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Khodamoradi Kajlar, S., Eslami, M., Bakhshi, M., Sarkargar Ardakani, A., Saadi Esfangareh, R. (2025). A Survey on the Changes in the Vegetation Cover of Zayandehroud Watershed using the Time-series of Satellite Images. Electronic and Cyber Defense, 5(1), -.
Shayan Khodamoradi Kajlar; Mehrdad Eslami; Muhammad Amin Bakhshi; Ali Sarkargar Ardakani; Ramin Saadi Esfangareh. "A Survey on the Changes in the Vegetation Cover of Zayandehroud Watershed using the Time-series of Satellite Images". Electronic and Cyber Defense, 5, 1, 2025, -.
Khodamoradi Kajlar, S., Eslami, M., Bakhshi, M., Sarkargar Ardakani, A., Saadi Esfangareh, R. (2025). 'A Survey on the Changes in the Vegetation Cover of Zayandehroud Watershed using the Time-series of Satellite Images', Electronic and Cyber Defense, 5(1), pp. -.
Khodamoradi Kajlar, S., Eslami, M., Bakhshi, M., Sarkargar Ardakani, A., Saadi Esfangareh, R. A Survey on the Changes in the Vegetation Cover of Zayandehroud Watershed using the Time-series of Satellite Images. Electronic and Cyber Defense, 2025; 5(1): -.

A Survey on the Changes in the Vegetation Cover of Zayandehroud Watershed using the Time-series of Satellite Images

نشریه مهندسی آب و انرژی
Volume 5, Issue 1, April 2025
Document Type: Research Paper
Authors
Shayan Khodamoradi Kajlar1; Mehrdad Eslami2; Muhammad Amin Bakhshi* 3; Ali Sarkargar Ardakani4; Ramin Saadi Esfangareh5
1Master's degree Student of Remote Sensing & GIS, Imam Hossein University, Tehran, Iran
2Assistant Professor, Faculty of Payambar Azam, Imam Hossein University, Tehran, Iran
3Phd Student, Geomatics Department,, Imam Hossein University, Tehran, Iran
4Associate Professor, Faculty of Payambar Azam, Imam Hossein University
5PhD Student and Researcher, Imam Hossein University, Tehran, Iran
Receive Date: 20 October 2024,  Revise Date: 21 October 2024,  Accept Date: 20 January 2025 
Abstract
Changes in the vegetation of an area over time, including agricultural lands and pastures, indicate the change in the condition of its surface and subsurface waters. Reducing or increasing this amount has economic, security, political and socio-cultural consequences. Today, these cases can be surveyed with high precision using the knowledge of remote sensing and the preparation of valuable data collected in the past years. As one of the most important watersheds in central Iran, Zayandehroud watershed has been facing major challenges of water scarcity caused by urban consumption, the upward trend of agricultural and orchard expansion, and unconventional industrial consumption in recent years. For this purpose, in the period of 31 years from 1990 (1368) to 2021 (1399), firstly, using digital elevation data, the area of the Zayandeh Rood watershed was calculated and using satellite images and classification of land cover and land use with the help of two Maximum Likelihood algorithm and Support Vector Machine and comparing their results, the trend of land cover area changes in four classes of vegetation, pasture, urban areas-barren land and water were assessmented. The obtained results show a 31% reduction of the total vegetation cover and its transformation into urban areas-barren land, in contrast to the development of gardens in the west of the study area.
Keywords
Remote Sensing; Change Detection; Zayanderoud; Maximum Likelihood; Support Vector Machine
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