Tools for Water Resources Monitoring, Water Erosion and Geomorphological Research

Dear Colleagues,

Geomorphology in general, and soil erosion by water in particular, have experienced a great development in tools, methods and techniques in the past decade. The result has been a democratization in the availability of accurate and high-resolution spatial data that can be used to monitor, model and quantify geomorphological processes and water resources. Developments in photogrammetry have allowed the production of point clouds, orthophotos and DEMs of surface and submerged topography with consumer-grade cameras. Light, low-cost and accurate GNSS devices have provided the support for georeferencing these datasets and also for direct RTK referencing of UAV platforms. Laser technology (aerial and terrestrial) has also contributed to the production of high-density point clouds of geomorphological features. Many of these sensors, platforms and techniques have been integrated in systems for continuous and/or real-time monitoring that produce valuable information about the role of individual events.

Finally, the availability of big data datasets together with remote sensing technologies and the generalization of data mining, machine learning and model ensembling techniques have provided the tools for a better understanding of geomorphological processes and resources availability.

All these developments have been adopted as tools for the study and monitoring of water resources and geomorphological processes-features (sheet erosion, gullies, landslides, etc.) or to perform restoration activities in degraded areas. As these tools provide the frame for a better assessment of water resources, understanding of the processes (magnitude–frequency relationships) and the underlying factors, the present Special Issue covers works on the application of these techniques, methodological developments for the study of water resources, water erosion and geomorphological processes in general. Outstanding study cases but also review papers on specific topics on the subject are welcome.

Dr. Álvaro Gómez-Gutierrez
Dr. J. Francisco Lavado Contador
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

• Soil erosion
• Water resources
• Photogrammetry
• UAV
• LIDAR
• TLS
• 4D monitoring
• Data mining
• Machine learning
• Big data