Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado

Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin, Marcel Schwieder, Marcos A. Rodrigues, Raian Vargas Maretto, Thales Sehn Körting, Pedro J. Leitão, Ieda D. A. Sanches, Patrick Hostert. Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020. pages 1078-1081, IEEE, 2020. [doi]

@inproceedings{BendiniFSRSRMKL20,
  title = {Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado},
  author = {Hugo N. Bendini and Leila M. G. Fonseca and Anderson Reis Soares and Philippe Rufin and Marcel Schwieder and Marcos A. Rodrigues and Raian Vargas Maretto and Thales Sehn Körting and Pedro J. Leitão and Ieda D. A. Sanches and Patrick Hostert},
  year = {2020},
  doi = {10.1109/IGARSS39084.2020.9323184},
  url = {https://doi.org/10.1109/IGARSS39084.2020.9323184},
  researchr = {https://researchr.org/publication/BendiniFSRSRMKL20},
  cites = {0},
  citedby = {0},
  pages = {1078-1081},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6374-1},
}