the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
AscDAMs: Advanced SLAM-based channel detection and mapping system
Abstract. Obtaining high-resolution, accurate channel topography and deposit conditions is the prior challenge for the study of channelized debris flow. Currently, wide-used mapping technologies including satellite imaging and drone photogrammetry struggle to precisely observe channel interior conditions of mountainous long-deep gullies, particularly those in the Wenchuan Earthquake region. Simultaneous localization and mapping (SLAM) is an emerging tech for 3D mapping; however, extremely rugged environment in long-deep gullies poses two major challenges even for the state-of-art SLAM: (1) Atypical features; (2) Violent swaying and oscillation of sensors. These issues result in large deviation and lots of noise for SLAM results. To improve SLAM mapping in such environments, we propose an advanced SLAM-based channel detection and mapping system, namely AscDAMs. It features three main enhancements to post-process SLAM results: (1) The digital orthophoto map aided deviation correction algorithm greatly eliminates the systematic error; (2) The point cloud smoothing algorithm substantially diminishes noises; (3) The cross section extraction algorithm enables the quantitative assessment of channel deposits and their changes. By calculating and comparing two datasets collected during the field experiments before and after the rainy season, we demonstrate the capability of AscDAMs to greatly improve SLAM results, promoting SLAM for mapping the specially challenging environment. The proposed method compensates for the insufficiencies of existing technologies in detecting debris flow channel interiors including detailed channel morphology, erosion patterns, deposit distinction, volume estimation and change detection. It serves to enhance the study of full-scale debris flow mechanisms, long-term post-seismic evolution, and hazard assessment.
Status: open (until 06 Jul 2024)
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RC1: 'Comment on egusphere-2024-580', Anonymous Referee #1, 28 Jun 2024
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I) General Comments:
The paper entitled “AscDAMs: Advanced SLAM-based channel detection and mapping system” by Tengfei Wang and co-authors presents a technical work that aims to improve the tools for better geomorphologic assessment of debris flows channels.
This is an interesting work that aims also to improve and cover the incertainties posed by satellite image.
The data for this study was acquired on field work, carried out on an experimental area in Chutou Gully, China, through two field experiments in 2023.
To achieve their goals, the authors have developed an advanced channel detection and mapping system (AscDAMs) to improve 3D mapping (SLAM - Simultaneous localization and mapping), through the development of several algorithms to overcome mapping inaccuracies and noise.
The proposed tool (AscDAMs), has an important contribution for post-process SLAM results, namely through algorithms for correcting deviation, smoothing point cloud, and cross-section extraction.This is mostly a technical contribution to better assess natural hazards, whose technical and scientific advances my serve as the basis and support for future geomorphologic works aiming a better comprehension of the main mechanisms leading to debris flows.
The paper deserves publication in Natural Hazards and Earth System Sciences, however some issues should be considered.
I suggest minor revisions.II) Specific comments:
Some aspects should be clarified
a) Section 5.3 - 1st paragraph, last sentence:
When you say that AscDAMs can be also successful for less demanding scenarios, do you think that this tool can be successful as well in gentler (less mountainous) areas, where geomorphology is not so steep, and channels are wider? Flatter areas can they be surveyed and assessed with such success, despite the lower altimetric and geomorphologic contrast?b) Section 5.4 - (2):
Considering the color contrast limitations, is AscDAMs an effective tool for non-vegetated areas, like unvegetated steep areas affected by debris flows, or other slope movements?c) The conclusion is quite technical. However, it should give more attention to the geomorphological analysis, i.e., should be complemented with more explicit conclusions focused on geomorphology.
It should be more emphasized the contribution of these findings for science in general, and for debris flow and geomorphological analysis in particular.III) Technical issues:
d) Figure 5: the relative elevation legend you jumped from 100 m to 200 m and then to decreased to 150 and 250. It might be a typo error.
Citation: https://doi.org/10.5194/egusphere-2024-580-RC1 -
RC2: 'Comment on egusphere-2024-580', Anonymous Referee #2, 29 Jun 2024
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This manuscript presents the research and development of technology and systems for waterway detection and mapping based on SLAM, which is of great importance for the mapping of debris flow terrains and disaster prevention and mitigation efforts related to debris flows. I have only one suggestion: in the final section of Conclusions and Prospects, the content related to prospects should be included in the Discussion section under the heading of limitations.
Citation: https://doi.org/10.5194/egusphere-2024-580-RC2
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