Philipp Maier
Philipp Maier
Verified email at kit.edu
TitleCited byYear
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity
S Keller, P Maier, F Riese, S Norra, A Holbach, N Börsig, A Wilhelms, ...
International journal of environmental research and public health 15 (9), 1881, 2018
62018
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
52018
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
52018
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
32018
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
32018
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
12019
Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll Concentration of Several Inland Waters
PM Maier, S Keller
arXiv preprint arXiv:1905.12563, 2019
2019
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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