da Silveira, J. V. M. (2024). Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 48(3/w3), 27-33. https://doi.org/10.5194 sprs-archives-XLVIII-3-W3-2024-27-2024
ISO-690 (author-date, English)DA SILVEIRA, Jackson Vinícius Mendes, 2024. Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 15 August 2024. Vol. 48, no. 3/w3, p. 27-33. DOI 10.5194 sprs-archives-XLVIII-3-W3-2024-27-2024.
Modern Language Association 9th editionda Silveira, J. V. M. „Leveraging Python for Data Modeling, Visualization and Remote Sensing of Fire Hotspots in the Amazon: A Case Study of Santana Do Araguaia, Brazil.“. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Bd. 48, Nr. 3/w3, August 2024, S. 27-33, https://doi.org/10.5194 sprs-archives-XLVIII-3-W3-2024-27-2024.
Mohr Siebeck - Recht (Deutsch - Österreich)da Silveira, Jackson Vinícius Mendes: Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil., International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences 2024, 27-33.
Emerald - Harvardda Silveira, J.V.M. (2024), „Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil.“, International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 48 No. 3/w3, S. 27-33.