Russian Journal of Earth Sciences

1681-1208

64463

10.2205/2023ES000861

tsparr

ОРИГИНАЛЬНЫЕ СТАТЬИ

ORIGINAL ARTICLES

ОРИГИНАЛЬНЫЕ СТАТЬИ

Integrating Passive and Active Remote Sensing Data with Spatial Filters for Urban Growth Analysis in Urmia, Iran

https://orcid.org/0000-0002-6348-4028

Isazade

Vahid

Isazade

Vahid

Isazade

Esmail

Isazade

Esmail

https://orcid.org/0000-0001-9180-831X

Qasimi

Abdul Baser

Qasimi

Abdul Baser Baser

qasimi.abdul.a@gmail.com

https://orcid.org/0000-0002-5121-5242

Serwa

Ahmed

Serwa

Ahmed

Department of department of geographical science Россия Department of department of geographical science Russian Federation

Department of Urban planning Россия Department of Urban planning Russian Federation

Department of geography, Faculty of Education, Samangan university Россия Department of geography, Faculty of Education, Samangan university Russian Federation

Faculty of Engineering in El-Mataria, Helwan University Россия Faculty of Engineering in El-Mataria, Helwan University Russian Federation

15 12 2023

23 5 1 16 15 05 2023 10 07 2023

https://rjes.ru/en/nauka/article/64463/view

Active remote sensing and related technologies are one of the new tools recently used to monitor complications and urban growth. This research aims to investigate the effect of spatial filters on urban complications. The aim of this paper is to compare Lee, Frost and Average spatial filters with Landsat 8 satellite images and radar images with HH/HV polarization to investigate and identify urban features in the west of Urmia City. The results showed that Filterelli with the kernel 3 x 3 had reduced the spike noise in Alus Palsard satellite radar images in identifying the growth of urban tolls. Also, the results of K-means classification, the Lee filter with kernel size 3 x 3 more accurately identifies the urban features of the west of Urmia City. The kappa coefficient was 0.96%, and the overall accuracy of this filter was 97.36%. Therefore, Lee’s spatial filter has successfully identified the urban features of west Urmia with high accuracy. This system can be implemented in any other field due to its generality and reliability. This system may be a step towards remote sensing automation.

Urbangrowth Activeremotesensing Passiveremotesensing Leefilter Urmia

We, the authors, thank the respected reviewers for reviewing this article. The research does not receive any funding. Data will be available based on request.

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