Applications of high-resolution topography in Earth science education

Robinson, Sarah; Bohon, W.; Kleber, Emily; Arrowsmith, J Ramón; Crosby, C. J.

doi:10.1130/ges01236.1

Cited by 14 publications

(8 citation statements)

References 31 publications

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“…Our Web Mapping Service visualization (Figure 8) demonstrates an approach to sharing Big Data studies, which is important for results such as these to be well communicated and possibly used to inform policy [2]. We expect that the web-based, easy-to-access visualization of our results will lead to a broader utilization of our work, especially in education [55] and by state and local policy makers.…”

Section: Large-scale Topographic Differencing Challengesmentioning

confidence: 99%

Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA

et al. 2022

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Differencing multi-temporal topographic data (radar, lidar, or photogrammetrically derived point clouds or digital elevation models—DEMs) measures landscape change, with broad applications for scientific research, hazard management, industry, and urban planning. The United States Geological Survey’s 3D Elevation Program (3DEP) is an ambitious effort to collect light detection and ranging (lidar) topography over the United States’ lower 48 and Interferometric Synthetic Aperture Radar (IfSAR) in Alaska by 2023. The datasets collected through this program present an important opportunity to characterize topography and topographic change at regional and national scales. We present Indiana statewide topographic differencing results produced from the 2011–2013 and 2016–2020 lidar collections. We discuss the insights, challenges, and lessons learned from conducting large-scale differencing. Challenges include: (1) designing and implementing an automated differencing workflow over 94,000 km2 of high-resolution topography data, (2) ensuring sufficient computing resources, and (3) managing the analysis and visualization of the multiple terabytes of data. We highlight observations including infrastructure development, vegetation growth, and landscape change driven by agricultural practices, fluvial processes, and natural resource extraction. With 3DEP and the U.S. Interagency Elevation Inventory data, at least 37% of the Contiguous 48 U.S. states are already covered by repeat, openly available, high-resolution topography datasets, making topographic differencing possible.

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Section: Large-scale Topographic Differencing Challengesmentioning

confidence: 99%

Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA

et al. 2022

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“…High-resolution topographic datasets (structure from motion and ground-based and airborne lidar) are increasing useful for disciplines ranging from geomorphology, tectonics, to engineering and construction (Bemis et al, 2014;Passalacqua et al, 2015;Robinson et al, 2017;Tarolli, 2014;Westoby et al, 2012). Use of high-resolution data in Earth Science education allows 75 students to quantify landscapes and their change at submeter resolution (Pratt-Sitaula et al, 2017;Robinson et al, 2017).…”

Section: Value Of Course Topicmentioning

confidence: 99%

Comment on gc-2021-26

2021

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“…; Robinson et al. ), thus opening new opportunities for landscape investigation and management and helping analyze erosion processes at unprecedented spatial and temporal scales. Although the availability of drone‐based light detection and ranging (LiDAR) DEMs is growing fast, SfM‐based surveys can be regarded as the optimal combination in terms of cost‐effectiveness at least up to the mesoscale/landform analysis extent (Carrivick et al.…”

Section: Introductionmentioning

confidence: 99%

“…Survey campaigns can be easily repeated and largely automated for fast and accurate multitemporal terrain representation (Westoby et al, 2012;Micheletti et al, 2014). SfM surveys are increasingly becoming widespread tools also for community-based environmental data retrieval and education (Sofia et al, 2016;Robinson et al, 2017), thus opening new opportunities for landscape investigation and management and helping analyze erosion processes at unprecedented spatial and temporal scales. Although the availability of drone-based light detection and ranging (LiDAR) DEMs is growing fast, SfM-based surveys can be regarded as the optimal combination in terms of cost-effectiveness at least up to the mesoscale/landform analysis extent (Carrivick et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses

Crema

Llena

Calsamiglia

et al. 2020

Earth Surf Processes Landf

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The investigation of form and processes in geomorphology and ecology is highly dependent on topographic data: a reliable digital terrain representation is in fact a key issue across environmental and earth sciences. In many cases, the processing of high‐resolution topographic data (e.g., light detection and ranging (LiDAR), structure from motion) has to face issues such as void filling, vegetation/feature removal and interpolation accuracy that are usually related to (i) intrinsic limitations of the adopted technology, (ii) local conditions affecting the survey or (iii) specific design scenario. In this paper, we develop a methodology to test the accuracy of an image inpainting algorithm to fill data voids in complex mountain areas. The devised experiment exploits the availability of a high‐resolution, LiDAR‐derived digital terrain model and the inpainting approach accuracy is checked against some widely used interpolation techniques (natural neighbor, spline, inverse distance weighting, kriging). In order to better mimic the actual surface texture, a methodology to introduce local topographic variability to the interpolated surface is also presented. The results show a better performance of the inpainting algorithm especially in the case of complex and rugged topography. Two examples showing an effective usage and accuracy of the proposed technique are reported, highlighting the drawbacks that a poor surface representation can introduce. The whole procedure is made freely available within a Matlab® script with the addition of sample files. ©2019 John Wiley & Sons, Ltd. ©2020 John Wiley & Sons, Ltd.

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Applications of high-resolution topography in Earth science education

Cited by 14 publications

References 31 publications

Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA

Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA

Comment on gc-2021-26

Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses

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