Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

Ana B. Ruescas, Martin Hieronymi, Gonzalo Mateo-Garcia, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls. Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. Remote Sensing, 10(5):786, 2018. [doi]

@article{RuescasHMKKC18,
  title = {Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data},
  author = {Ana B. Ruescas and Martin Hieronymi and Gonzalo Mateo-Garcia and Sampsa S. Koponen and Kari Y. Kallio and Gustau Camps-Valls},
  year = {2018},
  doi = {10.3390/rs10050786},
  url = {https://doi.org/10.3390/rs10050786},
  researchr = {https://researchr.org/publication/RuescasHMKKC18},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {10},
  number = {5},
  pages = {786},
}