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- W4306318383 abstract "In the cities of developing countries like India, rapid and uncontrolled urbanization has been taking place due to continuous population growth in last few decades. As a result, land use/land cover (LU/LC) is changing very fast in the cities of developing countries. Therefore, this study aims to examine the changes in LU/LC pattern in Delhi during 1991–2018 and simulate the future LU/LC pattern of Delhi for 2030. The LU/LC pattern mapping was done from Landsat datasets using k-means clustering technique. The cellular automata (CA) technique was integrated with artificial neural network (ANN) for simulating the future LU/LC patterns. The projected LU/LC pattern shows that Delhi’s built-up area will increase to nearly 60% of the total area of city, while cropland and open land will decrease to 19.86 and 0.15%, respectively. The highest increase in built-up area was observed in the northern, western, and south-western sub-districts of Delhi. Outcomes of the study may be used for future land use planning in Delhi and other cities. In addition, they can also provide valuable insights for the development of transportation network and other facilities and amenities in the areas of future urban expansion." @default.
- W4306318383 created "2022-10-16" @default.
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- W4306318383 date "2022-10-14" @default.
- W4306318383 modified "2023-10-05" @default.
- W4306318383 title "Prediction of land use changes at a metropolitan city using integrated cellular automata: past and future" @default.
- W4306318383 cites W1969835036 @default.
- W4306318383 cites W1978914328 @default.
- W4306318383 cites W1988590943 @default.
- W4306318383 cites W2006026780 @default.
- W4306318383 cites W2027455141 @default.
- W4306318383 cites W2045472771 @default.
- W4306318383 cites W2046224449 @default.
- W4306318383 cites W2051997212 @default.
- W4306318383 cites W2057204588 @default.
- W4306318383 cites W2060041035 @default.
- W4306318383 cites W2061889996 @default.
- W4306318383 cites W2093462312 @default.
- W4306318383 cites W2103079830 @default.
- W4306318383 cites W2114698059 @default.
- W4306318383 cites W2114828048 @default.
- W4306318383 cites W2138973222 @default.
- W4306318383 cites W2230691563 @default.
- W4306318383 cites W2319007132 @default.
- W4306318383 cites W2364759665 @default.
- W4306318383 cites W2474499809 @default.
- W4306318383 cites W2486759586 @default.
- W4306318383 cites W2500678475 @default.
- W4306318383 cites W2605627592 @default.
- W4306318383 cites W2610254470 @default.
- W4306318383 cites W2744510148 @default.
- W4306318383 cites W2755013453 @default.
- W4306318383 cites W2769498364 @default.
- W4306318383 cites W2790574216 @default.
- W4306318383 cites W2800989768 @default.
- W4306318383 cites W2803620309 @default.
- W4306318383 cites W2884260323 @default.
- W4306318383 cites W2899101283 @default.
- W4306318383 cites W2899390968 @default.
- W4306318383 cites W2903787197 @default.
- W4306318383 cites W2910422106 @default.
- W4306318383 cites W2911220736 @default.
- W4306318383 cites W2912966821 @default.
- W4306318383 cites W2941082977 @default.
- W4306318383 cites W2956706400 @default.
- W4306318383 cites W2968310321 @default.
- W4306318383 cites W2970433948 @default.
- W4306318383 cites W2973576521 @default.
- W4306318383 cites W2983210767 @default.
- W4306318383 cites W2998025886 @default.
- W4306318383 cites W3003527632 @default.
- W4306318383 cites W3007564162 @default.
- W4306318383 cites W3011116303 @default.
- W4306318383 cites W3011138275 @default.
- W4306318383 cites W3011989342 @default.
- W4306318383 cites W3014372673 @default.
- W4306318383 cites W3039495143 @default.
- W4306318383 cites W3082884498 @default.
- W4306318383 cites W3084316422 @default.
- W4306318383 cites W3090239699 @default.
- W4306318383 cites W3108864579 @default.
- W4306318383 cites W3113176042 @default.
- W4306318383 cites W3114653318 @default.
- W4306318383 cites W3117607278 @default.
- W4306318383 cites W3118620655 @default.
- W4306318383 cites W3120840445 @default.
- W4306318383 cites W3122768880 @default.
- W4306318383 cites W3123792837 @default.
- W4306318383 cites W3131880533 @default.
- W4306318383 cites W3153740530 @default.
- W4306318383 cites W3160289306 @default.
- W4306318383 cites W3161280021 @default.
- W4306318383 cites W3169685850 @default.
- W4306318383 cites W3171235785 @default.
- W4306318383 cites W3174985606 @default.
- W4306318383 cites W3177102266 @default.
- W4306318383 cites W3187202655 @default.
- W4306318383 cites W3200500876 @default.
- W4306318383 cites W3200731785 @default.
- W4306318383 cites W3207419257 @default.
- W4306318383 cites W3212450039 @default.
- W4306318383 cites W3214256236 @default.
- W4306318383 cites W3216671911 @default.
- W4306318383 cites W4200264081 @default.
- W4306318383 cites W4200525141 @default.
- W4306318383 cites W4206829659 @default.
- W4306318383 cites W4210472657 @default.
- W4306318383 cites W4224885909 @default.
- W4306318383 cites W4280566846 @default.
- W4306318383 cites W4283009480 @default.
- W4306318383 doi "https://doi.org/10.1080/24749508.2022.2132010" @default.
- W4306318383 hasPublicationYear "2022" @default.