In case you missed the 9 July Data Use Club session on Integrating remotely sensed data with GBIF mediated data, you can visit the session page to watch the full recording of the session and view the links to the primers and notebooks.
The 90-minute session featured Kit Lewers, PhD Student at the University of Colorado Boulder in the Information Science Department and a graduate student researcher in the BioSpheric Science Lab at NASA Goddard Space Flight Center, who explored leveraging remote sensing data alongside GBIF’s biodiversity datasets to demonstrate how GBIF APIs can be used in conjunction with remote sensing datasets to enhance analyses.
Using Python and various APIs, Kit provided two tutorials and accompanying notebooks on how to access airborne, spaceborne, and imaging spectroscopy and thermal sensor datasets.
The session also featured Kelsey Huelsman, graduate student at University of Virginia: Charlottesville, and Claire Lunch, data scientist at the National Ecological Observatory Network (NEON).
Below, we’ve summarized some of the questions from the session and provided the pertinent links shared. We hope you use this thread to continue the discussion.
Thanks for a great session!
Examples
Analyzing Vegetation Health in South Africa Using Satellite Imagery and Species Data
Understanding multispectral imagery primer
Exploring Airborne Spectroscopy and Burn Impact on Carabid Beetles in the Great Smoky Mountains
Links
ESIP’s website: https://www.esipfed.org/
BioData Cluster Page: Biological Data Standards Cluster - Earth Science Information Partners (ESIP)
NASA BioSCape: https://www.bioscape.io/
NASA topics: Data Pathfinders by Topic | NASA Earthdata
Google Earth Engine community: GitHub - google/earthengine-community: Tutorials and content created by Earth Engine users, for Earth Engine users
Google Earth Engine tutorials: Tutorials | Google Earth Engine | Google for Developers
NEON Data Catalog NEON | Explore Data Products
NEON getting started data tutorial series Get Started with NEON Data: A Series of Data Tutorials | NSF NEON | Open Data to Understand our Ecosystems
NEON Google Earth Engine tutorial series Intro to AOP Data in Google Earth Engine (GEE) Tutorial Series | NSF NEON | Open Data to Understand our Ecosystems
Beetle data product info page NEON | Data Product
Questions
What are ROIs and AOIs?
Regions of Interest and Areas of Interest are often used interchangeably
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What is AVIRIS?
Airborne Visible / Infrared Imaging Spectrometer
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What console is used in the demos?
The demos use a Jupyter notebook and the IDE platform is Visual Studio Code.
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Not sure, with Visual Studio code. I’m used to with GEE in browser only. Can we also import GBIF data using pygbif in GEE browser? I usually do extract and clean GBIF’s data in R but working with too many spatial layers in R rgbif is too tiresome [memory overtaking problem with R].
There isn’t a way to integrate it like with both python APIs, but you can import a feature collection via a csv in the browser based GEE JavaScript console. This would be a good place to start: FeatureCollection Overview | Google Earth Engine | Google for Developers.