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  • Presentation | B33H: From Air to Orbit: Integrating Field, Airborne, and Satellite Observations for Terrestrial and Aquatic Ecosystem Monitoring II Poster
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  • B33H-1977: AVUELO Endmember Diversity, Its Relationship with the Dimensions of Biodiversity, and Implications for Current and Future Imaging Spectroscopy from Space
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Author(s):
Natalia Quinteros Casaverde, Southeastern Universities Research Association (First Author, Presenting Author)
Yoseline Angel, NASA Goddard Space Flight Center
Andres Baresch, University of Maryland
Elliott Marsh, University of Wisconsin Madison
Helene Muller-Landau, Smithsonian Tropical Research Institute
Philip Townsend, University of Wisconsin Madison
Philip Brodrick, NASA Jet Propulsion Laboratory, California Institute of Technology
David Schimel, Jet Propulsion Laboratory, California Institute of Technology
Erika Podest, NASA Jet Propulsion Laboratory, California Institute of Technology
John Chapman, Jet Propulsion Laboratory, California Institute of Technology
Michael Bernas, Jet Propulsion Laboratory, California Institute of Technology
Shawn Serbin, NASA Goddard Space Flight Center
Ewa Czyz, Jet Propulsion Laboratory, California Institute of Technology


Measuring Plant Diversity from Space (Plain Language)


The Problem
Scientists want to count different plant species using satellite images, but it's really hard. Satellite cameras can't see fine details, and each pixel in an image usually contains multiple plant types mixed together. Current methods assume each pixel shows only one plant species, which isn't realistic.


The Solution
Researchers are testing 'spectral unmixing' - a method that figures out what different plants are mixed together in each pixel. Think of it like identifying what fruits went into a smoothie by analyzing its color. Each plant type has a unique 'light fingerprint.'


The Study
Using detailed airplane photos of a tropical forest in Panama, scientists simulate what satellites would see. They apply this new method to identify plant types, then compare results with actual ground surveys where researchers walked through the forest counting plants by hand.


Three Goals
1. Test if this method works in complex tropical forests
2. Determine what image quality satellites need
3. Understand how remote sensing relates to traditional biodiversity measurements


Why It Matters
Success could revolutionize global forest monitoring, making it faster and cheaper to track biodiversity changes and focus conservation efforts where needed most.




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