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Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems

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ABSTRACT

In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning.

No MeSH data available.


Land use map of Taips County in 1995, (a) Synthetical representation of land uses; (b) Representation of the land uses by binary values of 1 or 0, b0 to b5.
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f3-sensors-08-00620: Land use map of Taips County in 1995, (a) Synthetical representation of land uses; (b) Representation of the land uses by binary values of 1 or 0, b0 to b5.

Mentions: The original land use map of Taips County (Figure 3a) was derived from Landsat Tematic Mapper images in 1995 and then land uses were reclassified and expressed in a special representation scheme. In the new land use scheme, the land use type is expressed by binary values of 1 or 0 for each grid cell of 100 × 100 meters to show the existence/non-existence of that kind of land use. The dependent variables for the spatial regression between land use and influencing factors in Taips County are listed in Table 1 and Figure 3b.


Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems
Land use map of Taips County in 1995, (a) Synthetical representation of land uses; (b) Representation of the land uses by binary values of 1 or 0, b0 to b5.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927519&req=5

f3-sensors-08-00620: Land use map of Taips County in 1995, (a) Synthetical representation of land uses; (b) Representation of the land uses by binary values of 1 or 0, b0 to b5.
Mentions: The original land use map of Taips County (Figure 3a) was derived from Landsat Tematic Mapper images in 1995 and then land uses were reclassified and expressed in a special representation scheme. In the new land use scheme, the land use type is expressed by binary values of 1 or 0 for each grid cell of 100 × 100 meters to show the existence/non-existence of that kind of land use. The dependent variables for the spatial regression between land use and influencing factors in Taips County are listed in Table 1 and Figure 3b.

View Article: PubMed Central - PubMed

ABSTRACT

In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning.

No MeSH data available.