Image fusion meets deep learning: A survey and perspective

H Zhang, H Xu, X Tian, J Jiang, J Ma - Information Fusion, 2021 - Elsevier
Image fusion, which refers to extracting and then combining the most meaningful information
from different source images, aims to generate a single image that is more informative and …

Multiscale land use impacts on water quality: Assessment, planning, and future perspectives in Brazil

K de Mello, RH Taniwaki, FR de Paula… - Journal of …, 2020 - Elsevier
Brazil contains the largest volume of freshwater of any nation in the world; however, this
essential natural resource is threatened by rapid increases in water consumption and water …

Exploring barriers and drivers to the implementation of circular economy practices in the mining industry

A Upadhyay, T Laing, V Kumar, M Dora - Resources Policy, 2021 - Elsevier
The circular economy is a widely discussed topic in the field of Eco-industrial initiatives and
environmentally responsive economies. The current economic and industrial model which is …

Hyperspectral image super-resolution meets deep learning: A survey and perspective

X Wang, Q Hu, Y Cheng, J Ma - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …

FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details

D Guo, W Shi, M Hao, X Zhu - Remote Sensing of Environment, 2020 - Elsevier
Spatiotemporal fusion is a feasible solution to resolve the tradeoff between the temporal and
spatial resolutions of remote sensing images. However, the development of spatiotemporal …

Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)

FAL Pacheco, RF do Valle Junior… - Science of The Total …, 2022 - Elsevier
Abstract In January 25, 2019, the B1 dam of Córrego do Feijão mine located in Brumadinho
municipality (Minas Gerais, Brazil) collapsed and injected nearly 2.8 Mm 3 of iron (Fe)-and …

Trace metals in Rio Doce sediments before and after the collapse of the Fundão iron ore tailing dam, Southeastern Brazil

EB Duarte, MA Neves, FB de Oliveira, ME Martins… - Chemosphere, 2021 - Elsevier
The collapse of the Fundão Dam, in Southeastern Brazil, caused about 50 million m³ of iron
ore tailings to sluice down the mountain to Rio Doce, in what is considered the greatest …

Time-sequence development of metal (loid) s following the 2015 dam failure in the Doce river estuary, Brazil

F Sá, CM Longhini, ES Costa, CA da Silva… - Science of the Total …, 2021 - Elsevier
In the context of the Doce river (Southeast Brazil) Fundão dam disaster in 2015, we
monitored the changes in concentrations of metal (loid) s in water and sediment and their …

[HTML][HTML] Remote sensing of turbidity in the Tennessee River using Landsat 8 satellite

AKMA Hossain, C Mathias, R Blanton - Remote Sensing, 2021 - mdpi.com
The Tennessee River in the United States is one of the most ecologically distinct rivers in the
world and serves as a great resource for local residents. However, it is also one of the most …

Optical remote sensing of large-scale water pollution in Angola and DR Congo caused by the Catoca mine tailings spill

D Ruppen, J Runnalls, RM Tshimanga, B Wehrli… - International Journal of …, 2023 - Elsevier
Billions of tons of hazardous mine waste are stored in thousands of tailings storage facilities
around the world. These impoundments represent one of the most important environmental …