Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems

Understanding ecosystem dynamics in an era of global change and declining biodiversity requires monitoring biotic components such as plant behaviors and traits. Innovative integrated systems using high-frequency digital images automate vegetation tracking and record of detailed morphological and phe...

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Hoofdauteurs: Arca, Angelo, Cesaraccio, Carla, PIGA, ALESSANDRA, VENTURA, ANDREA, Duce, Pierpaolo
Formaat: Online
Taal:Engels
Gepubliceerd in: Firenze University Press 2025
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author Arca, Angelo
Cesaraccio, Carla
PIGA, ALESSANDRA
VENTURA, ANDREA
Duce, Pierpaolo
author_browse Arca, Angelo
Cesaraccio, Carla
Duce, Pierpaolo
PIGA, ALESSANDRA
VENTURA, ANDREA
author_facet Arca, Angelo
Cesaraccio, Carla
PIGA, ALESSANDRA
VENTURA, ANDREA
Duce, Pierpaolo
author_sort Arca, Angelo
collection Directory of Open Access Books
description Understanding ecosystem dynamics in an era of global change and declining biodiversity requires monitoring biotic components such as plant behaviors and traits. Innovative integrated systems using high-frequency digital images automate vegetation tracking and record of detailed morphological and phenological data. In this study, a description of prototypal monitoring systems based on repeated digital images for detecting changes in phenological traits of Mediterranean coastal maquis in North-West Sardinia is reported. Developed at CNR Laboratories, the systems use high-resolution cameras on automated robots to perform (1) image acquisition, (2) transmission, and (3) post-processing phase. High-resolution images were analyzed to extract Vegetation indices (ExG, REI) from RGB chromatic coordinates. Vegetation Indices patterns were related with phenological traits. Main results highlighted how these systems can be a valid support for monitoring phenological behaviors of vegetation, even in a rugged environment such as Mediterranean coastal ecosystems. This study advances knowledge of plant responses to environmental changes supporting ecological and environmental studies.
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publisherStr Firenze University Press
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spelling doab-20.500.12854ir-1636242025-08-02T05:19:19Z Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems Arca, Angelo Cesaraccio, Carla PIGA, ALESSANDRA VENTURA, ANDREA Duce, Pierpaolo Near Surface Monitoring System Phenological Traits High-Resolution Digital Images Vegetation Indices Understanding ecosystem dynamics in an era of global change and declining biodiversity requires monitoring biotic components such as plant behaviors and traits. Innovative integrated systems using high-frequency digital images automate vegetation tracking and record of detailed morphological and phenological data. In this study, a description of prototypal monitoring systems based on repeated digital images for detecting changes in phenological traits of Mediterranean coastal maquis in North-West Sardinia is reported. Developed at CNR Laboratories, the systems use high-resolution cameras on automated robots to perform (1) image acquisition, (2) transmission, and (3) post-processing phase. High-resolution images were analyzed to extract Vegetation indices (ExG, REI) from RGB chromatic coordinates. Vegetation Indices patterns were related with phenological traits. Main results highlighted how these systems can be a valid support for monitoring phenological behaviors of vegetation, even in a rugged environment such as Mediterranean coastal ecosystems. This study advances knowledge of plant responses to environmental changes supporting ecological and environmental studies. 2025-08-02T05:19:18Z 2025-08-02T05:19:18Z 2025-08-01T15:57:55Z 2024 chapter ONIX_20250801T173835_9791221505566_278 2975-0288 https://library.oapen.org/handle/20.500.12657/104828 9791221505566 https://directory.doabooks.org/handle/20.500.12854/163624 eng Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques open access image/jpeg Attribution-NonCommercial-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/104828/1/43657.pdf Firenze University Press 10.36253/979-12-215-0556-6.12 10.36253/979-12-215-0556-6.12 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221505566 12 Florence open access
spellingShingle Near Surface Monitoring System
Phenological Traits
High-Resolution Digital Images
Vegetation Indices
Arca, Angelo
Cesaraccio, Carla
PIGA, ALESSANDRA
VENTURA, ANDREA
Duce, Pierpaolo
Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title_full Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title_fullStr Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title_full_unstemmed Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title_short Chapter Monitoring phenological traits of a coastal mediterranean maquis area through automated systems
title_sort chapter monitoring phenological traits of a coastal mediterranean maquis area through automated systems
topic Near Surface Monitoring System
Phenological Traits
High-Resolution Digital Images
Vegetation Indices
topic_facet Near Surface Monitoring System
Phenological Traits
High-Resolution Digital Images
Vegetation Indices
url ONIX_20250801T173835_9791221505566_278
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