Evaluating NDVI as a proxy for LiDAR-based canopy characterisation in large almond orchards

X. Torrent; J. Llorens; J. Arnó; J.A. Martínez-Casasnovas; J.M. Plata; L. Sandonís-Pozo; O. Hajjaj; A. Escolà

Jump to Content

Evaluating NDVI as a proxy for LiDAR-based canopy characterisation in large almond orchards

In: Precision agriculture '25

Authors:

X. Torrent

X. Torrent
xavier.torrent@udl.cat

Search for other papers by X. Torrent in
Current site
Google Scholar
PubMed

J. Llorens

J. Llorens

Search for other papers by J. Llorens in
Current site
Google Scholar
PubMed

J. Arnó

J. Arnó

Search for other papers by J. Arnó in
Current site
Google Scholar
PubMed

J.A. Martínez-Casasnovas

J.A. Martínez-Casasnovas

Search for other papers by J.A. Martínez-Casasnovas in
Current site
Google Scholar
PubMed

J.M. Plata

J.M. Plata

Search for other papers by J.M. Plata in
Current site
Google Scholar
PubMed

L. Sandonís-Pozo

L. Sandonís-Pozo

Search for other papers by L. Sandonís-Pozo in
Current site
Google Scholar
PubMed

O. Hajjaj

O. Hajjaj

Search for other papers by O. Hajjaj in
Current site
Google Scholar
PubMed

, and

A. Escolà

A. Escolà

Search for other papers by A. Escolà in
Current site
Google Scholar
PubMed

Type:: Chapter

Pages:: 737–744

DOI:: https://doi.org/10.1163/9789004725232_097

Access via:

Dar Hadith al Hassania

Download PDF

The aim of the study was to validate the convenience of remote sensing in orchard canopy monitoring with respect to the canopy characterisation by means of LiDAR, a total of 4 almond subplots of 1 ha each were scanned. Subsequently, ordinary punctual kriging was applied to the cross-sectional area of tree rows estimated every 0.1 m along the rows derived from the MTLS data. In turn, Sentinel-2 satellite images of the same date as the LiDAR scans were downloaded and the normalized difference vegetation index (NDVI) was correlated to LiDAR-derived cross-sectional area. The results show strong correlations between the two variables in 3 of the 4 almond subplots (R²=0.77, 0.61 and 0.77, respectively).

Citation Info

Save
Cite
Email this content

Share link with colleague or librarian

You can email a link to this page to a colleague or librarian:
Email this content
or copy the link directly:

https://brill.edhh.ma/edcollchap-oa/book/9789004725232/BP000097.xml
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

Collapse
Expand

Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

Metrics

	All Time	Past 365 days	Past 30 Days
Abstract Views	0	0	0
Full Text Views	106	82	8
PDF Views & Downloads	138	77	12

African Studies	Education	Media Studies
American Studies	History	Middle East and Islamic Studies
Ancient Near East and Egypt	Human Rights and Humanitarian Law	Musicology
Art History	International Law	Philosophy
Asian Studies	International Relations	Religious Studies
Biblical Studies	Jewish Studies	Slavic and Eurasian Studies
Biology	Languages and Linguistics	Social Sciences
Book History and Cartography	Life Sciences	Theology and World Christianity
Classical Studies	Literature and Cultural Studies

Subjects

Authors

Open Access

Product Information

Company

Contact

Evaluating NDVI as a proxy for LiDAR-based canopy characterisation in large almond orchards

Citation Info

Share link with colleague or librarian

Precision agriculture '25

Table of Contents

Metrics

Metrics