Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume

Akgül, Mustafa; Yurtseven, Hüseyin; Gülci, Sercan; Akay, Abdullah E.

doi:10.1007/s13369-017-2811-9

Cited by 34 publications

(18 citation statements)

References 31 publications

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“…First, the highlight (HL) pixels were removed, and image-based modeling was used to make digital surface models (DSMs) and orthomosaic images. A kriging method was used to make digital elevation models (DEMs) of the field surface in many studies [ 28 , 29 , 37 , 38 ], especially for a non-linear interpolation with a limited control points [ 39 ]. The pixels of the region of interest were selected on the four corners of each paddy to generate a paddy DEM, and a plant height model (PHM) was established to calculate PH by deducting the DEM results from the DSM results.…”

Section: Experiments and Analysis Methodsmentioning

confidence: 99%

Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management

Yang

Tseng

et al. 2020

Sensors

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Rice is one of the three major crops in the world and is the major crop in Asia. Climate change and water resource shortages may result in decreases in rice yields and possible food shortage crises. In this study, water-saving farming management was tested, and IOT field water level monitoring was used to regulate water inflow automatically. Plant height (PH) is an important phenotype to be used to determine difference in rice growth periods and yields using water-saving irrigation. An unmanned aerial vehicle (UAV) with an RGB camera captured sequential images of rice fields to estimate rice PH compared with PH measured on site for estimating rice growth stages. The test results, with two crop harvests in 2019, revealed that with adequate image calibration, the correlation coefficient between UAV-PH and field-PH was higher than 0.98, indicating that UAV images can accurately determine rice PH in the field and rice growth phase. The study demonstrated that water-saving farming is effective, decreasing water usage for the first and second crops of 2019 by 53.5% and 21.7%, respectively, without influencing the growth period and final yield. Coupled with an automated irrigation system, rice farming can be adaptive to water shortage situations.

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Section: Experiments and Analysis Methodsmentioning

confidence: 99%

Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management

Yang

Tseng

et al. 2020

Sensors

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“…Finally, the volume comparison was made by both mentioned methods, and the results showed that, volume acquired by photogrammetric technique agreed with the volume got by classical method by 99.33%. (Akgul et al, 2017), conducted a research on the assessment of DEMs derived from both UAV and GNSS for earthwork volume. (Trimble UX5) drone was used in the process of study area mapping with 80% longitudinal and traversal coverage at flying height 200 m. All image data were processed by means of Agisoft Photoscan Professional software in order to produce point cloud and orthomosaic data.…”

Section: Related Workmentioning

confidence: 99%

“…In recent years, UAVs have also been used for volume calculation for different purposes such as excavation and filling of mines, huge construction sites, the places where coal dumped and recycling area. In addition, activities of road construction are treated as one of the most economic operations, since the cost of earthwork has commonly the major portion among these activities (Akgul, Yurtseven, Gulci, & Akay, 2017). Undoubtedly, it is also possible to calculate volumes by using conventional geodetic methods including Theodolite, total station and GPS, but by taking the time saving, accessibility and cost efficiency into account, UAV is considered the ideal solution (Ulvi̇, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Over recent years, many investigations have been done to evaluate the quality of products generated from data collected by drones. For instance, (Ulvi̇, 2018), analyzed the utility of unmanned aerial vehicle in volume calculation, while (Akgul et al, 2017) conducted a research on the assessment of DEMs derived from both UAV and Global Navigation Satellite System (GNSS) for earthwork computations. Furthermore, (Tucci, Gebbia, Conti, Fiorini, & Lubello, 2019) used UAV system for monitoring and computing stockpile volumes of bulk materials etc., therefore the accuracy of DEM is an important subject to be studied in volume calculation.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Uav-based Dem for Volume Calculation

IDREES

HEETO

2020

juod

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In the latest decades, Unmanned Aerial Vehicles (UAVs) have witnessed rapid growth and it plays a vital role in different fields of engineering and architecture. This technique can also be applied in land surveying as a device in order to measure the 3D ground coordinates and Earth work. The main aim of this paper is to evaluate the accuracy of volume that obtained by using Digital Elevation Model (DEM) derived from UAVs images. In this research, three different flights were performed with DJI phantom 4 pro (25m, 50m, and 100m) with 80% forward and side overlaps at Duhok Dam. Several Ground control points (GCPs) were installed and evenly distributed throughout the study area and their coordinates were determined using GPS-RTK technique for geo-referencing. The data images captured with UAV were processed using Agisoft photoscan Professional software. GPS survey was carried out using Leica viva GS10 base, and GS15 rover for the same place. The volumes acquired by the UAV images including all three flight heights were compared to the volume obtained with GPS survey techniques which considered as a base for comparison. The results showed that the volume calculated with UAV images encountered to the base were compatible with each other with (99. 86%,99. 76% and 99. 74%) for altitudes (25,50, and 100) respectively.

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“…On the other hand, highresolution DEMs can be used for both accurate volume estimations and efficient use of time. By using modern UAV technology and GIS techniques, DEM data can be produced exclusively for any study area designated for forest road construction (Akgül et al, 2018, Gülci et al, 2017. The most important advantage of DEM data provided by UAV is that high-resolution data can be easily produced at conveniently short time.…”

Section: Capabilities Of Using Uavs In Forest Road Construction Activmentioning

confidence: 99%

Capabilities of using UAVs in Forest Road Construction Activities

Buğday

2018

European Journal of Forest Engineering

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The forests in Turkey is classified and managed according to their functions within the framework of Ecosystem Based MultiPurpose Planning policy. It is very important to ensure that planning activities are handled appropriately in order to carry out forestry activities which are labor intensive, difficult and dangerous. Forest roads have served as the main infrastructure facility for forestry activities in accordance with multiple purposes. In order to increase efficiency within the concept of precision forestry and to transfer the plans to the application more clearly, it is essential to use technology and technological machinery. In this context, this study aimed to reveal the capabilities of using Unmanned Aerial Vehicles (UAVs) and Geographical Information Systems (GIS) tools in planning the forest road construction. For this purpose, cut and fill volume of a 300 m long sample road was computed by using USGS based Digital Elevation Model (DEM) with 1 m x 1 m resolution and UAV based DEM with 0.05 m x 0.05 m resolution which were generated prior to road construction and after the road construction, respectively. The results indicated that the cut volume and fill volume were 81804.4 m 3 and 74.2 m 3 , respectively. It was found that the use of UAV will be quite advantageous in terms of capturing high quality and high-resolution data for planning the forest road construction and evaluating alternative routes.

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Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume

Cited by 34 publications

References 31 publications

Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management

Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management

Evaluation of Uav-based Dem for Volume Calculation

Capabilities of using UAVs in Forest Road Construction Activities

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