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FIG. 3 in Pleuropholis germinalis n. sp., a new Pleuropholidae (Neopterygii, Teleostei) from the Early Cretaceous of Bernissart, Belgium
FIG. 3. — Skeleton of Pleuropholis germinalis n. sp., IRSNB P.01235, holotype, counterpart of IRSNB P.01236: A, photograph; B, line drawing close-up on the dorsal fin; C, line drawing close-up on the pelvic fin. Scale bars: A, 0.5 cm; B, C, 0.25 cm.
FIG. 1 in Pleuropholis germinalis n. sp., a new Pleuropholidae (Neopterygii, Teleostei) from the Early Cretaceous of Bernissart, Belgium
FIG. 1. — Location and geological framework of the Bernissart locality: A, localisation of Belgium in western Europe; B, localisation of Mons within Belgium; C, localisation of Bernissart within the Mons Basin, from Baele et al. (2012b); D, cross section of the Bernissart area showing the geological setting of the Iguanodon Sinkhole, modified from Baele et al. (2012b), who adapted the figure from Delmer & Van Wichelen (1980). Abbreviation: Lux., Luxemburg.
Text-fig. 1. Type specimen of Palmocarpon cretaceum MIQUEL, 1853, as illustrated by Miquel (1853: pl. 7). This figure does not include the piece of flint covering the central part of the fossil shown in the photograph (Text-fig. 2). in The Type Of Palmocarpon Cretaceum Miq., 1853 Described From The Cretaceous Of The Sint-Pietersberg, The Netherlands, Is An Eocene Nypa Burtinii (Brongn.) Ettingsh., 1879, Most Likely From The Brussels Area, Belgium
Text-fig. 1. Type specimen of Palmocarpon cretaceum MIQUEL, 1853, as illustrated by Miquel (1853: pl. 7). This figure does not include the piece of flint covering the central part of the fossil shown in the photograph (Text-fig. 2).
Text-fig. 2. Type specimen of Palmocarpon cretaceum MIQUEL, 1853 (V 21763 in the NHM, London). a: Shows the front (for comparison with Text-fig. 1), b: shows the reverse, with the label glued to it. in The Type Of Palmocarpon Cretaceum Miq., 1853 Described From The Cretaceous Of The Sint-Pietersberg, The Netherlands, Is An Eocene Nypa Burtinii (Brongn.) Ettingsh., 1879, Most Likely From The Brussels Area, Belgium
Text-fig. 2. Type specimen of Palmocarpon cretaceum MIQUEL, 1853 (V 21763 in the NHM, London). a: Shows the front (for comparison with Text-fig. 1), b: shows the reverse, with the label glued to it.
Fig. 1 in Diversity of the adapisoriculid mammals from the early Palaeocene of Hainin, Belgium
Fig. 1. Geographic map indicating the position of the Hainin Formation in the Mons Basin, South Western Belgium.
Fig. 5 in Diversity of the adapisoriculid mammals from the early Palaeocene of Hainin, Belgium
Fig. 5. SEM pictures of the adapisoriculid Bustylus folieae sp. nov. from the early Palaeocene of Hainin (Belgium). A. Left p3, IRSNB M1999 (P2−14), in labial (A1), occlusal (A2), and lingual (A3) views. B. Left p4, IRSNB M2000(R1−31), in labial (B1), occlusal (B2), and lingual (B3) views. C. Right dp4, IRSNB M2001 (N2−08), in labial (C1), occlusal (C2), and lingual (C3) views. D. Left m1, IRSNB M2002 (P2−04), in labial (D1), occlusal (D2), and lingual (D3) views. E. Left m2, IRSNB M2003 (N1−01), in labial (E1), occlusal (E2), and lingual (E3) views. F. Right m3, IRSNB M2004 (R1−10), in labial (F1), occlusal (F2), and lingual (F3) views. G. Left dP4, IRSNB M1995 (Z2−01), in labial (G1) and occlusal (G2) views. H. Holotype: left M1, IRSNB M1996 (Y1−01), in labial (H1) and occlusal (H2) views. I. Left M2, IRSNB M1997 (R1−40), in labial (I1) and occlusal (I2) views. J. Left M3, IRSNB M1976 (N2−04), in labial (J1) and occlusal (J2) views. K. Left jaw fragment with p3−m2 and alveoli of p1−p2, IRSNB M1998 (N2−06b), in labial (K1), occlusal (K2), and lingual (K3) views.
Fig. 4 in Diversity of the adapisoriculid mammals from the early Palaeocene of Hainin, Belgium
Fig. 4. Occlusal sketch of the reconstructed upper tooth row, from P4 to M3, of Bustylus marandati (Crochet and Sigé, 1983), the best known species from Hainin as regards the upper dentition.
Fig. 8 in Diversity of the adapisoriculid mammals from the early Palaeocene of Hainin, Belgium
Fig. 8. SEM pictures of the adapisoriculid?Adapisoriculus sp. from the early Palaeocene of Hainin (Belgium). Right M3, IRSNB M2009 (W2−02), in labial (A) and occlusal (B) views.
Fig. 2 in Diversity of the adapisoriculid mammals from the early Palaeocene of Hainin, Belgium
Fig. 2. SEM pictures of the adapisoriculid Afrodon gheerbranti sp. nov. from the early Palaeocene of Hainin (Belgium). A. Right M1, IRSNB M1985 (Q2−28), in labial (A1) and occlusal (A2) views. B. Holotype: right M2, IRSNB M1982 (N2−17), in labial (B1) and occlusal (B2) views. C. Right M3, IRSNB M1983 (N2−16), in labial (C1) and occlusal (C2) views. D. Right p4, IRSNB M1986 (Q2−32), in labial (D1), occlusal (D2), and lingual (D3) views. E. Right m1, IRSNB M1987 (N2−13), in labial (E1), occlusal (E2), and lingual (E3) views. F. Right m2, IRSNB M1988 (Q1−06), in labial (F1), occlusal (F2), and lingual (F3) views. G. Left m3, IRSNB M1989 (N2−06), in labial (G1), occlusal (G2), and lingual (G3) views.
Goose monitoring data from the Meise Botanic Garden, Belgium
<p>This data deposit gives details and routes of the goose monitoring at Meise Botanic Garden, Meise, Belgium. Here you will find details of the survey routes and areas where the geese were counted. </p> <p>These data can be used with the observation data published on the Global Biodiversity Information Facility. However, a snapshot of the data is included here.</p> <p>Groom Q (2019). Waterbirds of the Botanic Garden Meise. Version 3.6. Botanic Garden Meise. Occurrence dataset https://doi.org/10.15468/cgffyq accessed via GBIF.org on 2019-01-01.</p> <p>The files contain the following...</p> <p><strong>0021579-181108115102211.zip</strong></p> <p>The download of data from the Global Biodiversity Information Facility</p> <p>Groom Q (2018). Waterbirds of the Botanic Garden Meise. Version 3.4. Botanic Garden Meise. Occurrence dataset https://doi.org/10.15468/cgffyq accessed via GBIF.org on 2019-01-01.</p> <p><strong>dataonsectors2019.txt; sectorsdbf.txt</strong></p> <p>A tab-delimited text file containing data on the surveyed sectors of the garden.</p> <p><strong>gardenSectors3.shp; ods.dbf</strong></p> <p>A shapefile and data file describing the extents and positions of the surveyed sectors of the Botanic Garden.</p> <p><strong>lakes.zip</strong></p> <p>A shapefile describing the extents of the lakes in the Botanic Garden. This file is not particularly precise and is only used to create maps.</p> <p><strong>route1.zip; route2.zip; route3.zip; route4.zip</strong></p> <p>Shapefiles giving the survey routes within the Botanic Garden. Routes were always walked in a clockwise direction.</p> <p> </p> <p> </p>
Orthophotos and DSMs derived from RPAS flights over the nature reserve Zwin in Flanders, Belgium
<p><strong>Study area</strong></p> <p>The Zwin is a nature reserve situated along the Belgian North Sea coast, northeast of Knokke, in the province of West-Flanders, Flanders, Belgium. The area is managed by the Flemish Agency for Nature and Forest and consists of a tidal marsh, coastal dunes with <em>Ammophila arenaria</em>, dune grasslands and/or shrub (<em>Hippophae rhamnoides</em>, <em>Salix repens</em>), and a transitional grassland zone that stretches from the inner edge of the coastal dunes into the polders.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="http://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2014 and 2015 (15 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by the <a href="https://vito.be/en">Flemish Institute for Technological Research (VITO)</a> in 2017. Images with coarse GPS coordinates were imported and processed in Agisoft PhotoScan Pro 1.4.x, a structure-from-motion (SfM) based photogrammetry software program. After extraction and matching of tie points, a bundle adjustment leads to a sparse point cloud and a refined set of camera position and orientation values. Ground control points (either artificially installed markers on the terrain, or other photo-identifiable points, measured on the ground with RTK GNSS) were used to further refine the camera calibration and obtain a pixel-level georeferencing accuracy. From there, a point cloud densification and classification into ground and non-ground points was performed, leading to a rasterized digital surface model (DSM) and digital terrain model (DTM). Finally, a true orthomosaic was projected onto the DTM.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Zwin_x.zip</code>).</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flights are indicated in the file name (e.g. 6 flights for <code>20150709_Zwin_1-3_20150710_Zwin_1-3_DSM.tif</code>).</li> <li><strong>Ground control points</strong>: fixed ground control points (GCP) were placed on 2014-04-07, coordinates of which are available in <code>GCP_20140407_Zwin_fixed.tsv</code>. These GCPs are visible (but fading over time) in all orthophotos except <code>20151012_Zwin_1-4_Ortho.tif</code> which covers a different area. Additional temporary GCPs were placed on 2014-04-07, 2014-04-10 and 2015-07-09 (visible in orthophotos of those dates), coordinates of which are available in the respective <code>GCP_yyyymmdd_Zwin.tsv</code> file.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20140407_Zwin_1-2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20140407_Zwin_1-2_Ortho.tif</code> CIR</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20140410_Zwin_1-3_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20140410_Zwin_1-3_Ortho.tif</code> CIR</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150709_Zwin_1-3_20150710_Zwin_1-3_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150709_Zwin_1-3_20150710_Zwin_1-3_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151012_Zwin_1-4_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151012_Zwin_1-4_Ortho.tif</code> RGB</li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
Orthophotos and DSMs/DTM derived from RPAS flights over the nature reserve Landschap De Liereman in Flanders, Belgium
<p><strong>Study area</strong></p> <p>Landschap De Liereman is a nature reserve situated in Oud-Turnhout, in the province of Antwerp, Flanders, Belgium. The area is managed by the nature conservation NGO Natuurpunt and consists of a diverse landscape of wet and dry heathlands, <em>Nardus</em> grasslands on siliceous soils, forests and transition mires, as well as some remaining arable fields and high-intensity agricultural grasslands.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="http://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2015 (7 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel.</p> <p>An additional flight campaign was commissioned by INBO and carried out by the <a href="https://vito.be/en">Flemish Institute for Technological Research (VITO)</a> in 2017 with a fixed wing drone SenseFly eBee. Multispectral data were acquired using a Parrot Sequoia camera, with the following image bands: 1: green, 2: red, 3: red edge, 4: NIR, 5: alpha channel. with a Parrot Sequoia camera. Raw data for this flight campaign are not available.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by VITO in 2017. For the 2017 campaign by VITO, the outputs also include a Digital Terrain Model (DTM). Images with coarse GPS coordinates were imported and processed in Agisoft PhotoScan Pro 1.4.x, a structure-from-motion (SfM) based photogrammetry software program. After extraction and matching of tie points, a bundle adjustment leads to a sparse point cloud and a refined set of camera position and orientation values. From there, a point cloud densification and classification into ground and non-ground points was performed, leading to a rasterized digital surface model (DSM) and digital terrain model (DTM). Finally, a true orthomosaic was projected onto the DTM.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Liereman_x.zip</code>). Raw data for the eBee flights are not available.</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flights are indicated in the file name (7 flights for <code>20151008_Liereman_1-4_20151009_Liereman_1-3_DSM.tif)</code>.</li> <li><strong>Ground control points</strong>: not applicable for this dataset.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151008_Liereman_1-4_20151009_Liereman_1-3_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151008_Liereman_1-4_20151009_Liereman_1-3_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20170718_Liereman_eBee_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20170718_Liereman_eBee_DTM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20170718_Liereman_eBee_Ortho.tif</code> multispec</li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
Orthophotos and DSMs derived from RPAS flights over wild boar damaged fields in Eigenbilzen in Flanders, Belgium
<p><strong>Study area</strong></p> <p>The study area in Eigenbilzen is situated in the agricultural zone east of the locality of Eigenbilzen, in the province of Limburg, Flanders, Belgium. The flights picture a wheat field where damage by wild boar is apparent.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2015 (2 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by INBO in 2015 using Agisoft PhotoScan Pro 1.0.4, a structure-from-motion (SfM) based photogrammetry software program.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Bilzen_x.zip</code>).</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flight is indicated in the file name (e.g. <code>20150728_Bilzen_1_DSM.tif</code>).</li> <li><strong>Ground control points</strong>: not applicable for this dataset.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_Ortho.tif</code> CIR</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_DSM.tif</code></li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
Orthophotos and DSMs derived from RPAS flights over the nature reserve Averbode Bos & Heide in Flanders, Belgium
<p><strong>Study area</strong></p> <p>Averbode Bos & Heide is a nature reserve situated near the locality of Averbode, in the province of Flemish-Brabant, Flanders, Belgium. The area is managed by the nature conservation NGO Natuurpunt and consists of wet and dry heathlands, inland dunes, forests and moorland pools. In the years prior to the drone flights, large stands of mostly coniferous trees were cut to enable ecological restoration of heathlands and moorland pools. The drone flight was triggered by a particular interest to monitor the effects of this restoration.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2015 and 2016 (6 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by the <a href="https://vito.be/en">Flemish Institute for Technological Research (VITO)</a> in 2017. Images with coarse GPS coordinates were imported and processed in Agisoft PhotoScan Pro 1.4.x, a structure-from-motion (SfM) based photogrammetry software program. After extraction and matching of tie points, a bundle adjustment leads to a sparse point cloud and a refined set of camera position and orientation values. From there, a point cloud densification and classification into ground and non-ground points was performed, leading to a rasterized digital surface model (DSM) and digital terrain model (DTM). Finally, a true orthomosaic was projected onto the DTM.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_ABH_x.zip</code>).</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flights are indicated in the file name (e.g. 3 flights for <code>20150928_ABH_1-2_20151001_ABH_1_DSM.tif</code>).</li> <li><strong>Ground control points</strong>: not applicable for this dataset.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150928_ABH_1-2_20151001_ABH_1_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150928_ABH_1-2_20151001_ABH_1_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151001_ABH_2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151001_ABH_2_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160401_ABH_1_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160401_ABH_1_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160401_ABH_2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160401_ABH_2_Ortho.tif</code> CIR</li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
Orthophotos and DSMs derived from RPAS flights over the nature reserve Kalmthoutse Heide in Flanders, Belgium
<p><strong>Study area</strong></p> <p>The Kalmthoutse Heide is a nature reserve situated north of Kalmthout, in the province of Antwerp, Flanders, Belgium. It is part of the Cross-Border Nature Park De Zoom - Kalmthoutse Heide in the Netherlands and Belgium. The Kalmthoutse Heide is managed by the Flemish Agency for Nature and Forest and consists of wet and dry heathlands, inland dunes, forests and moorland pools. In this area, there is particular interest in monitoring the encroachment of the heathlands by <em>Molinia caerulea</em> and <em>Campylopus introflexus</em>.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="http://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2015 and 2016 (8 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by the <a href="https://vito.be/en">Flemish Institute for Technological Research (VITO)</a> in 2017. Images with coarse GPS coordinates were imported and processed in Agisoft PhotoScan Pro 1.4.x, a structure-from-motion (SfM) based photogrammetry software program. After extraction and matching of tie points, a bundle adjustment leads to a sparse point cloud and a refined set of camera position and orientation values. Ground control points (either artificially installed markers on the terrain, or other photo-identifiable points, measured on the ground with RTK GNSS) were used to further refine the camera calibration and obtain a pixel-level georeferencing accuracy. From there, a point cloud densification and classification into ground and non-ground points was performed, leading to a rasterized digital surface model (DSM) and digital terrain model (DTM). Finally, a true orthomosaic was projected onto the DTM.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_KH_x.zip</code>).</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flights are indicated in the file name (e.g. 3 flights for <code>20150717_KH_1-3_DSM.tif</code>).</li> <li><strong>Ground control points</strong>: temporary ground control points were placed for the first flights on 2015-07-17 (visible in <code>20150717_KH_1-3_Ortho.tif</code>). Coordinates for these are available in <code>GCP_20150717_KH.tsv</code>.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150717_KH_1-3_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150717_KH_1-3_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151020_KH_1-2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151020_KH_1-2_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151020_KH_3_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20151020_KH_3_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160205_KH_1-2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20160205_KH_1-2_Ortho.tif</code> RGB</li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
Map B 1 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Map B 1. number of records per UTM 10 x 10 km square in the dataset for the analysis of the phenology.
Map B 1 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Map B 1. Number of records per UTM 10 x 10 km square in the dataset for the analysis of the habitat preferences.
Fig. 43 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Fig. 43. Principal component analysis of species according to their relative abundance in the different two-month periods.
Fig. 42 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Fig. 42. Graphical representation of the species used in the PCA-ordination according to the species main habitat. Length of the coloured parts of the stacks represent the relative number of records for each species per habitat type.
Fig. 41 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Fig. 41. Principal component analysis of species according to their relative abundance in the different main habitat types.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.