Aerial Data Collection

Aerial data collection refers to the process of gathering information, measurements, and images from above the Earth's surface using various aerial platforms such as drones, airplanes, helicopters, or satellites. This method allows for the collection of data over large areas quickly and efficiently, providing valuable insights for a wide range of applications including mapping, surveying, agriculture, environmental monitoring, urban planning, and disaster response.

External Links

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Open Graph Benchmark | A collection of benchmark datasets, data-loaders and evaluators for graph machine learning in PyTorch.
Data-centric Machine Learning Research | The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research.
Maas Database Applications GmbH – maas.com – Expert Data Modeling – Code Generation – Long Life Database Applications
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GRAX | Salesforce Data Protection for Data Lifecycle Management
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Centre for Environmental Data Analysis - Centre for Environmental Data Analysis
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Location Data | locationdata.com
Theodo Data AI | Experts en Data et IA
Fortra's Data Classification | Data Protection
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Shipyard - Data Orchestration for Your Data Stack
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The Data Privacy Group | Data Protection Services For Your Business
Climate Action Data Trust: Connecting Carbon Markets Through Open Data
Industry-Leading VIN Decoding Automotive Data Solutions | DataOne Software



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Aerial Data Collection