LiDAR Digital Altitude Model Flanders I, raw remote sensing data

Description

This dataset contains the LiDAR point clouds that were collected as part of the Digital Altitude Model Flanders I (DHMV I). The source data for the digital elevation model (DHM) Flanders was recorded in the period 2001 - 2004 via laser altimetry (LIDAR recordings). This source data contains the original LiDAR points belonging to both ground and non-ground level. The average density is 1 point per 4m2. The original files were originally delivered as raw ASCI x, y, z points lists, which were grouped separately by flight lane and by ground or non-ground class. Now the source data is offered in the LAS format via the data hosting services of the BeeldVerwerkingsKeten GDI-Vlaanderen (BVK) within the AIV program EODaS (Earth Observation Data Science). The LAS format allows the data to be divided into pens of 500 x 500 meters where the information of, among other things, the classification (ground level, class 1 and non-ground level / non-classified class 2), the flight lane numbering and the flight date is stored in the LAS format itself. This data is provided via the EODaS OpenLidar application, https://remotesensing.vlaanderen.be/apps/openlidar/ More background information can be found at https://overheid.vlaanderen.be/informatie-vlaanderen/product-services/earth-observation-data-science

Resources

Name Format Description Link

Tags

  • terrain-model
  • agiv-product
  • dhm-raster5
  • digital-surface-model
  • digitaal-oppervlaktemodel
  • dem
  • digital-elevation-model
  • dhmv-ii
  • elevation-model
  • hoogtemodel
  • dhm-raster25
  • beeldverwerkingsketen
  • digital-terrain-model
  • dhm-raster100
  • remote-sensing
  • dhm-vlaanderen
  • digitaal-hoogtemodel-vlaanderen,-opname-2001-2004
  • oppervlaktemodel
  • digitaal-terreinmodel
  • dsm
  • terreinmodel
  • lidar-puntenwolken
  • digitaal-hoogtemodel-vlaanderen-i
  • surface-model
  • ruwe-brondata
  • digitaal-hoogtemodel-vlaanderen-ii
  • dhmv-i
  • dtm

Topics

  • ENVI

Categories