Saraiva, Marciano; Protas, Églen; Salgado, Moisés; Souza; Carlos. Automatic Mapping of Center Pivot Irrigation Systems from Satellite Images Using Deep Learning. Remote Sensing, 7 February 2020. https://doi.org/10.3390/rs12030558 Abstract: The availability of freshwater is becoming a global concern. Because agricultural consumption has been increasing steadily, the mapping of irrigated areas is key for supporting the monitoring
Bullock, Eric L.; Woodcock, Curtis E.; Souza Jr., Carlos; Olofsson, Pontus. Satellite-based estimates reveal widespread forest degradation in the Amazon. Global Change Biology, 05 February 2020. https://doi.org/10.1111/gcb.15029 Abstract: Anthropogenic and natural forest disturbance cause ecological damage and carbon emissions. Forest disturbance in the Amazon occurs in the form of deforestation (conversion of forest to non-forest
Parente, Leandro; Taquary, Evandro; Silva, Ana Paula; Souza, Carlos. Ferreira, Laerte. Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data. Remote Sensing, 3 December 2019. https://doi.org/10.3390/rs11232881 Abstract: The rapid growth of satellites orbiting the planet is generating massive amounts of data for Earth science applications. Concurrently, state-of-the-art deep-learning-based algorithms and cloud
Brito, B., Barreto, P., Brandão Jr, A., Baima, S., Gomes, P. H. Stimulus for land grabbing and deforestation in the Brazilian Amazon. Enviromental Research Letters. Accepted Manuscript. Abstract: We assessed the impact on the Brazilian Amazon of a 2017 land law that reinforces a mechanism for acquiring land rights historically linked to deforestation, since land grabbers
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