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Open AccessJournal ArticleDOI

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

TLDR
In this article, the authors 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.
Abstract
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.

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Biomass burning emissions of reactive gases estimated from satellite data analysis and ecosystem modeling for the Brazilian Amazon region : Large-scale biosphere-atmosphere experiment in Amazonia (LBA)

TL;DR: In this article, the authors used satellite advanced very high resolution radiometer (AVHRR) data on fire counts together with vegetation greenness imagery as inputs to an ecosystem biomass model at 8 km spatial resolution.
Journal ArticleDOI

Amazonian ichthyoplankton assessment via DNA metabarcoding: A baseline for detecting spawning sites of migratory fishes

TL;DR: In this article , the putative effect of river impoundment on migratory fish species, over 5400 eggs and larvae were collected from the Teles Pires River, including five tributaries and the hydroelectric reservoir, which were identified using the COI metabarcoding approach.
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A new species of Ancistrus (Siluriformes: Loricariidae) from Tapajós and Xingu basins, Brazil

TL;DR: A new Ancistrus species is described from Tapajós and Xingu river basins, distinguished from congeners by the singular body color pattern, consisting of dark vermiculated stripes almost all over the body, and also by combination of features as a narrow head, large internostril distance, and absence of rows of enlarged odontodes on the lateral plates.
References
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Journal ArticleDOI

Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988

TL;DR: Although this rate of deforestation is lower than previous estimates, the effect on biological diversity is greater and tropical forest habitat, severely affected with respect to biological diversity, increased.
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A global boom in hydropower dam construction

TL;DR: In this article, major new initiatives in hydropower development are now under way, and at least 3,700 major dams, each with a capacity of more than 1MW, are either planned or under construction, primarily in countries with emerging economies.
Journal ArticleDOI

Topographic structure from motion: a new development in photogrammetric measurement

TL;DR: This test shows that SfM and low-altitude platforms can produce point clouds with point densities comparable with airborne LiDAR, with horizontal and vertical precision in the centimeter range, and with very low capital and labor costs and low expertise levels.
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Mapping forest canopy height globally with spaceborne lidar

TL;DR: In this article, a wall-to-wall, global map of canopy height at 1-km spatial resolution, using 2005 data from the Geoscience Laser Altimeter System (GLAS) aboard ICESat (Ice, Cloud, and land Elevation Satellite).
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