Monitoring of Land Use/Land Cover Changes and Urban Sprawl in Peshawar City in Khyber Pakhtunkhwa: An Application of Geo- Information Techniques Using of Multi-Temporal Satellite Data

Raziq, Abdur; Xu, Aigong; Liu, Yu; Zhao, Quanhua

doi:10.4172/2469-4134.1000174

Cited by 40 publications

(23 citation statements)

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“…Playgrounds have also been reduced to 63% from 2005-2010 while an additional 9.6% decrease from 2010-2015. Raziq et al (2016) in his paper, worked on maximum likelihood classification (MLC) techniques and algorithm to identify land-use changes in Peshawar from 1999 to 2016. The study supports the finding of this research for Peshawar city because maximum likelihood classification detected the land cover changes from 1999 to 2017 and observed a substantial increase in the built-up area resulting in the consumption of the agricultural land and barren land.…”

Section: Peshawarmentioning

confidence: 99%

Investigating the Spatio-Temporal Changes in Open Spaces in Major Cities of Pakistan

Javaid

Waheed

Zafar

2020

GSSR

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The recent trend of rural-urban migration has consumed most of the open spaces in cities leading to higher build-up to open space ratio. This has adversely affected the ecological balance and environment. This paper is about the Spatio-temporal analysis of three major cities of Pakistan to find the impacts of reduced open spaces between 2000-2015. The data was collected using Google Earth Pro and Arc-GIS. The identified open spaces were classified into six different classes of open spaces. The extracted data was also validated by point data comparison on 30 different locations through Google Earth Pro. The results depict an interesting development as a decreasing trend in open spaces for the years 2005-2010 are shown, while an increasing trend is visible between 2010-2015. Moreover, consumption of open spaces has resulted in many social and economic impacts on the community. Finally, it is recommended that strict policy measures are needed to provide adequate proposition of open spaces in cities and to safeguard the existing stock of open space available in urban areas.

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Section: Peshawarmentioning

confidence: 99%

Investigating the Spatio-Temporal Changes in Open Spaces in Major Cities of Pakistan

Javaid

Waheed

Zafar

2020

GSSR

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“…Changes in land use and land covers are one of the driving factors of global climatic changes and environmental sustainability. Advances in technology such as GIS and RS offering a cost-effective and accurate approach for interpreting landscape patterns (Raziq et al, 2016). Land use/land cover change is a continuous process based on several natural and anthropogenic factors.…”

Section: Introductionmentioning

confidence: 99%

Land use and land cover change analysis of District Charsadda, Pakistan along Kabul River in 2010 flood: using an advance geographic information system and remote sensing techniques

Fida

Hussain

Tao

et al. 2020

Preprint

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Abstract. The objective of this research study was to quantify land use and land cover changes before and after the 2010 flood at District Charsadda, Pakistan. The land use and land cover changes were evaluated with the help of advanced geographic information systems (GIS) and remote sensing techniques (RST). Moreover, some remedial measures were taken to develop land use/land cover of the area to overcome future problems. Land use and land cover changes were measured by using satellite images. Two instances were compared, i.e. pre-flood and post-flood, to analyze the change in land use/land cover of District Charsadda within 5 Km along the Kabul River. Comparative analysis of pre and post-flood imageries shows drastic changes over the water body, built-up area, agriculture land, and bare land during flood instances. The study area is rural and agricultural land is dominant in the area. We evaluated the percentage of different land uses/land covers within our study area, as agricultural land was about 68.5 %, barren land was about 22.5 %, and the water body was 8.8 % before the flood. After inundation, the water body raised to 16.4 %, bare soil increased to 26.30 %, agriculture land degraded up to 57 %, and settlements (villages) along River Kabul were badly damaged and finished by this flood. Approximately, four villages of District Nowshera, six villages of District Peshawar, and twenty-seven villages of Charsadda District were badly damaged during the 2010 flood.

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“…The importance of remote sensing is demonstrated by its superior ability to provide abundant Earth information that plays an important role in continuous observations of the Earth and its various resources [21][22][23][24][25]. Satellite images are key documents that help produce maps in both paper and digital spatial distributions.…”

Section: Introductionmentioning

confidence: 99%

Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia

Abdelkarim¹,

Gaber

Alkadi

et al. 2019

Sustainability

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The current study aimed at measuring the impact of the change in land-use morphology on the increase of flood risk through its application to the case of the Riyadh–Dammam train track in Saudi Arabia. The track was exposed to drift on 18 February 2017, over a length of 10 km, in the district of Dhahran in the capital of Dammam. Flooding caused the train to drift off its track and resulted in damage to lives, property, and infrastructure. This resulted from human interventions in the preplanning land uses and changing the morphology of the land by encroaching on the valleys, which resulted in the loss of the environmental and ecological balance in the study area. In order to achieve these goals, land-use changes in the study area were monitored by analyzing successive images from the GEO-I-1 satellite with a resolution of 60 cm for the years 2011 and 2017, before and after the train drift, using the maximum likelihood classification process provided in ERDAS IMAGINE 2016. GIS was used in the processing of 1 m digital elevation models to extract the morphological changes of the wadies between 2011 and 2017. A hydrological model (HEC–HMS) was used in calculating the (flood) hydrograph curve of the wadies basins and estimating the calculation of flood water quantities and its flow rates based on the Soil Conservation Services (SCS) Unit Hydrograph Method. Rain depth was analyzed and estimated for different return periods. The HEC–RAS hydraulic modeling program was employed in developing a 2D model to calculate the velocity, depth, and spread of the flood in order to apply the risk matrix method.

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Monitoring of Land Use/Land Cover Changes and Urban Sprawl in Peshawar City in Khyber Pakhtunkhwa: An Application of Geo- Information Techniques Using of Multi-Temporal Satellite Data

Cited by 40 publications

References 0 publications

Investigating the Spatio-Temporal Changes in Open Spaces in Major Cities of Pakistan

Investigating the Spatio-Temporal Changes in Open Spaces in Major Cities of Pakistan

Land use and land cover change analysis of District Charsadda, Pakistan along Kabul River in 2010 flood: using an advance geographic information system and remote sensing techniques

Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia

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