Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas

2019 ◽  
Vol 218 ◽  
pp. 993-1006 ◽  
Author(s):  
Narayan Kayet ◽  
Khanindra Pathak ◽  
Abhisek Chakrabarty ◽  
Subodh Kumar ◽  
V.M. Chowdary ◽  
...  
Keyword(s):  
Cast Iron ◽  
Environmental Monitoring ◽  
Satellite Imagery ◽  
Iron Ore ◽  
Mining Areas ◽  
Landsat Satellite ◽  
Open Cast

AIRBORN SOILS POLLUTION RISK ASESSMENT NEAR OPEN - CAST IRON ORE MINES

2014 ◽  
Vol 13 (6) ◽  
pp. 1329-1333
Author(s):  
Mykola Kharytonov ◽  
Aissa Benselhoub
Keyword(s):  
Cast Iron ◽  
Iron Ore ◽  
Pollution Risk ◽  
Open Cast

scholarly journals Exploring Land use and Land cover change in the mining areas of Wa East District, Ghana using Satellite Imagery

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Prosper Laari Basommi ◽  
Qingfeng Guan ◽  
Dandan Cheng
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Geographical Information ◽  
Kappa Statistics ◽  
Image Differencing ◽  
Mining Areas ◽  
Land Cover Dynamics ◽  
Change Matrix ◽  
Landsat Satellite

AbstractSatellite imagery has been widely used to monitor the extent of environmental change in both mine and post mine areas. This study uses Remote sensing and Geographical Information System techniques for the assessment of land use/land cover dynamics of mine related areas in Wa East District of Ghana. Landsat satellite imageries of three different time periods, i.e., 1991, 2000 and 2014 were used to quantify the land use/cover changes in the area. Supervised Classification using Maximum Likelihood Technique in ERDAS was utilized. The images were categorized into five different classes: Open Savannah, Closed Savannah, Bare Areas, Settlement and Water. Image differencing method of change detection was used to investigate the changes. Normalized Differential Vegetative Index valueswere used to correlate the state of healthy vegetation. The image differencing showed a positive correlation to the changes in the Land use and Land cover classes. NDVI values reduced from 0.48 to 0.11. The land use change matrix also showed conversion of savannah areas into bare ground and settlement. Open and close savannah reduced from 50.80% to 36.5% and 27.80% to 22.67% respectively whiles bare land and settlement increased. Overall accuracy of classified 2014 image and kappa statistics was 83.20% and 0.761 respectively. The study revealed the declining nature of the vegetation and the significance of using satellite imagery. A higher resolution satellite Imagery is however needed to satisfactorily delineate mine areas from other bare areas in such Savannah zones.

Environmental Monitoring of Mining Areas Using Field Spectra, UAV and Satellite Imagery

2012 ◽  
Author(s):  
M.A. Goossens ◽  
C. Tote ◽  
C. Baciu ◽  
B.J. Williamson ◽  
V. Udachin ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Satellite Imagery ◽  
Mining Areas

scholarly journals Mapping and Monitoring Erosion-Accretion in an Alluvial River Using Satellite Imagery – The River Bank Changes of the Padma River in Bangladesh

2018 ◽  
Vol 37 (3) ◽  
pp. 87-95 ◽  
Author(s):  
Mohammad Maruf Billah
Keyword(s):  
Satellite Imagery ◽  
Bank Erosion ◽  
River Bank ◽  
River Bank Erosion ◽  
Island Area ◽  
River Bed ◽  
Drastic Increase ◽  
Padma River ◽  
Landsat Satellite ◽  
The Right

Abstract The Padma river is widely known for its dynamic and disastrous behaviour, and the river has been experiencing intense and frequent bank erosion and deposition leading to the changes and shifting of bank line. In this paper, a time series of Landsat satellite imagery MSS, TM and OLI and TIRS images and are used to detect river bank erosion-accretion and bank line shifting during the study period 1975–2015. This study exhibits a drastic increase of erosion and accretion of land along the Padma river. The results show that from 1975 to 2015, the total amount of river bank erosion is 49,951 ha of land, at a rate of 1,249 ha a−1 and the total amount of accretion is 83,333 ha of land, at a rate of 2,083 ha a−1. Throughout the monitoring period, erosion-accretion was more pronounced in the right part of the river and bank line had been shifting towards the southern direction. The paper also reveals that the total area of islands had been increased significantly, in 2015 there was about 50,967 ha of island area increased from 20,533 ha of island area in 1975, and the results evidence consistency of sedimentation in the river bed.

scholarly journals Monitoring scrub weed change in the Canterbury region using satellite imagery

2007 ◽  
Vol 60 ◽  
pp. 137-140 ◽  
Author(s):  
J.D. Shepherd ◽  
J.R. Dymond ◽  
J.R.I. Cuff
Keyword(s):  
Satellite Imagery ◽  
Vegetation Cover ◽  
Satellite Image ◽  
Visual Assessment ◽  
Woody Vegetation ◽  
Spatial Change ◽  
Valid Data ◽  
Woody Cover ◽  
Landsat Satellite ◽  
Thematic Data

The spatial change of woody vegetation in the Canterbury region was automatically mapped between 1990 and 2001 using Landsat satellite image mosaics The intersection of valid data from these mosaics gave coverage of 84 of the Canterbury region Changes in woody cover greater than 5 ha were identified Of the 5 ha areas of woody change only those that were likely to have been a scrub change were selected using ancillary thematic data for current vegetation cover (eg afforestation and deforestation were excluded) This resulted in 2466 polygons of potential scrub change These polygons were rapidly checked by visual assessment of the satellite imagery and assigned to exotic or indigenous scrub change categories Between 1990 and 2001 the total scrub weed area in the Canterbury region increased by 3600 400 ha and indigenous scrub increased by 2300 400 ha

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