Ecological Dissimilarity Matters More Than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning. Zhou, B., Okin, G. S., Zhang, J., Savage, S. L., Cole, C. J., & Duniway, M. C. IEEE Trans. Geosci. Remote. Sens., 62:1–11, 2024.
Ecological Dissimilarity Matters More Than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning [link]Paper  doi  bibtex   
@article{DBLP:journals/tgrs/ZhouOZSCD24,
  author       = {Bo Zhou and
                  Gregory S. Okin and
                  Junzhe Zhang and
                  Shannon L. Savage and
                  Christopher J. Cole and
                  Michael C. Duniway},
  title        = {Ecological Dissimilarity Matters More Than Geographical Distance When
                  Predicting Land Surface Indicators Using Machine Learning},
  journal      = {{IEEE} Trans. Geosci. Remote. Sens.},
  volume       = {62},
  pages        = {1--11},
  year         = {2024},
  url          = {https://doi.org/10.1109/TGRS.2024.3404240},
  doi          = {10.1109/TGRS.2024.3404240},
  timestamp    = {Mon, 10 Jun 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tgrs/ZhouOZSCD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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