Assessing Impacts of Mining Activities on Land Use/Land Cover Change Using Remote Sensing and GIS Techniques: A Case Study in Campha City, Vietnam

Coal is one of the most mining commodities to date, especially to supply both national andinternational energy needs. Coal mining activities that are not well managed will have an impact on theoccurrence of environmental damage. The present study was undertaken to analyze the process of humaninducedlandscape transformation in the coal mines affected areas of Cam Pha, northeast Vietnam byinterpreting temporal remote sensing data and using Geographic Information System. This experimentrevealed that most of the study area was dominated by forest in all the time sequence period. The forestcover has decreased about 21.3%, meanwhile having nine fold increase in mining area from 1990 to 2020.The forest area lost during the study period was 7983.45 ha due to land cover conversion into mining area.The mining activities were also detrimental to the bare land and water body cover. The results of this studyare expected to be used to support government efforts and mining managers in post-mining coal activities.

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Exploitation of Remote Sensing Data for Land Cover to Habitat Map Translation: A Case Study

GI_Forum 2013 – Creating the GISociety ◽

10.1553/giscience2013s487 ◽

2013 ◽

Author(s):

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Remote Sensing Data ◽

Sensing Data

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Land Use/Land Cover Dynamic Monitoring and Analysis Using Remote Sensing and GIS Techniques: Case Study of Qingpu District, Shanghai

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.518-523.5704 ◽

2012 ◽

Vol 518-523 ◽

pp. 5704-5709

Author(s):

Yi Lin ◽

Bing Liu ◽

Feng Xie ◽

Wen Wei Ren

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Remote Sensing Data ◽

Dynamic Monitoring ◽

Land Use Land Cover ◽

Ecological Value ◽

Barren Land

This paper illustrates almost twenty years (1986～2007) of Land use/land cover change (LULCC) in Qingpu-one district of Shanghai. Qingpu District is an area of Upper Huangpu Catchment for fresh water supply with considerable ecological value, but it is also experiencing urban sprawl from development. To reveal the trends underlie LULCC, we propose a novel procedure to quantify different land use/land covers and implement it in the case study. In this procedure, we first collect historical remote-sensing data and co-registered or corrected them to the same spatial resolution and radioactive level. Based upon preliminary interpretation or investigation, land use/land cover types in study area can be included in 5 categories, i.e. Water, Agricultural Land, Urban or Built-up Land, Forest Land, and Barren Land or others. Moreover, data is clipped via boundary of study area for reducing computation load, followed by FPCR-ISODATA classification to divide the data into k groups (k>the number of land types). After postprocessing, e.g., merge the same connoted subgroups and correct misclassified units accompany with validation and verification, the detailed land use/land cover results can be achieved accurately. The quantitative and regression analysis indicate that during the past twenty years the area of agricultural land of Qingpu decreased coupled with urban or built-up area increased linearly. The water area had the minimum change during the decades. Forests had the smallest average proportion (9.6%) of the total area. It occupied so small proportion of land that we can only find points of it in the maps. Barren land can be an indicator for monitoring uncompleted redevelopment or transition of land.

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