Special Issue "Mass Movement and Soil Erosion Monitoring Using Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (30 April 2019).
Interests: Remote sensing and image processing; GIS and complex modelling; soft computing techniques in natural hazards; environmental and natural resources applications
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Remote Sensing of Earth Observation: Special Focus on Natural Resources and the Environment
Special Issue in Water: Flood Modelling: Regional Flood Estimation and GIS Based Techniques
Special Issue in Remote Sensing: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Special Issue in Remote Sensing: Urban/Coastal Vegetation Change and Their Impacts on Metropolitan Territories
Special Issue in Remote Sensing: Remote Sensing for Climate Change Studies
Special Issue in Remote Sensing: Traffic Assessment and Monitoring with Remote Sensing and Geospatial Modelling
Special Issue in Remote Sensing: Applying Remote Sensing, Geospatial Information Systems, and Machine Learning Algorithms to Manage Groundwater Resources
Special Issue in Remote Sensing: Synergy of Remote Sensing and Deep Learning for Mineral Resources and Environment
Special Issue in Drones: Unmanned Aerial System in Geomatics
Special Issue in Sensors: UAV Imagery and Its Applications Using Artificial Intelligence Techniques and Explainability-Based Models
Interests: geomatics; GIS; GEOBIA; Earth Observation; urban green; bush-fire; environmental modelling; change detection; spatial statistics; machine learning
Special Issues and Collections in MDPI journals
Mass movements (e.g., cliff collapses, soil creeps, mudflows, landslides, etc.) and soil erosion (e.g., coastal erosion, etc.) are severe forms of natural disasters that occur in mountainous terrain as well as in coastal areas and are subject to specific geological, geomorphological and climatological conditions, as well as human activities. It is a challenging task to accurately define the position, type, and activity of mass movements for the purpose of creating inventory records and continuous monitoring. High and moderate resolution remote sensing data, such as Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine, etc., with the aid of Geographic Information System tools, offer state-of-the-art investigations in identifying mass movements and soil erosion and modeling surface processes for hazard monitoring. Advanced state-of-the-art image processing techniques, using pixel-based and object based image analysis (OBIA) based on data mining, machine learning, deep-learning and ensemble models, can be used to identify and monitor these mass movements and soil erosion features. Issues of scale (spatial and spectral) and selection of morphological attributes for scientific analysis of mass movements require new developments in image processing and spatial/temporal GIS analysis.
The topics of interest include, but not limited to:
- Mass movement detection and monitoring
- Soil erosion monitoring
- Multi-temporal high resolution satellite images
- Laser scanning technologies for feature identification
- High resolution aerial photographs
- Deep-leaning in image classification
- New machine learning techniques in mass movement detection
- New pixel based image analysis
- New object based image analysis
Prof. Biswajeet Pradhan
Dr. Jagannath Aryal
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.