scholarly journals A NEW GLOBAL CATALOGUE OF LUNAR CRATERS (≥1 KM) WITH 3D INFORMATION AND PRELIMINARY RESULTS OF GLOBAL ANALYSIS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1171-1176 ◽  
Author(s):  
Y. Wang ◽  
B. Wu
Keyword(s):  
Global Analysis ◽  
Planetary Science ◽  
Lunar Crater ◽  
Impact Cratering ◽  
Crater Detection ◽  
Digital Elevation ◽  
Lunar Craters ◽  
3D Information ◽  
Geological Units ◽  
Geomorphological Features

Abstract. Impact craters are the predominant geomorphological features on the lunar surface. They can be studied to infer the ages of the lunar surfaces, the generation processes of the geological units, and the sequences of its geological events. Lunar crater-related research is dependent on crater records, which are usually stored in the form of crater catalogues. In the past, various efforts have been dedicated to generating global lunar crater catalogues. All published global catalogues, however, either contain only relatively large craters or lack 3D morphological information. This paper first presents approaches for automatic crater detection and the extraction of crater morphological information. The approaches have been performed on the lunar global datasets, e.g., digital elevation models (DEMs) and images, resulting in a global catalogue of lunar craters. To guarantee the reliability of the crater detection results, intensive manual-checking processes have been performed to improve the correctness and completeness of the catalogue. The generated global catalogue contains entries on 1.31 million lunar craters. It extends the existing global catalogues to craters with diameters ≥1 km and enriched with 3D morphological information of craters. Global analyses of craters were conducted based on the newly generated catalogue, including the analysis of crater density and depth-to-diameter ratio. We re-examined the previously observed distributions and patterns to show its fidelity and further explored other global relationships, which have not been discovered in previous research. The results updated the clues on impact cratering process and terrain differences. The developed global catalogue of lunar craters can be utilised for different applications by the research community, and the relevant research will help to enrich the literature and facilitate the advancement of crater-related planetary science.

scholarly journals Crater Detection on Moon Surface

2019 ◽  
Vol 9 (2) ◽  
pp. 1447-1451
Keyword(s):  
Hybrid Method ◽  
Lunar Surface ◽  
Morphological Analysis ◽  
Visual Analysis ◽  
Planetary Science ◽  
Crater Size ◽  
Crater Detection ◽  
Interesting Part ◽  
Lunar Craters ◽  
Better Than

Moon is major object of research and crater is one element. Impact craters are initial feature in lunar and planetary science. Estimation of crater is major challenges. Lunar surface is very interesting part of study specially detection of crater and its age. So, exact detection of crater is necessary. For morphological analysis and detection of crater size distribution lunar craters is necessary. Detection of craters from visual analysis may be a tough task because it needs vast information regarding that particular area also it need skill and lots of manpower. Thus cheapest and Powerful automatic crater detection methodology is required. For better detection of crater here image based crater detection is proposed. In this, the crater will detected with different methodology like SVD, KNN and Hybrid method using CHANDRAYAAN-1 TMC image with the help of MATLAB.KNN found better than SVD and hybrid method takes advantages of both

scholarly journals A study on the use of planarity for quick identification of potential landslide hazard

2015 ◽  
Vol 15 (5) ◽  
pp. 997-1009 ◽  
Author(s):  
M. H. Baek ◽  
T. H. Kim
Keyword(s):  
Hazard Assessment ◽  
Ground Surface ◽  
Landslide Hazard ◽  
Axial Orientation ◽  
Orientation Data ◽  
Landslide Hazard Assessment ◽  
Geotechnical Monitoring ◽  
Digital Elevation ◽  
Elevation Model ◽  
Geomorphological Features

Abstract. In this study we focused on identifying a geomorphological feature that controls the location of landslides. The representation of the feature is based on a high-resolution digital elevation model derived from the airborne laser altimetry (LiDAR) and evaluated by the statistical analysis of axial orientation data. The main principle of this analysis is generating eigenvalues from axial orientation data and comparing them. The planarity, a ratio of eigenvalues, would tell the degree of irregularity on the ground surface based on their ratios. Results are compared to the recent landslide case in Korea in order to evaluate the feasibility of the proposed methodology in identifying the potential landslide hazard. The preliminary landslide hazard assessment based on the planarity analysis discriminates features between stable and unstable domain in the study area well, especially in the landslide initiation zones. Results also show it is beneficial to build the landslide hazard inventory mapping, especially where no information on historical records of landslides exists. By combining other physical procedures such as geotechnical monitoring, the landslide hazard assessment using geomorphological features promises a better understanding of landslides and their mechanisms and provides an enhanced methodology to evaluate their hazards and appropriate actions.

scholarly journals Revised modelling of the post-AD 79 volcanic deposits of Somma-Vesuvius to reconstruct the pre-AD 79 topography of the Sarno River plain (Italy)

2011 ◽  
Vol 62 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Sebastian Vogel ◽  
Michael Märker ◽  
Florian Seiler
Keyword(s):  
Model Performance ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Alluvial Fans ◽  
Digital Elevation ◽  
Volcanic Deposits ◽  
Elevation Model ◽  
River Plain ◽  
Geomorphological Features ◽  
Sarno River

Revised modelling of the post-AD 79 volcanic deposits of Somma-Vesuvius to reconstruct the pre-AD 79 topography of the Sarno River plain (Italy) In this study the methodology proposed by Vogel & Märker (2010) to reconstruct the pre-AD 79 topography and paleo-environmental features of the Sarno River plain (Italy) was considerably revised and improved. The methodology is based on an extensive dataset of stratigraphical information from the entire Sarno River plain, a high-resolution present-day digital elevation model (DEM) and a classification and regression tree approach. The dataset was re-evaluated and 32 additional stratigraphical drillings were collected in areas that were not or insufficiently covered by previous stratigraphic data. Altogether, an assemblage of 1,840 drillings, containing information about the depth from the present-day surface to the pre-AD 79 paleo-surface (thickness of post-AD 79 deposits) and the character of the pre-AD 79 paleo-layer of the Sarno River plain was utilized. Moreover, an improved preprocessing of the input parameters attained a distinct progress in model performance in comparison to the previous model of Vogel & Märker (2010). Subsequently, a spatial model of the post-AD 79 deposits was generated. The modelled deposits were then used to reconstruct the pre-AD 79 topography of the Sarno River plain. Moreover, paleo-environmental and paleo-geomorphological features such as the paleo-coastline, the paleo-Sarno River and its floodplain, alluvial fans near the Tyrrhenian coast as well as abrasion terraces of historical and protohistorical coastlines were identified. This reconstruction represents a qualitative improvement of the previous work by Vogel & Märker (2010).

scholarly journals Morphometric relief features of Kremenets Mountains

2015 ◽  
pp. 3-13 ◽  
Author(s):  
Andrii Bermes
Keyword(s):  
Spatial Modelling ◽  
Morphometric Parameters ◽  
Gis Analysis ◽  
Gis Technologies ◽  
Vertical Partitioning ◽  
Digital Elevation ◽  
Morphometric Features ◽  
Horizontal Partitioning ◽  
Geomorphological Features ◽  
Morphogenetic Analysis

Geomorphological structure and morphometric features of Kremenets Mountains are determined. The differences in geomorphic structure, morphometric parameters of individual sections of the study area are highlighted. The opportunity of the modelling of morphometric parameters using GIS technologies is considered. Certain regularities in the distribution of morphometric parameters on investigated area are revealed. Morphometric data processing and the construction of a series of morphometric maps using GIS-analysis and spatial modelling for Kremenets Mountains are done. A number of basic morphometric maps of the territory of Kremenets Mountains are constructed, namely horizontal and vertical partitioning of the territory, steepness of slopes and slope exposure. Based on the constructed maps certain regularities of geomorphological features of the territory of Kremenets Mountains, morphological features of the relief components are detected. The value of morphometric parameters could be used in complex morphogenetic analysis of the area of study. Key words: Kremenets Mountains, morphometric analysis, morphometric parameters, watershed, relict hills, GIS (geographic information systems), digital elevation models, horizontal partitioning, vertical partitioning, slopes, slope exposure.

scholarly journals Global analysis of the slope of forest land

2020 ◽  
Author(s):  
Mikael Lundbäck ◽  
Henrik Persson ◽  
Carola Häggström ◽  
Tomas Nordfjell
Keyword(s):  
Large Scale ◽  
Forest Cover ◽  
Global Analysis ◽  
Forest Area ◽  
Forest Land ◽  
Digital Elevation ◽  
Total Forest Area ◽  
Cent Point ◽  
Elevation Model ◽  
Country Specific

Abstract Forests of the world constitute one-third of the total land area and are critical for e.g. carbon balance, biodiversity, water supply and as source for bio-based products. Although the terrain within forest land has a great impact on accessibility, there is a lack of knowledge about the distribution of its variation in slope. The aim was to address that knowledge gap and create a globally consistent dataset of the distribution and area of forest land within different slope classes. A Geographic Information System (GIS) analysis was performed using the open-source QGIS, GDAL and R software. The core of the analysis was a digital elevation model and a forest cover mask, both with a final resolution of 90 m. The total forest area according to the forest mask was 4.15 billion hectares whereof 82 per cent was on slope < 15°. The remaining 18 per cent was distributed over the following slope classes, with 6 per cent on a 15–20° slope, 8 per cent on a 20–30° slope and 4 per cent on a slope > 30°. Out of the major forestry countries, China had the largest proportion of forest steeper than 15° followed by Chile and India. A sensitivity analysis with 20 m resolution resulted in increased steep areas by 1 per cent point in flat Sweden and by 11 per cent points in steep Austria. In addition to country-specific and aggregated results of slope distribution and forest area, a global raster dataset is also made freely available to cover user-specific areas that are not necessarily demarcated by country borders. Apart from predicting the regional possibilities for different harvesting equipment, which was the original idea behind this study, the results can be used to relate geographical forest variables to slope. The results could also be used in strategic forest fire fighting and large-scale planning of forest conservation and management.

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