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

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 implem

The interferometric synthetic aperture radar (InSAR) is able to reconstruct the Earth's surface topography with a meter-level accuracy when two-dimensional phase unwrapping (PU) is properly implemented.The two-stage programming approach (TSPA) can convert the ill-posed PU problem into a well-posed problem by integrating perpendicular baselin

In the present study we used the first rock glacier inventory for the entire French Alps to model spatial permafrost distribution in the region.Climatic and topographic data evaluated at the rock glacier locations were used as predictor variables in a Generalized Linear Model.Model performances are strong, suggesting that, in agreement with several

Mixture tuned matched filtering (MTMF) image classification capitalizes on the increasing spectral and spatial resolutions of available hyperspectral image data to identify the presence, and potentially the abundance, of a given cover type or endmember.Previous studies using MTMF have relied on extensive user input to obtain a reliable classificati