Surface Area Estimation, Volume Change Detection in Lime Stone Quarry, Tirunelveli District Using Cartosat-1 Generated Digital Elevation Model (DEM)

Sudalaimuthu, Karuppasamy; Kaliappan, Sudalayandi; Karthiga, R.; Divya, C.

doi:10.4236/cs.2016.76073

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…However, studies on quarry monitoring remain temporally limited. Whether using several decades of spanned space-borne imagery or higher resolution images focusing on a short time scale, prior studies have generally relied on a comparison of imagery from two to three time slices [1,5,6,9,10]. Hence, with the focus on scarce observations so far, the socioeconomic reasons behind these quarry changes have not been thoroughly analyzed.…”

Section: Social Discussionmentioning

confidence: 99%

“…Today, remote sensing with its capability of establishing calibrated observations over decadal-scale time periods and at sufficiently high spatial resolution (≤30 m) can provide this information to achieve better insight into quarry dynamics. Several local and regional studies have focused on the dynamics of quarries using a variety of remotely-sensed datasets with various spatial and temporal resolutions [1,[3][4][5][6][7][8][9][10]. The findings from these studies have demonstrated the ability of remote sensing to detect and analyze the magnitude and spatial changes of natural environments as a result of mining activities [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…The findings from these studies have demonstrated the ability of remote sensing to detect and analyze the magnitude and spatial changes of natural environments as a result of mining activities [3,4]. However, most prior remote sensing studies focusing on quarry area changes have been temporally limited, relying on the comparison of imagery from two to three time slices (e.g., [1,5,6,9,10]). Studies [5,6] with high spatial resolution images (<5 m) usually focused on rather short time scales, ranging from several months to a couple of years due to the limited extent and availability of very high-resolution imagery, while other analyses typically span a couple of decades.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study

Zhao

Chen

et al. 2018

Remote Sensing

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Quarry sites result from human activity, which includes the removal of original vegetation and the overlying soil to dig out stones for building use. Therefore, the dynamics of the quarry area provide a unique view of human mining activities. Actually, the topographic changes caused by mining activities are also a result of the development of the local economy. Thus, monitoring the quarry area can provide information about the policies of the economy and environmental protection. In this paper, we developed a combined method of machine learning classification and quarry region analysis to estimate the quarry area in a quarry region near Beijing. A temporal smoothing based on the classification results of all years was applied in post-processing to remove outliers and obtain gently changing sequences along the monitoring term. The method was applied to Landsat images to derive a quarry distribution map and quarry area time series from 1984 to 2017, revealing significant inter-annual variability. The time series revealed a five-stage development of the quarry area with different growth patterns. As the study region lies on two jurisdictions-Tianjin and Hebei-a comparison of the quarry area changes in the two jurisdictions was applied, which revealed that the different policies in the two regions could impose different impacts on the development of a quarry area. An analysis concerning the relationship between quarry area and gross regional product (GRP) was performed to explore the potential application on socioeconomic studies, and we found a strong positive correlation between quarry area and GRP in Langfang City, Hebei Province. These results demonstrate the potential benefit of annual monitoring over the long-term for socioeconomic studies, which can be used for mining decision making.

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Section: Social Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study

Zhao

Chen

et al. 2018

Remote Sensing

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“…Excavated areas, stockpiles, and quarry waste negatively impact landscape form, affecting the visual appeal of BMNP. Excavation leaves depressions forming potential hazardous ponds, particularly in the summer season [75] (Figure 10). Focus group discussions highlight residents' observations regarding landscape change, land degradation, and deforestation of Afro-Alpine vegetation.…”

Section: Major Causes and Drivers Of Red Ash Excavation And Its Envir...mentioning

confidence: 99%

Long-Term Volumetric Change Estimation of Red Ash Quarry Sites in the Afro-Alpine Ecosystem of Bale Mountains National Park in Ethiopia

Muhammed,

Hassen,

Abera

et al. 2024

Remote Sensing

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The Bale Mountains National Park (BMNP) in Ethiopia comprises the largest fraction of the Afro-Alpine ecosystem in Africa, which provides vital mountain ecosystem services at local, regional, and global levels. However, the BMNP has been severely threatened by natural and anthropogenic disturbances in recent decades. In particular, landscape alteration due to human activities such as red ash quarrying has become a common practice in the BMNP, which poses a major environmental challenge by severely degrading the Afro-Alpine ecosystem. This study aims to quantify the long-term volumetric changes of two red ash quarry sites in the BMNP using historical aerial photographs and in situ data, and to assess their impact on the Afro-Alpine ecosystem. The Structure-from-Motion multi-view stereo photogrammetry algorithm was used to reconstruct the three-dimensional landscape for the year 1967 and 1984 while spatial interpolation techniques were applied to generate the current digital elevation models for 2023. To quantify the volumetric changes and landscape alteration of the quarry sites, differences in digital elevation models were computed. The result showed that the volume of resources extracted from the BMNP quarry sites increased significantly over the study period from 1984 to 2023 compared with the period from 1967 to 1984. In general, between 1967 and 2023, the total net surface volume of the quarry sites decreased by 503,721 ± 27,970 m3 and 368,523 ± 30,003 m3, respectively. The extent of the excavated area increased by 53,147 m2 and 45,297 m2 for Site 1 and 2, respectively. In terms of habitat loss, major gravel road construction inside the BMNP resulted in the reduction of Afro-Alpine vegetation by 476,860 m2, ericaceous vegetation by 403,806 m2 and Afromontane forest by 493,222 m2 with associated decline in species diversity and density. The excavation and gravel road construction have contributed to the degradation of the Afro-Alpine ecosystem, especially the endemic Lobelia rhynchopetalum on the quarry sites and roads. If excavation continues at the same rate as in the last half century, it can threaten the whole mountain ecosystem of the National Park and beyond, highlighting the importance of preventing these anthropogenic changes and conserving the remaining Afro-Alpine ecosystem.

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“…This data may now be obtained by remote sensing, It has the potential to create calibrated observations with an appropriate geographic resolution with decadal time scale. The dynamics of quarries have been the subject of several local and regional studies utilising a range of remotely sensed datasets with different spatial and temporal resolutions (Bonifazi et al 2003;Karuppasamy et al 2016;Koruyan et al 2012;Latifovic et al 2005;C. C. Liu et al 2005;Nikolakopoulos et al 2010;Nikolakopoulos and Raptis 2014;Saroglu et al 2005;Uça et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Temporal status and change detection of stone quarrying and crushing activities using multi-temporal google earth images

Chaurasia

Mohapatra

2023

Journal of Geomatics

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Stone quarrying and crushing (SQC) activities under mining operations normally produce a destructive landscaping impression during the period from start to end. Spatio-temporal data, downloaded from Google Earth Pro s/w, coupled with remote sensing, GIS, and GPS has been used to evaluate time series (2003, 2008, 2015 and 2021) analysis of stone quarrying and crushing activities in a part of Jhansi Tehsil. Results shows that the variability and pressure on land resources due to stone quarry and crushing activities were found linear increments during the time. There was annual heavy exploitation record during 2003-2008 (30.83%) of stone from quarry sites and total increments of SQC activities were found 277.64% since last 18 years. This study exhibited the prospective advantage of annual monitoring over period and support to make the possible preparations/ management for destructive mining operations. This study exhibited the prospective advantage of annual monitoring over period and support to make the possible preparations/ management for destructive mining operations.

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Surface Area Estimation, Volume Change Detection in Lime Stone Quarry, Tirunelveli District Using Cartosat-1 Generated Digital Elevation Model (DEM)

Cited by 9 publications

References 3 publications

Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study

Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study

Long-Term Volumetric Change Estimation of Red Ash Quarry Sites in the Afro-Alpine Ecosystem of Bale Mountains National Park in Ethiopia

Temporal status and change detection of stone quarrying and crushing activities using multi-temporal google earth images

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