Monitoring and Assessment of Land Use and Land Cover Changes (1977 - 2010) in Kamrup District of Assam, India Using Remote Sensing and Gis Techniques

Kumar, Devendra

doi:10.15666/aeer/1503_221239

Cited by 23 publications

(4 citation statements)

References 45 publications

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“…Variations of false color composite (RGB) show the changes in economic activities from 2015 to 2020. Comparing results of figures 2 to 6, it is clearly observed that unplanned growth of city is one of major threats to reduce the vegetation cover and water bodies which support the similar findings of the study conducted in Assam, India (Kumar, 2017). Hence, in the current scenario the built-up environment aggravates the risk of air, water and land pollution (Naeem, 2018) and elevates the tremendous pressure on the ecosystem and indigenous biodiversity of Lahore.…”

Section: Methodssupporting

confidence: 80%

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Index-based Approach in Relation to Built-up and LST Dynamics; A Study of Lahore, Pakistan

Javid

Akram

Pervaiz

et al. 2021

IJEEG

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In 21st century, cities outpaced in size and also in density due to development of economic sector. Consequently, the wide spread expansion of urban areas is resulting in the loss of productive green cover and water bodies. Therefore, realizing this alarming situation, the present study is aimed to investigate and evaluate the pattern of urban expansion by considering two major land cover types (i) built-up area (ii) other classes (vegetation, waterbody, soil etc.) during the last six years (2015-2020). For this study Sentinel imagery was acquired from USGS Earth Explorer, while Modis Terra images were acquired from World View NASA. New built-up area index (NBUI), normalized difference vegetation index (NDVI), worldview water index (WV-WI) and land surface temperature (LST) were calculated in order to analyze variations in Lahore’s major land cover types and its varying temperature patterns. Spatial analysis presented the obvious impacts of land development on Lahore. NBUI indicated that the built-up area has increased drastically from 34.0% in 2015 to 84.2% in 2020; NDVI analysis depicted a decline from 0.76% to 0.73%, in the green spaces of Lahore during the study period; WV-WI portrayed inconsistent values of water bodies, a gift of massive rise in the built-up area in Lahore. LST results presented that the temperature was 42.21°C in 2015, which simultaneously increased and recorded at 49.51°C in 2020. The increase in LST exhibited the alarming situation for urban environment and can become threat to increase the air pollution level in Lahore. Therefore, this study will serve as a snapshot for policy makers to control the menace of unplanned urbanization by formulating stringent policies to protect environment.

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Section: Methodssupporting

confidence: 80%

“…Similarly, DN is digital number of MODIS imagery. 2016, 2017, 201910 MODIS MOD11A2 32 2015, 2016, 2017, 2019 In these figures, the red from false color composite (RGB) depicts the available vegetation cover of district Lahore. The deep red presents the dense vegetation and the light red tone shows the sparse vegetation.…”

Section: Methodsmentioning

confidence: 99%

Index-based Approach in Relation to Built-up and LST Dynamics; A Study of Lahore, Pakistan

Javid

Akram

Pervaiz

et al. 2021

IJEEG

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“…In 2012-2018, more than 8 million m 2 of housing, 2.8 million m 2 of non-residential property objects, 47 public facilities and 2 metro stations have been constructed and completed. 1989,1994,1998,2007,2010,2015 and 2016 taken by Landsat 5, Landsat 8 or Sentinel 2 (Table 1). The resolution of images allows to detect land use and land cover (LULC) categories of the study area.…”

Section: Methodsmentioning

confidence: 99%

Land-Use Change in New Moscow: First Outcomes after Five Years of Urbanization

Vasenev

Yaroslavtsev

Vasenev

et al. 2019

GES

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Urbanization coincides with remarkable environmental changes, including conversion of natural landscapes into urban. Moscow megapolis is among the largest urbanized areas in Europe. An ambitious New Moscow project expanded the megapolis on extra 1500 km2 of former fallow lands, croplands and forests. The research aimed to monitor land use changes in New Moscow between 1989 and 2016 years. Landsat 5 and Landsat 8 images (30 m spectral resolution) and Sentinel – 2 images (10 m spectral resolution) were analyzed. All the images were collected for the similar summer period (from June to August). The images were preprocessed and classified by Semi-Automatic Classification Plugin in open source QGIS software to derive land cover maps. The following land cover classes were identified: water, built-up areas, bare soils, croplands and forested areas, and the total area covered by each class was estimated. The following land-use change pathways were reported: 1) reduction of the forested areas by 2.5% (almost 2000 ha) between 1989 and 1998; 2) partial reforestation (more than 1000 ha) and abandonment of croplands (more than 3000 ha) between 1998 and 2010 and 3) intensive urbanization (more than 11000 ha) between 2010 and 2016. New build-up areas and infrastructures were constructed on former forested areas and croplands. Although, some uncertainties in the absolute estimates are expected due to the classification errors, the general urbanization trend can be clearly distinguished as a principal outcome after the five years of New Moscow project.

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“…Maximum Likelihood Classifier (MLC) has been widely used in Himalayan regions for the classification of land cover classes [13,16,26,42,43]. LULC built-up map for the years 2016, 2019, and 2022 was created using MLC which utilizes the class statistics derived from labeled training samples and assigns each pixel to the most probable class membership given the pixel's spectral values and the statistical information of the classes [44].…”

Section: Built-up Areas Classificationmentioning

confidence: 99%

Geospatial Assessment Of Urban Sprawl Using Remote Sensing And GIS: A Case Study of Western Himalayan City of Dharmashala, Himachal Pradesh, India.

Mehra,

Swain

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The small cities in the Asian subcontinent are supposedly going to witness exponential growth in the next two decades. The situation could be very challenging in Himalayan cities owing to topo-geographical complexities and limited resources in the region. The increasing population coupled with being a favored tourist destination had resulted in dispersed, inefficient, and unplanned built-up activities in the region. Monitoring the urban sprawl can help in adopting sustainable development strategies equally balanced towards the society and environment. The availability of geospatial data integrated into the GIS interface can help immensely in monitoring and measuring LULC changes and thereby help in formulating necessary interventions and strategies for realizing a sustainable ecosystem. The present study employs Landsat imagery for creating the built-up land cover maps for the year 2016, 2019, and 2022 and the ALOS-PALSAR Digital Elevation Model for understanding the trend and direction of urban sprawl in Dharamshala city. It was found in the study that the built-up dynamic index had increased to 23.3% from the year 2016 to 2022. The built-up growth rate for the study period was found to be 145% for the elevation less than and equal to 1000m, 143% for elevations ranging from 1000-1500m, and 119% for the elevation greater than 1500m. The built-up growth rate for a distance up to 100 m from the streams was 119% from the year 2016 to 2022. The geospatial risk assessment highlights potential threats in the region due to increased built up activities, emphasizing the need for prompt intervention by policy-makers, administrators, and environmentalists to advocate for a sustainable development model.

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Monitoring and Assessment of Land Use and Land Cover Changes (1977 - 2010) in Kamrup District of Assam, India Using Remote Sensing and Gis Techniques

Cited by 23 publications

References 45 publications

Index-based Approach in Relation to Built-up and LST Dynamics; A Study of Lahore, Pakistan

Index-based Approach in Relation to Built-up and LST Dynamics; A Study of Lahore, Pakistan

Land-Use Change in New Moscow: First Outcomes after Five Years of Urbanization

Geospatial Assessment Of Urban Sprawl Using Remote Sensing And GIS: A Case Study of Western Himalayan City of Dharmashala, Himachal Pradesh, India.

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