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Environmental sustainability research is dependent on accurate land cover information. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal characteristics and the new data distribution policy, most existing land cover datasets are derived from a pixel-based, single-date multi-spectral remotely sensed image with an...
Availability of accurate land cover information over large areas is essential to the global environment sustainability; digital classification using medium-resolution remote sensing data would provide an effective method to generate the required land cover information. However, low accuracy of existing per-pixel based classification methods for medium-resolution data is a fundamental limiting factor...
Modeling the dynamic interactions within an ecosystem and among ecosystems is essential to the sustainability of the biosphere and remote sensing is a proven technology that can effectively map and characterize cultural and natural landscapes. However, the lack of scalable and reliable algorithms and associated implementations to extract implicit patterns in remotely sensed images has severely limited...
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