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.

Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments / Manfreda, Salvatore; BEN-DOR, Eyal. - (2023). [10.1016/C2020-0-02177-8]

Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments

Salvatore Manfreda
Conceptualization
;
Eyal Ben Dor
2023

Abstract

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.
2023
9780323852838
9780323852845
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments / Manfreda, Salvatore; BEN-DOR, Eyal. - (2023). [10.1016/C2020-0-02177-8]
File in questo prodotto:
File Dimensione Formato  
Screenshot 2023-01-27 at 15.08.50.png

accesso aperto

Descrizione: Copertina
Tipologia: Documento in Post-print
Licenza: Copyright dell'editore
Dimensione 264.28 kB
Formato image/png
264.28 kB image/png Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/892052
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact