Browsing by Author "Vandana Tomar"

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Multi-temporal NDVI and surface temperature analysis for Urban Heat Island inbuilt surrounding of sub-humid region: A case study of two geographical regions
(Elsevier B.V., 2018) Meenu Rani; Pavan Kumar; Prem Chandra Pandey; Prashant K. Srivastava; B.S. Chaudhary; Vandana Tomar; Vinay Prasad Mandal
Rapid growing urban population has resulted in the occupancy of large proportionate of the city and its outskirts, thereby contributing factors to change in the environmental conditions. This has resulted in widespread land acquisition for built up and industrial development, covering the centre of the city while moving at the outskirts of the city as well. Land Use /Land Cover (LULC) changes causes alterations in the land use categories, mostly the concrete forests which has increased the urban temperature as compared to the rural regions due to rapidly growing urbanized environment. Urban Heat Island (UHI) is one of the human-induced environmental phenomenon affecting the urban inhabitant in many ways, such as altering and disturbing the land cover its use which changes thermal energy flow causing elevated surface and air temperature. Temporal satellite datasets (LANDSAT ETM+ image of 1989, 2000 and 2006) can be used to monitor surface temperature while vegetation indices can be used to assess the coverage of the vegetation and non-vegetation area in the region. Temporal NDVI is employed in the study area to analyse the impact of land surface temperature against NDVI in the region. Therefore, temporal remotely sensed data can be used to map LULC and its dynamic changes and other environmental phenomena such as surface temperature over a period of time. Temporal UHI has been estimated using geospatial technology to incorporate it for environmental impact assessment on the surrounding environment. The present research focuses on temporal NDVI and Surface temperature, the methodology used altogether for the assessment of resolution dynamic UHI change on environmental condition for Haridwar district, Uttrakhand India and Kanpur district, Uttar Pradesh in India. Both case study has different environmental conditions, geographical locations and demography. Hilly and forested region with almost no industrial activities for Haridwar while several industrial activities and densely populated region Kanpur located in an Indo-Gangetic plain. The research outcome demonstrates the correlation between temporal NDVI and Surface temperature exemplified with case study conducted over two different regions, geographically as well as economically. There is a need to consider the environmental dimension while making progress to urbanization. © 2018 Elsevier B.V.
Spatial integration of rice-based cropping systems for soil and water quality assessment using geospatial tools and techniques
(CRC Press, 2016) Prem Chandra Pandey; Akhilesh Singh Raghubanshi; Vinay Mandal; Vandana Tomar; Swati Katiyar; N. Ravishankar; Pavan Kumar
Agriculture, being a backbone to of India, provides livelihood to about seventy percent of the population and from an economic point of view, from an economic perspective, contributes forty percent towards Gross National Product. High crop yield is termed as “ e Green Revolution” now days. It depends on the various factors like climatic conditions, soil type, management practices and other inputs like fertilizers. Fertilizers play the role of the main contributing factor in obtaining an enviable crop yield, but the usage of high quality and quantity of fertilizers to gain more crop yield causing considerable environmental complications. Digital processing of remotely sensed sensing data opened up new opportunities for understanding synoptic and substantial changesin the cropping pattern. e present paper is the study ofRice Equivalent Yield (REY) and Sodium Absorption Ratio (SAR) with the e†ect of di†erent fertilizer amounts like Nitrogen (N), Phosphorous (P) and Potassium (K) in the rice-based cropping pattern, i.e., Rice-Wheat, Rice-Maize, Rice-Mustard, Rice-Lytherus in Katihar and Bhagalpur districts of Bihar, India. e spatial maps of rice-based cropping with the availability of N, P and K are illustrated to determine the REY in the study area. e di†erent soil micronutrients, i.e., Organic Carbon (OC), Electrical Conductivity (EC) and pH are also used to examine the spatial discrepancies of rice-based cropping systems productivity. Ultimately the relational pattern has been drawn an equivalent rice ”eld and nitrate between rice equivalent yield and nitrate. © 2017 by Taylor & Francis Group.