Modern Approaches to the Monitoring of BiOdiversity

Informazioni relative al progetto

MAMBO

ID dell’accordo di sovvenzione: 101060639

DOI 10.3030/101060639

Data della firma CE 2 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale € 3 703 783,75

Contributo UE € 3 703 783,00

Coordinato da

AARHUS UNIVERSITET
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (9)

Project identity, promotional materials pack and website running

(Project identity, promotional materials pack and website running)

Review of habitat condition metrics used across the EU, suitable for RS

(Review of habitat condition metrics used across the EU, suitable for RS)

Guidelines for data standards and technical specifications of MAMBO tools

(Guidelines for data standards and technical specifications of MAMBO tools )

Risk Management Plan

(Risk Management Plan)

Report on stakeholder mapping and network analysis

(Report on stakeholder mapping and network analysis)

Report on optimal positioning and linkage of MAMBO tools to KCBD and RI landscape

(Report on optimal positioning and linkage of MAMBO tools to KCBD and RI landscape )

Report on stakeholder needs

(Report on stakeholder needs)

Assessment of interoperability and maturity for upscaling habitat condition metrics

(Assessment of interoperability and maturity for upscaling habitat condition metrics )

Project Management and Quality Assurance Plan (Updated each reporting period)

(Project Management and Quality Assurance Plan (Updated each reporting period))

Other (1)

Open-source deep learning framework for habitat extent mapping - version 1.0

(Open-source deep learning framework for habitat extent mapping - version 1.0)

Pubblicazioni

Other (1)

The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe

Autori: Christophe Botella, Benjamin Deneu, Diego Marcos, Maximilien Servajean, Joaquim Estopinan, et al..
Pubblicato in: ArXiv preprint - Populations and Evolution, 2023, ISSN 2331-8422
Editore: ArXiv.org
DOI: 10.48550/arXiv.2308.05121

Peer reviewed articles (5)

Modern Approaches to the Monitoring of Biоdiversity (MAMBO)

Autori: Høye TT, August T, Balzan MV, Biesmeijer K, Bonnet P, Breeze TD, Dominik C, Gerard F, Joly A, Kalkman V, Kissling WD, Metodiev T, Moeslund J, Potts S, Roy DB, Schweiger O, Senapathi D, Settele J, Stoev P, Stowell D
Pubblicato in: Research Ideas and Outcomes, Numero 9, 2023, ISSN 2367-7163
Editore: Pensoft Publishers
DOI: 10.3897/rio.9.e116951

Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds

Autori: Kissling, W.D.; Shi, Y.; Koma, Z.; Meijer, C.; Ku, O.; Nattino, F.; Seijmonsbergen, A.C.; Grootes, M.W.
Pubblicato in: Ecological Informatics, Numero v.72, 2022, ISSN 1574-9541
Editore: Elsevier
DOI: 10.1016/j.ecoinf.2022.101836

Diversity and Distributions

Autori: W. Daniel Kissling, Yifang Shi
Pubblicato in: Diversity and Distributions, Numero v. 29, 2023, ISSN 1366-9516
Editore: Wiley
DOI: 10.1111/ddi.13760

Hierarchical classification of insects with multitask learning and anomaly detection

Autori: Bjerge, Kim; Geissmann, Quentin; Alison, Jamie; Mann, Hjalte M.R.; Høye, Toke Thomas; Dyrmann, Mads; Karstoft, Henrik
Pubblicato in: Ecological Informatics, Numero v.77, 2023, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/j.ecoinf.2023.102278

Accurate detection and identification of insects from camera trap images with deep learning

Autori: Kim Bjerge; Jamie Alison; Mads Dyrmann; Carsten Eie Frigaard; Hjalte M. R. Mann; Toke Thomas Høye
Pubblicato in: PLOS Sustainability and Transformation, 2023, ISSN 2767-3197
Editore: Public Library of Science
DOI: 10.1371/journal.pstr.0000051

Conference proceedings (6)

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

Autori: Pierre Bonnet , Antoine A.A. Affouard, Jean-Christophe J.-C. Lombardo , Mathias Chouet , Hugo Gresse , Vanessa Hequet , Remi Palard , Maxime Fromholtz , Vincent Espitalier , Hervé H.G. Goëau , Benjamin Deneu , Christophe Botella , Joaquim Estopinan , Césa
Pubblicato in: Biodiversity Information Science and Standards, 2023, ISSN 2535-0897
Editore: Pensoft Publishers
DOI: 10.3897/biss.7.112545

Lecture Notes in Computer Science

Autori: Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Christophe Botella, Diego Marcos, Milan Šulc, Marek Hrúz, Titouan Lorieul, Sara Si Moussi, Maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pie
Pubblicato in: ECIR 2023 LNCS proceedings, 2023, ISSN 0302-9743
Editore: Springer
DOI: 10.1007/978-3-031-28241-6_65

Overview of GeoLifeCLEF 2023: Species composition prediction with high spatial resolution at continental scale using remote sensing

Autori: Christophe Botella, Benjamin Deneu, Diego Marcos, Maximilien Servajean, Théo Larcher, César Leblanc, Joaquim Estopinan, Pierre Bonnet, Alexis Joly
Pubblicato in: Working Notes of the Conference and Labs of the Evaluation Forum, 2023, ISSN 1613-0073
Editore: CEUR-WS

Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale

Autori: Hervé Goëau, Pierre Bonnet, Alexis Joly
Pubblicato in: Working Notes of the Conference and Labs of the Evaluation Forum, 2023, ISSN 1613-0073
Editore: CEUR-WS

Lecture Notes in Computer Science

Autori: Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Christophe Botella, Diego Marcos, Milan Šulc, Marek Hrúz, Titouan Lorieul, Sara Si Moussi, Maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pie
Pubblicato in: Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023, ISSN 0302-9743
Editore: Springer
DOI: 10.1007/978-3-031-42448-9_27

Comparison between transformers and convolutional models for fine-grained classification of insects

Autori: Rita Pucci, Vincent J. Kalkman, Dan Stowell
Pubblicato in: Workshop Camera Traps, AI and Ecology, 2023
Editore: Computer Vision Group Jena
DOI: 10.48550/arXiv.2307.11112