Оценка состояния подземных инженерных сооружений мелиоративной системы с помощью карт влажности, полученных на основе данных дистанционного зондирования земли беспилотным летательным аппаратом DJI Phantom 4 Multispectra

Abstract

Reclamation system is a complex of engineering structures and devices that ensure the creation of the required water, air, thermal and nutrient regimes of soils. The composition of reclamation systems includes underground pipelines, drains, hydraulic structures that may fail and require repair, but it is impossible to detect a problem area without monitoring the area of the system by antediluvian methods or conducting survey work. The purpose of the work: to justify the use of soil moisture maps obtained by the DJI PHANTOM 4 MULTISPECTRA UAV to identify problem areas of the reclamation network or vice versa absence. Aerial photography was carried out in May 2021 on the treated section of the drainage and humidification network of the Yakhrom floodplain of the Moscow region. As a result of the survey, a digital relief model, an operational humidity map based on the calculated NDWI water index were obtained. The flight altitude of the quadcopter was 180 m above the earth’s surface, the pixel size of the image of the earth’s surface to be 7.9 cm. According to the results of aerial photography on the selected site, the absolute marks of the earth’s surface vary from 134.67 to 135.23. On average, the slope of the earth’s surface of the selected site is 0.002 in the direction from northwest to southeast. There are no pronounced microforms of relief moisture in the surface layer of the soil obtained in the field corresponds to the variety of color areas of the NDWI water indices highlighted on the operational humidity map. In the soil conditions of the studied area, the moisture content of the surface soil layer is logarithmic with the normalized difference water index NDWI. The correlation coefficient is 0.9 ± 0.06, which indicates a very high relationship between the studied indicators. Such a map can be used to identify problem areas of the reclamation network.