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Big data in forecasting research: a literature review
L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …
introduced into forecasting research, bringing new knowledge and improving prediction …
Assessing impacts of mining: Recent contributions from GIS and remote sensing
Mining produces several environmental, social, and economic impacts which can be
analysed spatially using remote sensing (RS) and geographical information systems (GIS) …
analysed spatially using remote sensing (RS) and geographical information systems (GIS) …
New insights into the 2020 Sardoba dam failure in Uzbekistan from Earth observation
R ** of mining-induced deformation in large-scale interferograms
This article proposes deep convolutional neural networks to detect and map localized, rapid
subsidence caused by mining activities using time-series Sentinel-1 synthetic aperture radar …
subsidence caused by mining activities using time-series Sentinel-1 synthetic aperture radar …
Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse
Catastrophic failure of a tailings dam at an iron ore mine complex in Brumadinho, Brazil, on
25th January 2019 released 11.7 million m3 of tailings downstream. Although reportedly …
25th January 2019 released 11.7 million m3 of tailings downstream. Although reportedly …
Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach
Tailings dams are usually ponds bounded by valleys or surrounding topography to store
mining or other chemical industrial waste. On 25 January 2019, the collapse of a tailings …
mining or other chemical industrial waste. On 25 January 2019, the collapse of a tailings …
[HTML][HTML] Land subsidence in Wuhan revealed using a non-linear PSInSAR approach with long time series of COSMO-SkyMed SAR data
Wuhan is an important city in central China, with a rapid development that has led to
increasingly serious land subsidence over the last decades. Most of the existing …
increasingly serious land subsidence over the last decades. Most of the existing …
An improved YOLOv5 method to detect tailings ponds from high-resolution remote sensing images
Z Sun, P Li, Q Meng, Y Sun, Y Bi - Remote Sensing, 2023 - mdpi.com
Tailings ponds' failure and environmental pollution make tailings monitoring very important.
Remote sensing technology can quickly and widely obtain ground information and has …
Remote sensing technology can quickly and widely obtain ground information and has …
Big Remotely Sensed Data: tools, applications and experiences
The increased availability of large remote sensing datasets is generating heightened
interest within the geoscience community, and more generally within human society. Indeed …
interest within the geoscience community, and more generally within human society. Indeed …