Morphological differentiation characteristics and classification criteria of lunar surface relief amplitude

Deng, Jiayin; Cheng, Weiming; Liu, Qiangyi; Jiao, Yimeng; Liu, Jianzhong

doi:10.1007/s11442-022-2052-z

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…The observation that first-order streams constitute over half of the river network distribution implies that the study area experiences abundant and well-established surface runoff, with the likelihood of additional tributaries forming over time. (2) The procedural steps for extracting terrain characteristic parameters from ALOS DEM offer valuable insights for studying complex terrain. This study determines that the optimal analysis window for extracting terrain feature parameters in this area is 16 × 16, with an optimal statistical area of 0.04 km 2 .…”

Section: Discussionmentioning

confidence: 99%

“…(2) The procedural steps for extracting terrain characteristic parameters from ALOS DEM offer valuable insights for studying complex terrain. This study determines that the optimal analysis window for extracting terrain feature parameters in this area is 16 × 16, with an optimal statistical area of 0.04 km 2 . Conducting correlation analysis on terrain characteristic parameters can mitigate information redundancy.…”

Section: Discussionmentioning

confidence: 99%

“…The investigation of topographic and geomorphic features consistently holds significant scientific value in enhancing our comprehension of Earth's surface morphology, the evolution of geomorphic development, and geological history. Within this context, geomorphology encompasses mountains, valleys, plateaus, and rivers, playing a vital role in shaping surface features and influencing the occurrence of natural disasters [2,3]. Given the growing integration of geomorphometry and terrain analysis with associated disciplines, including mathematics, physics, and information science, exploring terrain features has transitioned from qualitative to quantitative research [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM)

Wei,

Gan,

Yuan

et al. 2023

Applied Sciences

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Geomorphological surveys and terrain analysis are essential for geomorphology, hydrology, and geographic information systems (GIS). Terrain characterization parameters are fundamental for comprehending geomorphological processes, delineating landforms, and evaluating geohazards. Hence, this study relies on data from the Gaofen-2 satellite (GF-2) and the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM). Focusing on the ring tectonics landform of Dinosaur Valley, the research utilizes visual interpretation, GIS terrain parameter extraction techniques, and visual mapping to identify, measure, and analyze terrain features. The results indicate that ALOS DEM can offer accurate geomorphic feature information. The optimal threshold for extracting the surface water system network is 150, and the optimal analysis window for extracting terrain feature parameters is 16 × 16 (0.04 km2), determined through statistical methods. This study reveals distinct double-ring linear features and prominent ring-shaped terrain characteristics by extracting terrain feature parameters and utilizing mathematical and statistical analysis. The topography gradually ascends from the center to the ridgeline and then descends to the valley line, resembling a bowl shape. This study highlights the potential application of ALOS DEM for accurately identifying topographic features in the intricate mountains of the Yunnan Plateau. It establishes a practical research framework for high-precision topographic datasets and geomorphological characterization, facilitating further analysis of the evolution of topographic development and the assessment of tectonic activity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM)

Wei,

Gan,

Yuan

et al. 2023

Applied Sciences

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“…The GRASS GIS and ArcGIS Surface Parameters tools fit a surface to the surrounding cells, resulting in smooth terrain. The relief amplitude also displays significant scale dependence and is commonly used for landform classification [28,29]. Therefore, slope and relief amplitude issues at multiple scales are also the focus of this study.…”

Section: Problems Faced With Slope and Relief Amplitudementioning

confidence: 99%

Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm

Yan,

Tang,

et al. 2024

IJGI

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The intervalley plain is an important type of landform for mapping, and it has good connectivity for urban construction and development on the Loess Plateau. During the global landform mapping of the Deep-time Digital Earth (DDE) Big Science Program, it was found that slope and relief amplitude hardly distinguished intervalley plains from intermountain flats. This study established a novel descriptive method based on a digital elevation model to describe the difference between intervalley plains and intermountain flats. With the proposed method, first the pattern of variation in the elevation angle is described using a sight line on the terrain profile, and the lowest elevation angle (LEA) is extracted. The maximum value of the LEA is subsequently used among multiple terrain profiles to represent the maximum velocity of the elevation decrease, that is, the three-dimensional lowest elevation angle (3D LEA), to represent the intervalley plains with lower 3D LEA values. The sight parameters of the 3D LEA are evaluated to optimize the intervalley plain mapping. The functional mechanism of the sight parameters is presented from a mathematical perspective and a comparative analysis of the 3D LEA is performed for the relief amplitude and slope angle at multiple scales. This study explores sight-line analysis in a novel way, providing a new terrain factor for landform mapping involving intervalley plains.

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“…Geomorphology refers to the formation of a wide variety of undulating forms on the earth's surface since internal and external geological forces are continuously being shaped. It is a vital factor in understanding and analyzing the distribution of geological features of the natural geographic environment and geological structures [1,2]. The analysis of geomorphic features takes on a critical significance to the research of natural environment change [3], land use type distribution [4], disaster identification [5], and geological tectonic movement [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-View Analysis of High-Resolution Geomorphic Features in Complex Mountains Based on UAV–LiDAR and SfM–MVS: A Case Study of the Northern Pit Rim Structure of the Mountains of Lufeng, China

Gan

Yuan

et al. 2023

Applied Sciences

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Unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR) can be used to analyze the geomorphic features in complex plateau mountains. Accordingly, a UAV–LiDAR system was adopted in this study to acquire images and lidar point-cloud dataset in the annular structure of Lufeng, Yunnan. A three-dimensional (3D) model was constructed based on structure from motion and multi-view stereo (SfM–MVS) in combination with a high-resolution digital elevation model (DEM). Geomorphic identification, measurement, and analysis were conducted using integrated visual interpretation, DEM visualization, and geographic information system (GIS) topographic feature extraction. The results indicated that the 3D geomorphological visualization and mapping were based on DEM, which was employed to identify the dividing lines and ridges that were delineated of the pit rim structure. The high-resolution DEM retained more geomorphic detail information, and the topography and the variation between ridges were analyzed in depth. The catchment and ponding areas were analyzed using accurate morphological parameters through a multi-angle 3D visualization. The slope, aspect, and topographic wetness index (TWI) parameters were analyzed through mathematical statistics to qualitatively and accurately analyze the differences between different ridges. This study highlighted the significance of the UAV–LiDAR high-resolution topographic measurements and the SfM–MVS 3D scene modelling in accurately identifying geomorphological features and conducting refined analysis. An effective framework was established to acquire high-precision topographic datasets and to analyze geomorphological features in complex mountain areas, which was beneficial in deepening the research on numerical simulation analysis of geomorphological features and reveal the process evolution mechanism.

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Morphological differentiation characteristics and classification criteria of lunar surface relief amplitude

Cited by 6 publications

References 19 publications

Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM)

Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM)

Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm

Multi-View Analysis of High-Resolution Geomorphic Features in Complex Mountains Based on UAV–LiDAR and SfM–MVS: A Case Study of the Northern Pit Rim Structure of the Mountains of Lufeng, China

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