Geography - Research Publications

Permanent URI for this collectionhttps://kr.cup.edu.in/handle/32116/93

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Subject: search.filters.subject.Land use land cover

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    Spatial variations of LST and NDVI in Muzaffarpur district, Bihar using Google earth engine (GEE) during 1990-2020
    (Association of Agrometeorologists, 2023-05-30T00:00:00) Sajan, Bhartendu; Kanga, Shruti; Singh, Suraj Kumar; Mishra, Varun Narayan; Durin, Bojan
    The aim of this study is to analyze land cover changes and their effects on land surface temperature (LST) and normalized difference vegetation index (NDVI) in Muzaffarpur district, Bihar, India. The research utilized Landsat 5 and 8 satellite images taken every five years from 1990 to 2020 to classify seven land cover types, namely built-up areas, wetlands, fallow lands, croplands, vegetation, and water bodies, using the Artificial Neural Network technique in ENVI 5.1. The resulting land cover maps reveal a significant decrease in cropland area during the studied period, while fallow land area decreased from 48.06% to 35.79%. Analysis of LST and NDVI data showed a strong negative correlation (R2 <-0.0057) for all years, except for a weak positive correlation (R2 > 0.006). NDVI values were highest in agricultural lands with the lowest LST values, while fallow land areas showed the opposite trend. The study suggests that vegetation and fallow land are crucial determinants of the spatial and temporal variations in NDVI and LST, relative to urban and water cover categories. � 2023, Association of Agrometeorologists. All rights reserved.
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    Assessment of urban sprawl in Bathinda city, India
    (Elsevier B.V., 2019) Guite L.T.S.
    Interaction between space and time is well documented in the study of urban sprawl, where expansion of urban margins becomes the outcome of changing functionality of space within the given time frame. While urban sprawl becomes inevitable phenomena, the paper seeks to identify the role of population growth and sectors of working population that contributed to the sprawl in Bathinda city, Punjab. In this regards, Reilly's law of retail gravitation is analyzed for spatial expansion of built up areas. Using remote sensing and GIS (Geographical Information System) as a platform for creating land use land cover changes from Landsat images reveals the change matrix for the different land use classification. Thus, readdressing urban sprawl as an outcome of increasing retail sector is an interesting finding that perhaps would further enhances knowledge in urban research.