ZONAL PERSPECTIVE ON SPATIO-TEMPORAL LAND USE CHANGE IN INDIA THROUGH METRICS

R. Verma, J. Zawadzka, P. Garg
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Abstract

Abstract. India is a magnanimous country having large population centres with different settlement characteristics in various states and Union Territories (UTs), which can affect climate and development of country in longer duration. As such spatio-temporal analysis of urban dynamics over different constituent land use/land cover (LU/LC) is performed in this study using open source data and software programs only. The study derives a pattern of 4 Landscape Metrics (LSMs) by mapping urban growth through continuity, complexity, centrality and compactness of built-up land use using a publically available classified Decadal Land use data of India for years 1985, 1995 and 2005, over a period of 20 years in 7 zones of India. Spatially, UTs are showing lowest values in all LSMs which may be attributed to comparatively smaller sizes of districts in UTs. Central zone of India is showing highest values of Largest Patch Index (LPI) indicating larger built-up patches in zone, as larger population resides in the central states of India. East zone is having most complex shape of urbanisation with highest Landscape Shape Index (LSI) value. West Zone is predominantly showing greater centrality values through Mean Euclidean Nearest Neighbor Distance (ENN_MN), as larger part of it comprises of dessert. Temporally, built-up patches are larger and more complex in shape but less centralized in year 2005 with Aggregation Index (AI) remaining almost same over the years. All the results are indicating a dispersed urban growth in zones of India with similar surroundings of past years.
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印度土地利用时空变化的地带性视角
摘要印度是一个宽宏大量的国家,在不同的邦和联邦领土(UTs)拥有不同的定居特征的人口中心,这可能会影响国家的气候和发展更长时间。因此,本研究仅使用开源数据和软件程序对不同组成部分土地利用/土地覆盖(LU/LC)的城市动态进行了时空分析。该研究利用印度1985年、1995年和2005年的公开分类十年土地利用数据,在印度7个地区的20年间,通过城市增长的连续性、复杂性、中心性和紧凑性,得出了4个景观度量(LSMs)的模式。在空间上,ut在所有lsm中显示出最低的值,这可能归因于ut的地区面积相对较小。印度中部地区显示出最大斑块指数(LPI)的最高值,表明该地区的建筑斑块较大,因为印度中部各州的人口较多。东部地区城市化形态最为复杂,景观形态指数(LSI)值最高。通过平均欧几里得最近邻距离(ENN_MN),西区主要表现出更大的中心性值,因为西区大部分由甜点组成。从时间上看,2005年建成区面积更大、形状更复杂,但集中度较低,综合指数(AI)基本保持不变。所有的结果都表明,在过去几年环境相似的印度地区,城市增长是分散的。
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CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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