Treffer: Utilizing geospatial artificial intelligence for remote sensing applications.
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The article discusses the advancements in geospatial artificial intelligence (Geo AI) and its applications in remote sensing. Geo AI combines spatial analysis and AI to extract meaningful insights from large geospatial datasets. It can enhance the accuracy, efficiency, and scalability of remote sensing data processing and analysis in various fields such as agriculture, forestry, environmental monitoring, urban planning, and disaster management. The article also mentions challenges in this area, such as limited training data availability and the need for robust models. Commercial tools like Geo AI toolbox and ArcGIS API for Python are available for training and utilizing models for classification, regression, and natural language processing. The article concludes with a call for papers on utilizing Geo AI for remote sensing applications. [Extracted from the article]
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