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Cite as:
Bendix, J. (2012): <b>DSM 1m (derived from LiDAR survey) - ECSF core area !preliminary version!.</b> <i>Available online (http://www.tropicalmountainforest.org/data_pre.do?citid=1120) from DFG-FOR816dw.</i>

Resource Description

Title: DSM 1m (derived from LiDAR survey) - ECSF core area !preliminary version!
Short Name: DSM 1m (LiDAR) ECSF core area
FOR816dw ID: 1120
Publication Date: 2012-08-31
Last Update Date: 2015-06-09
License and Usage Rights: 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.
Temporal Coverage:
Begin: 2012-02-02
End: 2012-02-14
Geographic Coverage:
Geographic Description: ECSF forest and pasture
Bounding Coordinates:
- lon/lat [degrees]
- WGS 84
North: Information not publicly available, please log in. Max: 2240.0 ( meter )
West: Information not publicly available, please log in. East: Information not publicly available, please log in. Elevation
South: Information not publicly available, please log in. Min: 1879.0 ( meter )
Dataset Owner(s):
Individual: Jörg Bendix
Contact:
Associated Person(s):
Individual: Joerg Zeilinger
Individual: Brenner Silva
Abstract:
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.<br/> <br/> 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.<br/> 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).<br/> Reflections from power lines, towers and cars are still unclassified. This means that these data is interpreted as part of the DSM.<br/> <br/> 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.
Additional Infos:
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.
Keywords:
| DEM | base data | elevation | LiDAR |
Associated entities to this dataset:
-------- 1 . spatial raster entity --------
Raster Name: SFdsm072
Tech. Details ...
Attribute(s) ...
-------- 2 . spatial raster entity --------
Raster Name: SFdsm073
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Attribute(s) ...
-------- 3 . spatial raster entity --------
Raster Name: SFdsm074
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Attribute(s) ...
-------- 4 . spatial raster entity --------
Raster Name: SFdsm075
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Attribute(s) ...
-------- 5 . spatial raster entity --------
Raster Name: SFdsm092
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-------- 6 . spatial raster entity --------
Raster Name: SFdsm093
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-------- 7 . spatial raster entity --------
Raster Name: SFdsm094
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-------- 8 . spatial raster entity --------
Raster Name: SFdsm095
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Attribute(s) ...
-------- 9 . spatial raster entity --------
Raster Name: SFdsm112
Tech. Details ...
Attribute(s) ...
-------- 10 . spatial raster entity --------
Raster Name: SFdsm113
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Attribute(s) ...
-------- 11 . spatial raster entity --------
Raster Name: SFdsm114
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Attribute(s) ...
-------- 12 . spatial raster entity --------
Raster Name: SFdsm115
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-------- 13 . spatial raster entity --------
Raster Name: SFdsm132
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Attribute(s) ...
-------- 14 . spatial raster entity --------
Raster Name: SFdsm133
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Attribute(s) ...
-------- 15 . spatial raster entity --------
Raster Name: SFdsm134
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-------- 16 . spatial raster entity --------
Raster Name: SFdsm135
Tech. Details ...
Attribute(s) ...
-------- 1 . other entity --------
Entity name: Survey map of data blocks
Entity Description: In this dataset entity you find a survey map and an ESRI-shp file to locate the file names of the data blocks in the single ratser elements.
Tech. Details ...
Attribute(s) ...
Metadata Provider:
Individual: Maik Dobbermann
Contact:
Contact Person:
Individual: Thomas Lotz
Contact:
Individual: Brenner Silva
Contact:
Online Distribution:
Download File: http://www.lcrs.de/data_pre.do?citid=1120
Data Publisher:
Organization: DFG-FOR816 Data Warehouse - University of Marburg, Department of Geography
Contact:


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