Journal of Sensors

Advanced Sensor Technologies in Geospatial Sciences and Engineering


Publishing date
01 Jul 2019
Status
Published
Submission deadline
08 Mar 2019

Lead Editor

1University of Seoul, Seoul, Republic of Korea

2Hong Kong Polytechnic University, Hung Hom, Hong Kong

3Pusan National University, Busan, Republic of Korea


Advanced Sensor Technologies in Geospatial Sciences and Engineering

Description

Sensor technologies have been developing rapidly in the field of geospatial sciences and engineering. For example, as satellites and unmanned aerial vehicles (UAV) have been widely used for commercial uses, geospatial sensor technologies are getting more accurate and qualified, and as high-qualified geospatial data have been acquired from advanced sensors, application fields using the geospatial data are getting much wider as well. Therefore, advanced sensor technologies have become more essential to contribute to the geographic mapping and understand the geological, ecological, hydrological, and environmental characteristics of Earth surfaces. This special issue particularly aims to provide insight into the development and application of state-of-the-art sensor technologies in geospatial sciences and engineering as well as offer theoretical perspectives and practical solutions of advanced and emerging geospatial sensor technologies. Geospatial sciences and engineering include topics such as geospatial information sciences (GIS), remote sensing (RS), digital photogrammetry (DP), global positioning system (GPS), and Internet mapping technologies. Original research articles and literature review papers addressing the development and applications of advanced geospatial sensor technologies are welcome. The objective of this special issue is to create a multidisciplinary forum of discussion on advanced sensor technologies in geospatial sciences and engineering as well as new ways of applying geospatial sensor technologies to geology, ecology, hydrology, environmentology, and other similar areas.

Potential topics include but are not limited to the following:

  • Sensors in geographical mapping
  • Advanced sensor design and platforms in geospatial sciences and engineering
  • Geospatial multisensor system design and integration
  • Advanced onboard processing in geospatial sciences and engineering
  • Advances in sensors for remote sensing
  • Multiplatform remote sensing in geospatial applications
  • Geospatial data models with advanced sensors
  • Spatial big data analysis in advanced sensor technologies
  • Position and localization systems, algorithm, and techniques
  • Application and innovative use of geospatial sensor techniques
  • Real-time emergency spatial decision support sensor systems
  • Sensor technique in UAV (unmanned aerial vehicles) applications
  • Hyperspectral sensors in geospatial applications
  • Laser scanning sensors in geospatial applications
  • Image processing algorithms and systems in geographical mapping
  • Geospatial information extraction and data mining
  • Spatiotemporal analysis in geospatial data

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 1698432
  • - Research Article

Monitoring the Thaw Slump-Derived Thermokarst in the Qinghai-Tibet Plateau Using Satellite SAR Interferometry

Bo Hu | Yang Wu | ... | Zhiwei Chen
  • Special Issue
  • - Volume 2019
  • - Article ID 3737265
  • - Research Article

Deep Learning-Based GNSS Network-Based Real-Time Kinematic Improvement for Autonomous Ground Vehicle Navigation

Hee-Un Kim | Tae-Suk Bae
  • Special Issue
  • - Volume 2019
  • - Article ID 9389820
  • - Research Article

Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017

Bo Hu | Xiongle Chen | Xingfu Zhang
  • Special Issue
  • - Volume 2019
  • - Article ID 3681031
  • - Research Article

A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm

Muhammad E. H. Chowdhury | Amith Khandakar | ... | Rayaan Abouhasera
  • Special Issue
  • - Volume 2019
  • - Article ID 6573513
  • - Research Article

Neural Network with Confidence Kernel for Robust Vibration Frequency Prediction

Jiantao Liu | Xiaoxiang Yang | Mingzhu Zhu
  • Special Issue
  • - Volume 2018
  • - Article ID 3428303
  • - Research Article

Precipitable Water Vapor Retrieval and Analysis by Multiple Data Sources: Ground-Based GNSS, Radio Occultation, Radiosonde, Microwave Satellite, and NWP Reanalysis Data

Qin Zhang | Junhua Ye | ... | Fei Han
Journal of Sensors
 Journal metrics
See full report
Acceptance rate12%
Submission to final decision129 days
Acceptance to publication27 days
CiteScore2.600
Journal Citation Indicator0.440
Impact Factor1.9
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