Evaluation Challenges for Geospatial ML

31 March 2023

Papers citing "Evaluation Challenges for Geospatial ML"

9 / 9 papers shown

Title
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning Esther Rolf Konstantin Klemmer Caleb Robinson Hannah Kerner 26 36 0 02 Feb 2024
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It Adam Lilja Junsheng Fu Erik Stenborg Lars Hammarstrand 21 18 0 11 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 32 10 0 08 Dec 2023
Reflections from the Workshop on AI-Assisted Decision Making for Conservation Lily Xu Esther Rolf Sara Beery J. Bennett T. Berger-Wolf ... P. Moorcroft Jonathan Palmer Andrew Perrault D. Thau Milind Tambe 42 3 0 17 Jul 2023
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? Hannah Kerner C. Nakalembe Adam X. Yang Ivan Zvonkov Ryan McWeeny Gabriel Tseng I. Becker-Reshef 17 14 0 05 Jul 2023
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy Emily L. Aiken Esther Rolf J. Blumenstock 27 6 0 02 May 2023
Geostatistical Learning: Challenges and Opportunities J. Hoffimann M. Zortea B. Carvalho Bianca Zadrozny 14 22 0 17 Feb 2021
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 92 122 0 16 Oct 2020
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction H. Meyer C. Reudenbach Stephan Wöllauer T. Nauss 43 289 0 21 Aug 2019