INBOVeg - Vegetation observations as part of the Habistat surveys in Flanders, Belgium

Événement déchantillonnage Observation
Dernière version Publié par Research Institute for Nature and Forest (INBO) le juil. 13, 2026 Research Institute for Nature and Forest (INBO)
Date de publication:
13 juillet 2026
Licence:
CC0 1.0

Téléchargez la dernière version de la ressource en tant quArchive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Données sous forme de fichier DwC-A (zip) télécharger 1 978 enregistrements dans Anglais (235 KB) - Fréquence de mise à jour: non planifié
Métadonnées sous forme de fichier EML télécharger dans Anglais (16 KB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (12 KB)

Description

This data comes from INBOVEG, the INBO vegetation record database (also part of the "Global Index of Vegetation-plot databases" and the "European Vegetation Archive").The GBIF dataset is the same as the data in INBOVeg. The relevant identification code is 'IV2015020509212244'.In the data, under 'Occurrence remarks', the vegetation layer code (and some related categories) is noted. These details are based on the BioHab-methodology. All observations and identifications were made by trained experts.Details of the sampling protocol, including the vegetation layer codes, are given in the associated report, Haest, B., Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Schmidt, A., Ma, J., C.-W. Chan, J., Canters, F., Knaeps, E., Mücher, S., Scheunders, P. and D. Paelinckx (2011). HABISTAT: A classification framework for habitat status reporting with remote sensing methods – final report. Brussels: Belgian Science Policy.To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualised the data, or to provide more information, so please contact us via the contact information provided in the metadata or via opendata@inbo.be.

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 1 978 enregistrements.

1 tableurs de données dextension existent également. Un enregistrement dextension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre denregistrements dans chaque tableur de données dextension est illustré ci-dessous.

Event (noyau)
1978
Occurrence 
11267

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Vanden Borre J, Spanhove T, Eves Down M (2026). INBOVeg - Vegetation observations as part of the Habistat surveys in Flanders, Belgium. Version 1.1. Research Institute for Nature and Forest (INBO). Samplingevent dataset. https://ipt.inbo.be/resource?r=inboveg-habistat-event&v=1.1

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Research Institute for Nature and Forest (INBO). En vertu de la loi, léditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 6b7e71b3-8e4d-4ce4-a27a-cee04d6f82c8.  Research Institute for Nature and Forest (INBO) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du Belgian Biodiversity Platform.

Mots-clé

Samplingevent; Observation; INBO data; habistat; INBOVeg

Contacts

Jeroen Vanden Borre
Toon Spanhove
  • Créateur
  • Personne De Contact
Maria-Rose Eves Down
  • Fournisseur Des Métadonnées
INBO
Brussel
BE

Couverture géographique

Flanders, Belgium

Enveloppe géographique Sud Ouest [50,754, 4,379], Nord Est [51,43, 4,667]

Couverture taxonomique

N/A

Kingdom Plantae

Couverture temporelle

Date de début / Date de fin 2006-07-27 / 2010-01-01

Données sur le projet

The general objective of the HABISTAT project was to develop a conceptual framework for an operation-oriented methodology to map, monitor and evaluate vegetation and habitat types from remote sensing imagery, and to apply this framework to the habitats of some specific heathland areas in the Atlantic part of Belgium and the Netherlands. See page 35 onwards of the report 'Haest et al., 2011'. Much of the surveying work fell under Work Packages 3100: Field Work, 3200: Data Labelling and 5200: Validation. The objective of WP-3100 was to acquire the field data necessary for the training, testing and validation of the classification methodologies, as well as to further enhance insights into approaching conservation status assessment from a remote sensing point-of-view. WP-5200 had the aim to design a validation sampling strategy and field protocol to enable a statistically sound assessment of the obtained results for the vegetation/land cover maps, as well as the determination of habitat patch types and quality estimates.

Titre HABISTAT: A classification framework for habitat status reporting with remote sensing methods
Description du domaine détude / de recherche WP3100 Field Work Fieldwork was carried out in three areas: the Kalmthoutse Heide (BE) (which included the Kalmthoutse Heide s.s., and the northern part of the nearby military area Klein Schietveld), Ginkelse and Eder Heide (also including Wekeromse Zand) (NL), and the Dijle valley (BE). For the Kalmthoutse Heide, two extensive field datasets were generated: (1) a dedicated dataset of sample points comprising carefully selected, targeted vegetation types. Collected in 2007 (with limited additions from 2006 and 2008). (2) a stratified random dataset of sample points, comprising both typical targeted vegetation types and all possible transitions. Collected in 2009. For the Ginkelse and Eder Heide, a database of the vegetation composition was collected in a similar way as on the Kalmthoutse Heide, and field spectra of vegetation types and reference sites were collected.
Description du design In order to achieve high classification accuracies in this project, we adopted a protocol for the collection of in-situ observations that is able to link both the field and the remote sensing approaches for looking at vegetation. This protocol is largely based on the BioHab-methodology, a common method for the surveillance and monitoring of habitats in the whole of Europe, developed within a project of the EU 5th Framework Programme. Please see Annex C.3. Detailed report on field work, performed in 2009. in the associated report (Haest, B., Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Schmidt, A., Ma, J., C.-W. Chan, J., Canters, F., Knaeps, E., Mücher, S., Scheunders, P. and D. Paelinckx (2011). HABISTAT: A classification framework for habitat status reporting with remote sensing methods – final report. Brussels: Belgian Science Policy) for the sampling protocol.

Les personnes impliquées dans le projet:

Jeroen Vanden Borre
Toon Spanhove

Citations bibliographiques

  1. Haest, B., Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Schmidt, A., Ma, J., Chan, J. C. W., Canters, F., Knaeps, E., Mücher, S., Scheunders, P., & Paelinckx, D. (2011). HABISTAT: A classification framework for habitat status reporting with remote sensing methods – final report. Belgian Science Policy. https://pureportal.inbo.be/en/publications/habistat-a-classification-framework-for-habitat-status-reporting--2/ https://purews.inbo.be/ws/portalfiles/portal/19271490/HABISTAT_Final_report_v3.0.pdf
  2. Haest, B.; Vanden Borre, J.; Spanhove, T.; Lang, S.; Pernkopf, L.; Delalieux, S.; Hendrix, R.; Paelinckx, D. (2012). The HABISTAT and MS.MONINA project: Remote sensing services for NATURA 2000 habitat monitoring and conservation status assessment. EARSeL Newsletter 89: 13-14

Métadonnées additionnelles

To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualised the data, or to provide more information, so please contact us via the contact information provided in the metadata or via opendata@inbo.be.

Remerciements
Identifiants alternatifs 6b7e71b3-8e4d-4ce4-a27a-cee04d6f82c8
https://ipt.inbo.be/resource?r=inboveg-habistat-event