Articles with public access mandates - Itiya AneeceLearn more
Not available anywhere: 1
Introduction to the Python hyperspectral analysis tool (PyHAT)
JR Laura, LR Gaddis, RB Anderson, IP Aneece
Machine learning for planetary science, 55-90, 2022
Mandates: US National Aeronautics and Space Administration
Available somewhere: 2
Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on …
PS Thenkabail, PG Teluguntla, J Xiong, A Oliphant, RG Congalton, ...
Professional Paper, 2021
Mandates: US National Aeronautics and Space Administration
Classifying crop types using two generations of hyperspectral sensors (Hyperion and DESIS) with machine learning on the cloud
I Aneece, PS Thenkabail
Remote Sensing 13 (22), 4704, 2021
Mandates: US National Aeronautics and Space Administration
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