GRASS Image Processing Environment. Application to evapotranspiration Direct Readout
Abstract
The new generation of graphic cards are having on-board what is called a Graphical Processing Unit (GPU).
These GPUs, have commonly hundreds of processing cores, very high speed parallel architechture, and RAM already in the Gigabyte range.
Derived essentially by the need of processing virtual representation of reality in the gaming industry,
they are now also having general physics accelerated algorithms for environmental modeling like fluids dynamics.
General-Purpose computation on GPUs (GPGPU) is a relatively new type of computation possibility derived
from the increasingly varied types of computations available on those graphic cards.
This article details the simplest interaction level of a CUDA-enabled GPGPU with GDAL library to process raster imagery.
These GPUs, have commonly hundreds of processing cores, very high speed parallel architechture, and RAM already in the Gigabyte range.
Derived essentially by the need of processing virtual representation of reality in the gaming industry,
they are now also having general physics accelerated algorithms for environmental modeling like fluids dynamics.
General-Purpose computation on GPUs (GPGPU) is a relatively new type of computation possibility derived
from the increasingly varied types of computations available on those graphic cards.
This article details the simplest interaction level of a CUDA-enabled GPGPU with GDAL library to process raster imagery.
Keywords
GIPE, image processing, satellite, Landsat, Modis, evapotranspiration, SEBAL, Hargreaves, Priestley-Taylor
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