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s2p
Publicraster-functions
Publics2p-1
PublicThis repository is not maintained, please use https://github.com/centreborelli/s2p instead.awesome-datascience
Publiccustom-scripts
PubliccuFSDAF
PubliccuFSDAF is an enhanced FSDAF algorithm parallelized using GPUs. In cuFSDAF, the TPS interpolator is replaced by a modified Inverse Distance Weighted (IDW) interpolator. Besides, computationally intensive procedures are parallelized using the Compute Unified Device Architecture (CUDA), a parallel computing framework for GPUs. Moreover, an adaptiv…- A spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green spaces, parks, squares, trails, courtyards, and other natural spaces), by considering a set of spatial data that represents the infrastructural and socio-economic factors, namely the OS-CA (Open Space Cellular Autom…
raster-deep-learning
Publicelevation-gp-python
PublicGeoCA
Publiceo-flow
Public- The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.
SuperCugersMappingSystem
PubliccuSTSG
PubliccuSTSG is a GPU-enabled spatial-temporal Savitzky-Golay (STSG) program based on the Compute Unified Device Architecture (CUDA). Firstly, the cosine similarity between time-series data of adjacent years is used to identify similar years without land cover type changes, hence to exclude the years with inaccurate quality flags from generating NDVI …geemap
Publicearthengine-py-notebooks
PublicTorchCRF
Publicmask-to-polygons
Publicdfc2019
PublicPy4Geo
PublicISIS3
Public