Philipp Maier
Philipp Maier
Verified email at kit.edu
Title
Cited by
Cited by
Year
Hyperspectral data and machine learning for estimating CDOM, chlorophyll a, diatoms, green algae and turbidity
S Keller, PM Maier, FM Riese, S Norra, A Holbach, N Börsig, A Wilhelms, ...
International journal of environmental research and public health 15 (9), 1881, 2018
192018
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
S Keller, FM Riese, J Stötzer, PM Maier, S Hinz
arXiv preprint arXiv:1804.09046, 2018
82018
Estimating chlorophyll a concentrations of several inland waters with hyperspectral data and machine learning models
PM Maier, S Keller
arXiv preprint arXiv:1904.02052, 2019
62019
INVESTIGATIONS ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LAND-COVER/LAND-USE CLASSIFICATION.
M Weinmann, PM Maier, J Florath, U Weidner
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018
62018
Machine learning regression on hyperspectral data to estimate multiple water parameters
PM Maier, S Keller
2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018
62018
Estimation of Chlorophyll a, Diatoms and Green Algae Based on Hyperspectral Data with Machine Learning Approaches
PM Maier, S Hinz, S Keller
Tagungsband der 37, 2018
42018
Application of different simulated spectral data and machine learning to estimate the chlorophyll a concentration of several inland waters
PM Maier, S Keller
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
32019
Coupling Langmuir with Michaelis-Menten—A practical alternative to estimate Se content in rice?
AK Nothstein, E Eiche, M Riemann, P Nick, P Maier, A Tenspolde, ...
PloS one 14 (4), e0214219, 2019
2019
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