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GlobeLand30, the world’s first 30m-resolution global land cover data set, has recently been issued for research on global change at a fine resolution. Given the accuracy of GlobeLand30 data may show s...
Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, un...
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...
Thematic mapping is one of the major application fields of remote sensing techniques. Data quality of the thematic data was concerned about. At present, there are a lot of researches that focus on the...
Countryside agencies in the UK are interested in how to generate a range of Boolean maps whilst controlling uncertainties in ways that are appropriate to different landscape questions. This work illus...
In analogy to spatial and temporal reference systems, semantic reference systems have been proposed to support interoperation between information communities. Such reference systems provide the struct...
This contribution concentrates on the determination of thematic uncertainty after the classification process. It is shown that in this context – in particular when evaluating remotely sensed scenes sh...
Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of ...
SPATIO-TEMPORAL METHODS TO REDUCE DATA UNCERTAINTY IN RESTRICTED MOVEMENT ON A ROAD NETWORK.
"You cannot step into the same river twice". Perhaps this ancient quote is the best phrase to describe the dynamic nature of the earth system. If we regard the earth as a several mixed systems, we wan...
The classification of remotely sensed data and the follow-up change detection and analysis inherit the problems of large amounts of and possibly uncertain, incomplete and contradictory data, as well a...
Classified remotely sensed data serves as the basis for various types of city models. Since the requirements concerning the correctness of these models are rapidly growing, the demands for a significa...
Building urban growth models typically involves a process of historic calibration based on historic time series of land-use maps, usually obtained from satellite imagery. Both the remote sensing dat...
A Bayesian method was used to fit the Shuttleworth–Wallace model to half-hourly measurements ofevapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibeta...

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