How to Cite

If you use this book or any individual chapter, please cite using the DOIs below.

Book

Mayer, T., Bhandari, B., & Saah, D. (2026). EarthRISE Applied Artificial Intelligence and Deep Learning Book. Zenodo. https://doi.org/10.5281/zenodo.20547797

DOI

BibTeX:

@book{mayer2026earthrise,
  title     = {EarthRISE Applied Artificial Intelligence and Deep Learning Book},
  author    = {Mayer, Tim and Bhandari, Biplov and Saah, David},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20547797},
  url       = {https://doi.org/10.5281/zenodo.20547797}
}

Chapters

#	Chapter	Authors	DOI
3.1	Crop Mapping: Rice Mapping in Bhutan	Bhandari, B., & Mayer, T.	10.5281/zenodo.20547799
3.2	Selective Logging Detection with Deep Learning and Very-High Resolution Imagery	Yupanqui, O., & Quispe, M.	10.5281/zenodo.20547803
3.3	Clay Deforestation Segmentation Model	Poortinga, A., dela Torre, D. M., Saisaward, C., Wafiq, M. W., Weerapanpisit, P., Teck, V., Suaruang, W., & Khamnoi, W.	10.5281/zenodo.20547805
5.1	Phenology-Guided Deep Learning with Uncertainty Quantification for Soybean Yield Prediction	Zhang, C., & Diao, C.	10.5281/zenodo.20547807
6.1	Understanding Active Fire Detection Uncertainty with Bayesian Neural Networks	Harvie, J. E., Zammit, K. E., Engle, B. T., Oliver, J. A., Johnston, L. M., Cantin, A. S., & Crowley, M. A.	10.5281/zenodo.20547811
10.1	Evaluating Foundation Models Trained with Earth Observation Data	Thomas, L., Leong, W. J., Wiesmann, D., & Ranjan, S.	10.5281/zenodo.20547814