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Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
by
Ishtiaq, Mohammad
, Naikoo, Mohd Waseem
, Mallick, Javed
, Rihan, Mohd
, Talukdar, Swapan
, Rahman, Atiqur
, Shahfahad
, Peer, Arshid Hussain
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Cities
/ data collection
/ Developing countries
/ Earth and Environmental Science
/ Ecotoxicology
/ employment
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Genetic transformation
/ GIS Applied to Soil-Agricultural Health for Environmental Sustainability
/ Heterogeneity
/ India
/ issues and policy
/ Land cover
/ Land use
/ land use and land cover maps
/ Landsat
/ LDCs
/ Literature reviews
/ Remote sensing
/ Spatial heterogeneity
/ spatial variation
/ State planning
/ surveys
/ tertiary sector
/ Urban areas
/ Urban policy
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
by
Ishtiaq, Mohammad
, Naikoo, Mohd Waseem
, Mallick, Javed
, Rihan, Mohd
, Talukdar, Swapan
, Rahman, Atiqur
, Shahfahad
, Peer, Arshid Hussain
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Cities
/ data collection
/ Developing countries
/ Earth and Environmental Science
/ Ecotoxicology
/ employment
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Genetic transformation
/ GIS Applied to Soil-Agricultural Health for Environmental Sustainability
/ Heterogeneity
/ India
/ issues and policy
/ Land cover
/ Land use
/ land use and land cover maps
/ Landsat
/ LDCs
/ Literature reviews
/ Remote sensing
/ Spatial heterogeneity
/ spatial variation
/ State planning
/ surveys
/ tertiary sector
/ Urban areas
/ Urban policy
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
by
Ishtiaq, Mohammad
, Naikoo, Mohd Waseem
, Mallick, Javed
, Rihan, Mohd
, Talukdar, Swapan
, Rahman, Atiqur
, Shahfahad
, Peer, Arshid Hussain
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Cities
/ data collection
/ Developing countries
/ Earth and Environmental Science
/ Ecotoxicology
/ employment
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Genetic transformation
/ GIS Applied to Soil-Agricultural Health for Environmental Sustainability
/ Heterogeneity
/ India
/ issues and policy
/ Land cover
/ Land use
/ land use and land cover maps
/ Landsat
/ LDCs
/ Literature reviews
/ Remote sensing
/ Spatial heterogeneity
/ spatial variation
/ State planning
/ surveys
/ tertiary sector
/ Urban areas
/ Urban policy
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
Journal Article
Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
2023
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Overview
The rate of transformation of natural land use land cover (LULC) to the built-up areas is very high in the peri-urban areas of Indian metropolitan cities. Delhi National Capital Region (Delhi NCR) is an inter-state planning region, located in the central part of India. The region has attracted a larger chunk of population by providing better economic opportunities during last few decades. This has resulted in large-scale transformation of the LULC pattern in the region. Thus, this study is intended to analyze and quantify the LULC change and its drivers in the peri-urban areas of Delhi NCR using Landsat datasets. Based on an extensive literature survey, several potential drivers of the LULC change have been analyzed using ordinary least squares (OLS) and geographical weighted regression (GWR) for the Delhi NCR. The results from LULC classification showed that the built-up area has increased from 1.67 to 7.12% of the total area of Delhi NCR during 1990–2018 while other LULC types have declined significantly. The OLS results showed that migration and employment in the tertiary sector are the most important drivers of built-up expansion in the study area. The standard residuals and local
R
2
results from GWR showed spatial heterogeneity among the coefficients of the explanatory variables throughout the study area. This study can be helpful for the urban policy makers and planners for making better master plan of Delhi NCR and other cities of developing countries.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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