Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery
Tropical deforestation frontiers continue to expand at alarming rates, but their fine-scale
temporal patterns (eg, start timing, patch forming speed, temporal clustering within a year) …
temporal patterns (eg, start timing, patch forming speed, temporal clustering within a year) …
The potential distribution of Cereus (Cactaceae) species in scenarios of climate crises
Climate change represents one of the most critical threats to global biodiversity, impacting
species worldwide. The family Cactaceae, found predominantly in xeric habitats, is …
species worldwide. The family Cactaceae, found predominantly in xeric habitats, is …
[HTML][HTML] A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands
The integrated use of remote sensing and machine learning stands out as a powerful and
well-established approach for dealing with various environmental monitoring tasks …
well-established approach for dealing with various environmental monitoring tasks …
Predicting the pulse of the Amazon: Machine learning insights into deforestation dynamics
F Dias, N Suhadolnik, H Camargo, S Da Silva - Journal of Environmental …, 2024 - Elsevier
This study aims to analyze deforestation in the Brazilian Amazon from 1999 to 2020 using
machine learning techniques to assess 16 critical factors. Our approach leverages the …
machine learning techniques to assess 16 critical factors. Our approach leverages the …
[PDF][PDF] Deforestation and forest degradation in the Amazon-Update for year 2022 and link to soy trade
R Beuchle, C Bourgoin, L Crepin, F Achard… - 2023 - researchgate.net
Tropical forests are fundamental for the mitigation of global warming and for containing
immense biodiversity, thus the knowledge about where, how, and why they change is of …
immense biodiversity, thus the knowledge about where, how, and why they change is of …
[PDF][PDF] Análise do desmatamento na Amazônia brasileira: uma aplicação de aprendizado de máquina
FC Dias - Monografia (MBA em Inteligência Artificial e Big Data) …, 2023 - bdta.abcd.usp.br
RESUMO DIAS, FC Análise do desmatamento na Amazônia brasileira: uma aplicação de
aprendizado de máquina. 2023. 58p. Monografia (MBA em Inteligência Artificial e Big Data) …
aprendizado de máquina. 2023. 58p. Monografia (MBA em Inteligência Artificial e Big Data) …
[ALINTI][C] Mudanças no uso e cobertura da terra e os seus impactos nos serviços ecossistêmicos e na saúde humana no município de Juína, Amazônia Meridional
JBG dos Santos, MLA Nunes, SMA da Silva… - Revista Brasileira de …, 2024