We propose methods to automatically assess the conservation status of a habitat. Habitat monitoring is usually performed by botanists and other specialists in their field work, searching for the presence or lack of typical plant species (Evans D, Arvela M (2011) Assessment and reporting under Article 17 of the Habitats Directive. Explanatory Notes & Guidelines for the period 2007–2012. European Commission, Brussels.) and other elements (such as vegetation cover) that might indicate the degradation of a habitat. We present preliminary work that makes use of a robotic platform employed to help botanists in their tasks. Three methods are proposed. First a color segmentation method, to detect the amount of green in a given area, a detection method to automatically detect the presence of a given plant, and finally a classification method used to identify a plant in a single image.

Towards the Computational Assessment of the Conservation Status of a Habitat / Manh, X. H.; Gigante, D.; Angiolini, C.; Bagella, S.; Caccianiga, M.; Angelini, F.; Garabini, M.; Remagnino, P.. - 13806:(2023), pp. 751-764. [10.1007/978-3-031-25075-0_51]

Towards the Computational Assessment of the Conservation Status of a Habitat

Bagella S.;
2023-01-01

Abstract

We propose methods to automatically assess the conservation status of a habitat. Habitat monitoring is usually performed by botanists and other specialists in their field work, searching for the presence or lack of typical plant species (Evans D, Arvela M (2011) Assessment and reporting under Article 17 of the Habitats Directive. Explanatory Notes & Guidelines for the period 2007–2012. European Commission, Brussels.) and other elements (such as vegetation cover) that might indicate the degradation of a habitat. We present preliminary work that makes use of a robotic platform employed to help botanists in their tasks. Three methods are proposed. First a color segmentation method, to detect the amount of green in a given area, a detection method to automatically detect the presence of a given plant, and finally a classification method used to identify a plant in a single image.
2023
Towards the Computational Assessment of the Conservation Status of a Habitat / Manh, X. H.; Gigante, D.; Angiolini, C.; Bagella, S.; Caccianiga, M.; Angelini, F.; Garabini, M.; Remagnino, P.. - 13806:(2023), pp. 751-764. [10.1007/978-3-031-25075-0_51]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11388/314134
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact