Remote Sensing of the Environment using Unmanned Aerial Systems (UAS)

Remote Sensing of the Environment using Unmanned Aerial Systems (UAS)

1st Edition - January 1, 2023

Write a review

  • Editors: Ben Dor Eyal, Salvatore Manfreda
  • Paperback ISBN: 9780323852838

Purchase options

Purchase options
Available for Pre-Order
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

Remote Sensing of the Environment using Unmanned Aerial Systems (UAS) 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.

Key Features

  • 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

Readership

Environmental Science and remote sensing education, including (but not limited to) soil, water, and vegetation; They will find in one book most of the required steps to apply UAS technology for their present and future needs with regards to efficient monitoring and analysis of environment

Table of Contents

  • 1. Introduction
    2. Recent Advances in UAS technologies
    3. Protocols for UAS-based observations
    4. Structure from Motion (SfM) for 3D mapping
    5. Methods and Algorithms for Vegetation mapping 
    6. Monitoring Agricultural Ecosystems
    7. Soil texture mapping with UAS
    8. Soil Moisture Content (SMC) monitoring using UAS
    9. River monitoring with UAS
    10. Geometric correction and stabilization of images collected by UAS in river monitoring
    11. Monitoring of river channel dynamics by UAS
    12. Tools and datasets for UAS applications
    13. A lesson learned from the current UAS activities and future notes

Product details

  • No. of pages: 400
  • Language: English
  • Copyright: © Elsevier 2023
  • Published: January 1, 2023
  • Imprint: Elsevier
  • Paperback ISBN: 9780323852838

About the Editors

Ben Dor Eyal

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.

Affiliations and Expertise

Professor, Tel Aviv University (TAU), Tel Aviv, Israel

Salvatore Manfreda

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.

Affiliations and Expertise

Full Professor of Water Management and Hydrology at the University of Naples Federico II

Ratings and Reviews

Write a review

There are currently no reviews for "Remote Sensing of the Environment using Unmanned Aerial Systems (UAS)"