Publicaciones en colaboración con investigadores/as de Instituto Nacional de Pesquisas Espaciais (14)

2021

  1. Amazonian forest degradation must be incorporated into the COP26 agenda

    Nature Geoscience

  2. Promising advances of amazonian monitoring systems throughout vanguard technology and scientific knowledge

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

2020

  1. Assessment of rainfall influence on sentinel-1 time series on amazonian tropical forests aiming deforestation detection improvement

    2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings

  2. Assessment of rainfall influence on sentinel-1 time series on amazonian tropical forests aiming deforestation detection improvement

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

  3. Author Correction: Benchmark maps of 33 years of secondary forest age for Brazil (Scientific Data, (2020), 7, 1, (269), 10.1038/s41597-020-00600-4)

    Scientific Data

  4. Benchmark maps of 33 years of secondary forest age for Brazil

    Scientific Data

  5. Dynamics of savanna clearing and land degradation in the newest agricultural frontier in Brazil

    GIScience and Remote Sensing, Vol. 57, Núm. 7, pp. 965-984

  6. Exploiting sentinel-1 SAR time series to detect grasslands in the northern Brazilian amazon

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

  7. Mapping the Cerrado’s vegetation cover – A review of remote sensing initiatives

    Revista Brasileira de Cartografia, Vol. 72, pp. 1250-1274

  8. Optimizing near real-time detection of deforestation on tropical rainforests using sentinel-1 data

    Remote Sensing, Vol. 12, Núm. 23, pp. 1-31

  9. Stabilization of sentinel-1 sar time-series using climate and forest structure data for early tropical deforestation detection

    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences