Fig 3 - uploaded by Victor J. Loveson
Content may be subject to copyright.
Source publication
The paper discusses the land damage assessment and change detection analysis with reference to a mineral bearing zone in Manjhi, Manuni and Churan valleys. The area is located in environmentally sensitive and fragile region of Himalaya and constitutes of nearly 400 small-scale mines of slate, which were operative since last one hundred years and ar...
Contexts in source publication
Context 1
... of 'Base Map' using topographical map (1:50,000 scale) was the first step after obtaining data from different sources. False colour composite images (FCCs) have been interpreted to prepare the landuse maps (Fig. 3) for different period and change detection analysis has been carried out to prepare the land degradation maps (Fig. 4). The prepared maps were verified from ground truths through field checks considering prominent spectral signatures of mining areas and other degraded areas i.e. the areas degraded due to natural causes e.g. landslides, ...
Similar publications
Landslide is frequently occurring natural phenomenon causing land degradation in mountainous region of the world. The fragile Himalayan terrain of Uttarakhand often faces challenging and tough situation due to landslides, particularly in monsoon season. Change in rainfall pattern, anthropogenic activity, deforestation, construction on old landslide...
Citations
... Concerning the land damage caused by mining, land damage assessment can be done by identifying degraded land using IRS-IB satellite data as well as research conducted by Soni and Loveson (2003). Other researchers conducted an assessment of the soil quality index on the reclaimed land using exploratory methods and field surveys (Noviyanto et al., 2017). ...
Assessment of land damage has been included in several Indonesian government policies, but it tends to have zero dimensions or only one point in the year. This study tried to propose an inter-time assessment of land damage with a land stability index by including the development of knowledge and technology at nickel mining sites in the easternmost part of North Konawe Regency. Orthophoto and Digital Elevation Model (DEM) images from drones in 2020 were taken in a field survey and used as primary data. While the SPOT 5 Imagery in 2014 and National DEM were collected as secondary data. The developed method combining slope, soil, TRI (Terrain Ruggedness Index), and land cover factor has been considered moderately accurate. Applying the method between different periods has produced a temporal land stability index where a positive value means more unstable, zero means unchanged, and a negative value means more stable. The results showed that after six years, the largest area due to nickel mining in the area has not changed much or had zero value. This is because the area tends to remain a natural forest. The more stable area is located in the southern part of the study site. However, the increasingly unstable area is located in the northern part of the study site. If no reclamation action is taken, the potential for further damage will occur.
... The term 'land use' relates to the human activity associated with a specific area of land while 'land cover' generally denotes the type of features covering on the surface of the earth [1]. Physical environmental attributes damaged in the order of descending magnitude are land, water and air [2]. Several workers have done change analysis through visual or digital image interpretation with classified image outputs and statistical derived data [3,4,5,6,7,8,9]. ...
The land use and land cover information in the form of maps and statistical derived data has dealt with spatial planning, management and utilization of land. Digital image processing techniques can explore the changes of land use within the specified time period. Change detection technique used to determine land use and land cover changes in the magnesite mining area situated in Salem in different time periods from 1992 to 2010. The Landsat TM multi-temporal satellite data for the year 1992, 2001 and 2010 were utilized in the change detection analysis. Supervised classification method was employed using the maximum likelihood procedure in ENVI 4.7 software. The land use and land cover changes were observed through spatial data classification, statistical operations through relative changes, change matrix and accuracy assessment. The findings clearly depict that the changes in land use and land cover are due to mining activity in the study area. The results obtained in this study for the stipulated year's shows that the increase in the mining area +2.35 sq.km affects the net change value of area of scrub forest by +10.77 sq.km and built-up land by +24.21 sq.km, hence reducing the dense forest by-12.98 sq.km and agricultural land by-24.34 sq.km area respectively. The relative changes are assessed with the aid of the raster image in pixels and the net change domain pixels evaluation for the period of 1992-2010. Error matrixes are function of cross tabulation and assess the classification accuracy. The current study reveals an overall accuracy of 78.82%
Mining is a very important segment after agriculture for the development and prosperity of a country. It plays a very important role in building a country self sufficient. The mining of mineral resources whether by open cast or underground methods have severe environmental implications, which commences with the exploration phase, extends through mining, extraction and processing of minerals and continues even after the cessation of mining activity. The magnitude of these impacts depends to a large extent, on the existing environmental conditions, mining methodology and size of operations, geomorphology and socio economic status of the people. To maintain worthy environmental living conditions, regular monitoring of such areas at periodic intervals is required. In recent years, remote sensing from orbital platforms has emerged as a powerful tool for inventorying, mapping and monitoring of the natural resources and is increasingly finding its use in monitoring ecological conditions at a micro scale. Remote sensing has emerged as unique and extremely important tool in understanding and monitoring the environmental conditions. The real spurt in the worldwide usage of the technology came with the launch of Landsat series of satellites. The advantage of satellite remote sensing systems is the fact that they provide a vantage point in space to study the earth and its environment and provide a unique opportunity for inventorying, mapping and monitoring. This paper deals with a case study of Giral lignite mine in Barmer district of Rajasthan. Efforts have been made to evaluate land degradation using 2006 and 2008 satellite images. More emphasis has been provided towards the land pollution due to mining operations viz. extraction, dumping plantation etc. and comparison has been made for four year using satellite images.
The ever-increasing population needs food, fiber, shelter, fuel and fodder for meeting its various demands. Consequently, it has over exploited the natural resource that leads to land degradation and ecological imbalance. Therefore, in the changing scenario of increasing population, socioeconomic and environmental conditions; it becomes essential to map and reclaim the wasteland in the country. Main objectives of the present study are to identify and delineate different type of wastelands and to create a digital database which helps to prepare a development plan for the reclamation of this wasteland. In the present study, IRS P6 LISS-III digital data of February and November 2009, latest published reports, papers and Surveys of India's topographical maps are used. In the study area, scrub land occupies 47.39percent area and is the most dominant wasteland category followed by riverine sand which comprises 43.96percent of total wasteland. It helps a lot to identify the wasteland occurrence and provides basic input for formulating a sustainable development plans to reclamation these wastelands.
