KMapper
A Field Geological Survey System
Bibliographic Data
| ID | 22034056 |
|---|---|
| Authors | Young-Kwang Yeon (Korea Institute of Geoscience and Mineral Resources, corresponding author) |
| Year | 2021 |
| Volume | 10 |
| Issue | 6 |
| Pages | 405 |
| Publication date | 2021-06-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10060405 |
| OpenAlex | W3166575736 |
| Language | EN |
| Citations received | 3 |
| References cited | 18 |
The computing power of smart mobile devices has evolved as much as the power of desktop personal computers (PCs). Accordingly, a field geological survey system capable of utilizing the performance of smart devices is needed. Thus, the objective of this paper is to introduce a system with functions to take advantage of the performance of smart devices while meeting the various requirements of a geological survey. The system integrates geographic information system functions and smart sensors to execute field geological surveys effectively and can express various collections on a map. It also includes a map editing function that allows users to edit geological boundaries and areas on a map from the touch-based interface of a smart device. The records collected can be exported for editing of the geological map on a desktop PC. The developed app can replace traditional recording media used in field geological surveying and exploration work. It can be used to acquire location-referenced measurements with smart sensors, making field work more effective
Cartography · Geography · Geologic map · Geological survey · Human–computer interaction · Mobile device · Operating system · World Wide Web · Computer Science · Context-Aware Activity Recognition Systems · Engineering · Mobile and Web Applications · Mobile Crowdsensing and Crowdsourcing · Geology · Geophysics
Integrating Post-Processing Kinematic (PPK)–Structure-from-Motion (SfM) with Unmanned Aerial Vehicle (UAV) Photogrammetry and Digital Field Mapping for Structural Geological Analysis
Geospatial Information Technologies for Mobile Collaborative Geological Mapping
Digital competence in geoscience fieldwork
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |