A Study of Types of Sensors used in Remote Sensing
Abstract
Of late, the science of Remote Sensing has been gaining a lot of interest and attention due to its wide variety of applications. Remotely sensed data can be used in various fields such as medicine, agriculture, engineering, weather forecasting, military tactics, disaster management etc. only to name a few. This article presents a study of the two categories of sensors namely optical and microwave which are used for remotely sensing the occurrence of disasters such as earthquakes, floods, landslides, avalanches, tropical cyclones and suspicious movements. The remotely sensed data acquired either through satellites or through ground based- synthetic aperture radar systems could be used to avert or mitigate a disaster or to perform a post-disaster analysis.References
REFERENCES
Y. Wentao, Q. Wenwen, Z. Jinxing (2018), “Decreased post-seismic landslides linked to vegetation recovery after the 2008 Wenchuan earthquake”, Elsevier Journal on Ecological Indicators, Vol 89, pp 438-444.
A. Roberta, N. Fabrizio, S. Tanya, B. Christian, S. Salvatore, C. Marco, P. Nazarreno. (2018), “ Earthquake damage mapping: An overall assessment of good surveys and VHR image change detection after L’Aquila 2009 earthquake”, Elsevier Journal on Remote Sensing of Environment, Vol. 210, pp. 166-178.
S. Tazio, K. Jan, F. Holger, C. Rafael, H. Christian, W. Urs, C. R. Alejo (2018), “Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru”, Elsevier Journal on Remote Sensing of Environment, Vol. 217, pp. 111-125.
D. B. William, L. Y. William, E. M. Daniel (2018), “Induced Earthquake and Liquefaction hazards in Oklahoma, USA: Constraints from InSAR”, Elsevier Journal on Remote Sensing of Environment, Vol. 218, pp. 1-12.
S. Giancarlo, V. Cristian, C. Chantel, B. Simone, G. Paolo (2018), “CubeSat constellations for Disaster Management in Remote Areas”, Acta Astronautica, Vol. 145, pp 11-17.
G. Christian, J. Marianne, L. Tobia, T. Hannes (2016), “Estimation of Seismic Vulnerability Levels of Urban Structures with Multi sensor Remote Sensing”, IEEE Journal of Selected Topics In Applied Earth Observations And Remote Sensing, Vol. 9., No. 5.
G. Y. Kanchikayan, B. T. Zhumbayev, A. V. Streltsov (2016), “Modification of the Ionosphere by Precursors of Strong Earthquakes”, The Radio Science Bulletin, Vol. 357.
S. Klonus, D. Tomowski, M. Ehlers, P. Reinartz, U. Michel (2012), “Combined Edge Segment Texture Analysis for the Detection of Damaged Buildings in Crisis Areas”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 4.
G. Andre, L. Chiroiu, C. Mering, F. Chopin (2003), “Building destruction and damage assessment after earthquake using high resolution optical sensors. The case of the Gujarat earthquake of January 26, 2001”, IEEE.
M. Hosokawa, B. Jeong, O. Takizawa (2009), “Earthquake Intensity Estimation and Damage Detection using Remote Sensing Data for Global Rescue Operations”, 978-1-4244-3395-7/09/$25.00 ©2009 IEEE.
S. Stramondo (2013), “The Tohoku–Oki Earthquake: A Summary of Scientific Outcomes from Remote Sensing”, IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 4.
S. J. H. Kazmi (2006), “On the Use of Remote Sensing and GIS Techniques in Post Earthquake Damage Identification and Assessment in Pakistan”, presented at an Interdisciplinary International Workshop on Earthquake Risk Management, held in Zurich, Switzerland.
X. Tong, Z. Hong, S. Liu, X. Zhang, H. Xie, Z. Li, S. Yang, W. Wang, F. Bao (2012), “Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake”, ISPRS Journal of Photogrammetry and Remote Sensing.
W. Liu, F. Yamazaki (2013), “Detection of Crustal Movement From TerraSAR-X Intensity Images for the 2011 Tohoku, Japan Earthquake”, IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 1.
X. Tong, X. Lin, T. Feng, H. Xie, S. Liu, Z. Hong, P. Chen (2013), “Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery”, ISPRS Journal of Photogrammetry and Remote Sensing.
T. Kobayashi, Y. Morishita, H. Munekane (2018), “First detection of precursory ground inflation of a small phreatic eruption by InSAR”, Elsevier Journal of Earth and Planetary Science Letters, Vol 491, pp 244-254.
Roberta Bonni, Massimiliano Bordoni, Alessio Colombo, Luca Lanteri, Claudia Meisina (2018), “Landslide state of Activity Maps by combining multi temporal A-DInSAR data (LAMBDA)”, Elsevier Journal of Remote Sensing of Environment, Vol. 217, pp 172-190.
Noelie Bontemps, Pascal Lacroix, Marrie-Pierre Doin (2018), “Inversion of deformation fields time series from optical images and application to the long term kinematics of slow-moving landslides in Peru”, Journal of Remote Sensing of Environment, Vol. 210, pp. 144-158.
Pascal Lacroix, Gregory Breviere, Erwan Pathier, Ulrick Kniess, Denis Jongmans (2018), “Use of Sentinel-2 images for the detection of precursory motions before landslide failures”, Journal of Remote Sensing of Environment, Vol. 215, pp. 507-516.
Zheng Wang, Zhenog Li, Jon Mills, (2018) “A new approach to selecting coherent pixels for ground-based SAR deformation monitoring”, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 144, pp. 412-422.
Xi Chen, Jing Li, Yunfei Zhang, Weiguo Jiang, Liangliang Tao, Wei Shen (2017), “Evidential Fusion Based Technique for Detecting Landslide Barrier Lakes From Cloud-Covered Remote Sensing Images”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 5.
Ning Cao , Hyongki Lee , Evan Zaugg, Ramesh Shrestha, William Carter, Craig Glennie , Guoquan Wang, Zhong Lu, Juan Carlos Fernandez-Diaz (2017), “Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 11.
Pakhrur Razi, Josaphat Tetuko Sri Sumantyo, Daniele Perissin, Hiroaki Kuze, Ming Yam Chua, Good Fried Panggabean (2018), “ 3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV”, IEEE Access, Vol. 6, pp. 12395-12404.
D. Tarchi, D. Leva, N. Casagli, R. Fanti, G. Luzi, M. Pieraccini, A. Pasuto, and S. Silvano (2003), “Landslide monitoring by using ground-based SAR interferometry. An example of application to the Tessina landslide in Italy,” Engineering Geology, vol. 68, no. 1/2, pp. 15–30.
M. Crosetto, G. Luzi, O. Monserrat, M. Cuevas (2011), “Ground-based synthetic aperture radar deformation monitoring: Introduction”, GeoMonitoring.
M. Sato, Z. Zhou, T. Hamasaki, W. Boerner (2012), “Development of a Ground-based Synthetic Aperture Radar (GB-SAR) system and its applications in Environment Monitoring and Disaster Prevention”, Center for Northeast Asian Studies, Tohoku University.
E. Yigit et. al. (2012), “Millimeter-wave Ground-based Synthetic Aperture Radar Imaging for Foreign Object Debris Detection: Experimental Studies at Short Ranges”, Springer Science + Business Media New York.
A. Ovando, J.M. Martinez, J. Tomasella, D.A. Rodriguez, C. von Randow (2018), “Multi-temporal flood mapping and satellite altimetry used to evaluate the flood dynamics of the Bolivian Amazon wetlands”, International Journal of Applied Earth Observation Geoinformation, Vol. 69, pp- 27-40.
Kai Schreoter, Stefan Lüdtke, Richard Redweik, Jessica Meier, Mathias Bochow, Lutz Ross, Claus Nagel, Heidi Kreibich (2018), “Flood loss estimation using 3D city models and remote sensing data”, Journal of Environmental Modelling & Software, Vol. 105, pp-118-131.
Lorenzo Alfieri, Sagy Cohen, John Galantowicz, Guy J-P. Schumann, Mark A. Trigg, Ervin Zsoter, Christel Prudhomme, Andrew Kruczkiewicz, Erin Coughlan de Perez, Zachary Flamig, Roberto Rudari, Huan Wu, Robert F. Adler, Robert G. Brakenridge, Albert Kettner, Albrecht Weerts, Patrick Matgen, Saiful A.K.M Islam, Tom de Groeve, Peter Salamon (2018), “A global network for operational flood risk reduction”, Journal of Environmental Science and Policy, Vol. 84, pp-149-158.
A.B. Hart, G.J. Hearn (2018), “Mapping geohazards in the watersheds above Leh, Ladakh: The use of publicly-available remote sensing to assist risk management”, International Journal of Disaster Risk Reduction, Vol. 31, pp. 789-798.
Moslem Ouled Sghaier, Samuel Foucher, and Richard Lepage (2017), “River Extraction From High-Resolution SAR Images Combining a Structural Feature Set and Mathematical Morphology”, IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 3.
Guoqiang Tang, Ziyue Zeng, Meihong Ma, Ronghua Liu, Yixin Wen, and Yang Hong (2017), “Can Near-Real-Time Satellite Precipitation Products Capture Rainstorms and Guide Flood Warning for the 2016 Summer in South China?”, IEEE Geoscience and Remote Sensing letters, Vol. 14, No. 8.
François Mercier, Nawal Akrour, Laurent Barthès, Cécile Mallet, Ruben Hallali (2017), “Fine-Scale Evaluation of Rainfall from TV-Sats: A New Method for Water Monitoring and Flash Flood Prevention”, The Radio Science Bulletin.
Keiller Nogueira , Samuel G. Fadel , Ícaro C. Dourado, Rafael de O. Werneck , Javier A. V. Muñoz, Otávio A. B. Penatti , Rodrigo T. Calumby , Lin Tzy Li , Jefersson A. dos Santos , and Ricardo da S. Torres (2018), “Exploiting ConvNet Diversity for Flooding Identification”, IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 9.
D. C. Mason, I. J. Davenport, J. C. Neal, G. J.-P. Schumann, and P. D. Bates (2012), “Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 8.
R. Cossu, P. Bally, O. Colin, G. Trianni (2008), “Rapid mapping of flood events through the use of FAIRE (Fast Access to Imagery for Rapid Exploitation)”, Geophysical Research Abstracts, Vol. 10.
Muhammad Al-Amin Hoque, Stuart Phinn, Chris Roelfsema, Iraphne Childs (2018), “Assessing tropical cyclone risks using geospatial techniques”, Journal of Applied Geography, Vol. 98. pp- 22-33.
Xingru Feng, Mingjie Li, Baoshu Yin, Dezhou Yang, Hongwei Yang (2018), “Study of storm surge trends in typhoon-prone coastal areas based on observations and surge-wave coupled simulations”, International Journal of Applied Earth Observation Geoinformation, Vol. 68, pp- 272-278.
Yanling Du , Wei Song , Qi He , Dongmei Huang , Antonio Liotta , Chen Su (2018),” Deep Learning with Multi-scale Feature Fusion in Remote Sensing for Automatic Oceanic Eddy Detection”, Journal of Information Fusion, Accepted manuscript.
Bikash R. Paridaa,⁎, Sailesh N. Beherab, Bakimchandra Oinamc, N.R. Pateld, R.N. Sahooe (2018), “Investigating the effects of episodic Super-cyclone 1999 and Phailin 2013 on hydro-meteorological parameters and agriculture: An application of remote sensing”, Journal of Remote Sensing Applications: Society and Environment, Vol. 10, pp. 128-137.
Anoop Kumar Mishra (2018), “Remote sensing of convective clouds using multi-spectral observations and examining their variability over India”, Journal of Remote Sensing Applications: Society and Environment, Vol. 12, pp. 23-29.
Shaohui Jin, ShuangWang, Xiaofeng Li, Senior Member, IEEE, Licheng Jiao, Senior Member, IEEE, Jun A. Zhang, Senior Member, IEEE, and Dongliang Shen, Student Member, IEEE (2017), “A Salient Region Detection and Pattern Matching-Based Algorithm for Center Detection of a Partially Covered Tropical Cyclone in a SAR Image”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 1.
Yuan Ma, Xiaolei Zou, Member, IEEE, and Fuzhong Weng (2017), “Potential Applications of Small Satellite Microwave Observations for Monitoring and Predicting Global Fast-Evolving Weathers”, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 10, No. 6.
Tangao Hu , Xiao Wang, Dengrong Zhang, Gang Zheng , Yuzhou Zhang, Yiyue Wu, and Bin Xie (2017), “Study on Typhoon Center Monitoring Based on HY-2 and FY-2 Data”, IEEE Geoscience and Remote Sensing Letters, Vol. 14, No.12.
A. Wada, N. Usui, K. Sato (2012), “Relationship of maximum tropical cyclone intensity to sea surface temperature and tropical cyclone heat potential in the North Pacific Ocean”, Journal of Geophysical Research, Vol. 117.
B. B. Barnes, C. Hu (2013), “A Hybrid Cloud Detection Algorithm to Improve MODIS Sea Surface Temperature Data Quality and Coverage Over the Eastern Gulf of Mexico”, IEEE Transactions on Geoscience and Remote Sensing, Vol 51, No. 6.
D. Das A. Maitra (2012), “Time series prediction of rain rate during rain events at a tropical location”, Published in IET Microwaves, Antennas & Propagation.
M. M. Ali, D. Swain, T. Kashyap, J. P. McCreary, P. V. Nagamani (2013), “Relationship Between Cyclone Intensities and Sea Surface Temperature in the Tropical Indian Ocean”, IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 4.
N. Jaiswal, C. M. Kishtawal (2013), “Objective Detection of Center of Tropical Cyclone in Remotely Sensed Infrared Images”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6
, No. 2.
R. Romeiser, J. Horstmann, M. J. Caruso, H. C. Graber (2013), “A Descalloping Postprocessor for ScanSAR Images of Ocean Scenes”, IEEE Transactions on Geoscience and Remote Sensing, Vol 51, No. 6.
Changzhan Gu, Zhengyu Peng, Changzhi Li (2016), “High-Precision Motion Detection Using Low-Complexity Doppler Radar With Digital Post-Distortion Technique”, IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No. 3.
Jianxuan Tu, Taesong Hwang, Jenshan Lin (2016), “Respiration Rate Measurement Under 1-D Body Motion Using Single Continuous-Wave Doppler Radar Vital Sign Detection System”, IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No. 6.
Yong Wang, Yuanjin Zheng (2017), “An FMCW Radar Transceiver Chip for Object Positioning and Human Limb Motion Detection”, IEEE Sensors Journal, Vol. 17, No. 2.
Chuanwei Ding, Li Zhang, Chen Gu, Lei Bai, Zhicheng Liao, Hong Hong , Yusheng Li, Xiaohua Zhu (2018), “Non-Contact Human Motion Recognition Based on UWB Radar”, IEEE Journal on Emerging Trends and Selected Topics in Circuits and Systems, Vol. 8, No. 2.
Robert H. Nakata, Brian Haruna, Takashi Yamaguchi, Victor M. Lubecke, Shigeru Takayama, Kiyotsugu Takaba (2018), “Motion Compensation for an Unmanned Aerial Vehicle Remote Radar Life Sensor”, IEEE Journal on Emerging Trends and Selected Topics in Circuits and Systems, Vol. 8, No. 2.
A. Marino, S. R. Cloude, J. M. Lopez-Sanchez (2013), “A New Polarimetric Change Detector in Radar Imagery”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 5.
M. Vahidpour, K. Sarabandi (2012), “Millimeter-Wave Doppler Spectrum and Polarimetric Response of Walking Bodies”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 7.
P. Chen, M. C. Shastry, C. Lai, R. M. Narayanan (2012), “A Portable Real-Time Digital Noise Radar System for Through-the-Wall Imaging”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 10.
P. F. Sammartino, C. J. Baker, and M. Rangaswamy (2008), “Moving target localization with multistatic radar systems,” in Proceedings of IEEE Radarcon, May 26–30.
Y. Liu, Y. Deng (2012), “CARMSAR-a Compact and Reconfigurable Miniature SAR system for High Resolution Remote Sensing”.
Y. Xu, S. Wu, C. Chen, J. Chen, and G. Fang (2012), “A Novel Method for Automatic Detection of Trapped Victims by Ultra-wideband Radar”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 8.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 International Journal of Electronics and Telecommunications
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.
2. Author’s Warranties
The author warrants that the article is original, written by stated author/s, has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author/s. The undersigned also warrants that the manuscript (or its essential substance) has not been published other than as an abstract or doctorate thesis and has not been submitted for consideration elsewhere, for print, electronic or digital publication.
3. User Rights
Under the Creative Commons Attribution license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions: 1. they must attribute the contribution in the manner specified by the author or licensor, 2. they may alter, transform, or build upon this work, 3. they may use this contribution for commercial purposes.
4. Rights of Authors
Authors retain the following rights:
- copyright, and other proprietary rights relating to the article, such as patent rights,
- the right to use the substance of the article in own future works, including lectures and books,
- the right to reproduce the article for own purposes, provided the copies are not offered for sale,
- the right to self-archive the article
- the right to supervision over the integrity of the content of the work and its fair use.
5. Co-Authorship
If the article was prepared jointly with other authors, the signatory of this form warrants that he/she has been authorized by all co-authors to sign this agreement on their behalf, and agrees to inform his/her co-authors of the terms of this agreement.
6. Termination
This agreement can be terminated by the author or the Journal Owner upon two months’ notice where the other party has materially breached this agreement and failed to remedy such breach within a month of being given the terminating party’s notice requesting such breach to be remedied. No breach or violation of this agreement will cause this agreement or any license granted in it to terminate automatically or affect the definition of the Journal Owner. The author and the Journal Owner may agree to terminate this agreement at any time. This agreement or any license granted in it cannot be terminated otherwise than in accordance with this section 6. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
7. Royalties
This agreement entitles the author to no royalties or other fees. To such extent as legally permissible, the author waives his or her right to collect royalties relative to the article in respect of any use of the article by the Journal Owner or its sublicensee.
8. Miscellaneous
The Journal Owner will publish the article (or have it published) in the Journal if the article’s editorial process is successfully completed and the Journal Owner or its sublicensee has become obligated to have the article published. Where such obligation depends on the payment of a fee, it shall not be deemed to exist until such time as that fee is paid. The Journal Owner may conform the article to a style of punctuation, spelling, capitalization and usage that it deems appropriate. The Journal Owner will be allowed to sublicense the rights that are licensed to it under this agreement. This agreement will be governed by the laws of Poland.
By signing this License, Author(s) warrant(s) that they have the full power to enter into this agreement. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
