Sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, v1.0, September-October 2018
This dataset contains sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, generated from aerial images captured by Digital Mapping Camera (DMC) during September and October 2018.
The use of digital elevation models has proven to be crucial in a large number of studies related to savanna ecosystem research. However, the insufficient spatial resolution of the input data is often considered to be a limiting factor when conducting local to regional ecosystem analysis. The elevation models and orthorectified imagery created in this dataset represent the first wall-to-wall digital elevation products of the Kruger National Park (KNP) in South Africa at 25 cm pixel posting. In the light of regular flight campaigns carried out by the South African government, the workflow of the presented data sets can be reused to create height models and orthorectified images of a vulnerable ecosystem in the future. Flight campaigns were carried out by GeoSpace International, Pretoria. Data processing and preparation as well as validation of the final products was carried out by Kai Heckel (Friedrich Schiller University Jena, Germany) with the strong support of all co-authors of the related study.
The methodology is described in the following publication:
Heckel, K.; Urban, M.; Bouffard, J.-S.; Baade, J.; Boucher, P.; Davies, A.; Hockridge, E.G.; Lück, W.; Ziemer, J.; Smit, I.; Jacobs, B.; Norris-Rogers, M.; Schmullius, C. (2021): The first sub-meter resolution digital elevation model of the Kruger National Park, South Africa. Koedoe.
Simple
- Date (Publication)
- 2021-08-24T14:45:09
- Date (Creation)
- 2021-08-24T14:45:09
- Identifier
- NERC EDS Centre for Environmental Data Analysis / deab4235f1ef4cd79b73d0cbf2655bd7
- Identifier
- doi / 10.5285/deab4235f1ef4cd79b73d0cbf2655bd7
- Maintenance and update frequency
- unknown Unknown
- Update scope
- dataset Dataset
- Keywords
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- Kruger
- Digital Elevation Models
- Orthomosaics
- GEMET - INSPIRE themes, version 1.0
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- orthoimagery
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions Other restrictions
- Spatial representation type
- grid Grid
- Metadata language
- EnglishEnglish
- Topic category
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- Imagery base maps earth cover
- Begin date
- 2018-09-01T00:00:00
- End date
- 2018-10-30T00:00:00
- Unique resource identifier
- WGS 84
- Distribution format
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GEOtiff
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GEOtiff
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- OnLine resource
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CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
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DOWNLOAD
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- OnLine resource
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H. Hirschmuller, "Stereo Processing by Semiglobal Matching and Mutual Information," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 328-341, Feb. 2008
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- OnLine resource
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Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database
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- OnLine resource
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Big Data: New Opportunities and New Challenges
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- OnLine resource
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Klette, R., Kruger, Vaudrey, N. T., Pauwels, K., van Hulle, M., Morales, S., Kandil, F., Haeusler, R., Pugeault, N., Rabe, C. and Lappe, M., 2011, 'Performance of correspondence algorithms in vision-based driver assistance using an online image sequence database', IEEE Transactions on Vehicular Technology 60, 2012-2026
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- Hierarchy level
- dataset Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
- File identifier
- deab4235f1ef4cd79b73d0cbf2655bd7 XML
- Metadata language
- EnglishEnglish
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
- Hierarchy level
- dataset Dataset
- Date stamp
- 2026-03-30T02:20:35
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
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