Remote sensing of vegetation health for reclaimed areas of Seyitömer open cast coal mine

Erener, Arzu

doi:10.1016/j.coal.2010.12.009

Cited by 79 publications

(49 citation statements)

References 19 publications

(25 reference statements)

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“…Longshe REM area was forced to be abandoned in 2003 due to resource management and protection. Table V is [10]. The brightest region locates in red box illustrated in Fig.…”

Section: A Mining Situation and Analysismentioning

confidence: 99%

The South Ion-Absorbed Rare Earth Mine Area Remote Sensing Monitoring in South of Jiangxi Province, China

Yan¹,

He²,

Zhang³

2016

IJET

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Abstract-Three kinds of the south ion-absorbed rare earth mine (REM) which are Lingbei REM region with light rare earth element (REE), Zudong REM region with high REE and Longshe REM region with middle high REE respectively were chosen as study areas in this paper. In order to make land cover maps and therefore monitor the changes of the exploitation of study areas during 2000-2010, object-oriented classification were conducted using SPOT1/2/5, and ALOS satellite imageries. A retrospective approach was also used to reduce the false change information, and thus to extract the change information of rare earth mining area efficiently. It is found that the three south ion-absorbed REM areas were scattered in study areas, and the exploitation areas of

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“…Longshe REM area was forced to be abandoned in 2003 due to resource management and protection. Table V is [10]. The brightest region locates in red box illustrated in Fig.…”

Section: A Mining Situation and Analysismentioning

confidence: 99%

The South Ion-Absorbed Rare Earth Mine Area Remote Sensing Monitoring in South of Jiangxi Province, China

Yan¹,

He²,

Zhang³

2016

IJET

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“…For very high resolution satellite images in an explored period, there was an incomplete range of images in the archive database for classification or clustering by a number of other techniques, such as vegetation indexes, etc. [6].…”

Section: Computer Based Modeling Of Vegetation Propagation Across a Dmentioning

confidence: 99%

“…In addition to the models based on a set of partial differential equations or ordinary differential equations, many mathematical techniques have been proposed, such as the finite-elements method, models based on fractal geometry, the catastrophes theory and cellular automata [4,5]. Novel approaches have appeared during the last few decades, opening the way to some new aspects of research: in particular, classification methods in remote sensing for evaluation of land cover changes, spatial data management in GISs (Geographic Information Systems) for integration of spatio-temporal data, and a GPS (Global Positioning System) for spatially related observations in the field [6,7]. At the present time,…”

mentioning

confidence: 99%

Computer Based Modeling of Vegetation Propagation across a Disturbed Space Linked to GIS

Matějı́ček¹,

Kovář²

2015

JEASE

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Abstract:The paper is focused on computer simulation of natural vegetation propagation across two selected disturbed sites. Two sites located in the different environments, the abandoned sedimentation basin of a former pyrite ore mine and the ash deposits of a power station, were selected to illustrate the proposed spatio-temporal model. Aerial images assisted in identifying and monitoring the progress in the propagation of vegetation. Analysis of the aerial images was based on varying vegetation coverage explored by classification algorithms. A new approach is proposed entailing coupling of a local dynamic model and a spatial model for vegetation propagation. The local dynamic model describes vegetation growth using a logistic growth approach based on delayed variables. Vegetation propagation is described by rules related to seed and its dispersal phenomena on a local scale and on the scale of outlying spreading. The disturbed sites are divided into a grid of microsites. Each microsite is represented by a 5 m  5 m square. A state variable in each microsite indicates the relative vegetation density on a scale from 0 (no vegetation) to 1 (long-term maximum of vegetation density). Growth, local vegetation propagation and the effects of outlying vegetation propagation in each cell are described by an ordinary differential equation with delayed state variables. The grid of cells forms a set of ordinary differential equations. The abandoned sedimentation basin and the ash deposits are represented by grids of 185  345 and 212  266 cells, respectively. A few case-oriented studies are provided to show various predictions of vegetation propagation across two selected disturbed sites. The first case study simulates vegetation growing without spatial propagations and delayed variables in the spatio-temporal model. The second and the third case studies extend the previous study by including local and outlying vegetation propagation, respectively. The fourth case study explores delayed impacts in the logistic growth term and the delayed outcome by vegetation propagation across the disturbed space. The performed case-oriented studies confirm the applicability of the proposed spatio-temporal model to predict vegetation propagation in short-term successions and to estimate approximate vegetation changes in long-term development. As a result, it can be concluded that remotely sensed data are a valuable source of information for estimates of model parameters and provide an effective method for monitoring the progress of vegetation propagation across the selected sites, spaces disturbed by human activities.

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“…Sonwalkar et al [16] used MODIS (MODerate-resolution Image Spectroradiometer) NDVI products to analyze the variations of acid mine drainage. Erener [1] analyzed the vegetation cover and health status of the reclaimed area of Seyitömer mine using NDVI, SRI, and reduced simple ratio. Townsend et al [17] examined the land use changes of central Appalachian Mountain region in the eastern United States using decision trees and Landsat time series data.…”

Section: State Of the Artmentioning

confidence: 99%

Monitoring the ecological environment of open-pit coalfields in cold zone of Northeast China using Landsat time series images of 2000-2015

Sun¹,

Zhang²,

Zhang³

et al. 2017

Teh. vjesn.

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Wenbin Sun i dr.Praćenje ekološkog okruženja rudnika s otvorenim jamskim oknom u hladnim područjima sjeveroistočne Kine primjenom Landsat serije slika ... MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015Wenbin Sun, Hongdan Zhang, Yungang Cao, Xiaolei Zhang, Xuefeng Ji, Fashuai LiOriginal scientific paper Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China's large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, and Huolinhe as examples and proposes a method for evaluating their ecological environment using Landsat time series images based on the Normalized Difference Vegetation Index (NDVI) variations of open-pit coalfields in cold and arid zones. The average NDVI value of the mining area each month was calculated using Landsat image data from 2000 to 2015. The vegetation cover area in the coalfields was extracted according to the NDVI threshold, and the scatter plots of the annual maximum NDVI and vegetation cover area were drawn. We fitted the variation trend line of maximum NDVI value and vegetation cover area to reduce the effect of meteorological factors on NDVI values. Results show that after the closure of open pit and reclamation of dump area, the NDVI of open-pit coalfields and vegetation cover area have been increasing rapidly over the last decade, and the ecological environment of these coalfields has obviously improved. The coal mining activities have led to the rapid decline of annual maximum NDVI and vegetation cover area of the coalfields in permafrost zones, and the ecological environment of coalfields continues to deteriorate. Although the quarterly average NDVI remains unchanged in non-permafrost mining coalfields under coal exploitation, the vegetation cover area in the coalfields decreases linearly, indicating that the ecological environment of the coalfields tends to deteriorate. From an ecological environment protection perspective, the results of this study provide a basis for decision making in constructing large-scale open pits in cold and arid zones. Keywords: coalfield; ecological environment; Landsat data set; Normalized Difference Vegetation Index (NDVI); time series Praćenje ekološkog okruženja rudnika s otvorenim jamskim oknom u hladnim područjima sjeveroistočne Kine primjenom Landsat serije slika snimljenih u razdoblju 2000-2015Izvorni znanstveni članak Procjena pogoršanja ekološkog okruženja i vegetacije rudnika u Kini zbog prekomjernog vađenja ugljena važna je zbog osjetljivog ekološkog okruženja i niske temperature u hladnim i sušnim područjima. U ovom se istraživanju kao primjeri uzimaju rudnici Haizhou, Gulianhe i Huolinhe s otvorenim jamskim oknom te se predlaže metoda za procjenu njihovog ekološkog okruženja primjenom Landsat vremenske serije slika na temelju varijacija Normalized Difference Vegeta...

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Remote sensing of vegetation health for reclaimed areas of Seyitömer open cast coal mine

Cited by 79 publications

References 19 publications

The South Ion-Absorbed Rare Earth Mine Area Remote Sensing Monitoring in South of Jiangxi Province, China

The South Ion-Absorbed Rare Earth Mine Area Remote Sensing Monitoring in South of Jiangxi Province, China

Computer Based Modeling of Vegetation Propagation across a Disturbed Space Linked to GIS

Monitoring the ecological environment of open-pit coalfields in cold zone of Northeast China using Landsat time series images of 2000-2015

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