scholarly journals Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic

2014 ◽  
Vol 6 (8) ◽  
pp. 7005-7025 ◽  
Author(s):  
Gila Notesco ◽  
Veronika Kopačková ◽  
Petr Rojík ◽  
Guy Schwartz ◽  
Ido Livne ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Czech Republic ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Open Pit ◽  
Open Pit Mines ◽  
The Czech Republic ◽  
Sensing Data

Remote sensing of mining and haulage equipment arrangement in Russia: A case-study of the coal and iron ore industry

2020 ◽  
pp. 46-49
Author(s):  
I. V. Zenkov ◽  
◽  
A. S. Morin ◽  
V. N. Vokin ◽  
E. V. Kiryushina ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Coal Mining ◽  
Iron Ore ◽  
Remote Sensing Data ◽  
Open Pit ◽  
Mining Machine ◽  
Open Pit Mines ◽  
Maintenance And Repair ◽  
Sensing Data

Remote sensing data have allowed detecting and monitoring of arrangement of mining and haulage machines in open pit mines producing coal and iron ore in Russia. In coal mining, the highest concentration of mining and haulage equipment is revealed in open pit mines in Kuzbass; in the iron ore industry, open pit mines in the Belgorod and Kursk Regions operate 70% of the total equipment employed in the mining sector. The authors draw a conclusion on the essentiality of strengthening of in-house mining machine engineering in Russia and on creation of interregional centers for maintenance and repair of mining and haulage equipment.

scholarly journals Classification of Remote Sensing Data With Morphological Attributes Profiles: A decade of advances

2021 ◽  
pp. 0-0
Author(s):  
Deise Santana Maia ◽  
Minh-Tan Pham ◽  
Erchan Aptoula ◽  
Florent Guiotte ◽  
Sebastien Lefevre
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Morphological Attributes ◽  
Sensing Data
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