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Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Earth Observation

  • Book

  • January 2023
  • Elsevier Science and Technology
  • ID: 5638118

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.

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Table of Contents

Introduction

Section 1 General introduction on the use of UAS for environmental monitoring .�Remote sensing of the environment using unmanned aerial systems .�Protocols for UAS-based observation .�Using structure-from-motion workflows for 3D mapping and remote sensing

Section 2 Vegetation monitoring .�Vegetation mapping and monitoring by unmanned aerial systems (UAS)-current state and perspectives .�Monitoring agricultural ecosystems

Section 3 Soil Mapping .�Mapping soil properties for unmanned aerial system based environmental monitoring .�Soil moisture monitoring using unmanned aerial system

Section 4 River Monitoring .�Geometric correction and stabilization of images collected by UASs in river monitoring .�River flow monitoring with unmanned aerial system .�Monitoring river channel dynamics by Unmanned Aerial Systems

Section 5 Tools and datasets .�Tools and datasets for unmanned aerial system applications

Authors

Salvatore Manfreda Full Professor of Water Management and Hydrology at the University of Naples Federico II. 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. Ben Dor Eyal Professor, Tel Aviv University (TAU), Tel Aviv, Israel. 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.