Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques

Ganguly, Kuntal; Kumar, Rajiv; Reddy, K. M.; Rao, Peddada Jagadeeswara; Saxena, Manoj Raj; Shankar, G. Ravi

doi:10.1080/10106049.2016.1178813

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…First, less attention is paid to the analysis of the spatial effects of urban land use change. Although Adhikari [82] and Ganguly [83] proposed a spatial statistical model of land use change, Sidharthan [84] proposed the incorporation of spatial dynamics and spatial dependence into land use change models, and Jimenez-Moreno [85] compared and analyzed spatial methods that can detect urban land use change, there is still no land use management model available for integrating land use change dynamics, performance, and policy. Second, there is no technical tool for the design of differentiated urban construction land policies.…”

Section: Response Planning and Policymentioning

confidence: 99%

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Zhang

Zhao

et al. 2022

Land

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Making efforts to promote rationalized urban construction land change, distribution, allocation, and its performance is the core task of territory spatial planning and a complex issue that the government must face and solve. Based on the Boston Consulting Group matrix, a decoupling model, and a GIS tool, this paper constructs a new tool that integrates “dynamic analysis + performance evaluation + policy design” for urban construction land. We reached the following findings from an empirical study of Gansu, China: (1) Urban construction land shows diversified changes, where expansion is dominant and shrink cannot be ignored. (2) Most cities are in the non-ideal state of LH (Low-High) and LL (Low-Low), with a small number in the state of HH (High-High) and HL (High-Low). (3) Urban construction land change and population growth, economic development, and income increase are in a discordant relationship, mostly in strong negative decoupling and expansive negative decoupling. (4) The spatial heterogeneity of urban construction land change and its performance are at a high level, and they show a slow upward trend. Additionally, the cold and the hot spots show obvious spatial clustering characteristics, and the spatial pattern of different indexes is different to some extent. (5) It is suggested that in territory spatial planning Gansu should divide the space into four policy areas—incremental, inventory, a reduction development policy area, and a transformation leading policy area—to implement differentiated management policies and to form a new spatial governance system of “control by zoning and management by class.” The change of urban construction land, characterized by dynamics and complexity, is a direct mapping of the urban growth process. The new tools constructed in this paper will help to reveal the laws of urban development and to improve the accuracy of territory spatial planning in the new era. They are of great theoretical significance and practical value for promoting high-quality and sustainable urban development.

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Section: Response Planning and Policymentioning

confidence: 99%

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Zhang

Zhao

et al. 2022

Land

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“…Also, found a slight increase of 0.3% and 0.2 % of pasture and build-up areas respectively, while bare land, garden, and water body decrease slightly over sixteen years by 0.4% and 0.01% respectively with an accuracy assessment of 86% and 89% for years 2000 and 2016 respectively. Moreover, in [29] study the LULC change of hotspot area in Pune region using Landsat images for 1972, 1992, and 2012. Change Detection and Statistical Cluster Analysis method for LULC change were used.…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

Gidado¹,

Kamarudin²,

Firdausaq³

et al. 2018

IJET

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The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.

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“…Particularly, satellite images, an attractive and accessible data source, could provide latest and valuable information to extract and map specific kinds of land cover in cities. Additionally, the analysis of temporal LULC changes and their impacts is also carried out due to remote sensing imagery [16]. LULC results retrieved from remote sensing often possess the characteristics of spatial dependence which is called spatial autocorrelation.…”

Section: Introductionmentioning

confidence: 99%

Identifying impervious surface hot spots in Ho Chi Minh City using object-based classification and spatial statistics

Nguyen,

Pham

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Impervious surface is often a primary indicator for urbanization. The rapid expansion of impervious surface area (ISA) can lead to a variety of environmental issues such as the change in local climate, urban heat islands, urban flooding, biodiversity loss, and the depletion of air quality. In this paper, satellite data from Landsat 5 TM, Landsat 8 OLI, and Sentinel-2 were employed to extract impervious areas in Ho Chi Minh City (HCMC) from 2009 to 2022 by integrating the object-based image analysis and Kernel density estimation method. Regarding spatial analysis, optimized hot spot analysis (OHSA) and emerging hot spot analysis (EHSA) were used to detect specific spatial distribution and spatio-temporal changes of ISA hot spots over the 12 years. Study results show the hot spots of ISA with 99% confidence interval increased considerably from 28,625 ha in 2009 to 44,400 ha in 2022. Through emerging hot spot analysis, many kinds of ISA hot spots including persistent, new, intensifying, sporadic, and potential hot spots were traced over time. New hot spots had a total area of 14,975 ha, located mainly in Cu Chi, Thu Duc city, whereas potential hot spots, which are likely to become new hot spots in the future, were over 28,000 ha, making up 19% of the study area. Thus, the results from this study can provide a preliminary prediction of ISA distribution for HCMC in the coming years.

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Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques

Cited by 11 publications

References 11 publications

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

Identifying impervious surface hot spots in Ho Chi Minh City using object-based classification and spatial statistics

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