Structural geometry of Ikogosi warm spring, southwestern Nigeria: evidence from aeromagnetic and remote sensing interpretation

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Naheem Banji Salawu ◽  
Julius Ogunmola Fatoba ◽  
Leke Sunday Adebiyi ◽  
Akinola Bolaji Eluwole ◽  
Nurudeen Kolawole Olasunkanmi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Structural Geometry ◽  
Southwestern Nigeria ◽  
Warm Spring ◽  
Remote Sensing Interpretation

scholarly journals Remote Sensing Investigation of Geological Hazards in Xingguo County, Jiangxi Province

2019 ◽  
Vol 131 ◽  
pp. 01056
Author(s):  
Min Yu ◽  
Jiangqin Chao
Keyword(s):  
Remote Sensing ◽  
Debris Flow ◽  
Jiangxi Province ◽  
Landsat 8 ◽  
Geological Environment ◽  
Geological Disasters ◽  
Work Area ◽  
Ground Collapse ◽  
Geological Disaster ◽  
Remote Sensing Interpretation

Xingguo County is located in the middle and low hilly mountainous areas. The area of the landslide, collapse and debris flow geological disasters is large. The sudden geological disasters such as landslides and mudslides caused by heavy rainfall are increasing year by year. This study mainly used high-altitude aerial imagery (0.5m) and Landsat 8 OLI satellite imagery covering Xingguo County as the data source, carried out remote sensing interpretation of geological environment background conditions and geological disasters in the whole area, and carried out on-site verification. At the same time, the correlation between the stratigraphic structure, topography and other factors in the study area and the spatial distribution characteristics of geological disaster points are discussed. The results show that: (1) based on remote sensing image interpretation of 377 geological disaster points; 83 landslide points, 229 hidden danger points, 17 collapse points, 26 hidden danger points, 1 hidden danger point, ground collapse point 1 At 20 places in the geological environment. (2) From the results of remote sensing interpretation, the types of geological disasters in the work area are mainly landslides and landslide hazards (including collapse type), and there are fewer collapses, collapses and debris flow hazards, and most landslide hazard points are unstable. (3) From the distribution of geological disasters, it is mainly within the scope of artificial influence. The construction of excavation slopes on the roads leads to instability of the slopes and induces disasters under the influence of rainfall. In addition, there are a large number of artificial mining mines in the work area. These places are also prone to geological disasters due to unreasonable mining and subsequent prevention and control work. (4) Areas with strong human activities, areas near the fault structure and water system roads are the main influencing factors for geological disasters in the work area.

Preliminary understanding of the emplacement mechanism for the Tahman rock avalanche based on deposit landforms

2019 ◽  
Vol 53 (3) ◽  
pp. 460-465
Author(s):  
Yuxuan Zhu ◽  
Fuchu Dai ◽  
Xin Yao
Keyword(s):  
Remote Sensing ◽  
Rock Avalanche ◽  
Field Investigation ◽  
Lateral Shear ◽  
Emplacement Mechanism ◽  
Remote Sensing Interpretation

Based on remote sensing interpretation, detailed field investigation of the deposit landforms and previous research, we propose that the emplacement mechanism of the Tahman rock avalanche, a giant Holocene rock avalanche, can be divided into three distinct phases: an extension-dominated sliding phase, a lateral shear-dominated sliding phase and a compression-dominated sliding phase.

scholarly journals Reply to discussion on ‘Spectral analysis of aeromagnetic data for geothermal energy investigation of Ikogosi Warm Spring - Ekiti State, southwestern Nigeria’

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Ema Michael Abraham ◽  
Kolawole Muideen Lawal ◽  
Amobi Chigozie Ekwe ◽  
Owens Alile ◽  
Kehinde Ayofe Murana ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Geothermal Energy ◽  
Aeromagnetic Data ◽  
Southwestern Nigeria ◽  
Warm Spring

scholarly journals INFORMATION EXTRACTION OF TOURIST GEOLOGICAL RESOURCES BASED ON 3D VISUALIZATION REMOTE SENSING IMAGE

2018 ◽  
Vol XLII-3 ◽  
pp. 1815-1820 ◽  
Author(s):  
X. Wang
Keyword(s):  
Remote Sensing ◽  
3D Visualization ◽  
Three Dimensional ◽  
Remote Sensing Image ◽  
Geological Structure ◽  
Image Features ◽  
Aerial Images ◽  
Earth Model ◽  
Heritage Sites ◽  
Remote Sensing Interpretation

Tourism geological resources are of high value in admiration, scientific research and universal education, which need to be protected and rationally utilized. In the past, most of the remote sensing investigations of tourism geological resources used two-dimensional remote sensing interpretation method, which made it difficult for some geological heritages to be interpreted and led to the omission of some information. This aim of this paper is to assess the value of a method using the three-dimensional visual remote sensing image to extract information of geological heritages. skyline software system is applied to fuse the 0.36 m aerial images and 5m interval DEM to establish the digital earth model. Based on the three-dimensional shape, color tone, shadow, texture and other image features, the distribution of tourism geological resources in Shandong Province and the location of geological heritage sites were obtained, such as geological structure, DaiGu landform, granite landform, Volcanic landform, sandy landform, Waterscapes, etc. The results show that using this method for remote sensing interpretation is highly recognizable, making the interpretation more accurate and comprehensive.

scholarly journals “3S” TECHNOLOGIES AND APPLICATION FOR DYNAMIC MONITORING SOIL AND WATER LOSS IN THE YANGTZE RIVER BASIN, CHINA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1563-1567
Author(s):  
C. Li ◽  
J. Yao ◽  
R. Li ◽  
Y. Zhu ◽  
H. Yao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Yangtze River ◽  
Soil Loss ◽  
Yangtze River Basin ◽  
Dynamic Monitoring ◽  
The Yangtze River ◽  
Soil And Water Loss ◽  
The Yangtze River Basin ◽  
Remote Sensing Interpretation

Abstract. For China, which has many big rivers, there is an urgent need for efficient dynamic monitoring technology of water and soil loss. However, there are some problems in the current 3S (RS, GIS and GPS) technology for dynamic monitoring water and soil loss. This paper takes the Yangtze River Basin as an example to innovate and optimize the key technologies of the remote sensing interpretation of the water and soil loss dynamic monitoring of the Yangtze River Basin, and overcome the major technical difficulties in the remote sensing interpretation of the dynamic monitoring of water and soil loss. The key technologies include: 1) The establishment of a field investigation platform based on Internet and UAV (Unmanned Aerial Vehicle) for remote sensing interpretation; 2) Near real-time evaluating key factors of soil and water loss based on UAV photogrammetry and digital terrain analysis; 3) Geometric and Radiometric Simultaneous Correction Model (GRSCM) framework for remote sensing images pre-processing; 4) An object-oriented land use change update quality control method supported by multi-PC and GIS; and an object-oriented remote sensing image classification system based on random forest, deep learning and transfer learning; 5) Improvement of quantitative change detection method for image vegetation and three-dimensional topography. The results have been successfully applied in the remote sensing interpretation of the dynamic monitoring of water and soil loss in the national key prevention and control area of the Yangtze River Basin. They have been provided a scientific reference for the development planning of The Yangtze River Economic Zone.

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