典型文献
A spatio-temporal assessment and prediction of Ahmedabad's urban growth between 1990-2030
文献摘要：
Analyzing long term urban growth trends can provide valuable insights into a city's future growth.This study employs LANDSAT satellite images from 1990,2000,2010 and 2019 to perform a spatiotemporal assessment and predict Ahmedabad's urban growth.Land Use Land Change(LULC)maps developed using the Maximum Likelihood classifier produce four principal classes:Built-up,Vegetation,Water body,and"Others".In between 1990-2019,the total built-up area expanded by 130％,132 km2 in 1990 to 305 km2 in 2019.Rapid popu-lation growth is the chief contributor towards urban growth as the city added 3.9 km2 of addi-tional built-up area to accommodate every 100,000 new residents.Further,a Multi-Layer Perceptron-Markov Chain model(MLP-MC)predicts Ahmedabad's urban expansion by 2030.Compared to 2019,the MLP-MC model predicts a 25％and 19％increase in Ahmed-abad's total urban area and population by 2030.Unaltered,these trends shall generate many socio-economic and environmental problems.Thus,future urban development policies must balance further development and environmental damage.
文献关键词：
中图分类号：
作者姓名：
Shobhit CHATURVEDI;Kunjan SHUKLA;Elangovan RAJASEKAR;Naimish BHATT
作者机构：
Department of Architecture and Planning,Indian Institute of Technology,Roorkee 247667,India;Department of Civil Engineering,School of Technology,Pandit Deendayal Petroleum University,Gandhi-nagar 382007,India
文献出处：
引用格式：
[1]Shobhit CHATURVEDI;Kunjan SHUKLA;Elangovan RAJASEKAR;Naimish BHATT-.A spatio-temporal assessment and prediction of Ahmedabad's urban growth between 1990-2030)[J].地理学报（英文版）,2022(09):1791-1812
A类：
Ahmedabad,abad,Unaltered
B类：
assessment,prediction,urban,growth,between,Analyzing,long,term,trends,can,provide,valuable,insights,into,city,future,This,study,employs,LANDSAT,satellite,images,from,perform,spatiotemporal,Land,Use,Change,LULC,maps,developed,using,Maximum,Likelihood,classifier,produce,four,principal,classes,Built,up,Vegetation,Water,body,Others,In,total,built,area,expanded,by,km2,Rapid,chief,contributor,towards,added,addi,tional,accommodate,every,new,residents,Further,Multi,Layer,Perceptron,Markov,Chain,model,MLP,MC,predicts,expansion,Compared,increase,population,these,shall,generate,many,socio,economic,environmental,problems,Thus,development,policies,must,balance,further,damage
AB值：
0.620878
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