eye and SPOT satellite images covering an area of 11.179 km2 are used to monitor the crop pattern in parcel level and perform the farmer statement checks. Shooting of satellite images was made in August when land cover ratio of the cotton plant is the highest stage. The results obtained from this pilot project are shown that applied method may be used to monitor other common agricultural products and to control the farmer statements.
机译：有必要在地块水平上监测作物种植方式，获取具有农业统计价值的数据，以确保国家农业政策得到更合理有效的实施。众所周知，用于实施农业政策的最常见手段是优质支持系统。但是，由于生产者的作物形态说明不准确，耕种面积的偏差以及单产申报的错误，无法有效地应用优质支持系统。因此，在地块水平上监测农业作物格局至关重要。只有结合使用地理信息系统（GIS）和遥感（RS）数据，才能对农业作物格局进行有效监控。在该项目的试验研究中，棉花生产是爱琴海地区最常见的农产品之一，被选作作物模式的例子。在该项目中，以农业改革总局（GDAR）数字化的农业地块为基础。农业地块的信息系统与包含声明信息的农民注册系统（FRS）数据集成在一起，以获得属于每个农业地块的农民的声明信息作为属性数据。面积为11.179 km2的Rapid Eye和SPOT卫星图像用于监视包裹级别的作物模式并执行农夫声明检查。 8月，当棉花工厂的土地覆盖率达到最高水平时，进行了卫星图像的拍摄。从该试点项目获得的结果表明，所应用的方法可用于监视其他常见农产品并控制农民的声明。

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