Evelyn Uuemaa

According to our database, Evelyn Uuemaa authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Spatial autocorrelation in machine learning for modelling soil organic carbon.

Alexander Kmoch, Clay Taylor Harrison, Jeonghwan Choi, Evelyn Uuemaa

Ecol. Informatics, 2025

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

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., February, 2024

Adapting machine learning for environmental spatial data - A review.

Marta Jemeljanova, Alexander Kmoch, Evelyn Uuemaa

Ecol. Informatics, 2024

2023

Detection of small-scale landscape elements with remote sensing.

Nikita Murin, Alexander Kmoch, Evelyn Uuemaa

Proceedings of the 26th AGILE Conference on Geographic Information Science, 2023

2022

ML-based water quality modeling at national level in a data-scarce region.

Holger Virro, Alexander Kmoch, Marko Vainu, Evelyn Uuemaa

Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022

Teaching geoinformatics: challenges and opportunities.

Evelyn Uuemaa, Alexander Kmoch

Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022

Applied open-source Discrete Global Grid Systems.

Alexander Kmoch, Oleksandr Matsibora, Ivan Vasilyev, Evelyn Uuemaa

Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022

2020

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

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

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

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

Enhancing Location-Related Hydrogeological Knowledge.

Alexander Kmoch, Evelyn Uuemaa, Hermann Klug, Stewart G. Cameron

ISPRS Int. J. Geo Inf., 2018

2017

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