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GeoRes 2021, 36(3): 275-284 Back to browse issues page
Application of Remote Sensing in Assessing Land Use Changes in Haraz Watershed
S. Mola Aghajanzadeh *1, K. Soleymani2, M. Habibnejad3, A. Kavyan2, M. Rahmani4
1- Department of Watershed Management, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran , aghajanzadeh.geo@gmail.com
2- Department of Watershed Management, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran
3- Department of Watershed Management, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran, Babolsar, Faculty of Basic Sciences, Department of Environmental Sciences, University of Mazandaran
4- Department of Environmental Sciences, Mazandaran University, Sari, Iran
Abstract:   (200 Views)
Aims: Land-use change due to human activities is one of the important issues in regional and development planning. The aim of this study was to detect land-use changes using Landsat TM, ETM+, IRS and ASTER satellite imagery.
Methodology: In this quasi-experimental study, land-use changes in the Haraz watershed over a 23-year period were evaluated. For this study, images of 1992 TM, ETM + 2002, and IRS and 2015 ASTER of Landsat satellite were used, and after performing the necessary actions in the preprocessing stage, a supervised classification and change detection map was prepared. Idrisi Andes, ArcGIS, ENVI, Edrisi Andes, and Statistica software were used. Also, to check the significance of the changes, the chi-square test was used in SPSS software.
Findings: The overall accuracy and Kappa coefficient were 0.84 and 0.79 for TM, 0.86 and 0.80 for ETM+, and 0.95 and 0.90 for IRS results respectively. The results showed that rangelands, forest, agricultural lands, and water-covered areas had converted to garden regions, building zone, and no vegetation. The results showed that 2.21%, 1.29%, and 7.01% increased in garden regions, building zone and no vegetation and 5.06%, 4.50% and 0.85% decreased in rangelands, forest, and agricultural lands during 23 years, also water-covered areas decreased.
Conclusion: The land use classes in the Haraz watershed have changed a lot during the time series 1992-2015. During this period, the area of natural lands (forests and pastures) with a rate of change of about 828 hectares per year and the same amount has been added to the area of the garden and residential lands.
Keywords: Change Detection , Land Use , Remote Sensing , Supervised Classification , Haraz Watershed ,
Full-Text [PDF 855 kb]   (46 Downloads)    
Article Type: Original Research | Subject: GIS
Received: 2020/08/31 | Accepted: 2021/04/22 | Published: 2021/09/21
* Corresponding Author Address: Department of Watershed Management, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran
1. Aghajanzadeh S (2015). Effect of land use changes on water quality of Haraz river using from remote sensing techniques [dissertation]. Sari: Agricultural Sciences and Natural Resources of Sari University. [Persian] [Link]
2. Akbari M, Soleimani K, Habibnejad Roshan M, Reisi M (2010). Application of GIS remote sensing in assessing land use change in a case study of Nurabad Lorestan watershed. Geomatics Conference 89, Tehran, National Surveying Organization, 9 April 2010, Tehran, Iran. Tehran: Civilica. [Persian] [Link]
3. Alig RJ, Kline JD, Lichtenstein M (2004). Urbanization on the US landscape: looking ahead in the 21st century. Landscape and Urban Plan. 69(2-3):219-234. [Link] [DOI:10.1016/j.landurbplan.2003.07.004]
4. Amirnejad H (2013). Investigating the effective factors on farmers' desire to change land use in Mazandaran province. Agricultural Economics Research. 5(4):87-106. [Persian] [Link]
5. Ansari N, Seyed Akhlaghi Shal SJ, Ghasemi MH (2008). The socio-economic factor effective on the destruction of the country natural resources and its contribution in the destruction. Iranian Journal of Range and Desert Research. 15(4):508-524. [Persian] [Link]
6. Chen J, Gong P, He C, Pu R, Shi P (2003). Land-use/land-cover change detection using improved change-vector analysis. Photogrammetric Engineering and Remote Sensing. 69(4):369-380. [Link] [DOI:10.14358/PERS.69.4.369]
7. Fan F, Wang Q, Wang Y (2007). Land use and land cover change in Guangzhou, China, from 1998 to 2003, based on Landsat TM/ETM+ imagery. Sensors. 7(7):1323-1342. [Link] [DOI:10.3390/s7071323]
8. Feizizadeh B, Azizi J, Valizadeh K (2007). Extraction of land uses in Malekan city using ETM Landsat 7 satellite images. Journal of Land Management. 2(3):1-10. [Persian] [Link]
9. Gomarsca MA, Brivio PA, Pagnoni F, Galli A (1993). One century of land use in metropolitan area of Milan (Italy). International Journal of Remote Sensing. 14(2):211-223. [Link] [DOI:10.1080/01431169308904333]
10. Hager WH (1987). Lateral outflow over side weirs. Journal of Hydraulic Engineering. 113(4):491-504. [Link] [DOI:10.1061/(ASCE)0733-9429(1987)113:4(491)]
11. Hanifehpour M, Jabbari B (2013). Population growth and change of agricultural land use (case study: Baqershahr). The First National Conference On Geography, Urban Planning and Sustainable Development, 27 February 2013, Tehran, Iran. Tehran: Civilica. [Persian] [Link]
12. Herold M, Scepan J, Clarke KC, (2002). Remote sensing and landscape metrics to describe structures and changes in urban land use. Environment and Planning. 34(8):1443-1458. [Link] [DOI:10.1068/a3496]
13. Jensen JR, Cowen DC (1999). Remote sensing of urban/suburban infrastructure and socioeconomic attributes. Photogrammetric Engineering and Remote Sensing. 65(5):611-622. [Link]
14. Kamusoko C, Aniya M (2007). Land use/cover change and landscape fragmentation analysis in the Bindura district, Zimbabwe. Land Degradation & Development. 18(2):221-233. [Link] [DOI:10.1002/ldr.761]
15. Karami F (2004). Study of Landsat satellite data capability to determine degradation in Zagros forests. Sari: Agricultural Sciences and Natural Resources of Sari University. [Persian] [Link]
16. Khakpor BA, Velayati SA, Kianejad GH (2007). Land use change model for the city of Babol from 1982 to 1998. Journal of Geography and Regional Development. (9):45-64. [Persian] [Link]
17. Lenat DR, Crawford JK (1994). Effects of land use on water quality and aquatic biota of three North Carolina piedmont streams. Hydrobiologia. 294(3):185-199. [Link] [DOI:10.1007/BF00021291]
18. Lu D, Mausel P, Brondizio E, Moran E (2004). Change detection techniques. International Journal Remote Sensing. 25(12):2365-2401. [Link] [DOI:10.1080/0143116031000139863]
19. Mohammad Esmaeil Z (2010). Monitoring land use land cover changes in Karaj by applyin remote sensing. Iranian Journal of Soil Research. 24(1):81-88. [Persian] [Link]
20. Sabzehghabaei GR, Raz S, Dashti S, Yousefi Khanghah S (2017). Study of land use change using geographic information systems and remote sensing techniques (case study: Andimeshk township). Journal of Geography and Development. 15(46):35-42. [Persian] [Link]
21. Scheer L, Sitko R (2007). Assessment of some forest characteristics employing Ikonos satellite data. Journal of Forest Science. 53(8):345-351. [Link] [DOI:10.17221/2181-JFS]
22. Theau J (2006). Detection of changes using remote sensing: an overview of principles and applications. Geo-Spatial and Range Sciences Conference. Unknown Publisher. [Link]
23. Turner BL, Mayer WB, Skole DL (1994). Global land use/land cover change toward an integrated study. Royal Swedish Academy of Science. 23(1):91-95. [Link]
24. Yang X, Lo CP (2002). Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing. 23(9):1775-1798. [Link] [DOI:10.1080/01431160110075802]
25. Yousefi S, Moradi HR, Hoseini SH, Mirzaee S (2011). Land use change detection using landsat TM and ETM+ satellite images over Marivan. Journal of RS and GIS for Natural Resources. 2(3):97-105. [Persian] [Link]
26. Zhang J, Zhang Y (2007). Remote sensing research issues of the national land use change the national land use change program of China. ISPRS Journal of Photogrammetry and Remote Sensing. 62(6):461-472. [Link] [DOI:10.1016/j.isprsjprs.2007.07.002]
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Mola Aghajanzadeh S, Soleymani K, Habibnejad M, Kavyan A, Rahmani M. Application of Remote Sensing in Assessing Land Use Changes in Haraz Watershed. GeoRes. 2021; 36 (3) :275-284
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