The objective of this study is to simulate and validate temporal and spatial changes of land use/cover in a short time
period based on the Markov cellular automata (Markov-CA) model that combines Markov chain analysis and cellular
automata models. Aim to this task, this paper first analyzed the land use/cover change (LUCC) of an urban area in 1997
and 2000 and computed transition probabilities using Markov chain. Then Markov-CA model was employed to simulate
urban land use/cover in 2002 and a validation was followed by using actual land use map interpreted from the satellite
image captured in the same year. Experimental result shows this model is reliable with an acceptable overall accuracy
(86.52%) and Kappa coefficient (0.79), which suggests that LUCC in urban within a short time period could be modeled
and predicted by Markov-CA model.
In recent decades, research on survey for urban planning has become an important issue. Monitoring the nature condition
of urban is an important precondition for urban planning. This paper integrates Geographical Information System (GIS)
and remote sensing (RS) to study land use/cover change and urbanization trends in Hangzhou urban area from 1976 to
2005. The study explores the temporal and spatial characteristics of urban expansion and land use/cover change from
1976 to 2005. The remotely detected land use/cover change shows that the land use/cover was largely changed.
KEYWORDS: Image processing, Web services, Remote sensing, Process modeling, Data processing, Prototyping, Control systems, Visualization, Process control, Human-machine interfaces
How to use web services quickly and efficiently is quite important in geospatial applications. A possible solution of
sharing and integrating geospatial resources in opening web environment is to chain distributed and diversified geodata
and geoprocessing by using web services. This paper presents an approach for chaining geoprocessing by employing
Web Processing Service (WPS) and Business Process Execution Language for Web Services (BPEL4WS) under the
service-oriented architecture (SOA) and Open Geospatial Consortium (OGC) standard. Workflow control model and
SQL Server based register center are used in a prototype system for chaining geoprocessing web services which have
been performed functionality decomposition and packed by using extended WPS.
KEYWORDS: Data modeling, Web services, Pollution, Data processing, Plasma display panels, Internet, Information technology, Earth sciences, Transparency, Artificial intelligence
Spatial service chain composed by multiple spatial services, which distributed on the internet, can realize specific,
complicated spatial information processing task. This chain may be involved in bad stability, low usability and low
efficiency because of service stateless and variability of service operation environment. In this paper, we abstract the
spatial information service to form the Spatial Service Agent (SSA), and attach the spatial information data and
processing service to become operation capability of SSA. After introduce contract and policy which are used to restrict
and instruct the behavior of the SSA, multi-SSA based spatial information services flow expressed by half-ordered
contract set which formed by SSA's negotiation. Through assign specific contract operation rule to each contract and
indicate the prerequisite of cooperation, time consuming, and accomplishment state and so on, we can accurately get the
service execution state of each step for spatial information services flow monitoring and exception handling.
The high resolution images are taken as the information source to attempt the inversion detection of the spatial resources
use in the investigation area. Through visual interpretation of geometry shape of the remote sensing data, inquiry of
historical archives of city planning department and in situ investigation, confirmation, analysis of each region, the
distinction pattern of relations between the structure height, the structure style and the depth of the foundation ditch is
established. Afterwards, the spatial distribution of the construction in Hangzhou urban area is interpreted. On the basis
of the foundation pattern used by the construction and correlating distinction pattern, the used subsurface space structure
is determined with the help of GIS spatial statistical analysis technology. The result can provide macroscopic
information for investigating usable subsurface space resources. It also can assist the engineering geology and
hydrology geology data to establish full and accurate analysis of subsurface space use, which provide the policy-making
suggestion for the cultural relics preservation and the important project using subsurface space such as the subway
construction.
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