TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
Frank Feng, Clement Atzberger, Sadiq Jaffer, Jovana Knežević, Silja Sormunen, Robin Young, Madeline Lisaius, Markus Immitzer, David A. Coomes, Anil Madhavapeddy, A. Blake, Srinivasan Keshav
Abstract
Satellite remote sensing from repeated observations and multiple sensors enables a wide range of downstream applications, including climate modeling, carbon accounting, and strategies for conservation and sustainable land use. However, satellite time series are voluminous, often corrupted by sensor noise, clouds, and atmospheric conditions, and unevenly spaced in time, making them challenging to use.
Topics & Concepts
Remote sensingSatelliteSeries (stratigraphy)Representation (politics)Earth observationEarth surfaceRange (aeronautics)Surface (topology)Computer scienceTime seriesEnvironmental scienceGeologyEarth (classical element)MeteorologySpectral lineClimate changeEarth system scienceAtmosphere (unit)Satellite Image Processing and PhotogrammetryGeophysics and Gravity MeasurementsScientific Research and Discoveries