Skip to main content
Top

2022 | OriginalPaper | Chapter

12. Real-Time Monitoring System Based on Wireless Sensor Networks and Remote Sensing Techniques for Landslide-Prone Areas in the Northern Region of Thailand

Authors : Jessada Karnjana, Suthum Keerativittayanun, Kittikom Sangrit, Pitisit Dillon, Asadang Tanatipuknon, Pakinee Aimmanee, Ken T. Murata

Published in: Civil Engineering for Disaster Risk Reduction

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Many areas in the northern region of Thailand are mountainous and subject to landslides. A landslide causes local damage to a particular area; in addition, it induces nearby prone areas trans-regionally. Therefore, monitoring landslide-prone areas can help in risk assesment and management to efficiently handle a situation. This paper reports collaborative research activities and results of projects endorsed by ASEAN COSTI and e-Asia JRP. It aims to investigate potential landslides’ environmental parameters and conditions using real-time monitoring based on wireless sensors networks (WSN) and remote sensing techniques. The WSN, equipped with a camera, is designed based on low-power technologies (i.e., ZigBee and LoRa), and the performance is evaluated and compared in terms of communication packet losses. Also, remote sensing techniques are used to detect changes in satellite imagery and 3D point clouds. For example, k-means clustering and structural patch decomposition are applied to generate a binary map that locates change between two satellite images of different times. A deep-learning approach based on CNN is used to identify locations of landslides. The density-based spatial clustering and a clutter-removal method are used to detect rockfall events from two 3D point clouds.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
Research partners include the Department of Disaster Prevention and Mitigation (DDPM) of the Ministry of Interior, the Department of Mineral Resources (DMR) of the Ministry of Natural Ressource and Environment, Sirindhorn International Institue of Technology (SIIT), Thammasat University, Mahidol University, Chiang Mai University, Asain Institute of Technology, and Kasetsart University, Thailand, Technology Computer and Electronic Institute, the National University of Laos, Lao PDR, Philippines Insitute of Volcanology and Seismology (PHIVOLCS), Philippines, National Institute of Information and Communications Technology (NICT), Gunma University, and Teikyo Heisei University, Japan, Thuyloi University, and Transport and Communication University of Vietnam, Vietnam.
 
Literature
1.
go back to reference Abellán A, Calvet J, Vilaplana JM, Blanchard J (2010) Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring. Geomorphology 119(3–4):162–171CrossRef Abellán A, Calvet J, Vilaplana JM, Blanchard J (2010) Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring. Geomorphology 119(3–4):162–171CrossRef
2.
go back to reference Amit SNKB, Aoki Y (2017) Disaster detection from aerial imagery with convolutional neural network. In: 2017 international electronics symposium on knowledge creation and intelligent computing (IES-KCIC), pp 239–245. IEEE Amit SNKB, Aoki Y (2017) Disaster detection from aerial imagery with convolutional neural network. In: 2017 international electronics symposium on knowledge creation and intelligent computing (IES-KCIC), pp 239–245. IEEE
3.
go back to reference Ballesteros-Cánovas JA, Márquez-Peñaranda J, Sánchez-Silva M, Díez-Herrero A, Ruiz-Villanueva V, Bodoque J, Eguibar M, Stoffel M (2015) Can tree tilting be used for paleoflood discharge estimations? J Hydrol 529:480–489CrossRef Ballesteros-Cánovas JA, Márquez-Peñaranda J, Sánchez-Silva M, Díez-Herrero A, Ruiz-Villanueva V, Bodoque J, Eguibar M, Stoffel M (2015) Can tree tilting be used for paleoflood discharge estimations? J Hydrol 529:480–489CrossRef
4.
go back to reference Bates RL, Jackson JA (1987) Glossary of geology Bates RL, Jackson JA (1987) Glossary of geology
5.
go back to reference Bitelli G, Dubbini M, Zanutta A (2004) Terrestrial laser scanning and digital photogrammetry techniques to monitor landslide bodies. Int Arch Photogr Rem Sens Spat Inf Sci 35(B5):246–251 Bitelli G, Dubbini M, Zanutta A (2004) Terrestrial laser scanning and digital photogrammetry techniques to monitor landslide bodies. Int Arch Photogr Rem Sens Spat Inf Sci 35(B5):246–251
6.
go back to reference Byers S, Raftery AE (1998) Nearest-neighbor clutter removal for estimating features in spatial point processes. J Am Stat Assoc 93(442):577–584CrossRefMATH Byers S, Raftery AE (1998) Nearest-neighbor clutter removal for estimating features in spatial point processes. J Am Stat Assoc 93(442):577–584CrossRefMATH
7.
go back to reference Celik T (2009) Unsupervised change detection in satellite images using principal component analysis and \( k \)-means clustering. IEEE Geosci Rem Sens Lett 6(4):772–776CrossRef Celik T (2009) Unsupervised change detection in satellite images using principal component analysis and \( k \)-means clustering. IEEE Geosci Rem Sens Lett 6(4):772–776CrossRef
9.
go back to reference Darong H, Peng W (2012) Grid-based dbscan algorithm with referential parameters. Phys Procedia 24:1166–1170CrossRef Darong H, Peng W (2012) Grid-based dbscan algorithm with referential parameters. Phys Procedia 24:1166–1170CrossRef
10.
go back to reference Dillon P, Karnjana J, Aimmanee P (2020) Rockfall detection from terrestrial lidar point clouds by using dbscan with clutterremoval based on grid density. Technical report, EasyChair Dillon P, Karnjana J, Aimmanee P (2020) Rockfall detection from terrestrial lidar point clouds by using dbscan with clutterremoval based on grid density. Technical report, EasyChair
11.
go back to reference Ester M, Kriegel HP, Sander J, Xu X et al (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. Kdd 96:226–231 Ester M, Kriegel HP, Sander J, Xu X et al (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. Kdd 96:226–231
12.
go back to reference Intrieri E, Gigli G, Mugnai F, Fanti R, Casagli N (2012) Design and implementation of a landslide early warning system. Eng Geol 147:124–136CrossRef Intrieri E, Gigli G, Mugnai F, Fanti R, Casagli N (2012) Design and implementation of a landslide early warning system. Eng Geol 147:124–136CrossRef
13.
go back to reference Jaya V, Gopikakumari R (2013) IEM: a new image enhancement metric for contrast and sharpness measurements. Int J Comput Appl 79(9) Jaya V, Gopikakumari R (2013) IEM: a new image enhancement metric for contrast and sharpness measurements. Int J Comput Appl 79(9)
14.
go back to reference Ji S, Yu D, Shen C, Li W, Xu Q (2020) Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks. Landslides pp 1–16 Ji S, Yu D, Shen C, Li W, Xu Q (2020) Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks. Landslides pp 1–16
15.
go back to reference Karami A, Johansson R (2014) Choosing dbscan parameters automatically using differential evolution. Int J Comput Appl 91(7):1–11 Karami A, Johansson R (2014) Choosing dbscan parameters automatically using differential evolution. Int J Comput Appl 91(7):1–11
16.
go back to reference Keerativittayanun S, Sangrit K, Srisukanun P, Dillon P, Karnjana J (2019) Image enhancement technique based on human visual perception and multi-exposure fusion for a landslide-prone area monitoring system. In: 2019 58th annual conference of the Society of Instrument and Control Engineers of Japan (SICE), pp 382–387. IEEE Keerativittayanun S, Sangrit K, Srisukanun P, Dillon P, Karnjana J (2019) Image enhancement technique based on human visual perception and multi-exposure fusion for a landslide-prone area monitoring system. In: 2019 58th annual conference of the Society of Instrument and Control Engineers of Japan (SICE), pp 382–387. IEEE
17.
go back to reference Ma K, Li H, Yong H, Wang Z, Meng D, Zhang L (2017) Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Trans Image Process 26(5):2519–2532MathSciNetCrossRefMATH Ma K, Li H, Yong H, Wang Z, Meng D, Zhang L (2017) Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Trans Image Process 26(5):2519–2532MathSciNetCrossRefMATH
18.
go back to reference Micheletti N, Tonini M, Lane SN (2017) Geomorphological activity at a rock glacier front detected with a 3d density-based clustering algorithm. Geomorphology 278:287–297CrossRef Micheletti N, Tonini M, Lane SN (2017) Geomorphological activity at a rock glacier front detected with a 3d density-based clustering algorithm. Geomorphology 278:287–297CrossRef
19.
go back to reference Murata KT, Mizuhara T, Pavarangkoon P, Yamamoto K, Muranaga K, Aoki T (2018) Design and development of real-time video transmission system using visual iot device. In: International conference on multi-disciplinary trends in artificial intelligence, pp 263–269. Springer, Berlin Murata KT, Mizuhara T, Pavarangkoon P, Yamamoto K, Muranaga K, Aoki T (2018) Design and development of real-time video transmission system using visual iot device. In: International conference on multi-disciplinary trends in artificial intelligence, pp 263–269. Springer, Berlin
20.
go back to reference Niethammer U, James M, Rothmund S, Travelletti J, Joswig M (2012) Uav-based remote sensing of the super-sauze landslide: evaluation and results. Eng Geol 128:2–11CrossRef Niethammer U, James M, Rothmund S, Travelletti J, Joswig M (2012) Uav-based remote sensing of the super-sauze landslide: evaluation and results. Eng Geol 128:2–11CrossRef
21.
go back to reference Reisenhofer R, Bosse S, Kutyniok G, Wiegand T (2018) A haar wavelet-based perceptual similarity index for image quality assessment. Signal Process Image Commun 61:33–43CrossRef Reisenhofer R, Bosse S, Kutyniok G, Wiegand T (2018) A haar wavelet-based perceptual similarity index for image quality assessment. Signal Process Image Commun 61:33–43CrossRef
22.
go back to reference Rezatofighi H, Tsoi N, Gwak J, Sadeghian A, Reid I, Savarese S (2019) Generalized intersection over union: a metric and a loss for bounding box regression. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 658–666 Rezatofighi H, Tsoi N, Gwak J, Sadeghian A, Reid I, Savarese S (2019) Generalized intersection over union: a metric and a loss for bounding box regression. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 658–666
23.
go back to reference Tanatipuknon A, Aimmanee P, Keerativittayanun S, Karnjana J (2020) Unsupervised change detection in multi-temporal satellite images based on structural patch decomposition and k-means clustering for landslide monitoring. In: International symposium on integrated uncertainty in knowledge modelling and decision making, pp 259–269. Springer, Berlin Tanatipuknon A, Aimmanee P, Keerativittayanun S, Karnjana J (2020) Unsupervised change detection in multi-temporal satellite images based on structural patch decomposition and k-means clustering for landslide monitoring. In: International symposium on integrated uncertainty in knowledge modelling and decision making, pp 259–269. Springer, Berlin
24.
go back to reference Tonini M, Abellan A (2014) Rockfall detection from terrestrial lidar point clouds: a clustering approach using r. J Spat Inf Sci 2014(8):95–110 Tonini M, Abellan A (2014) Rockfall detection from terrestrial lidar point clouds: a clustering approach using r. J Spat Inf Sci 2014(8):95–110
25.
go back to reference Wang Z, Bovik AC (2002) A universal image quality index. IEEE Signal Process Lett 9(3):81–84CrossRef Wang Z, Bovik AC (2002) A universal image quality index. IEEE Signal Process Lett 9(3):81–84CrossRef
Metadata
Title
Real-Time Monitoring System Based on Wireless Sensor Networks and Remote Sensing Techniques for Landslide-Prone Areas in the Northern Region of Thailand
Authors
Jessada Karnjana
Suthum Keerativittayanun
Kittikom Sangrit
Pitisit Dillon
Asadang Tanatipuknon
Pakinee Aimmanee
Ken T. Murata
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-5312-4_12