https://ipt.inbo.be/resource?r=inboveg-habistat-event inboveg-habistat-event Jeroen Vanden Borre INBO jeroen.vandenborre@inbo.be 0000-0002-0153-7243 Toon Spanhove INBO toon.spanhove@inbo.be 0000-0001-9194-0193 Maria-Rose Eves Down INBO

Brussel BE

mariarose.evesdown@inbo.be 0009-0000-9611-3824 2026-05-22 eng 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. 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. Samplingevent GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml Observation GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml INBO data n/a habistat n/a INBOVeg n/a 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. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction. Creative Commons Zero v1.0 Universal https://spdx.org/licenses/CC0-1.0.html CC0-1.0 Flanders, Belgium 4.378534 4.667151 51.430213 50.753848 2006-07-27 2010-01-01 N/A kingdom Plantae The Habistat project was a joint effort, including many different individuals, institutions and organisations. Please see the full report for a detailed list of all participants and their contributions (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.) notPlanned Jeroen Vanden Borre INBO jeroen.vandenborre@inbo.be 0000-0002-0153-7243 Toon Spanhove INBO toon.spanhove@inbo.be 0000-0001-9194-0193 Jeroen Vanden Borre 0000-0002-0153-7243 principalInvestigator Toon Spanhove 0000-0001-9194-0193 principalInvestigator Desiré Paelinckx 0000-0002-2835-4455 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. 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. 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. 2026-05-21T09:31:13.079+00:00 dataset Vanden Borre J, Spanhove T, Eves Down M (2026). INBOVeg - Vegetation observations as part of the Habistat surveys in Flanders, Belgium. Version 1.0. Research Institute for Nature and Forest (INBO). Samplingevent dataset. https://ipt.inbo.be/resource?r=inboveg-habistat-event&v=1.0 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 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