Modern Technologies for Landslide Monitoring and Prediction

  • Marco Scaioni

Part of the Springer Natural Hazards book series (SPRINGERNAT)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Marco Scaioni
    Pages 1-9
  3. Ground-Based Monitoring Techniques

    1. Front Matter
      Pages 11-11
    2. Marco Scaioni, Tiantian Feng, Ping Lu, Gang Qiao, Xiaohua Tong, Ron Li et al.
      Pages 13-41
    3. Riccardo Roncella, Gianfranco Forlani
      Pages 43-67
    4. Paolo Mazzanti, Alessandro Brunetti, Alberto Bretschneider
      Pages 69-87
    5. Maurizio Barbarella, Margherita Fiani, Andrea Lugli
      Pages 89-121
    6. Francesco Pirotti, Alberto Guarnieri, Andrea Masiero, Carlo Gregoretti, Massimo Degetto, Antonio Vettore
      Pages 123-138
  4. Geophysical and Geotechnical Methods

    1. Front Matter
      Pages 139-139
    2. Diego Arosio, Laura Longoni, Monica Papini, Luigi Zanzi
      Pages 141-154
    3. Yang Hong, Xiaogang He, Amy Cerato, Ke Zhang, Zhen Hong, Zonghu Liao
      Pages 165-178
  5. Satellite Remote-Sensing Techniques

    1. Front Matter
      Pages 179-179
    2. Lu Zhang, Mingsheng Liao, Timo Balz, Xuguo Shi, Yanan Jiang
      Pages 181-208
    3. Chiara Del Ventisette, Giovanni Gigli, Veronica Tofani, Ping Lu, Nicola Casagli
      Pages 209-232
    4. Luigi Barazzetti, Marco Gianinetto, Marco Scaioni
      Pages 233-249

About this book


Modern Technologies for Landslide Investigation and Prediction presents eleven contributed chapters from Chinese and Italian authors, as a follow-up of a bilateral workshop held in Shanghai on September 2013. Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), geophysical (passive seismic sensor networks) and geotechnical methods (SPH and SLIDE), and satellite remote-sensing techniques (InSAR and optical images). Authors of these contributes are internationally-recognized experts in their respective research fields. 

Marco Scaioni works in the college of Surveying and Geo-Informatics at Tongji University, Shanghai (P.R. China). His research fields are mainly Close-range Photogrammetry, Terrestrial Laser Scanning, and other ground-based sensors for metrological and deformation monitoring applications to structural engineering and geosciences. In the period 2012-2016 he is chairman of the Working Group V/3 in the International Society for Photogrammetry and Remote Sensing, focusing on ‘Terrestrial 3D Imaging and Sensors’.


Geohazards InSAR Landslide Monitoring Landslide Prediction Remote Sensing for Landslides

Editors and affiliations

  • Marco Scaioni
    • 1
  1. 1.College of Surveying & Geo-Informatics, Department of Architecture, Built Environment and Construction Engineering,Tongji UniversityShanghai, Politecnico di Milano, ItalyChina

Bibliographic information