Completeness and classification correctness of features on topographic maps: An analysis of the estonian basic map. - Kiira Mõisja; Tõnu Oja; Evelyn Uuemaa; Jordan T. Hastings (Trans. GIS, 2017)

Enhancing Location-Related Hydrogeological Knowledge. - Alexander Kmoch; Evelyn Uuemaa; Hermann Klug; Stewart G. Cameron (ISPRS Int. J. Geo Inf., 2018)

The Implications of Field Worker Characteristics and Landscape Heterogeneity for Classification Correctness and the Completeness of Topographical Mapping. - Kiira Mõisja; Evelyn Uuemaa; Tõnu Oja (ISPRS Int. J. Geo Inf., 2018)

Grounded Design and GIScience - A framework for informing the design of geographical information systems and spatial data infrastructures. - Alexander Kmoch; Evelyn Uuemaa; Hermann Klug (PeerJ Prepr., 2019)

Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran. - Omid Rahmati; Saleh Yousefi; Zahra Kalantari; Evelyn Uuemaa; Teimur Teimurian; Saskia Keesstra; Tien-Dat Pham; Dieu Tien Bui (Remote. Sens., 2019)

Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM). - Evelyn Uuemaa; Sander Ahi; Bruno Montibeller; Merle Muru; Alexander Kmoch (Remote. Sens., 2020)

Applied open-source Discrete Global Grid Systems. - Alexander Kmoch; Oleksandr Matsibora; Ivan Vasilyev; Evelyn Uuemaa (AGILE Conf., 2022)

Teaching geoinformatics: challenges and opportunities. - Evelyn Uuemaa; Alexander Kmoch (AGILE Conf., 2022)

ML-based water quality modeling at national level in a data-scarce region. - Holger Virro; Alexander Kmoch; Marko Vainu; Evelyn Uuemaa (AGILE Conf., 2022)

Detection of small-scale landscape elements with remote sensing. - Nikita Murin; Alexander Kmoch; Evelyn Uuemaa (AGILE Conf., 2023)

Adapting machine learning for environmental spatial data - A review. - Marta Jemeljanova; Alexander Kmoch; Evelyn Uuemaa (Ecol. Informatics, 2024)

Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications. - Kaire Toming; Hui Liu; Tuuli Soomets; Evelyn Uuemaa; Tiina Nõges; Tiit Kutser (Remote. Sens., 2024)

Predicting Household Income with Sentinel and Street View Imagery: A Comparative Study across Amsterdam, Sydney, and New York. - Oleksandr Karasov; Evelyn Uuemaa; Olle Järv; Monika Kuffer; Tiit Tammaru (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Spatial autocorrelation in machine learning for modelling soil organic carbon. - Alexander Kmoch; Clay Taylor Harrison; Jeonghwan Choi; Evelyn Uuemaa (Ecol. Informatics, 2025)