Nov. 18, 2022, 2:12 a.m. | Fabien H Wagner, Ricardo Dalagnol, Celso HL Silva-Junior, Griffin Carter, Alison L Ritz, Mayumi CM Hirye, Jean PHB Ometto, Sassan Saatchi

cs.LG updates on arXiv.org arxiv.org

Monitoring changes in tree cover for rapid assessment of deforestation is
considered the critical component of any climate mitigation policy for reducing
carbon. Here, we map tropical tree cover and deforestation between 2015 and
2022 using 5 m spatial resolution Planet NICFI satellite images over the state
of Mato Grosso (MT) in Brazil and a U-net deep learning model. The tree cover
for the state was 556510.8 km$^2$ in 2015 (58.1 % of the MT State) and was
reduced to …

arxiv astro brazil deep learning deforestation images mapping planet satellite satellite images state

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US