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Earth Science Informatics
Erschienen in: Earth Science Informatics 4/2023

25.10.2023 | Research

Spatial relationship of Remote Sensing Ecological Indicator (RSEI) and landscape metrics under urban development intensification

verfasst von: Nazanin Naseri, Raoof Mostafazadeh

Erschienen in: Earth Science Informatics | Ausgabe 4/2023

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Abstract

In recent years, environmental issues such as global warming and climate change have led to an increased focus on finding solutions to reduce its impacts, especially in urban areas. Remote sensing data have become an increasingly popular tool for conducting environmental assessment studies. The objective of this study was to assess and analyze the ecological environmental quality of Karaj County using Landsat satellite imagery of 2010 and 2020. In addition, the spatial pattern of landscape metrics has been quantified to assess the spatial pattern of green spaces. The greenness, moisture, dryness, and heat indicators were combined into a comprehensive RSEI index. The importance of the sub-indicators was determined using principal component analysis and weighted to obtain the RSEI index, which consists of the components LST, NDVI, NDBI, and wetness. The results indicate that the overall quality of the ecological environment in Karaj district has decreased, with the mean RSEI decreasing from 0.59 to 0.25. Landscape characteristics of the ecological environment have changed to a more separated, incoherent, and irregular pattern. Specifically, RSEI values had a significant correlation with landscape pattern change. The value of the COHESION metric has decreased and the value of the Edge Density has increased, which indicates the separation of the green space in the study area. These results could be valuable information for decision makers in managing or achieving an optimal eco-environment landscape pattern in urbanized areas.
Vorheriger Artikel Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data
Nächster Artikel Exploring soil property spatial patterns in a small grazed catchment using machine learning

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Metadaten
Titel
Spatial relationship of Remote Sensing Ecological Indicator (RSEI) and landscape metrics under urban development intensification
verfasst von
Nazanin Naseri
Raoof Mostafazadeh
Publikationsdatum
25.10.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Earth Science Informatics / Ausgabe 4/2023
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-023-01119-z

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