Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil

Conservation of the Amazon rainforest is essential because it plays an important role in global biodiversity and climate stability. In this work, python was used in data modeling, visualization and remote sensing for analysis of fire hotspots generated from the region where Santana do Araguaia is lo...

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Veröffentlicht in:	International archives of the photogrammetry, remote sensing and spatial information sciences. Jg. XLVIII-3/W3-2024; S. 27 - 33
1. Verfasser:	da Silveira, Jackson Vinícius Mendes
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Gottingen Copernicus GmbH 02.11.2024 Copernicus Publications
Schlagworte:	Biodiversity Change detection Climate models Conservation Data analysis Fires Forest management Graphics Graphs Hot spots Information management Land conservation Land cover Modelling Normalized difference vegetative index Python Rainforests Regression models Remote sensing Risk analysis Vegetation Visualization Brazil Amazon Basin
ISSN:	2194-9034, 1682-1750, 2194-9034
Online-Zugang:	Volltext
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