
In November 2024, Gabriel Ponce developed a NEON hyperspectral data processing User Defined Function for the fusedio/udfs repository, targeting Google Earth Engine workflows. He implemented the feature in Python, focusing on data processing and integration with Earth Engine’s API. The UDF enables users to retrieve and mask RGB bands from NEON imagery within a specified bounding box and date range, addressing the need for streamlined access to hyperspectral data. Gabriel also added utilities for fetching RGB data and obtaining Earth Engine credentials, reducing setup complexity. The work provided a complete, traceable solution that supports scalable data processing for research teams.

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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