Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency. - Alby D. Rocha; Thomas A. Groen; Andrew K. Skidmore; Roshanak Darvishzadeh; Louise Willemen (Remote. Sens., 2018)

Role of Sampling Design When Predicting Spatially Dependent Ecological Data With Remote Sensing. - Alby D. Rocha; Thomas A. Groen; Andrew K. Skidmore; Louise Willemen (IEEE Trans. Geosci. Remote. Sens., 2021)

Modeling Urban Evapotranspiration with Sentinel-2, Open Geodata, and Machine Learning in Summertime. - Stenka Vulova; Alby Duarte Rocha; Fred Meier; Hamideh Nouri; Christian Schulz 012; Birgit Kleinschmit (IGARSS, 2022)

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning. - Veronika Döpper; Alby D. Rocha; Katja Berger; Tobias Gränzig; Jochem Verrelst; Birgit Kleinschmit; Michael Förster (Int. J. Appl. Earth Obs. Geoinformation, 2022)