scholarly journals Volkanostratigrafi Inderaan Jauh Kompleks Gunungapi Gede dan Sekitarnya, Jawa Barat, Indonesia

2019 ◽  
Vol 20 (1) ◽  
pp. 9
Author(s):  
Fitriani Agustin ◽  
Sutikno Bronto
Keyword(s):  
Remote Sensing ◽  
Geological Mapping ◽  
Lava Flows ◽  
Energy Resources ◽  
Visual Interpretation ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Digital Elevation ◽  
History Of ◽  
Elevation Model

Remote sensing technology greatly helps to identify the various of volcano features, including active, old and ancient volcanoes. The aim of this  paper is intended to introduce various volcanic features in the Gede Volcano Complexs (GVC) and souronding area; compose volcanostratigraphy; and estimate the history of the volcanoes. The method used is a visual interpretation 9 meters spatial resolution of Digital Elevation Model (DEM) TerraSar-x image. Indonesian Stratigraphy Nomenclature Guide 1996 was implemented in vocanostratigraphy unit classification, involving Arc, Super Brigate, Brigate, Crown and Hummockly. Based on the interpretation the DEM image, volcanostratigraphic unit the Gede Volcano Complex consists of Bregade Masigit (Br. M.), which consists of Joklok (Gm.J.) and Gegerbentang (Gm.G.) Hummocs; Crown Lingkung (Kh.L.) consisting of Pangrango (Gm.P.), Situ Gunung (Gm Sg.), Cikahuripan (Gm.Ck.), Pasir Prahu (Gm.Ph) Hummocs; Gege Crown (Kh.G.), which is located in the east of Lingkung Crown. The Gede Crown consists of Gumuruh humock (Gm.Gh.), Gunung Gede lava flows (LG 1,2,3,4,5), and giant debrise avalances (gv-G). The geological mapping based volcanostratigraphy is very useful for exploration of mineral and energy resources, as well as geological hazards.Keywords : volcanostratigraphy, DEM TerraSar-x image, Gunung Gede Complexs.

scholarly journals Volkanostratigrafi Inderaan Jauh Kompleks Gunungapi Gede dan Sekitarnya, Jawa Barat, Indonesia

2019 ◽  
Vol 20 (1) ◽  
pp. 9
Author(s):  
Fitriani Agustin ◽  
Sutikno Bronto
Keyword(s):  
Remote Sensing ◽  
Geological Mapping ◽  
Lava Flows ◽  
Energy Resources ◽  
Visual Interpretation ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Digital Elevation ◽  
History Of ◽  
Elevation Model

Remote sensing technology greatly helps to identify the various of volcano features, including active, old and ancient volcanoes. The aim of this  paper is intended to introduce various volcanic features in the Gede Volcano Complexs (GVC) and souronding area; compose volcanostratigraphy; and estimate the history of the volcanoes. The method used is a visual interpretation 9 meters spatial resolution of Digital Elevation Model (DEM) TerraSar-x image. Indonesian Stratigraphy Nomenclature Guide 1996 was implemented in vocanostratigraphy unit classification, involving Arc, Super Brigate, Brigate, Crown and Hummockly. Based on the interpretation the DEM image, volcanostratigraphic unit the Gede Volcano Complex consists of Bregade Masigit (Br. M.), which consists of Joklok (Gm.J.) and Gegerbentang (Gm.G.) Hummocs; Crown Lingkung (Kh.L.) consisting of Pangrango (Gm.P.), Situ Gunung (Gm Sg.), Cikahuripan (Gm.Ck.), Pasir Prahu (Gm.Ph) Hummocs; Gege Crown (Kh.G.), which is located in the east of Lingkung Crown. The Gede Crown consists of Gumuruh humock (Gm.Gh.), Gunung Gede lava flows (LG 1,2,3,4,5), and giant debrise avalances (gv-G). The geological mapping based volcanostratigraphy is very useful for exploration of mineral and energy resources, as well as geological hazards.Keywords : volcanostratigraphy, DEM TerraSar-x image, Gunung Gede Complexs.

scholarly journals Volkanostratigrafi Inderaan Jauh Kompleks Gunungapi Gede dan Sekitarnya, Jawa Barat, Indonesia

2019 ◽  
Vol 20 (1) ◽  
pp. 9
Author(s):  
Fitriani Agustin ◽  
Sutikno Bronto
Keyword(s):  
Remote Sensing ◽  
Geological Mapping ◽  
Lava Flows ◽  
Energy Resources ◽  
Visual Interpretation ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Digital Elevation ◽  
History Of ◽  
Elevation Model

Remote sensing technology greatly helps to identify the various of volcano features, including active, old and ancient volcanoes. The aim of this  paper is intended to introduce various volcanic features in the Gede Volcano Complexs (GVC) and souronding area; compose volcanostratigraphy; and estimate the history of the volcanoes. The method used is a visual interpretation 9 meters spatial resolution of Digital Elevation Model (DEM) TerraSar-x image. Indonesian Stratigraphy Nomenclature Guide 1996 was implemented in vocanostratigraphy unit classification, involving Arc, Super Brigate, Brigate, Crown and Hummockly. Based on the interpretation the DEM image, volcanostratigraphic unit the Gede Volcano Complex consists of Bregade Masigit (Br. M.), which consists of Joklok (Gm.J.) and Gegerbentang (Gm.G.) Hummocs; Crown Lingkung (Kh.L.) consisting of Pangrango (Gm.P.), Situ Gunung (Gm Sg.), Cikahuripan (Gm.Ck.), Pasir Prahu (Gm.Ph) Hummocs; Gege Crown (Kh.G.), which is located in the east of Lingkung Crown. The Gede Crown consists of Gumuruh humock (Gm.Gh.), Gunung Gede lava flows (LG 1,2,3,4,5), and giant debrise avalances (gv-G). The geological mapping based volcanostratigraphy is very useful for exploration of mineral and energy resources, as well as geological hazards.Keywords : volcanostratigraphy, DEM TerraSar-x image, Gunung Gede Complexs.DOI: 10.33332/jgsm.2019.v20.1.9-16

scholarly journals Volkanostratigrafi Inderaan Jauh Kompleks Gunungapi Gede dan Sekitarnya, Jawa Barat, Indonesia

2019 ◽  
Vol 20 (1) ◽  
pp. 9
Author(s):  
Fitriani Agustin ◽  
Sutikno Bronto
Keyword(s):  
Remote Sensing ◽  
Geological Mapping ◽  
Lava Flows ◽  
Energy Resources ◽  
Visual Interpretation ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Digital Elevation ◽  
History Of ◽  
Elevation Model

Remote sensing technology greatly helps to identify the various of volcano features, including active, old and ancient volcanoes. The aim of this  paper is intended to introduce various volcanic features in the Gede Volcano Complexs (GVC) and souronding area; compose volcanostratigraphy; and estimate the history of the volcanoes. The method used is a visual interpretation 9 meters spatial resolution of Digital Elevation Model (DEM) TerraSar-x image. Indonesian Stratigraphy Nomenclature Guide 1996 was implemented in vocanostratigraphy unit classification, involving Arc, Super Brigate, Brigate, Crown and Hummockly. Based on the interpretation the DEM image, volcanostratigraphic unit the Gede Volcano Complex consists of Bregade Masigit (Br. M.), which consists of Joklok (Gm.J.) and Gegerbentang (Gm.G.) Hummocs; Crown Lingkung (Kh.L.) consisting of Pangrango (Gm.P.), Situ Gunung (Gm Sg.), Cikahuripan (Gm.Ck.), Pasir Prahu (Gm.Ph) Hummocs; Gege Crown (Kh.G.), which is located in the east of Lingkung Crown. The Gede Crown consists of Gumuruh humock (Gm.Gh.), Gunung Gede lava flows (LG 1,2,3,4,5), and giant debrise avalances (gv-G). The geological mapping based volcanostratigraphy is very useful for exploration of mineral and energy resources, as well as geological hazards.Keywords : volcanostratigraphy, DEM TerraSar-x image, Gunung Gede Complexs.DOI: 10.33332/jgsm.2019.v20.1.9-16

scholarly journals Application of Remote Sensing Technology in Geological Surveying and Mapping

2020 ◽  
Vol 9 (2) ◽  
pp. 34
Author(s):  
Wei Yang
Keyword(s):  
Remote Sensing ◽  
Geological Mapping ◽  
Development Prospect ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Surveying And Mapping

<p>Remote sensing technology is widely used in various industries in China, and plays its own role. In geological surveying and mapping, its remote sensing technology can optimize the process of geological surveying and mapping, change the traditional working methods, and make its geological surveying and mapping results more accurate. Therefore, it is necessary to understand the applications of remote sensing technology in geological mapping. In this paper, we need to understand the content of remote sensing technology first, and then explain the specific application of remote sensing technology in geological surveying and mapping, explain the development prospect of remote sensing technology, and provide reference for the corresponding researchers.</p>

scholarly journals Distinguishing Glaciers between Surging and Advancing by Remote Sensing: A Case Study in the Eastern Karakoram

2020 ◽  
Vol 12 (14) ◽  
pp. 2297 ◽  
Author(s):  
Mingyang Lv ◽  
Huadong Guo ◽  
Jin Yan ◽  
Kunpeng Wu ◽  
Guang Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Google Earth ◽  
High Mountain ◽  
Glacier Mass Balance ◽  
Visual Interpretation ◽  
Stable Mode ◽  
Optical Images ◽  
Digital Elevation ◽  
Glacier Surges ◽  
Elevation Model

The Karakoram has had an overall slight positive glacier mass balance since the end of 20th century, which is anomalous given that most other regions in High Mountain Asia have had negative changes. A large number of advancing, retreating, and surging glaciers are heterogeneously mixed in the Karakoram increasing the difficulties and inaccuracies to identify glacier surges. We found two adjacent glaciers in the eastern Karakoram behaving differently from 1995 to 2019: one was surging and the other was advancing. In order to figure out the differences existing between them and the potential controls on surges in this region, we collected satellite images from Landsat series, ASTER, and Google Earth, along with two sets of digital elevation model. Utilizing visual interpretation, feature tracking of optical images, and differencing between digital elevation models, three major differences were observed: (1) the evolution profiles of the terminus positions occupied different change patterns; (2) the surging glacier experienced a dramatic fluctuation in the surface velocities during and after the event, while the advancing glacier flowed in a stable mode; and (3) surface elevation of the surging glacier decreased in the reservoir and increased in the receiving zone. However, the advancing glacier only had an obvious elevation increase over its terminus part. These differences can be regarded as standards for surge identification in mountain ranges. After combining the differences with regional meteorological conditions, we suggested that changes of thermal and hydrological conditions could play a role in the surge occurrence, in addition, geomorphological characteristics and increasing warming climate might also be part of it. This research strongly contributes to the literatures of glacial motion and glacier mass change in the eastern Karakoram through remote sensing.

Information Extraction and Metallogenic Prediction of Qiangduo Area in Tibet Based on Multi-Source Remote Sensing Data

2014 ◽  
Vol 962-965 ◽  
pp. 127-131
Author(s):  
Xin Xing Liu
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Geological Mapping ◽  
Advanced Technology ◽  
Data Types ◽  
Sensing Data ◽  
Advantages And Disadvantages ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Metallogenic Prediction

Remote sensing technology as a kind of new and advanced technology has been playing an important role in geological mapping and prospecting. A single kind of remote sensing data always has both advantages and disadvantages. And with multispectral remote sensing data types increasing, the integrated application of multi-source remote sensing data will be one of the development trend of remote sensing geology. In this paper, comprehensive utilization of multi-source remote sensing data such as ETM+, ASTER, Worldview-II and DEM, lithology and geological structure of Qiangduo area in Tibet were interpreted in different levels and mineralized alteration information also was extracted. Then on the basis of modern metallogenic theory, analyzed the multiple mineralization favorite information, established the remote sensing prediction model, and on the GIS platform, carried out metallogenic prediction of the study area. The field validation shows that the results of the prediction are relatively accurate and remote sensing technology can improve the efficiency of geological work.

scholarly journals Geological Mapping Using Drone-Based Photogrammetry: An Application for Exploration of Vein-Type Cu Mineralization

Minerals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 585
Author(s):  
Mehdi Honarmand ◽  
Hadi Shahriari
Keyword(s):  
Mineral Exploration ◽  
Low Cost ◽  
Field Work ◽  
Geological Mapping ◽  
Visual Interpretation ◽  
Geological Structures ◽  
Ground Control Points ◽  
Digital Elevation ◽  
Vein Type ◽  
Elevation Model

In this research, drone-based photogrammetry was utilized for mapping geology with the objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran. Cu mineralization is of vein-type and follows geological structures. A low-cost drone was used to collect geological data. A spatial resolution of 3.26 cm was achieved by considering a flight altitude of 70 m. To reach the accuracy of less than 5 cm, 70% lateral and 80% front image overlaps were applied and 220 temporary ground control points (TGCPs) were used in an area of 2.02 km2. TGCPs were accurately positioned using DGPS-RTK measurements. Agisoft PhotoScan software was used for photogrammetric processing. The orthophoto product was performed for outlining geological units through visual interpretation. The digital elevation model (DEM) was converted to a hill-shade model in ArcGIS software to extract the geological structures such as faults and dikes. A draft geology map was prepared using orthophoto and hill-shade images to minimize the time and cost of the subsequent field work. Rock sampling was carried out and Cu-bearing veins were specified through field investigations. The geology map was finalized based on field work data and petrology studies. The geological survey indicated that diabase dikes with a northwest–southeast strike often host Cu mineralization in the study area. The position of Cu-bearing dikes was delineated for the next stage of the exploration program. This research demonstrated the time- and cost-effectiveness of using drone-based photogrammetry for preparing base geology maps for the exploration of vein-type mineralization in far districts with rough topography.

Research of Experiment Teaching Contents Reconstruction of Remote Sensing Technology Course

2012 ◽  
Vol 518-523 ◽  
pp. 5817-5821
Author(s):  
Wu Jun Xi ◽  
Yan Mei Peng ◽  
Yun Yuan Yang ◽  
Ren Zhi Luo ◽  
Yan Lin
Keyword(s):  
Remote Sensing ◽  
Learning Effect ◽  
Remote Sensing Image ◽  
Rural Planning ◽  
Professional Skill ◽  
Visual Interpretation ◽  
Remote Sensing Technology ◽  
Computer Interpretation ◽  
Sensing Technology ◽  
Technology Course

According to experiment teaching contents system of remote sensing technology course, the advantage and disadvantage of existing remote sensing experiment textbooks, students' feedback on study and aim of resources environment and the management of urban and rural planning specialty, the paper reconstructed a new experiment teaching contents of remote sensing technology course. The new contents included remote sensing image visual interpretation and mapping, remote sensing image computer interpretation and mapping. The number of experiment was seven, class hours were eighteen. The main feature was good pertinence and applicability, the course used recent remote sensing image in the region continuously in the most experiments, it could make the scattered experiment contents become coherent, then enhance students' professional skill and improve learning effect.

scholarly journals Can Satellite Remote Sensing be Applied in Geological Mapping in Tropics?

2018 ◽  
Vol 35 ◽  
pp. 02004 ◽  
Author(s):  
Janusz Magiera
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Spatial Resolution ◽  
Spectral Response ◽  
Geological Mapping ◽  
Good Precision ◽  
Spectral Bands ◽  
Digital Elevation ◽  
Elevation Model ◽  
New Generation

Remote sensing (RS) techniques are based on spectral data registered by RS scanners as energy reflected from the Earth’s surface or emitted by it. In “geological” RS the reflectance (or emittence) should come from rock or sediment. The problem in tropical and subtropical areas is a dense vegetation. Spectral response from the rocks and sediments is gathered only from the gaps among the trees and shrubs. Images of high resolution are appreciated here, therefore. New generation of satellites and scanners (Digital Globe WV2, WV3 and WV4) yield imagery of spatial resolution of 2 m and up to 16 spectral bands (WV3). Images acquired by Landsat (TM, ETM+, OLI) and Sentinel 2 have good spectral resolution too (6–12 bands in visible and infrared) and, despite lower spatial resolution (10–60 m of pixel size) are useful in extracting lithological information too. Lithological RS map may reveal good precision (down to a single rock or outcrop of a meter size). Supplemented with the analysis of Digital Elevation Model and high resolution ortophotomaps (Google Maps, Bing etc.) allows for quick and cheap mapping of unsurveyed areas.

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