Long-term sea-level projections with two versions of a global climate model of intermediate complexity and the corresponding changes in the Earth's gravity field. - Oleg Makarynskyy; Michael Kuhn 005; Will E. Featherstone (Comput. Geosci., 2007)

Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture. - Soo-See Chai; Jeffrey P. Walker; Oleg Makarynskyy; Michael Kuhn 005; Bert Veenendaal; Geoff A. W. West (Remote. Sens., 2010)

Study of the Earth's short-scale gravity field using the ERTM2160 gravity model. - Christian Hirt; Michael Kuhn 005; Sten Claessens; Roland Pail; Kurt Seitz; Thomas Gruber 003 (Comput. Geosci., 2014)

A Sequential Monte Carlo Framework for Noise Filtering in InSAR Time Series. - Mehdi Khaki; Mick S. Filmer; Will E. Featherstone; Michael Kuhn 005; Luyen K. Bui; Amy L. Parker (IEEE Trans. Geosci. Remote. Sens., 2020)

Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models. - Hoa Thi Pham; Joseph L. Awange; Michael Kuhn 005 (Sensors, 2022)

Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices. - Hoa Thi Pham; Joseph L. Awange; Michael Kuhn 005; Binh Van Nguyen; Luyen K. Bui (Sensors, 2022)

Sensing the global CRUST1.0 Moho by gravitational curvatures of crustal mass anomalies. - Xiao-Le Deng; Wenbin Shen 001; Michael Kuhn 005; Christian Hirt; Roland Pail (Geo spatial Inf. Sci., 2024)