Module 5 Lecture 2 Data Processing and Information Extraction for Luojia Satellites
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...ctical skills to access, process, and apply Chinese Earth observation satellite data — including optical, SAR, ocean, meteorological, and nighttime light imagery — to real-wor...
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...how its powerful search table allows you to refine, combine, and analyse patent data with precision. Through clear explanations and practical demonstrations, you’ll learn how ...
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Learn how validation rules are reviewed when entering data into DHIS2 - serving as one of the primary methods for preventing data quality issues when...
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After quality-checking your collected data in the Phenotypic Data Manager, the next step is to send them for single- or multi-occurre...
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...t part of managing experiments is assessing the quality of collected plot trait data. The Phenotypic Data Manager tool, or PDM, lets users explore and check the quality of the...
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...s) and Laurel Eckhouse (https://www.linkedin.com/in/laureleckhouse) on SNAP PER Data Analysis and Modeling, highlighting our approach to improving SNAP error handling by analy...
Lecture 25: Advanced lecture focuses on the Architectural Design of climate data systems
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It teaches participants to conceptualize and build end-to-end data pipelines that automate the flow of information from regional databases like CliDE into op...
Lecture 24: Data Format Conversion: Converting for Input
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Guides users through the technical process of converting data between formats to ensure compatibility across different climate models and tools
Lecture 23: Integration I: Automated Conditional Data Extraction
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This advanced lecture in the "Climate Modeling & System Analysis" module teaches participants to engineer automated pipelines that transition from manual handling to code-driven workflows. It i...
Lecture 22: Integration I: Script-based DB Connection & Querying
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... handling the "Double Penalty" problem in high-resolution models and automating database interactions.
Lecture 13: Data Transformation: Structuring Tidy Data for Analysis
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Focuses on the principles of "Tidy Data" to ensure datasets are structured efficiently for complex analytical workflows
Lecture 5: Dataframe Operations for Operational Data Handling
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Teaches participants how to build automated pipelines to ingest CliDE data, handle specific Pacific date formats, and implement strict WMO "3/5 rules" for missing da...
Lecture 3: Algorithm & Logic Design for Climate Data Processing
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... core programming logic, such as conditionals and loops, required to filter raw data and automate Quality Control (QC) for the CliDE database
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Speed up your data annotation with reusable regex and dictionary-based pre-annotation rules that extract enti...
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