Abstract
Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial SemanticWeb and GIScience communities in terms of the establishment of the (web-based) semantic platform for collaborative question answering and decision-making.
| Original language | English (US) |
|---|---|
| Article number | 179 |
| Journal | ISPRS International Journal of Geo-Information |
| Volume | 5 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1 2016 |
Fingerprint
Keywords
- Change detection
- Geospatial semantic modeling
- Land use and land cover
- Semantic reasoning
- Spatial reasoning
ASJC Scopus subject areas
- Geography, Planning and Development
- Computers in Earth Sciences
- Earth and Planetary Sciences (miscellaneous)
Cite this
An integrated software framework to support semantic modeling and reasoning of spatiotemporal change of geographical objects : A use case of land use and land cover change study. / Li, WenWen; Zhou, Xiran; Wu, Sheng.
In: ISPRS International Journal of Geo-Information, Vol. 5, No. 10, 179, 01.10.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An integrated software framework to support semantic modeling and reasoning of spatiotemporal change of geographical objects
T2 - A use case of land use and land cover change study
AU - Li, WenWen
AU - Zhou, Xiran
AU - Wu, Sheng
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial SemanticWeb and GIScience communities in terms of the establishment of the (web-based) semantic platform for collaborative question answering and decision-making.
AB - Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial SemanticWeb and GIScience communities in terms of the establishment of the (web-based) semantic platform for collaborative question answering and decision-making.
KW - Change detection
KW - Geospatial semantic modeling
KW - Land use and land cover
KW - Semantic reasoning
KW - Spatial reasoning
UR - http://www.scopus.com/inward/record.url?scp=84994108675&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994108675&partnerID=8YFLogxK
U2 - 10.3390/ijgi5100179
DO - 10.3390/ijgi5100179
M3 - Article
VL - 5
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
SN - 2220-9964
IS - 10
M1 - 179
ER -