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News

05 02 2026

Съемка для ландшафтного благоустройства

Съемка Для Ландшафтного Благоустройства

Создание детальной 3D-модели территории, предназначенной для использования в дизайн-проекте развития гостиничного комплекса и прилегающих зон ландшафтного благоустройства

В рамках данного проекта команда Aerostream выполнила комплекс работ по созданию детальной 3D-модели территории, предназначенной для использования в дизайн-проекте развития гостиничного комплекса и прилегающих зон ландшафтного благоустройства.

Основная цель проекта — получить точную и наглядную пространственную модель участка, которая станет основой для архитектурных, ландшафтных и градостроительных решений.

Технология и оборудование

В проекте применялся комплексный подход с использованием как воздушных, так и наземных методов съёмки, что позволило добиться высокой точности и полноты данных.

Используемое оборудование:

DJI Matrice 350 RTK с камерой Zenmuse P1 — для аэрофотосъёмки;
DJI Matrice 4E — для детальной съёмки отдельных зон;
Лазерный сканер CHC RS10 — для мобильного наземного лазерного сканирования.

Такое сочетание технологий позволило зафиксировать как общую структуру территории, так и мелкие элементы, критически важные для дизайн-проектирования.

: DJI Matrice 350RTK

: DJI Matrice 4E и Emlid RS3

: CHC RS10

Полевые работы

Параметры полевого этапа:

Площадь работ — 20 га
Пространственное разрешение – 1 см/пиксель
Количество снимков – 7 900
Продолжительность полевых работ — 2 дня

За счёт грамотного планирования и применения мобильных технологий полевой этап был выполнен в короткие сроки без потери качества данных.

Камеральная обработка данных

После завершения съёмки была выполнена камеральная обработка данных, включающая:

фотограмметрическую обработку аэрофотоснимков;
обработку данных лазерного сканирования;
интеграцию воздушных и наземных данных;
построение детальной 3D-модели территории.

⏱ Срок камеральной обработки — 2 недели.

Итоговые материалы

В результате заказчик получил:

высокодетализированную 3D-модель участка;
точную геометрию рельефа и объектов;
наглядную основу для архитектурных и ландшафтных решений;
возможность использовать модель в дизайн-проекте, презентациях и при согласованиях.

Использование 3D-модели на раннем этапе проектирования позволяет существенно сократить количество правок, повысить качество решений и упростить коммуникацию между архитекторами, дизайнерами и заказчиком.

02 02 2026

Съемка для мелиоративных работ

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Съемка Для Мелиоративных Работ

Получение цифровой модели рельефа и топографического плана местности для определения потенциальных водотоков для мелиоративных работ.

В рамках данного проекта наша команда выполнила комплексную аэрофотосъёмку крупного земельного участка с целью получения цифровой модели рельефа (ЦМР) и топографического плана масштаба 1:500. Полученные материалы использовались для анализа рельефа и определения потенциальных водотоков, необходимых для последующего проектирования мелиоративных мероприятий.

Полевые работы

Аэрофотосъёмка выполнялась с использованием беспилотного летательного аппарата Geoscan 201, оснащённого камерой Sony ILX. Данная конфигурация позволяет получать материалы, подходящие для создания топографических планов крупного масштаба и детальных цифровых моделей рельефа.

Ключевые параметры съёмки:

Площадь работ — 113 км²
Количество вылетов – 7
Пространственное разрешение — 4,5 см/пиксель
Количество снимков – 12 100
Продолжительность полевого этапа (ПВО + АФС) — 4 дня

Несмотря на значительную площадь, съёмка была выполнена в сжатые сроки с соблюдением всех требований к перекрытиям и качеству исходных данных.

Камеральная обработка данных

После завершения полевых работ была выполнена фотограмметрическая обработка материалов аэрофотосъёмки. На этом этапе проводилось:

уравнивание фотоснимков;
построение плотного облака точек;
формирование цифровой модели рельефа;
создание ортофотоплана.

Срок обработки данных АФС — 4 дня.

В результате был получен ортофотоплан с пространственным разрешением 4,5 см/пиксель, обеспечивающий высокую детализацию поверхности и пригодный для инженерных и аналитических задач.

Итоговые материалы

Финальным этапом проекта стало создание топографического плана масштаба 1:500, соответствующего требованиям для инженерных изысканий и проектных работ.

Срок выполнения топографического плана — до 45 дней.

Полученные материалы позволяют:

точно оценивать особенности рельефа;
выявлять понижения и направления стока воды;
использовать данные в дальнейшем проектировании мелиоративных и инженерных решений.

В результате заказчик получил полный комплект актуальных пространственных данных — от исходного ортофотоплана до инженерного топографического плана крупного масштаба. Такой подход позволяет принимать обоснованные проектные решения и существенно снижает риски на следующих этапах работ.

23 02 2023

Mobile LiDAR scanning

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Mobile LiDAR Scanning

Spatial data acquisition for road monitoring and certification, design of traffic management and restoration projects.

1. Mobile LiDAR Scanning

A typical task in the operation of the road network is the development of traffic management projects and the creation of technical passports for motorways. To solve them, it is necessary to collect accurate spatial data. As a rule, the most effective way to obtain such information is aerial photography. However, there is an alternative approach - mobile laser scanning. This method can be used in conjunction with aerial photography, or independently, if aerial photography is not possible.

Mobile laser scanning (MLS) is performed on a vehicle with a laser scanner and satellite geodetic equipment installed. Thus, the resulting cloud of laser reflection points has a precise geographic reference. Examples of MLS and aerial photography results are shown in the illustration below. On the left is a fragment of an orthophotoplan, on the right is the same area in the form of a dense point cloud.

1. Mobile LiDAR Scanning

Let's compare both methods and name their main features.

Aerial surveying

Performance of up to 150 km of road with one UAV per day
Orthomosaic with all road infrastructure elements captured in high-detail (<10 cm per pixel)
Spatial positioning of any object down to 10 cm

Mobile LiDAR scanning

Performance of 100-200 km with one car per day
Dense LiDAR point cloud, covering everything within a 150 m radius from the scanner
Spatial positioning of any object down to 5-7 cm

Among other differences, it is worth noting the following advantages of MLS. There is no need to obtain flight permits. It is possible to do scanning at night. You get accurate elevation of objects and slopes. However, this technology also has some limitations. The width of the capture strip is 80-150 meters and depends on the surrounding terrain. Data processing is more complex and time-consuming than with aerial surveying. As a result, one kilometer of MLS surveying costs approximately twice as much as aerial surveying.

Let's compare both methods and name their main features.

Aerial surveying

Performance of up to 150 km of road with one UAV per day
Orthomosaic with all road infrastructure elements captured in high-detail (<10 cm per pixel)
Spatial positioning of any object down to 10 cm

Mobile LiDAR scanning

Performance of 100-200 km with one car per day
Dense LiDAR point cloud, covering everything within a 150 m radius from the scanner
Spatial positioning of any object down to 5-7 cm

2. Mobile LiDAR Scanning Results

The resulting point cloud allows you to determine:

roadway boundaries
road contours within the berm edges
fills and mounds edges and their heights
junction and side road positions
road sign locations
barrier placement
lighting positions
placement of traffic lights
public transport stops
sidewalks and footpaths
road service facilities
and other elements of the road infrastructure

Accurate maps of roads and surrounding areas can be generated based on mobile LiDAR scanning data.

It is possible to create technical road documentation too:

2. Mobile LiDAR Scanning Results

The resulting point cloud allows you to determine:

roadway boundaries
road contours within the berm edges
fills and mounds edges and their heights
junction and side road positions
road sign locations
barrier placement
lighting positions
placement of traffic lights
public transport stops
sidewalks and footpaths
road service facilities
and other elements of the road infrastructure

Accurate maps of roads and surrounding areas can be generated based on mobile LiDAR scanning data.

It is possible to create technical road documentation too:

27 01 2023

Survey in the mountains

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Survey in the mountains

The survey in a mountainous area with 500 meters of height difference was carried out literally in one day.

Based on the survey results, we created survey grade 3D model of the slope, XYZ point cloud and contour lines with the step of 1 meter.
Check out the result below!

Съемка с беспилотника в зимнее время и отметки высот

27 01 2023

UAV surveying in winter and the elevation points

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UAV surveying in winter

and the elevation points

Why winter surveying is different.

We are often asked about the topographical drone surveys in winter. After all, the main essence of this technology is to obtain the surface model and extract the elevation points remotely. An aircraft or a quadcopter takes photographs of the area while simultaneously recording the geodetic coordinates of the image centers. After that, photogrammetric data processing is performed and an orthomosaic of the surveyed area is produced along with the DEM. The orthomosaic is used to draw a topographic plan, and the height map (DEM) is used to obtain elevation points. Since all data is based on the images, all derivative materials will only have the information that was captured on the images. Thus, two questions are always asked regarding the winter time: how do snow cover and forest affect the final materials?

When it comes to snow, the answer is clear - photogrammetric software builds the surface of the snow, meaning that we can only obtain elevation data from the snow's surface. If the distribution of snow is relatively uniform, we can simply subtract the thickness of the snow cover. However, when it comes to trees, the question is more complex and is related to the algorithms of the photogrammetric software. If you fly not too close to the ground, the program may not "see" small elements, such as branches, tree trunks, and wires, when constructing the digital elevation model. In fact, if a deciduous forest is photographed without leaves in winter, we will only get marks of snow cover on the site instead of trees.

Survey example, described by a survey engineer

The aerial surveying performed with a Phantom 4 Pro PPK drone from https://uav-design.com/ru/

Photogrammetric processing performed using the Agisoft Metashape software.

The site was a snow-covered field with longitudinal and transverse ditches, partially overgrown with willow 2 to 7 meters high. Compared to classical geodetic survey, when topographical survey of a site is carried out by a surveyor, unmanned aerial technologies provide better accuracy for this type of terrain. Why?

Firstly. The accuracy of the terrain is generally higher, since the flight materials allow the automatic reconstruction of a 3D model from a dense point cloud (ranging from 100 thousand to tens of millions of points, depending on processing requirements). On this particular site, the thickness of the snow cover was uniform. It was measured at several control points, and did not exceed the average statistical error of classical surveying. Also, with classical geodesy, the surveyor will take measurements at points with the density of 10-20 meters, or only measure the key points of the relief. Thus, the resulting surface model will be much less detailed, compared to the aerial survey outcome.

Here is an example of an orthomosaic and a DEM of the site:

Secondly. The contours of the boundaries of ditches, cliffs, slopes and other key elements of the relief, visible on a detailed surface, allow one to determine the “fracture line” more accurately and draw it on the topographic plan. In field conditions, the surveyor does not always see a clear boundary of the "relief fracture".

Thirdly. The Agisoft Metashape omits the trees and bushes from the terrain reconstruction, when processing the materials of a winter survey with low forest density (overgrown ditches in this example). In other words, it does not see these elements when creating a height map.

The elevation points obtained using Metashape are almost identical to the control with field measurements in areas of tree vegetation.

ЛЭП, отметки изоляторов и провис проводов. Проверка точности.

27 01 2023

Power lines, insulator marks and wire slack. Checking the accuracy.

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Power line monitoring

Insulator heights and wire slack. Checking the accuracy.

1. Power line inspection with drones

The survey and inspection of power lines with unmanned aerial vehicles have become quite widespread. Survey data are used for cadastre, engineering and surveying. Quite often the question arises: is it possible to obtain elevation marks of power lines, sags, wire dimensions and other metric characteristics using a UAV? And with what precision?

The main sensor of the UAV is a camera. The 3D image is built from overlapping photographs and information about the exact centers of photography. But as always, there are nuances. After processing a set of images of power transmission lines in photogrammetric software, you will not see supports and wires in 3D. The most that you can get is a dense cloud. Unfortunately, only a few of the many supports will be reconstructed properly. See example below:

Power lines are too thin to be reconstructed in 3D by photogrammetric software. The algorithm simply can't detect the long "thread" several pixels wide. In this case, computer vision comes to the rescue and there are multiple technologies for automated wire detection. Despite not having a large team of programmers, we have developed a technology for accurately detecting and reconstructing the position of power lines using standard tools. This allows us to obtain cable and ground height in any location with high precision, and to tackle related tasks such as determining wire dimensions, sag, turning angles etc.

2. Control measurement of wire heights

In order to check the accuracy of the wire height detection we surveyed a small section of a power line. First, we set up ground control points and obtained their coordinates using the EFT M3 GNSS in RTK mode. Using the AR600E high-voltage cable height meter, we measured the height of the bottom wire at each control point.

This way we collected the control wire measurements using the instrumental method. Next, we conducted aerial survey of the site and determined the height of the wire above the control point using the photogrammetric method. Last step was to compare the instrumental measurements with the aerial survey based data. The aerial survey was performed with a Phantom 4 Pro v2 PPK survey grade quadcopter from uav-design.com

3. Data processing and accuracy assessment

Coordinates of image centers were processed in Magnet Tools software. Photogrammetric processing was carried out in Metashape. Images were captured from 100 meters altitude in two passes. Survey technology with a geodetic drone from uav-design allows to consistently obtain high accuracy results. For our flight, we got average camera alignment error within 2 cm. The smaller the error in the relative position of the cameras, the more accurate the wire position will be determined:

The root mean square error at ground control points was also several centimeters:

Using our own technology, the power line heights were determined at the control point locations. A total of 5 measurements were taken with the photogrammetric method at different sections of the wire.

The final table below shows the difference in the height of the wires measured by the instrumental and photogrammetric method. The maximum deviation was 12 cm, the average deviation was 6 cm.

Conclusion: Photogrammetric survey of power transmission lines from drones using the technology developed by Aerostream allows calculating wire marks with an accuracy of about 5-12 cm, compared to instrumental survey.