Modelling urban sprawl detection using remotely sensed data: a case of Сhennai, Tamilnadu /R. Padmanaban, A. K. Bhowmik, P. Cabral [et.al.]

Электронный ресурс
Другой Автор
Padmanaban, Rajchandar
Cabral, Pedro
Zamyatin, Alexander
Almegdadi, Oraib
Wang, Shuangao
Bhowmik, Avit K.
Источник
Entropy 2017 Vol. 19, № 4. P. 163 (1-14)
Аннотация
Urban sprawl propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, substantially alters ecosystem services. Hence, the quantification of urban sprawl is crucial for effective urban planning, and environmental and ecosystem management. Like many megacities in fast growing developing countries, Chennai, the capital of Tamilnadu and one of the business hubs in India, has experienced extensive urban sprawl triggered by the doubling of total population over the past three decades. We employed the Random Forest (RF) classification on Landsat imageries from 1991, 2003, and 2016, and computed spatial metrics to quantify the extent of urban sprawl within a 10km suburban buffer of Chennai. The rate of urban sprawl was quantified using Renyi’s entropy, and the urban extent was predicted for 2027 using land-use and land-cover change modeling. A 70.35% increase in urban areas was observed for the suburban periphery of Chennai between 1991 and 2016. The Renyi’s entropy value for year 2016 was ≥ 0.9, exhibiting a two-fold rate of urban sprawl. The spatial metrics values indicate that the existing urban areas of Chennai became denser and the suburban agricultural, forests and barren lands were transformed into fragmented urban settlements. The forecasted urban growth for 2027 predicts a conversion of 13670.33ha (16.57 % of the total landscape) of existing forests and agricultural lands into urban areas with an associated increase in the entropy value of 1.7. Our findings are relevant for urban planning and environmental management in Chennai and provide quantitative measures for addressing the social-ecological consequences of urban sprawl and the protection of ecosystem services.
Всего оценка: 0
Нет записей для отображения.
 
 
 
03194nab a2200361 c 4500
001
 
 
vtls000626949
003
 
 
RU-ToGU
005
 
 
20180517080200.0
007
 
 
cr |
008
 
 
180514|2017    sz      s         a eng d
024
7
$a 10.3390/e19040163 $2 doi
035
$a to000626949
039
9
$a 201805170802 $b cat202 $c 201805141558 $d VLOAD $y 201805141548 $z VLOAD
040
$a RU-ToGU $b rus $c RU-ToGU
245
1
0
$a Modelling urban sprawl detection using remotely sensed data: a case of Сhennai, Tamilnadu $c R. Padmanaban, A. K. Bhowmik, P. Cabral [et.al.]
504
$a Библиогр.: 68 назв.
520
3
$a Urban sprawl propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, substantially alters ecosystem services. Hence, the quantification of urban sprawl is crucial for effective urban planning, and environmental and ecosystem management. Like many megacities in fast growing developing countries, Chennai, the capital of Tamilnadu and one of the business hubs in India, has experienced extensive urban sprawl triggered by the doubling of total population over the past three decades. We employed the Random Forest (RF) classification on Landsat imageries from 1991, 2003, and 2016, and computed spatial metrics to quantify the extent of urban sprawl within a 10km suburban buffer of Chennai. The rate of urban sprawl was quantified using Renyi’s entropy, and the urban extent was predicted for 2027 using land-use and land-cover change modeling. A 70.35% increase in urban areas was observed for the suburban periphery of Chennai between 1991 and 2016. The Renyi’s entropy value for year 2016 was ≥ 0.9, exhibiting a two-fold rate of urban sprawl. The spatial metrics values indicate that the existing urban areas of Chennai became denser and the suburban agricultural, forests and barren lands were transformed into fragmented urban settlements. The forecasted urban growth for 2027 predicts a conversion of 13670.33ha (16.57 % of the total landscape) of existing forests and agricultural lands into urban areas with an associated increase in the entropy value of 1.7. Our findings are relevant for urban planning and environmental management in Chennai and provide quantitative measures for addressing the social-ecological consequences of urban sprawl and the protection of ecosystem services.
653
$a городское планирование
653
$a количественная оценка
653
$a Реньи энтропия
655
4
$a статьи в журналах
700
1
$a Padmanaban, Rajchandar
700
1
$a Cabral, Pedro
700
1
$a Zamyatin, Alexander
700
1
$a Almegdadi, Oraib
700
1
$a Wang, Shuangao
700
1
$a Bhowmik, Avit K.
773
0
$t Entropy $d 2017 $g Vol. 19, № 4. P. 163 (1-14) $x 1099-4300
852
4
$a RU-ToGU
856
7
$u http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000626949
908
$a статья
999
$a VIRTUA               
999
$a VTLSSORT0010*0030*0050*0070*0080*0240*0350*0390*0400*2450*5040*5200*6530*6531*6532*6550*7000*7005*7001*7002*7003*7004*7730*8520*8560*9080*9992
Нет комментариев.
Предмет
статьи в журналах
Резюме
Urban sprawl propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, substantially alters ecosystem services. Hence, the quantification of urban sprawl is crucial for effective urban planning, and environmental and ecosystem management. Like many megacities in fast growing developing countries, Chennai, the capital of Tamilnadu and one of the business hubs in India, has experienced extensive urban sprawl triggered by the doubling of total population over the past three decades. We employed the Random Forest (RF) classification on Landsat imageries from 1991, 2003, and 2016, and computed spatial metrics to quantify the extent of urban sprawl within a 10km suburban buffer of Chennai. The rate of urban sprawl was quantified using Renyi’s entropy, and the urban extent was predicted for 2027 using land-use and land-cover change modeling. A 70.35% increase in urban areas was observed for the suburban periphery of Chennai between 1991 and 2016. The Renyi’s entropy value for year 2016 was ≥ 0.9, exhibiting a two-fold rate of urban sprawl. The spatial metrics values indicate that the existing urban areas of Chennai became denser and the suburban agricultural, forests and barren lands were transformed into fragmented urban settlements. The forecasted urban growth for 2027 predicts a conversion of 13670.33ha (16.57 % of the total landscape) of existing forests and agricultural lands into urban areas with an associated increase in the entropy value of 1.7. Our findings are relevant for urban planning and environmental management in Chennai and provide quantitative measures for addressing the social-ecological consequences of urban sprawl and the protection of ecosystem services.