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...

Full description

Saved in:

Bibliographic Details
Published in:	International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-3/W3-2024; pp. 27 - 33
Main Author:	da Silveira, Jackson Vinícius Mendes
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 02.11.2024 Copernicus Publications
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!