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Before and After: A Multiscale Remote Sensing Assessment of the Sinop Dam, Mato Grosso, Brazil

1
Applied Remote Sensing Lab, Department of Geography, McGill University, Montreal, QC H3A 0B9, Canada
2
National Research Council Canada, Flight Research Lab, Ottawa, ON K1V 2B1, Canada
3
Laboratório de Ictiologia de Altamira, Universidade Federal do Pará, Altamira 68372-040, PA, Brazil
4
Laboratório de Ictiologia Tropical, Universidade Federal de Mato Grosso, Campus Universitário de Sinop, Sinop 78557-267, MT, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Teodosio Lacava
Earth 2021, 2(2), 303-330; https://doi.org/10.3390/earth2020018
Received: 8 May 2021 / Revised: 9 June 2021 / Accepted: 11 June 2021 / Published: 16 June 2021
Hydroelectric dams are a major threat to rivers in the Amazon. They are known to decrease river connectivity, alter aquatic habitats, and emit greenhouse gases such as carbon dioxide and methane. Multiscale remotely sensed data can be used to assess and monitor hydroelectric dams over time. We analyzed the Sinop dam on the Teles Pires river from high spatial resolution satellite imagery to determine the extent of land cover inundated by its reservoir, and subsequent methane emissions from TROPOMI S-5P data. For two case study areas, we generated 3D reconstructions of important endemic fish habitats from unmanned aerial vehicle photographs. We found the reservoir flooded 189 km2 (low water) to 215 km2 (high water) beyond the extent of the Teles Pires river, with 13–30 m tall forest (131.4 Mg/ha average AGB) the predominant flooded class. We further found the reservoir to be a source of methane enhancement in the region. The 3D model showed the shallow habitat had high complexity important for ichthyofauna diversity. The distinctive habitats of rheophile fishes, and of the unique species assemblage found in the tributaries have been permanently modified following inundation. Lastly, we illustrate immersive visualization options for both the satellite imagery and 3D products. View Full-Text
Keywords: conservation; Cubesat; satellite; UAV; PlanetScope; LiDAR; SfM photogrammetry; fish; freshwater; TROPOMI; GLAS; virtual reality; VR conservation; Cubesat; satellite; UAV; PlanetScope; LiDAR; SfM photogrammetry; fish; freshwater; TROPOMI; GLAS; virtual reality; VR
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MDPI and ACS Style

Lucanus, O.; Kalacska, M.; Arroyo-Mora, J.P.; Sousa, L.; Carvalho, L.N. Before and After: A Multiscale Remote Sensing Assessment of the Sinop Dam, Mato Grosso, Brazil. Earth 2021, 2, 303-330. https://doi.org/10.3390/earth2020018

AMA Style

Lucanus O, Kalacska M, Arroyo-Mora JP, Sousa L, Carvalho LN. Before and After: A Multiscale Remote Sensing Assessment of the Sinop Dam, Mato Grosso, Brazil. Earth. 2021; 2(2):303-330. https://doi.org/10.3390/earth2020018

Chicago/Turabian Style

Lucanus, Oliver, Margaret Kalacska, J. P. Arroyo-Mora, Leandro Sousa, and Lucélia N. Carvalho 2021. "Before and After: A Multiscale Remote Sensing Assessment of the Sinop Dam, Mato Grosso, Brazil" Earth 2, no. 2: 303-330. https://doi.org/10.3390/earth2020018

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