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Progress on the Use of UAS Techniques for Environmental Monitoring

Special Issue Information

Dear Colleagues,

Environmental monitoring is critical for comprehending climate impact on natural and agricultural systems, understanding ecological processes, optimizing water resources, and preventing natural disasters. In this context, one of the greatest potentials in environmental monitoring is represented by the use of Unmanned Aerial Systems (UASs), growing rapidly in last decade.

UASs offer the extraordinary opportunity to fill the existing gap between remote sensing and field measurements by providing high spatial resolution measurements at high frequency. They allow to extend and improve the description of river basin hydrology, agricultural systems, and natural ecosystems, affording an impressive level of detail. Several new UAS-based approaches have been recently introduced to monitor vegetation state, crop production, soil water content, river evolution, and stream flow during low-flow and floods.

The Special Issue is dedicated to multidisciplinary contributions focusing on the demonstration of the benefit of UAS data and algorithms for environmental monitoring. The research presented might focus on:

- Added value of UAS data in environmental monitoring;

- Methods and procedures for UAS data processing;

- Use of UAS in precision farming;

- Innovative applications of UAS data for rapid environmental mapping and change detection;

- Advanced applications of UAS data for monitoring vegetation state, crop production, soil water content, river evolution, and stream flow;

- Potential of different sensors (e.g., thermal, visual, radar, laser, and/or their fusion) and algorithms for environmental variables.

Dr. Salvatore Manfreda
Dr. Brigitta Toth
Dr. Giorgios Mallinis
Dr. Antonino Maltese
Dr. Matthew Perks
Dr. Zhongbo Su
Dr. Eyal Ben-Dor
Dr. Jana Müllerová
Guest Editors

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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 2700 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.

Keywords

  • Evironmental Monitoring
  • UAS
  • Precision agriculture
  • Soil moisture
  • Vegetation
  • River systems

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Remote Sens. - ISSN 2072-4292