Enhanced green view index

Harish Puppala; Jagannadha Pawan Tamvada; Byungmin Kim; Pranav R T Peddinti

doi:10.1016/j.mex.2022.101824

Enhanced green view index

MethodsX. 2022 Aug 19:9:101824. doi: 10.1016/j.mex.2022.101824. eCollection 2022.

Authors

Harish Puppala¹, Jagannadha Pawan Tamvada², Byungmin Kim³, Pranav R T Peddinti^{3

4}

Affiliations

¹ School of Engineering and Technology, BML Munjal University, Sidhrawali, 122413, Gurugram, Haryana, India.
² Southampton Business School, University of Southampton, SO17 1BJ, UK.
³ Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulju-gun, Ulsan 44919, South Korea.
⁴ Department of Civil Engineering, Pandit Deendayal Energy University, 382007 Gujarat, India.

Abstract

Quantifying street-level greenery has been the subject of interest for researchers as it has several implications for community residents. Green View Index (GVI) is a widely used parameter to compute the greenery along the streets. However, it does not account for the health of the greenery. The new Enhanced Green View Index (EGVI) that we propose computes the amount of greenery along the streets along with the health of the greenery. • The new indicator computes street-level greenery; • Considers the health of vegetation while calculating greenery; and • Helps to study the impact of street-level greenery on community residents precisely.

Keywords: Enhaced green view index (EGVI); Green view index (GVI); Normalized difference vegetation index (NDVI); Street level greenery; Visible atmospherically resistant index (VARI).