Analysing the Quality Karaj City Green Spaces using Remote Sensing Ecological Index (RSEI)
Subject Areas :
Nazanin Naseri
1
(M.Sc in Land use planning and Assessment, Department of Environment, Faculty of Natural Resources,
Malayer University, Malayer, Iran)
Milad Hosseinzadeh Niri
2
(M.Sc student of Remote Sensing and GIS, Department of Remote Sensing and GIS, Faculty of Human Sciences, Tarbiat Modares University, Tehran, Iran)
Raoof Mostafazadeh
3
(Associate Professor, Dept. of Natural Resources and member of Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili)
Keywords: Land surface temperature, green space, Environmental quality, NDVI, Ecological quality index,
Abstract :
The increase of human activities has caused disturbances in human ecosystems and environment in different scales. Remote sensing techniques have been found to be effective for quantifying and detecting ecological changes and can be considered as an alternative for monitoring spatial changes in the ecological conditions of the environment. Today, the use of remote sensing data for studies related to the quality of the urban environment has also gained a great attention. In this research, the ecological quality of Karaj city's environment was evaluated and analyzed using Landsat series images in 2010 and 2020 by analyzing the main components of greenness, humidity, dryness and heat to determine four remote sensing ecological indicators. Remote sensing ecological indicators used in environmental quality extraction include LST, NDVI, NDBI and WET. The results showed that the quality of the environment of Karaj city has generally decreased from 2010 to 2022 and the average RSEI has decreased from 0.59 to 0.25, which shows the destruction of the environment of this city due to the expansion of its residential parts. Environmental changes in the study area are closely related to human activities in the form of spatial expansion of residential areas and development, which is caused by the immigration of the study area and its proximity to Tehran. The index used in the present research can adequately reflect the spatial changes of environmental quality from different dimensions and is an effective method for comprehensive evaluation of environmental quality and ecological conditions in urban environments