On the vertical accuracy of the ALOS world 3D-30m digital elevation model

Bayık, Çağlar; Bęcek, Kazimierz; Mekik, Çetin; Özendi, Mustafa

doi:10.1080/2150704x.2018.1453174

Cited by 58 publications

(35 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, Takaku et al [61] found slope-dependent errors, with errors greater than 5 m occurring for slope angles larger than 30 degrees. Using longitudinal profiles of airport runways, Caglar et al [62] found that AW3D30 has an RMSE of 1.78 m and contains an elevation anomaly due to sensor noise and the processing algorithm. Takaku et al [61] found a mostly positive bias, while Caglar et al [62] identified a negative bias in elevation estimation.…”

Section: Data Usedmentioning

confidence: 99%

“…Using longitudinal profiles of airport runways, Caglar et al [62] found that AW3D30 has an RMSE of 1.78 m and contains an elevation anomaly due to sensor noise and the processing algorithm. Takaku et al [61] found a mostly positive bias, while Caglar et al [62] identified a negative bias in elevation estimation. In the Philippines, AW3D30's RMSE varies from 4.3 m in urban areas to 6.8 m in areas with dense vegetation [32].…”

Section: Data Usedmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

2018

View full text Add to dashboard Cite

Vertical urban growth in the form of urban volume or building height is increasingly being seen as a significant indicator and constituent of the urban environment. Although high-resolution digital surface models can provide valuable information, various places lack access to such resources. The objective of this study is to explore the feasibility of using open digital surface models (DSMs), such as the AW3D30, ASTER, and SRTM datasets, for extracting digital building height models (DBHs) and comparing their accuracy. A multidirectional processing and slope-dependent filtering approach for DBH extraction was used. Yangon was chosen as the study location since it represents a rapidly developing Asian city where urban changes can be observed during the acquisition period of the aforementioned open DSM datasets (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011). The effect of resolution degradation on the accuracy of the coarse AW3D30 DBH with respect to the high-resolution AW3D5 DBH was also examined. It is concluded that AW3D30 is the most suitable open DSM for DBH generation and for observing buildings taller than 9 m. Furthermore, the AW3D30 DBH, ASTER DBH, and SRTM DBH are suitable for observing vertical changes in urban structures.2 of 25 SAR (synthetic aperture radar) pairs [16]. Of these technologies, airborne laser scanning (ALS) has the highest accuracy in parameterizing building morphology, ranging from simple footprint identification [17] to complicated 3D structure and roof plane modeling [14,18]. State-of-the-art ALS approaches have also achieved very high accuracy in complex urban environments by integrating aerial imagery [19], city administrative data [20], architectural knowledge [21], and the Big Data approach [22].Despite these promising results, there have been relatively few published studies on such methods being applied to large areas [23]. Furthermore, ALS data sources and aerial images are often under the control of government ministries, and, due to high operational costs, they are not available in many parts of the world [24]. Since several such regions are also undergoing rapid urban growth and will potentially face the associated adverse environmental impacts and safety concerns, it is necessary to monitor their urban volumes or building heights. At the same time, the quality and quantity of satellite images as well as the capabilities of sophisticated algorithms for DSM and DBH computations have increased dramatically in recent years [25]. Although such high-resolution satellite datasets are available for a fraction of the cost compared with ALS data, they are prohibitively expensive to obtain at the global scale. Despite various applications for building height data, there is still no such global dataset available that is comparable to the 'Global Rural-Urban Mapping Project (GRUMP) Urban Extents Grid, v1' [26,27] or the 'Global Urban Heat Island (UHI)' dataset [28]. Being able to derive building heights at a global scale is crucial not only for places that lack acce...

show abstract

Section: Data Usedmentioning

confidence: 99%

Section: Data Usedmentioning

confidence: 99%

Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

2018

View full text Add to dashboard Cite

show abstract

“…Analyzing Table 3, one may conclude the following: (1) The bias in the case of photogrammetryderived models (ASTER and AW3D30) is positive and reaches approximately 2 m. The bias for the X-Band InSAR-derived DEMs (SRTM-X, TanDEM, and WorldDEM TM ) is negative of the order of -1 m. Simultaneously, the elevation bias of the C-Band InSAR-derived DEM (SRTM-1"/3") is the lowest and of the order of 0.6 m. The global DEMs' bias issue was noted in the previous literature [2,19] and is believed to be due to the calibration of the SAR data (performed over the ocean), the accuracy of the ground control points (GCPs), and/or the accuracy of the geoid. This bias could be locally eliminated by estimating it using a few checkpoints with known elevations from an independent survey.…”

Section: Discussionmentioning

confidence: 73%

“…The testbed used in this study was a runway (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36) at Zonguldak Airport, located 8 km to the north of Çaycuma, Turkey (Lat = 41 Some of the runway's relevant physical parameters are listed in Table 1. The runway was constructed in the 1960s.…”

Section: Area Of Interestmentioning

confidence: 99%

How Well can Spaceborne Digital Elevation Models Represent a Man-Made Structure: A Runway Case Study

et al. 2019

Self Cite

View full text Add to dashboard Cite

In this case study, an active runway of a civilian airport in Zonguldak, Turkey was used to assess the suitability of spaceborne digital elevation models (DEMs) to model an anthropogenic structure. The tested DEMs include the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), the Advanced Land Observing Satellite (ALOS) World 3D 30 m (AW3D30), the Shuttle Radar Topography Mission (SRTM)-1”, the SRTM-3”, the SRTM-X, the TanDEM-3”, and the WorldDEMTM. A photogrammetric high accuracy DEM was also available for the tests. As a reference dataset, a line-leveling survey of the runway using a Leica Sprinter 150/150M instrument was performed. The selection of a runway as a testbed for this type of investigation is justified by its unique characteristics, including its flat surface, homogenous surface material, and availability for a ground survey. These characteristics are significant because DEMs over similar structures are free from environment- and target-induced error sources. For our test area, the most accurate DEM was the WorldDEMTM followed by the SRTM-3” and TanDEM-3”, with vertical errors (LE90) equal to 1.291 m, 1.542 m, and 1.56 m, respectively. This investigation uses a method, known as the runway method, for identifying the vertical errors in DEMs.

show abstract

“…In the study area, we have two freely available DEMs, the Shuttle Radar Topography Mission DEM (SRTM) of 30 meters resolution and the ALOS-PALSAR DEM of 12.5 meters resolution per pixel. Alganci et al (2018) and 275 Caglar et al, (2018) compare these two DEM and others global procucts concluding that ALOS-PALSAR has lower errors. Therefore, we used it for numerical simulation.…”

Section: Tographymentioning

confidence: 96%

Hidden Hazards: the conditions that potentially enabled the mudflow disaster at Villa Santa Lucía in Chilean Patagonia

Somos‐Valenzuela

Oyarzún-Ulloa

Fustos-Toribio

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. The evaluation of potential mass wasting in mountain areas is a very complex process because there is not enough information to quantify the probability and magnitude of these events. Identifying the whole chain of events is not a straightforward task, and the impacts of mass wasting processes depend on the conditions downstream of the origin. Additionally, climate change is playing an essential role in the occurrence and distribution. Mean temperatures are continuously rising to produce long term instabilities, particularly on steep slopes. Extreme precipitations events are more recurrent as well as heat waves that can melt snow and glaciers, increasing the water available to unstabilized slopes. In this paper, we present an example that portraits the complexities in the evaluation of the chain of events. On the 16 of December of 2017, a rockslide occurred in the Yelcho mountain range. In that event, 7 million m3 of rocks and soil fell on the Yelcho glacier depositing 2 million m3 on the glacier terminal, and the rest continued downstream, triggering a mudflow that hit Villa Santa Lucia in the Chilean Patagonia, killing 22 people. The rockslide event or similar was anticipated in the region by the National Geological and Mining Survey (Sernageomin in Spanish). However, the effects of the terrain characteristics along the runout area were more significant than what was anticipated. In this work, we evaluate the conditions that enable the mudflow that hits Villa Santa Lucia. We used the information generated by Sernageomin's professional after the mudflow. We carried out geotechnical tests to characterize the soil. We simulated the mudflow using two hydrodynamics software (r-avaflow and Flo-2D) that can handle the rheology of the water–soil mixture. Our results indicate that the soil is classified as volcanic pumices. This type of soil can be susceptible to the collapse of the structure when subjected to shearing (molding), flowing like a viscous liquid. From the numerical modeling, we concluded that r-avaflow performs better than Flo2D. We can reproduce the mudflow satisfactorily using water content in the mixture ranging from 30 to 40 %. Finally, in order to achieve the water content, we need a source of water smaller than 3 million m3 approximately. From the simulations and soil tests, we determined that in the area scoured by the mudflow, there were around 2 789 500 m3 of water within the soil. Therefore, the conditions of the valley were crucial to enhance the impacts of the landslide. This result is relevant because it highlights the importance of evaluating the complete chain of events to map hazards. We suggest that in future hazard mapping, geotechnical studies in combination with hydrodynamic simulation should be included, in particular, when human lives are at risk.

show abstract

On the vertical accuracy of the ALOS world 3D-30m digital elevation model

Cited by 58 publications

References 10 publications

Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

How Well can Spaceborne Digital Elevation Models Represent a Man-Made Structure: A Runway Case Study

Hidden Hazards: the conditions that potentially enabled the mudflow disaster at Villa Santa Lucía in Chilean Patagonia

Contact Info

Product

Resources

About