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

Evento de muestreo Observación
Última versión publicado por Research Institute for Nature and Forest (INBO) el jul 13, 2026 Research Institute for Nature and Forest (INBO)
Fecha de publicación:
13 de julio de 2026
Licencia:
CC0 1.0

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 1.978 registros en Inglés (235 KB) - Frecuencia de actualización: no planeado
Metadatos como un archivo EML descargar en Inglés (16 KB)
Metadatos como un archivo RTF descargar en Inglés (12 KB)

Descripción

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.

Registros

Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 1.978 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

Event (core)
1978
Occurrence 
11267

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Research Institute for Nature and Forest (INBO). En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 6b7e71b3-8e4d-4ce4-a27a-cee04d6f82c8.  Research Institute for Nature and Forest (INBO) publica este recurso y está registrado en GBIF como un publicador de datos avalado por Belgian Biodiversity Platform.

Palabras clave

Samplingevent; Observation; INBO data; habistat; INBOVeg

Contactos

Jeroen Vanden Borre
Toon Spanhove
Maria-Rose Eves Down
  • Proveedor De Los Metadatos
INBO
Brussel
BE

Cobertura geográfica

Flanders, Belgium

Coordenadas límite Latitud Mínima Longitud Mínima [50,754, 4,379], Latitud Máxima Longitud Máxima [51,43, 4,667]

Cobertura taxonómica

N/A

Reino Plantae

Cobertura temporal

Fecha Inicial / Fecha Final 2006-07-27 / 2010-01-01

Datos del proyecto

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.

Título HABISTAT: A classification framework for habitat status reporting with remote sensing methods
Descripción del área de estudio 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.
Descripción del diseño 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.

Personas asociadas al proyecto:

Jeroen Vanden Borre
Toon Spanhove

Referencias bibliográficas

  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

Metadatos adicionales

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.

Agradecimientos
Identificadores alternativos 6b7e71b3-8e4d-4ce4-a27a-cee04d6f82c8
https://ipt.inbo.be/resource?r=inboveg-habistat-event