Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan

Natural hazards and earth system sciences, Journal Year: 2019, Volume and Issue: 19(5), P. 999 - 1022

Published: May 7, 2019

Abstract. The Karakoram Highway (KKH) is an important route, which connects northern Pakistan with Western China. Presence of steep slopes, active faults and seismic zones, sheared rock mass, torrential rainfall make the study area a unique geohazards laboratory. Since its construction, landslides constitute appreciable threat, having blocked KKH several times. Therefore, landslide susceptibility mapping was carried out in this to support highway authorities maintaining smooth hazard-free travelling. Geological geomorphological data were collected processed using geographic information system (GIS) environment. Different conditioning triggering factors for occurrences considered preparation map. These include lithology, seismicity, intensity, faults, elevation, slope angle, aspect, curvature, land cover hydrology. According spatial statistical analyses, seismicity angle mainly control distribution landslides. Each controlling parameter assigned numerical weight by utilizing analytic hierarchy process (AHP) method. Additionally, weighted overlay method (WOL) employed determine indices. As result, map produced. In map, subdivided into four different zones. Some sections fall high very results, gradient, lithology have strong influence on events. Credibility validated density analysis (LDA) receiver operator characteristics (ROC), yielding predictive accuracy 72 %, rated as satisfactory previous researchers.

Language: Английский

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Coastal landuse and land cover change and transformations of Kanyakumari coast, India using remote sensing and GIS

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2017, Volume and Issue: 20(2), P. 169 - 185

Published: April 29, 2017

The coastal landuse and land cover features in the South West coast of Kanyakumari are dynamically regulated due to marine terrestrial processes often controlling by natural anthropogenic activities. primary objective this study is estimate decadal changes their transformations (LULC) under Level II category USGS-LULC Classification System using Landsat ETM+ TM images Maximum Likelihood Classifier (MLC) algorithm for period 2000–2011. classified LULC categorized as beachface cover, cultivable lands, plantation shrub vegetation, fallow land, barren settlements built-ups, water bodies, mining area, etc. geo-database prepared feature class with an attributes name, location, area spatial distribution, It shows larger (sandy beaches, foredunes, uplands, Teri dunes (laterite) associated nearshore landforms), plantations, fallows, lands converted into built-ups it increases more than twice 10 years. Using GIS techniques, analysis change detection matrix reveals that total 45.90 km2 different periodically shifted or transformed from one state another states, i.e. 1.24 encroached 0.63 placer during decade. Meanwhile, 0.21 wetlands saltwater bodies. During past decade, expansion directly proportional growth population, which produces severe threat resources. Accuracy assessment overall accuracy estimated 81.16% 77.52% Kappa coeffient statistical values 0.83 0.76 year 2000 2011 respectively. Ground truth verification extracted performed 120 samples (10 per class) 89%. This indicates acceptable studies. geodatabase used source sustainable resource management region.

Language: Английский

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Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

Environmental Earth Sciences, Journal Year: 2019, Volume and Issue: 79(1)

Published: Dec. 26, 2019

Language: Английский

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Spatio-temporal Patterns of Land Use/Land Cover Change in the Bhutan–Bengal Foothill Region Between 1987 and 2019: Study Towards Geospatial Applications and Policy Making

Earth Systems and Environment, Journal Year: 2020, Volume and Issue: 4(1), P. 117 - 130

Published: March 1, 2020

Language: Английский

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Land Use Land Cover Changes in Detection of Water Quality: A Study Based on Remote Sensing and Multivariate Statistics

Journal of Environmental and Public Health, Journal Year: 2017, Volume and Issue: 2017, P. 1 - 12

Published: Jan. 1, 2017

Malacca River water quality is affected due to rapid urbanization development. The present study applied LULC changes towards detection in River. method uses LULC, PCA, CCA, HCA, NHCA, and ANOVA. PCA confirmed DS, EC, salinity, turbidity, TSS, DO, BOD, COD, As, Hg, Zn, Fe, E. coli , total coliform. CCA 14 variables into two variates; first variate involves residential industrial activities; second agriculture, sewage treatment plant, animal husbandry. HCA NHCA emphasize that cluster 1 occurs urban area with coliform, DO pollution; 3 suburban DS; 2 rural salinity EC. ANOVA between data indicates built-up significantly polluted the through while agriculture activities cause arsenic, iron open space causes contamination of TSS. Research finding provided useful information identifying pollution sources understanding river as references policy maker for proper management Land Use area.

Language: Английский

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