• Inicio
• Sobre nosotros
  • Sobre el proyecto
  • Planteamiento
  • Área de estudio
  • Subproyectos
  • Contacto
  • DFG Science TV
• Personal
• Publicaciones
  • Listar publicaciones
• Documentos y Servicios
  • Información de carácter general
• Datos
  • Conjuntos de datos de lista
  • Árbol de categorías
  • Plots of climate datasets
• PAK 823-825(2013-2018)
  • Sobre el proyecto
  • Estructura
  • Subproyectos
  • Personal
  • Contrapartes
  • Área de estudio
  • Contact
  • Links
  • News
  • Data agreement
• FOR816/2(2010-2013)
  • Sobre el proyecto
  • Estructura
  • Subproyectos
  • Personal
  • Contrapartes
  • Área de estudio
  • Contact
  • Links
  • FOR816 Data user agreement

Datos plataforma

Descripción general

Vista detallada

This Digital Terrain Model (DTM) is derived from LiDAR data. The helicopter-based survey of the Rio San Francisco catchment (between Loja and Zamora in South Ecuador) has been conducted in March 2012. Due to bad weather conditions the survey could not be finished (the upper parts of the mountain lay in clouds). It is expected to be continued in October 2012. So this is a preliminary version of the DSM/DTM dataset, because further harmonization and filtering processes will be adapted to the full LiDAR dataset.

The DTM has the high resolution of 1m. Nevertheless, keep the uncertainties of the generation in mind. Detailed QA information can not be given yet.
A DSM/DTM derived from a LiDAR mission on such a step terrain must have some restrictions in the accuracy. Based on independent GPS control points measured on plane areas we can confirm a vertical accuracy of the DSM/DTM within 1 meter.  You also have to keep in mind that there are many processing steps to derive a raster model from a LiDAR point cloud, which may influence the characteristics of the DTM/DSM (e.g. step walls are smoothed in the raster model).
Reflections from power lines, towers and cars are still unclassified. This means that these data is interpreted as part of the DSM and the DTM.

The LiDAR survey has been initiated by the working group of Prof. J. Bendix and is financed partly by the University of Marburg. The usage of this preliminary DSM/DTM is restricted to the RU816 members for first evaluation approaches. The usage for publications has to be agreed in advance with Prof. J. Bendix.

The DTM is organized in a dataset with several raster entities. They are tiled into blocks to reduce the size of single files. Each block is downloadable independently.

This Digital Surface Model (DSM) is derived from LiDAR data. The helicopter-based survey of the Rio San Francisco catchment (between Loja and Zamora in South Ecuador) has been conducted between 10th and 16th of March 2012. Due to bad weather conditions the survey could not be finished (the upper parts of the mountain lay in clouds). It is expected to be continued in October 2012. So this is a preliminary version of the DSM/DTM dataset, because further harmonization and filtering processes will be adapted to the full LiDAR dataset.

The DSM has the high resolution of 1m. Nevertheless, keep the uncertainties of the generation in mind. Detailed QA information can not be given yet.
A DSM derived from a LiDAR mission on such a step terrain must have some restrictions in the accuracy. Based on independent GPS control points measured on plane areas we can confirm a vertical accuracy of the DSM within 1 meter.  You also have to keep in mind that there are many processing steps to derive a raster model from a LiDAR point cloud, which may influence the characteristics of the DTM/DSM (e.g. step walls are smoothed in the raster model).
Reflections from power lines, towers and cars are still unclassified. This means that these data is interpreted as part of the DSM.

The LiDAR survey has been initiated by the working group of Prof. J. Bendix and is financed partly by the University of Marburg. The usage of this preliminary DSM/DTM is restricted to the RU816 members for first evaluation approaches. The usage for publications has to be agreed in advance  with Prof. J. Bendix.

The DTM and DSM is organized in a dataset with several raster entities. They are tiled into blocks to reduce the size of single files. Each block is downloadable independently.