Unmanned aerial systems (UASs) have rapidly transformed environmental monitoring by affording distributed and frequent observations at high spatial resolutions. The pervasive use of such platforms is impressive and UASs have rapidly become an indispensable addition to the toolkit available to researchers and practitioners globally. However, the ubiquitous spread of UASs has also been paralleled by a plethora of platforms and techniques to process data and extracts environmental variables. From off-the-shelf commercial toolboxes to custom-built routines, UAS end users have to orient themselves among innumerable platforms and resources, and this hampers accurate comparisons to more established approaches. In this chapter, we identify a common workflow for most popular UAS applications from raw data to output benchmarking and comprehensively report available protocols and software tools. Further, we present several data resources for a thorough comparison of existing techniques. Finally, we illustrate state of the art and challenges of multisource studies that merge data from diverse monitoring platforms. This work represents an important effort towards the harmonization of existing UAS methodologies and the standardization of UAS-based measurements.

Ciraolo G., Tauro F. (2023). Tools and datasets for unmanned aerial system applications. In B.D.E. Editors: Salvatore Manfreda (a cura di), Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments (pp. 295-306). Elsevier [10.1016/B978-0-323-85283-8.00002-3].

Tools and datasets for unmanned aerial system applications

Ciraolo G.
Primo
;
2023-01-01

Abstract

Unmanned aerial systems (UASs) have rapidly transformed environmental monitoring by affording distributed and frequent observations at high spatial resolutions. The pervasive use of such platforms is impressive and UASs have rapidly become an indispensable addition to the toolkit available to researchers and practitioners globally. However, the ubiquitous spread of UASs has also been paralleled by a plethora of platforms and techniques to process data and extracts environmental variables. From off-the-shelf commercial toolboxes to custom-built routines, UAS end users have to orient themselves among innumerable platforms and resources, and this hampers accurate comparisons to more established approaches. In this chapter, we identify a common workflow for most popular UAS applications from raw data to output benchmarking and comprehensively report available protocols and software tools. Further, we present several data resources for a thorough comparison of existing techniques. Finally, we illustrate state of the art and challenges of multisource studies that merge data from diverse monitoring platforms. This work represents an important effort towards the harmonization of existing UAS methodologies and the standardization of UAS-based measurements.
gen-2023
Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
https://shop.elsevier.com/books/unmanned-aerial-systems-for-monitoring-soil-vegetation-and-riverine-environments/manfreda/978-0-323-85283-8?country=IT&format=print&utm_source=google_ads&utm_medium=paid_search&utm_campaign=itpmax&gad_source=1&gclid=Cj0KCQiAv8SsBhC7ARIsALIkVT27YIrWQECxtmSD1_m84_ybXnB3a5JpVB_UuAQu7nE9keyATGV9fncaAoo5EALw_wcB&gclsrc=aw.ds
Ciraolo G., Tauro F. (2023). Tools and datasets for unmanned aerial system applications. In B.D.E. Editors: Salvatore Manfreda (a cura di), Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments (pp. 295-306). Elsevier [10.1016/B978-0-323-85283-8.00002-3].
File in questo prodotto:
File Dimensione Formato  
Tools and datasets-1-6.pdf

Solo gestori archvio

Descrizione: parte 1.
Tipologia: Versione Editoriale
Dimensione 7.96 MB
Formato Adobe PDF
7.96 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Tools and datasets-7-12.pdf

Solo gestori archvio

Descrizione: parte 2.
Tipologia: Versione Editoriale
Dimensione 9.63 MB
Formato Adobe PDF
9.63 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/10447/620840
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact