53 citations · 66 across the 2 of their papers we have counts for
5 papers · 1 filter
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models
Philipp M. Maier, Sina Keller
Water is a key component of life, the natural environment and human health. For monitoring the conditions of a water body, the chlorophyll a concentration can serve as a proxy for…
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Felix M. Riese, Sina Keller
Soil texture is important for many environmental processes. In this paper, we study the classification of soil texture based on hyperspectral data. We develop and implement three 1…
Machine learning regression on hyperspectral data to estimate multiple water parameters
Philipp M. Maier, Sina Keller
In this paper, we present a regression framework involving several machine learning models to estimate water parameters based on hyperspectral data. Measurements from a multi-senso…
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
Sina Keller, Felix M. Riese, Johanna Stötzer +2
In this paper, we investigate the potential of estimating the soil-moisture content based on VNIR hyperspectral data combined with LWIR data. Measurements from a multi-sensor field…
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
Felix M. Riese, Sina Keller
In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data…