Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil

Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale. Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil. Remote Sensing, 12(7):1108, 2020. [doi]

@article{LaipeltRFKKRN20,
  title = {Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil},
  author = {Leonardo Laipelt and Anderson L. Ruhoff and Ayan Santos Fleischmann and Rafael Henrique Bloedow Kayser and Elisa de Mello Kich and Humberto Ribeiro da Rocha and Christopher M. U. Neale},
  year = {2020},
  doi = {10.3390/rs12071108},
  url = {https://doi.org/10.3390/rs12071108},
  researchr = {https://researchr.org/publication/LaipeltRFKKRN20},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {12},
  number = {7},
  pages = {1108},
}