Mapping and monitoring of urban landuse of Hisar Town, Haryana using remote sensing techniques

Jain, Abhilash; Hooda, RS; Nath, Jagan; Manchanda, M. L.

doi:10.1007/bf03008127

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…Area coverage by waste land class comprising degraded scrub land, sandy waste and few waterlogged lands has maintained a decreasing trend over the study period. It is worthwhile to mention that some wastelands surrounding town have been utilized for urban expansion to avoid encroachment on productive and fertile agricultural areas which was identified in former study (Jain et al, 1991). Likewise, present study has revealed that 7.3 km 2 and 13.1 km 2 area of wasteland have been rejuvenated into agricultural land in the north-western portion of the study area during 1991-2001 and 2001-2011 respectively (Table 2b-c).…”

Section: Resultssupporting

confidence: 59%

“…Compared to those districts (Faridabad, Palwal, Nuh, Gurgaon, Rewari, Mahendragarh, Charkhi Dadri, Bhiwani, Jhajjar, Rohtak, Sonipat, Panipat, Jind, Karnal) of Haryana declared as a part of National Capital Region (NCR), Hisar is less explored in terms of research. Limited studies available for Hisar at the district and city level (Rajesh, 2018;Kumar et al, 2016;Kaushik et al, 2015;Shashikant et al, 2015;Jain et al, 1991) reported that small-scale industries, educational facilities, transportation development are the main factors responsible for the rapid urban growth and expansion of Hisar city along the National Highway (NH) no.10 and Sirsa road. Such uncontrolled expansion of built-up region in the central part of Hisar Tehsil has resulted into the loss of scrub land and productive agricultural land.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring and Prediction of Land Use Land Cover Changes and its Impact on Land Surface Temperature in the Central Part of Hisar District, Haryana Under Semi-Arid Zone of India

Kumar

Ghosh

Hooda

et al. 2019

Journal of Landscape Ecology

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Land use Land cover have significance in relation to Land, the most vital and fundamental resource pertaining to the urban development. Unprecedented urban growth has a noteworthy impact on natural landscape by converting natural land-cover in Haryana. Hisar, an area recognized for rapid urban growth is less explored in terms of research. The present research has shown a significant change in land use in terms of expansion of built-up area from 3.7 % (1991) to 5.0 % (2001) and 6.2 % (2011) by encroaching into agricultural land. Despite the clear difference between average land surface temperature for built up and non-built up area, grazing land and sandy waste, bare land in the rural surrounding possess higher temperature compared to the city core which contradicts the reported impact of urbanization earlier. Such contrary pertains to sparse vegetation cover leading to reduced evaporative cooling during dry pre-monsoon summer in the rural surrounding. On the other side, green parks and plantation in the city contribute to lower mean temperature because of high rates of evapotranspiration and produce ‘oasis effect’ in the present study area located in semi-arid climatic zone. Regression analysis between temperature and Normalized Difference Vegetation Index, Normalized Difference Built-up Index exhibited a strong negative and positive correlation respectively (Pearson’s r: between -0.79 to -0.87 and between 0.79 to 0.84 respectively). Future land use prediction project an increase (1.3 %) in built-up area from 2011 to 2021. This study recommends urban plantation and prohibition to overgrazing to check the heat effect.

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Section: Resultssupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Monitoring and Prediction of Land Use Land Cover Changes and its Impact on Land Surface Temperature in the Central Part of Hisar District, Haryana Under Semi-Arid Zone of India

Kumar

Ghosh

Hooda

et al. 2019

Journal of Landscape Ecology

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“…The maps depicted that the city extended well outside the then municipal limits, and most of this growth was along the transportation network. Two other studies during this decade also used similar techniques of visual interpretation to map and monitor urban sprawl in the cities of Hisar (Jain et al 1991) and Lucknow (Taragi and Pundir 1997). Both the studies reported a fast rate of urban sprawl along the major transport routes.…”

Section: -1999mentioning

confidence: 99%

A systematic review of urban sprawl studies in India: a geospatial data perspective

Saini

Tiwari

2020

Arab J Geosci

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This paper reviews articles published in the English language and using geospatial data in analysing the state of urban sprawl in India. India is not far behind in the unparalleled global phenomenon of urbanization, with it adding the highest number of urban dwellers by 2050. We review a total of 153 articles involving the use of remote sensing data for studying urban sprawl in India since it was first reported in the 1980s to the present. We find an exponentially increasing trend of urban sprawl studies since the year 2010 attributing to 72% of the total publications. This review helped in finding preferences as regards the most frequently studied city, platforms/sensors used, journals and the most active group carrying out urban sprawl studies. We then group the studies decade wise and report the major findings. Earlier studies mainly focused on the post-classification comparison of multitemporal data. With the advancement of geospatial technology along with the ease of availability of satellite data, there has been a significant spurge in the number and quality of urban sprawl studies in the recent decades and involves advanced methods like spatial metrics, artificial neural network, object-based classification, and different kinds of modelling for future prediction of sprawl. Our findings suggest that sprawl research has evolved significantly over the years. With the availability of a large number of studies and copious amounts of data, the governmental agencies and large organizations should actively formulate a nationallevel database and incorporate these studies in various urban planning decisions.

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“…Remote sensed data sets are used widely in studies, namely, groundwater [21], lake and wetlands [22,23], land use/land cover mapping [24,25], land use/land cover modeling [26,27], crop suitability (Mustak et al 2013), urban land use dynamics, forest mapping [28], soil characterization [29], slope estimation [30], landscape ecology [31], and watershed management [32]. Further, RS technology has proven its application in assessment of wasteland and its temporal monitoring [33,34]. With the advent of satellite remote sensing mapping of degraded land has been started more efficiently at much finer scales [35].…”

mentioning

confidence: 99%

“…Saha et al [41] integrated LANDSAT-TM dataset into GIS environment to map salt-affected and surface waterlogged/marshy lands with an accuracy of about 96% in parts of Aligarh district, Uttar Pradesh, India. Jain et al [33] have identified the highly degraded scrub and sandy land on fringes of town and provided recommendations for future urban planning of the town where further development can be planned to avoid encroachment on good agricultural lands. Wasteland mappings of Karnal district (Haryana, India) using visual, monoscopic interpretations of MS LANDSAT-TM dataset of 1986 and ground truth were attempted [42,43].…”

mentioning

confidence: 99%

Integration of Earth Observation Data and Spatial Approach to Delineate and Manage Aeolian Sand-Affected Wasteland in Highly Productive Lands of Haryana, India

Rawat

Mishra

Singh

2018

International Journal of Geophysics

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The western part of the country India is surrounded by Thar desert. Due to climate change, many regions in the world are facing different challenges. The objective of the study was to quantify the aeolian sand-affected land through integrated approach. The LANDSAT-ETM+ satellite image of 2009 has been used to distinguish recently affected areas by aeolian sand. A combined approach of digital classification backed with visual interpretation and ground verification was adopted. In addition to classification accuracy assessment was performed using field observations. Evidence based results of aeolian sand-affected areas have suggested that wasteland area has increased up to 4,427.55 ha (6.79%) of total geographical area. Two types of aeolian sands areas have been detected, namely, moderately affected (3,881.77 ha) and severely affected (545.79 ha). Moderately and severely affected aeolian soil lands have been more accurately mapped with reasonably good accuracy whereas smaller aeolian affected areas within croplands are mapped with low accuracy. The present study provides easy methodology for delineation, classification, and characterization of aeolian affected sands.

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Mapping and monitoring of urban landuse of Hisar Town, Haryana using remote sensing techniques

Cited by 6 publications

References 2 publications

Monitoring and Prediction of Land Use Land Cover Changes and its Impact on Land Surface Temperature in the Central Part of Hisar District, Haryana Under Semi-Arid Zone of India

Monitoring and Prediction of Land Use Land Cover Changes and its Impact on Land Surface Temperature in the Central Part of Hisar District, Haryana Under Semi-Arid Zone of India

A systematic review of urban sprawl studies in India: a geospatial data perspective

Integration of Earth Observation Data and Spatial Approach to Delineate and Manage Aeolian Sand-Affected Wasteland in Highly Productive Lands of Haryana, India

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