
Developed a NEON hyperspectral data processing User Defined Function for Google Earth Engine within the fusedio/udfs repository, focusing on enabling efficient retrieval and masking of RGB bands from NEON imagery based on user-defined bounding boxes and date ranges. Leveraged Python and data processing techniques to streamline integration of NEON data into Earth Engine workflows, reducing setup complexity for researchers. The implementation included utilities for fetching RGB data and obtaining Earth Engine credentials, supporting end-to-end data accessibility. This work addressed the need for scalable hyperspectral data processing in Google Earth Engine, delivering a complete feature in a single, traceable commit.
In 2024-11, delivered a new NEON hyperspectral data processing UDF for Google Earth Engine, enabling retrieval and masking of RGB bands from NEON imagery within a defined bounding box and date range, plus utilities to fetch RGB data and obtain Earth Engine credentials. This work enhances data accessibility and processing capabilities, enabling researchers and teams to integrate NEON data into GEE workflows with reduced setup friction.
In 2024-11, delivered a new NEON hyperspectral data processing UDF for Google Earth Engine, enabling retrieval and masking of RGB bands from NEON imagery within a defined bounding box and date range, plus utilities to fetch RGB data and obtain Earth Engine credentials. This work enhances data accessibility and processing capabilities, enabling researchers and teams to integrate NEON data into GEE workflows with reduced setup friction.

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