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Proland is a research prototype, not an
industrial quality software library. Its main
purpose is to foster research on real-time and realistic rendering algorithms.
It provides a framework and several predefined algorithms allowing researchers
to develop new ideas, without having to redevelop a full rendering engine to
show their results. It also provides a "reference" implementation for
the research papers listed in publications.
However Proland can also be used for other goals than research, including
Open Source or commercial projects (contact proland-licensing@inria.fr
for all questions about commercial licenses), but WITHOUT ANY WARRANTY. In particular,
Proland requires a graphics card compatible with OpenGL 3.x.
Proland has only been tested on Windows and Linux, with specific NVidia graphics cards and
OpenGL driver versions (e.g. NVidia GeForce 470 GTX, NVidia GeForce 260M GTX).
IT MAY NOT WORK WITH ANY OTHER SYSTEM CONFIGURATION (in particular
with ATI cards).
All contributions are welcome, and if you actively use or extend Proland,
don't hesitate to let us know.
Proland source code:
Access to the git on
Gitlab.
A binary release is also available here. It contains precompiled DLLs
for Windows, the libray header files, the developper documentation, as well as a precompiled demo application and
several precompiled examples. These executables can be run directly after you have
downloaded them, except for the Earth scenes, which also require you to download the
associated Earth terrain
data.
Registration
- Registration form.
Documentation
The Proland documentation can be browsed online
here. Proland is based on
Ork , whose documentation is available
here.
The Earth scenes in the Proland demo require precomputed terrain data for the Earth, which
is avaible at http://proland.inrialpes.fr/data/.
In order to display these scenes, you must first download this huge data (more than 20 GB),
with the same directory structure. The easiest way to do this is to use wget, with the following command
(for optimal rendering performance, store this data on a SSD drive, if possible):
wget -r -A .dat,.graph http://proland.inrialpes.fr/data/
Then edit the init.bat
file in the Proland demo to reference the folder where you downloaded this data.
This data comes Blue Marble Next Generation, CIAT-CSI SRTM v4, Global Land Cover Facility AVHRR and ArcGIS, and is redistributed here in the Proland internal format with the permission of CIAT-CSI and GLCF (no authorization is required to redistribute the Blue Marble Data, and the world borders map from ArcGIS has a creative commons license).
We reproduce here the disclaimer from the CIAT-CSI:
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The data distributed here are in ARC GRID, ARC ASCII and Geotiff format, in decimal degrees and datum WGS84. They are derived from the USGS/NASA SRTM data.
CIAT have processed this data to provide seamless continuous topography surfaces. Areas with regions of no data in the original SRTM data have been
filled using interpolation methods described by Reuter et al. (2007). |
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| Users are prohibited from any commercial, non-free resale, or redistribution
without explicit written permission from CIAT. Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets,
derived products, or services resulting from the use of this data set. CIAT also
request reprints of any publications and notification of any redistributing
efforts. For commercial access to the data, send requests to Andy Jarvis. |
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| CIAT provides these data without any warranty of any kind whatsoever, either
express or implied, including warranties of merchantability and fitness for a
particular purpose. CIAT shall not be liable for incidental, consequential, or
special damages arising out of the use of any data. |
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| ACKNOWLEDGMENT AND CITATION |
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We kindly ask any users to cite this data in any published material produced
using this data, and if possible link web pages to the CIAT-CSI SRTM website
(http://srtm.csi.cgiar.org).
Citations should be made as follows: Jarvis A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled seamless SRTM
data V4, International Centre for Tropical Agriculture (CIAT), available from
http://srtm.csi.cgiar.org. | |
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REFERENCES
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Reuter H.I, A. Nelson, A. Jarvis, 2007, An evaluation of void filling
interpolation methods for SRTM data, International Journal of Geographic
Information Science, 21:9, 983-1008. |
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and from the Global Land Cover Facility:
| How to Cite This Data Set |
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Citation Format: Author (Publication Date), Collection Name, Product Name,
Processing
Level, Publisher, Publisher Location, Product Coverage Date.
Citation Parameters Example:
- Author: Hansen, M., R. DeFries, J.R.G. Townshend, and R. Sohlberg
- Publication Date: (1998)
- Collection Name: UMD Global Land Cover Classification
- Product Name: {specify 1 Degree, 8 Kilometer, or 1 Kilometer}
- Version: 1.0
- Publisher: Department of Geography, University of Maryland
- Publisher Location: College Park, Maryland
- Product Coverage Date: 1981-1994
Full Example Citation: Hansen, M., R. DeFries, J.R.G. Townshend, and
R. Sohlberg (1998), UMD Global Land Cover Classification, 1 Kilometer,
1.0, Department of Geography, University of Maryland, College Park, Maryland, 1981-1994.
Associated Peer-Reviewed Publication: Hansen, M., R. DeFries, J.R.G. Townshend, and
R. Sohlberg (2000), Global land cover classification at 1km resolution using a decision
tree classifier, International Journal of Remote Sensing. 21: 1331-1365.
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| Intellectual Property Rights |
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University of Maryland; Department of Geography; use is free to all if
acknowledgement is made. UMD holds ultimate copyright.
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| Source |
Source for this data set is the Global Land Cover Facility, www.landcover.org. |
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A C++/OpenGL library for the real-time realistic rendering of very large and detailed 3D natural scenes on GPU
