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Analyse Satellite Imagery And Process Remote Sensing Data By Cat Each case study includes a brief introduction to the topic, a step by step guide to using google earth engine to analyze satellite imagery, and a discussion of the results. Introduction this document lists resources for performing deep learning on satellite imagery. to a lesser extent classical machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. We outline the development of the cats “heritage” level 2 software and data products and describe the modifications made to the input cats data stream and the calipso level 2 processing algorithms in order to successfully interface two disparate data processing systems. See how computer vision and remote sensing enhance satellite imagery for real time global solutions in agriculture, urban planning, and disaster management.
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