Abstract

In the process of slag area in hydropower projects, the ground will be disturbed strongly, and a large amount of spoil slag will be generated, resulting in serious soil erosion. Therefore, the monitoring of soil and water conservation in the slag area of hydropower projects is particularly important. Tradition al ground monitoring cannot fully meet the needs of current monitoring work. UAV technology is more efficient than traditional technology,. Through periodic aerial photography and post-modeling, combining with ArcGIS, provides enhanced data analysis support for UAV data analysis. Taking the 1# slag yard of a hydropower station in Dadu River as an example, this paper discusses the applicability of UAV and ArcGIS technology in soil and water conservation monitoring of large hydropower project slag area. The effective way of maintaining information, while improving the monitoring efficiency of soil and water conservation, can ensure that the monitoring data and the Soil erosion error control are within 10%, making up for the traditional technical ways that is insufficient in the monitoring of soil and water conservation in the large-scale hydropower project slag yard.In recent years, the state has paid more and more attention to the construction of ecological civilization. As an important part of ecological civilization construction, soil and water conservation work has become more and more important. As an important part of soil and water conservation work, soil and water conservation monitoring is the basis for ecological restoration and comprehensive management of soil and water conservation, and is a powerful guarantee for national ecological construction decision-making [1]. In recent years, the application of remote sensing technology for UAVs is for production and construction. The project of soil and water conservation monitoring work provides a new technical way [2-4]. UAV operation has high automation and precision, and it is targeted. Some models have reached the application-level standards, and with the rapid progress of software and hardware technology, it is greatly improving the post-processing applicability of aerial image data, making drones widely used in aerial photography, agriculture, plant protection and monitoring. Torres-Sánchez et al [5], Francisco et al [6] use low-altitude high-resolution drone remote sensing imagery to carry out on precision agriculture and agricultural pest control. Mitch Bryson et al. [7] used low-altitude visible drone images to study vegetation type classification based on vegetation color and texture characteristics. Sebastian d’Oleire—Oltmanns et al. [8] used high-altitude drone aerial imagery to complete the monitoring of soil erosion in Morocco, providing a reference for soil and water.

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