Search

In monitoring the ecosystem and climatic changes of the geomorphological area estimation of the Land Surface Temperature (LST) is important. In this paper we have estimated the fluctuation in ecosystem by correlating with LST, Atmospheric Temperature, Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), radiation and precipitation using Landsat 8 (OLI/ TIRS) imagery of Dehradun, Uttarakhand, India. Remotely sensed image of three consecutive year's i.e 2014, 2015 and 2016 of November were acquired to observe the correlation and inverse correlation among the parameters. In this paper Dark Object Subtraction and Radiometric Correction are done before image pre-processing Because of the cloud free conditions. Here no Atmospheric Correction is done. Ground trothing is also done to correlate the parameters obtained through satellite imagery. Regression analysis using R2 coefficient is also determined on the above parameters to estimate the correlation among them. R2 coefficient between LST and air temperature, max NDVI and max air temperature, max NDWI and LST, max NDWI and min NDVI shows positive correlation with accuracy equals to 99%. R2 coefficient between Radiation and LST shows inverse correlation which shows the direct impact on ecosystem disturbance. [ABSTRACT FROM AUTHOR]

The paper traces as the prime objective, the students' perspective towards online studies amid COVID-19 pandemic outbreak which has turn out to be of utmost importance due to increased demand to opt for online learning as the only method of teaching and learning. It must also be addressed that the future of online learning is more promising and challenging as well. Overall rating for the acceptance towards online sessions, comfort level of students, ease of classes, access to and submission of the assignments and assessments, delivery of faculties, level of infrastructure available, existing technologies and internet connectivity of the students were recorded. Data was collected from the students of Department of Hospitality Management of a renowned deemed to be university in Dehradun, Uttarakhand, India through questionnaire over eight weeks lockdown period through 84 respondents between April and May 2021. The sample was made up of the undergraduate students. The paper shares a conceptual framework of Students' Perspective towards Online Studies amid COVID-19 Outbreak. [ABSTRACT FROM AUTHOR]

Covid-19 has created unprecedented loss and disruption all across the world. It has impacted every section of human life, ranging from economical desperation to mental dissonance. While the economic impact of the pandemic is widely studied and reported on through the lens of conservative businesses, i.e. manufacturing, production and trading, the tourism sector suffers from the negligence of the researchers. This paper aims to assess the impact of Covid-19 on the tourism industry, especially in the local areas of Uttarakhand, India. Using survey data on the economical variance across different sectors of tourism, this study provides the assessment of monetary lost and the methodological steps that may be taken to revive the local tourism sector. [ABSTRACT FROM AUTHOR]