Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
A global-scale data set of mining areas
The area used for mineral extraction is a key indicator for understanding and mitigating the
environmental impacts caused by the extractive sector. To date, worldwide data products on …
environmental impacts caused by the extractive sector. To date, worldwide data products on …
A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms
A Whyte, KP Ferentinos, GP Petropoulos - Environmental Modelling & …, 2018 - Elsevier
In this work the synergistic use of Sentinel-1 and 2 combined with the System for Automated
Geoscientific Analyses (SAGA) Wetness Index in the content of land use/cover (LULC) …
Geoscientific Analyses (SAGA) Wetness Index in the content of land use/cover (LULC) …
Co-Orbital Sentinel 1 and 2 for LULC mapping with emphasis on wetlands in a mediterranean setting based on machine learning
This study aimed at evaluating the synergistic use of Sentinel-1 and Sentinel-2 data
combined with the Support Vector Machines (SVMs) machine learning classifier for mapping …
combined with the Support Vector Machines (SVMs) machine learning classifier for mapping …
Systematic review of machine learning applications in mining: Exploration, exploitation, and reclamation
D Jung, Y Choi - Minerals, 2021 - mdpi.com
Recent developments in smart mining technology have enabled the production, collection,
and sharing of a large amount of data in real time. Therefore, research employing machine …
and sharing of a large amount of data in real time. Therefore, research employing machine …
Assessment of the capability of remote sensing and GIS techniques for monitoring reclamation success in coal mine degraded lands
The objective of the present study is to monitor reclamation activity in mining areas.
Monitoring of these reclaimed sites in the vicinity of mining areas and on closed Over …
Monitoring of these reclaimed sites in the vicinity of mining areas and on closed Over …
Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS®
This study aims to quantify the landscape spatio-temporal dynamics including Land
Use/Land Cover (LULC) changes occurred in a typical Mediterranean ecosystem of high …
Use/Land Cover (LULC) changes occurred in a typical Mediterranean ecosystem of high …
Remote sensing of mine site rehabilitation for ecological outcomes: A global systematic review
The mining industry has been operating across the globe for millennia, but it is only in the
last 50 years that remote sensing technology has enabled the visualization, mapping and …
last 50 years that remote sensing technology has enabled the visualization, mapping and …
Mining and tailings dam detection in satellite imagery using deep learning
R Balaniuk, O Isupova, S Reece - Sensors, 2020 - mdpi.com
This work explores the combination of free cloud computing, free open-source software, and
deep learning methods to analyze a real, large-scale problem: the automatic country-wide …
deep learning methods to analyze a real, large-scale problem: the automatic country-wide …