High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry

Lamsters, Kristaps; Karušs, Jānis; Krievāns, Māris; Ješkins, Jurijs

doi:10.1080/17445647.2020.1748130

Cited by 30 publications

(16 citation statements)

References 51 publications

(69 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Snow-covered surfaces usually correspond to this. Lamsters et al [56] also confirm this approach in a study from West Antarctica. Outputs of this study were, among other things, the first high-resolution orthophoto maps and digital surface models of the largest Argentine Islands on the basis of UAV photogrammetry.…”

Section: Snow Depth Modelsmentioning

confidence: 65%

“…In the winter season, the majority of the study area was covered by a relatively homogeneous snow cover (Figure 6a) or a snow cover with disperse trees and mugo pine patches above the snow surface (Figure 6b). It is known that the photogrammetry process can yield different errors in DSM [49], and it can be assumed that light and a mainly homogenous surface, especially when it is covered by fresh snow, increases these errors [56]. However, the data on resolution and point density of DSMs from the winter flight mission gave a presumption of relatively high precision.…”

Section: Dsms From the Winter Flight Missionmentioning

confidence: 99%

See 1 more Smart Citation

Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions

Masný

Biskupič²

2021

Drones

View full text Add to dashboard Cite

UAV-based photogrammetry has many applications today. Measuring of snow depth using Structure-from-Motion (SfM) techniques is one of them. Determining the depth of snow is very important for a wide range of scientific research activities. In the alpine environment, this information is crucial, especially in the sphere of risk management (snow avalanches). The main aim of this study is to test the applicability of fixed-wing UAV with RTK technology in real alpine conditions to determine snow depth. The territory in West Tatras as a part of Tatra Mountains (Western Carpathians) in the northern part of Slovakia was analyzed. The study area covers more than 1.2 km2 with an elevation of almost 900 m and it is characterized by frequent occurrence of snow avalanches. It was found that the use of different filtering modes (at the level point cloud generation) had no distinct (statistically significant) effect on the result. On the other hand, the significant influence of vegetation characteristics was confirmed. Determination of snow depth based on seasonal digital surface model subtraction can be affected by the process of vegetation compression. The results also point on the importance of RTK methods when mapping areas where it is not possible to place ground control points.

show abstract

Section: Snow Depth Modelsmentioning

confidence: 65%

Section: Dsms From the Winter Flight Missionmentioning

confidence: 99%

Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions

Masný

Biskupič²

2021

Drones

View full text Add to dashboard Cite

show abstract

“…An orthomosaic is a combined image created by the seamless or near seamless merging of the original images projected onto the plane (or DEM/mesh model) and then transformed to the required projection. During this process the images are ortho-rectified (geometrically corrected) such that the scale is uniform and so that a photo or image adheres to a given map projection (Lamsters et al, 2020;Agisoft Metashape, 2020). In the work reported here, we created orthophotomaps based on the images described in Section 2.1.…”

Section: Structure-from-motion Based Orthomosaicsmentioning

confidence: 99%

Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography

Cooper

Lewińska

Smith

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. We present an approach for extracting quantifiable information from archival aerial photographs to extend the temporal record of change over a region of the central eastern Greenland Ice Sheet. The photographs we use were gathered in the 1930s as part of a surveying expedition, and so they were not acquired with photogrametric analysis in mind. Nevertheless, we are able to make opportunistic use of this imagery, as well as additional, novel data-sets, to explore changes at ice margins well before the advent of conventional satellite technology. The insights that a longer record of ice margin change bring is crucial for improving our understanding of how glaciers are responding to the changing climate. In addition, our work focuses on a series of relatively small and little studied outlet glaciers from the eastern margin of the Ice Sheet. We show that whilst air and sea surface temperatures are important controls on the rates at which these ice masses change, there is also significant heterogeneity in their responses, with non-climatic controls (such as the role of bathymetry in front of calving margins) being extremely important. In general, there is often a tendency to focus either on changes of the Greenland Ice Sheet as a whole, or to focus on regional variations. Here, we suggest that even this approach masks important variability, and full understanding of the behaviour and response of the Ice Sheet requires us to consider changes that are taking place at the scale of individual outlet glaciers.

show abstract

“…Therefore, collecting multi-epoch imageries using conventional techniques does not seem convenient at plot scale (Laporte-Fauret et al, 2019;Carrera-Hernández et al, 2020). This has encouraged the spread of alternative methodology, like Remotely Piloted Aircraft Systems (RPAS), appearing as high-performance devices in the acquisition of huge datasets in a short time and at low cost (Capolupo et al, 2018b;Lamsters et al, 2020). These small and smart aircrafts can be used to acquire imagery featured by Ground Sampling Distance (GSD) of centimeter-order and an unrestricted frequency of revisiting, except for any weather or regulatory limits (Ewertowski et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Influence of Co-Alignment Procedures on the Co-Registration Accuracy of Multi-Epoch SFM Points Clouds

Saponaro

Capolupo

Caporusso

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. The well-established spread of Remotely Piloted Aircraft Systems (RPAS) as high-performance devices in the acquisition of huge datasets has found a fertile field in the geomorphological change detection in coastal areas. The ability to retrieve image datasets with multi-epoch frequency makes them effectively incisive for planning ongoing monitoring. Considering the wide accessibility to multiple Structure-from-Motion (SfM)-3D point clouds, it follows the need for their proper management to identify a profitable co-registration approach valid for a proper comparison among them. In most cases the co-registration is inherited from the same georeferencing; in other cases, it can be done manually. Unfortunately, these methodologies are time consuming and often do not properly consider geometric errors on the models. The purpose of this research work was therefore to analyse an alternative method such as the co-alignment of sparse point clouds. Given the independently or co-aligned processed multi-epoch datasets, mean errors (ME) and root-mean-square error (RMSE) on Check Points (CPs) were evaluated by adopting different georeferencing strategies. Lastly, by first generating dense point clouds and from these the Digital Elevation Models (DEMs), scalar fields regarding DEM of Differences (DoD) were computed and allowed to localize any uncertainties δz among the estimated elevations. A cloud-to-cloud comparison was obtained using the M3C2 algorithm to extrapolate systematic georeferencing errors and the local deviation between models, an evidence of how the method can affect the detectable changes. The co-alignment methodology showed encouraging results proving to be a valid alternative to more traditional approaches.

show abstract

High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry

Cited by 30 publications

References 51 publications

Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions

Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions

Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography

Influence of Co-Alignment Procedures on the Co-Registration Accuracy of Multi-Epoch SFM Points Clouds

Contact Info

Product

Resources

About