Abstract:
Enough green area is must needed for healthy and quality life of humans and animals.
Not only physical health but also mental health has relation with Green Areas around.
Various resources in past has examined relationships between green space and a variety
of health outcomes with many researchers finding benefits in terms of levels of physical
activity and relationships with levels of obesity, mental health, and other health
conditions. Green area survey is important and should be done in regular period. With
the help of GIS Software green area can be calculated accurately and quickly. For the
years 2012, 2016, and 2020, multi-temporal Landsat TM/OLI satellite pictures were
used to categorize Land Use/Land Cover (LULC) classes in Rajshahi City Corporation,
Chattogram City Corporation and Rangpur City Corporation, a shift from Green Areas
to an urban region, and the directional distribution of urban areas and Green Areas. All
Landsat pictures were downloaded at a maximum of one-month intervals to eliminate
seasonal variations. The LULC maps were classified using the supervised maximum
likelihood classification technique. ArcMap 10.6.1 software was used to prepare the
maps and MS Excel software was use to do the analyses. The classified maps show a
drastic decrease in green areas in each of the selected city corporation and a rise of
urban land use. Rajshahi City Corporation, Chattogram City Corporation and Rangpur
City Corporation has seen 12%, 17% and 36% decrease in green areas accordingly in
the 8 years’ (2012-2020) time span.