Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to monitor river systems, soil characteristics, and related processes at unparalleled spatio-temporal resolutions. This capability has enabled enhancements in our capacity to describe water cycle and hydrological processes. The book includes guidelines, technical advice, and practical experience to support practitioners and scientists in increasing the efficiency of monitoring with the help of UAS. The book contains field survey datasets to use as practical exercises, allowing proposed techniques and methods to be applied to real world case studies.
- Includes a summary of technical UAS issues allowing readers to focus on how the exact technology fits their scientific question
- Provides specific applications enabling readers to understand the benefits and threats within the field
- Includes a comprehensive literature review in each chapter, allowing readers to know the key players and research in the field
Salvatore Manfreda is Full Professor of Water Management and Hydrology at the University of Naples Federico II, Chair of the COST Action Harmonious and Scientific Coordinator of the Flood Forecasting System of the Civil Protection of the Basilicata Region. He has broad interest on distributed modeling, flood prediction, stochastic processes in hydrology, soil moisture process, delineation of flood prone areas, vegetation patterns and UAS-based monitoring.
Eyal Ben-Dor is a full professor at the Tel Aviv University (TAU) and was the chair of the Geography and Human Environment Department at Tel-Aviv University from 2005-2009 and again from 2012-2015. Currently he is serving as the head of the remote sensing laboratory (RSL) within this department and a GEO principle of Israel under the Israel Space Agency appointment and mandate. He has more than 24 years’ experience in remote sensing of the Earth, with special emphasis on the Hyperspectral Remote Sensing technology (HRS) and soil spectroscopy.