High-Resolution LiDAR Digital Elevation Model Referenced Landslide Slide Observation with Differential Interferometric Radar, GNSS, and Underground Measurements

The area of Taiwan is 70% hillsides. In addition, the topography fluctuates wildly, and it is active in earthquakes and young orogenic movements. Landslides are a widespread disaster in Taiwan. However, landslides are not a disaster until someone enters the mountain area for development. Therefore, landslide displacement monitoring is the primary task of this study. Potential landslide areas with mostly slate geological conditions were selected as candidate sites in this study. The slate bedding in this area is approximately 30 to 75 degrees toward the southeast, which means that creep may occur due to gravity deformation caused by high-angle rock formation strikes. In addition, because the research site is located in a densely vegetated area, the data noise is very high, and it is not easy to obtain good results. This study chose ESA Sentinel-1 data for analysis and 1-m LiDAR DEM as reference elevation. The 1-m LiDAR DEM with high accuracy can help to detect more complex deformation from DInSAR. The Sentinel-1 series of satellites have a regular revisit period. In addition, the farm areas of roads, bridges, and buildings in the study area provided enough reflections to produce good coherence. Sentinel-1 images from March 2017 to June 2021 were analyzed, obtaining slope deformation and converting it to the vertical direction. Deformation derived from SAR is compared with other measurements, including GNSS and underground slope inclinometer. The SBAS solution process provides more DInSAR pairs to overcome the problem of tremendous noise and has increased accuracy. Moreover, the SBAS method’s parameter modification derives more candidate points in the vegetated area. The vertical deformation comparison between the GNSS installation location and the ascending SBAS solution’s vertical deformation is consistent. Moreover, the reliable facing of the slope toward the SAR satellite is discussed. Due to the limitations of the GNSS stations, this study proposes a method to convert the observed deformation from the slope inclinometer and convert it to vertical deformation. The displacement of the slope indicator is originally a horizontal displacement. It is assumed that it is fixed at the farthest underground, and the bottom-to-top movement is integrated with depth. The results show that the proposed equation to convert horizontal to vertical displacement fits well in this condition. The activity of landslides within the LiDAR digital elevation model identified as scars is also mapped.

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Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions

10.21203/rs.3.rs-311838/v1 ◽

2021 ◽

Author(s):

Shizhou Ma ◽

Karen Beazley ◽

Patrick Nussey ◽

Chris Greene

Keyword(s):

High Resolution ◽

Digital Elevation Model ◽

Smoothing Algorithm ◽

Processing Efficiency ◽

Spatial Approach ◽

Digital Elevation ◽

Elevation Data ◽

Computer Based ◽

Lidar Dem ◽

Elevation Model

Abstract The Active River Area (ARA) is a spatial approach for identifying the extent of functional riparian area. Given known limitations in terms of input elevation data quality and methodology, ARA studies to date have not achieved effective computer-based ARA-component delineation, limiting the efficacy of the ARA framework in terms of informing riparian conservation and management. To achieve framework refinement and determine the optimal input elevation data for future ARA studies, this study tested a novel Digital Elevation Model (DEM) smoothing algorithm and assessed ARA outputs derived from a range of DEMs for accuracy and efficiency. It was found that the tested DEM smoothing algorithm allows the ARA framework to take advantage of high-resolution LiDAR DEM and considerably improves the accuracy of high-resolution LiDAR DEM derived ARA results; smoothed LiDAR DEM in 5-meter spatial resolution best balanced ARA accuracy and data processing efficiency and is ultimately recommended for future ARA delineations across large regions.

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EVALUATION DIGITAL ELEVATION MODEL GENERATED BY SYNTHETIC APERTURE RADAR DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b1-57-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 57-62

Author(s):

H. B. Makineci ◽

H. Karabörk

Keyword(s):

Remote Sensing ◽

Digital Elevation Model ◽

Interpolation Method ◽

Digital Elevation Models ◽

European Space Agency ◽

Mountain Area ◽

Synthetic Aperture Radar Data ◽

Radar Images ◽

Digital Elevation ◽

Elevation Model

Digital elevation model, showing the physical and topographical situation of the earth, is defined a tree-dimensional digital model obtained from the elevation of the surface by using of selected an appropriate interpolation method. DEMs are used in many areas such as management of natural resources, engineering and infrastructure projects, disaster and risk analysis, archaeology, security, aviation, forestry, energy, topographic mapping, landslide and flood analysis, Geographic Information Systems (GIS). Digital elevation models, which are the fundamental components of cartography, is calculated by many methods. Digital elevation models can be obtained terrestrial methods or data obtained by digitization of maps by processing the digital platform in general. Today, Digital elevation model data is generated by the processing of stereo optical satellite images, radar images (radargrammetry, interferometry) and lidar data using remote sensing and photogrammetric techniques with the help of improving technology. <br><br> One of the fundamental components of remote sensing radar technology is very advanced nowadays. In response to this progress it began to be used more frequently in various fields. Determining the shape of topography and creating digital elevation model comes the beginning topics of these areas. <br><br> It is aimed in this work , the differences of evaluation of quality between Sentinel-1A SAR image ,which is sent by European Space Agency ESA and Interferometry Wide Swath imaging mode and C band type , and DTED-2 (Digital Terrain Elevation Data) and application between them. The application includes RMS static method for detecting precision of data. Results show us to variance of points make a high decrease from mountain area to plane area.

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EVALUATION DIGITAL ELEVATION MODEL GENERATED BY SYNTHETIC APERTURE RADAR DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b1-57-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 57-62

Author(s):

H. B. Makineci ◽

H. Karabörk

Keyword(s):

Remote Sensing ◽

Digital Elevation Model ◽

Interpolation Method ◽

Digital Elevation Models ◽

European Space Agency ◽

Mountain Area ◽

Synthetic Aperture Radar Data ◽

Radar Images ◽

Digital Elevation ◽

Elevation Model

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VERTICAL ACCURACY COMPARISON OF DIGITAL ELEVATION MODEL FROM LIDAR AND MULTITEMPORAL SATELLITE IMAGERY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-1-w1-419-2017 ◽

2017 ◽

Vol XLII-1/W1 ◽

pp. 419-423

Author(s):

J. Octariady ◽

A. Hikmat ◽

E. Widyaningrum ◽

R. Mayasari ◽

M. K. Fajari

Keyword(s):

Digital Elevation Model ◽

Satellite Imagery ◽

Radar Data ◽

Lidar Data ◽

Cloud Data ◽

Value Differences ◽

Accuracy Comparison ◽

Digital Elevation ◽

Lidar Dem ◽

Elevation Model

Digital elevation model serves to illustrate the appearance of the earth's surface. DEM can be produced from a wide variety of data sources including from radar data, LiDAR data, and stereo satellite imagery. Making the LiDAR DEM conducted using point cloud data from LiDAR sensor. Making a DEM from stereo satellite imagery can be done using same temporal or multitemporal stereo satellite imagery. How much the accuracy of DEM generated from multitemporal stereo stellite imagery and LiDAR data is not known with certainty. The study was conducted using LiDAR DEM data and multitemporal stereo satellite imagery DEM. Multitemporal stereo satellite imagery generated semi-automatically by using 3 scene stereo satellite imagery with acquisition 2013&ndash;2014. The high value given each of DEM serve as the basis for calculating high accuracy DEM respectively. The results showed the high value differences in the fraction of the meter between LiDAR DEM and multitemporal stereo satellite imagery DEM.

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Stream Network Modeling Using Remote Sensing Data in an Alpine Cold Catchment

Water ◽

10.3390/w13111585 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1585

Author(s):

Hong Cao ◽

Zhao Pan ◽

Qixin Chang ◽

Aiguo Zhou ◽

Xu Wang ◽

...

Keyword(s):

Remote Sensing ◽

Digital Elevation Model ◽

Network Modeling ◽

Remote Sensing Data ◽

Srtm Dem ◽

Stream Network ◽

Sensing Data ◽

Digital Elevation ◽

Lidar Dem ◽

Elevation Model

The hydrological information derived from a digital elevation model is very important in distributed hydrological modeling. As part of alpine hydrological research on stream network modeling using remote sensing data in the northeast of the Tibetan Plateau, three digital elevation model (DEM) datasets were obtained for the purpose of hydrological features, mainly including channel network, watershed extent and terrain character. The data sources include the airborne light detection and ranging (LiDAR) with point spacing of 1 m, the High Mountain Asia (HMA) DEM and the Shuttle Radar Topography Mission (SRTM) DEM. Mapping of the watershed and stream network was conducted using each of the three DEM datasets. The modeled stream networks using the different DEMs were verified against the actual network mapped in the field. The results show that the stream network derived from the LiDAR DEM was the most accurate representation of the network mapped in the field. The SRTM DEM overestimated the basin hypsometry relative to the LiDAR watershed at the lowest elevation, while the HMA DEM underestimated the basin hypsometry relative to the LiDAR watershed at the highest elevation. This may be because, compared with the SRTM DEM and the HMA DEM, the LiDAR DEM has higher initial point density, accuracy and resolution. It can be seen that the LiDAR data have great potential for the application in hydrologic modeling and water resource management in small alpine catchments.

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Estimation of the topographic correction accuracy for satellite data on mountain regions in relation to the digital elevation model accuracy

Kosmìčna nauka ì tehnologìâ ◽

10.15407/knit2005.03.070 ◽

2005 ◽

Vol 11 (3-4) ◽

pp. 70-74

Author(s):

V.I. Lyalko ◽

◽

O.I. Sakhatsky ◽

Z.M. Shportjuk ◽

O.N. Sibirtseva ◽

...

Keyword(s):

Digital Elevation Model ◽

Satellite Data ◽

Mountain Regions ◽

Model Accuracy ◽

Topographic Correction ◽

Digital Elevation ◽

Elevation Model

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STUDY OF THE LANDSLIDE MORPHOLOGY BASED ON GNSS DATA AND AIRBORNE SOUNDING (ON THE EXAMPLE OF A SECTION OF THE PROTVA RIVER VALLEY)

Engineering survey ◽

10.25296/1997-8650-2018-12-5-6-50-57 ◽

2018 ◽

Vol 12 (5-6) ◽

pp. 50-57 ◽

Cited By ~ 1

Author(s):

I. S. Voskresensky ◽

A. A. Suchilin ◽

L. A. Ushakova ◽

V. M. Shaforostov ◽

A. L. Entin ◽

...

Keyword(s):

Digital Elevation Model ◽

Geodetic Network ◽

Aerial Survey ◽

River Valley ◽

Ease Of Use ◽

Digital Elevation ◽

Loose Deposits ◽

Positioning Method ◽

Landslide Body ◽

Elevation Model

To use unmanned aerial vehicles (UAVs) for obtaining digital elevation models (DEM) and digital terrain models (DTM) is currently actively practiced in scientific and practical purposes. This technology has many advantages: efficiency, ease of use, and the possibility of application on relatively small area. This allows us to perform qualitative and quantitative studies of the progress of dangerous relief-forming processes and to assess their consequences quickly. In this paper, we describe the process of obtaining a digital elevation model (DEM) of the relief of the slope located on the bank of the Protva River (Satino training site of the Faculty of Geography, Lomonosov Moscow State University). To obtain the digital elevation model, we created a temporary geodetic network. The coordinates of the points were measured by the satellite positioning method using a highprecision mobile complex. The aerial survey was carried out using an unmanned aerial vehicle from a low altitude (about 40–45 m). The processing of survey materials was performed via automatic photogrammetry (Structure-from-Motion method), and the digital elevation model of the landslide surface on the Protva River valley section was created. Remote sensing was supplemented by studying archival materials of aerial photography, as well as field survey conducted immediately after the landslide. The total amount of research results made it possible to establish the causes and character of the landslide process on the study site. According to the geomorphological conditions of formation, the landslide refers to a variety of landslideslides, which are formed when water is saturated with loose deposits. The landslide body was formed with the "collapse" of the blocks of turf and deluvial loams and their "destruction" as they shifted and accumulated at the foot of the slope.

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