Details
| Original language | English |
|---|---|
| Title of host publication | Advancing Geoinformation Science for a Changing World |
| Pages | 399-420 |
| Number of pages | 22 |
| Publication status | Published - 1 Dec 2011 |
| Event | 14th AGILE International Conference on Geographic Information Science, AGILE 2011 - Utrecht, Netherlands Duration: 18 Apr 2011 → 21 Apr 2011 |
Publication series
| Name | Lecture Notes in Geoinformation and Cartography |
|---|---|
| ISSN (Print) | 1863-2351 |
Abstract
The paper presents a scalable approach for generalization of large land-cover data sets using partitioning in a spatial database and fast generalization algorithms. In the partitioning step, the data set is split into rectangular overlapping tiles. These are processed independently and then composed into one result. For each tile, semantic and geometric generalization operations are performed to remove features that are too small from the data set. The generalization approach is composed of several steps consisting of topologic cleaning, aggregation, feature partitioning, identification of mixed feature classes to form heterogeneous classes, and simplification of feature outlines. The workflow will be presented with examples for generating CORINE Land Cover (CLC) features from the high resolution German authoritative land-cover data set of the whole area of Germany (DLM-DE). The results will be discussed in detail, including runtimes as well as dependency of the result on the parameter setting.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Social Sciences(all)
- Geography, Planning and Development
- Earth and Planetary Sciences(all)
- Earth-Surface Processes
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
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Advancing Geoinformation Science for a Changing World. 2011. p. 399-420 (Lecture Notes in Geoinformation and Cartography).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A scalable approach for generalization of land cover data
AU - Thiemann, Frank
AU - Warneke, Hendrik
AU - Sester, Monika
AU - Lipeck, Udo
PY - 2011/12/1
Y1 - 2011/12/1
N2 - The paper presents a scalable approach for generalization of large land-cover data sets using partitioning in a spatial database and fast generalization algorithms. In the partitioning step, the data set is split into rectangular overlapping tiles. These are processed independently and then composed into one result. For each tile, semantic and geometric generalization operations are performed to remove features that are too small from the data set. The generalization approach is composed of several steps consisting of topologic cleaning, aggregation, feature partitioning, identification of mixed feature classes to form heterogeneous classes, and simplification of feature outlines. The workflow will be presented with examples for generating CORINE Land Cover (CLC) features from the high resolution German authoritative land-cover data set of the whole area of Germany (DLM-DE). The results will be discussed in detail, including runtimes as well as dependency of the result on the parameter setting.
AB - The paper presents a scalable approach for generalization of large land-cover data sets using partitioning in a spatial database and fast generalization algorithms. In the partitioning step, the data set is split into rectangular overlapping tiles. These are processed independently and then composed into one result. For each tile, semantic and geometric generalization operations are performed to remove features that are too small from the data set. The generalization approach is composed of several steps consisting of topologic cleaning, aggregation, feature partitioning, identification of mixed feature classes to form heterogeneous classes, and simplification of feature outlines. The workflow will be presented with examples for generating CORINE Land Cover (CLC) features from the high resolution German authoritative land-cover data set of the whole area of Germany (DLM-DE). The results will be discussed in detail, including runtimes as well as dependency of the result on the parameter setting.
UR - http://www.scopus.com/inward/record.url?scp=84883120239&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883120239
SN - 9783642197888
T3 - Lecture Notes in Geoinformation and Cartography
SP - 399
EP - 420
BT - Advancing Geoinformation Science for a Changing World
T2 - 14th AGILE International Conference on Geographic Information Science, AGILE 2011
Y2 - 18 April 2011 through 21 April 2011
ER -