In this article analysed land cover and land use and ecological changes for last 50 years in Syrdarya Province. these analysis provided by using RS landsat archive images. With the help of Landsat MSS and OLI was created land use and classification maps for 1972 and 2014 for the Syrdarya Province. Classification analysis was done by using eCognition Developer 9 program and by using Geographical object based image analysis (GEOBIA). The accuracy of results has been verified with visual comparing field and adminstrative data, accuracy are 95%. According to results, natural and desert are in Syrdarya was decreased to 1 1%.
1. Chen, G., Hay, G.J., Carvalho, L.M.T. & Wulder, M.A. (2012). Object-Based Change Detection. International Journal of Remote Sensing, 33 (14): 4434–445 7. 2. Chen, Z., Ning, X. & Zhang, J. (2012). Urban Land Cover Cla ssification Based on W orldView-2 Image Data. Geomatics for Integrated Water Resources Management. DOI: 10.1109/GIWRM.2012.6349578. 3. Chen, X., Bai, J., Li, X., Luo, G., Li, J. & Li, B.L. (2013 ). Changes in Land Use/land Cover and Ecosystem Services in Central Asia during 1990–2009. Current Opinion in Environmental Sustainability, 5 (1): 116–127. 4. Gyuris, M.P. (2010). WP4-satellite remote sensing deliverable d4. 1 report on the limitations and potentials of satellite EO data. Impact monitoring of m ineral resources explotation, Geonardo, Hongrie. p. 144. http://www impactmin.eu/downloads/impactmin_d41.pdf. Last access: 12.10.2016. 5. Giniyatullina, O.L., Potapov, V.P. & Schactlivtcev, E.L. (2015). Integral Methods of Environmental Assessment at Mining Regions Based on Remote Sensing Data. Inte rnational Journal of Engineering and Innovative Technology, 4 (4): 220-224. 6. Navulur, K. (2006). Multispectral Image Analysis Using the Object-Oriented Paradigm. Taylor and Francis Inc CRC Press, New-Y ork, p. 190. 7. Platt, R.V. (2014). Wildfire Hazard in the Home Ignition Zone : An Object-Oriented Analysis Integrating LiDAR and VHR Satellite Imagery . Applied Geography, 51: 108–117. 8. Blaschke, T., Hay, G.J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Feitosa, R.Q., Mer, F., Wreff, H. & Coillie, F. (2014). Geographic Object-Based Image Analysis – Towards a New Paradigm ISPRS Journal of Photogrammetry and Remote Sensing , 87: 180–191. 9. Projet Uzkommunservice, (2010). Water Supply of Syr-Darya province. W orld Bank project; Tashkent, Uzbekistan, 2010, p. 159. (on Russian language). 10. http://glovis.usgs.gov/ 11. Trimble, (2014). Reference book. eCognition Developer 9.0. 15-De cember, Trimble Germany GmbH, Munich.
Akmalov, Sh; Blanpain, O; and Masson, E
"STUDY OF ECOLOGICAL CHANGES IN SYRDARYA
PROVINCE BY USING THE REMOTE SENSING
AND GEOBIA ANALYSIS METHOD,"
Irrigation and Melioration: Vol. 4
, Article 1.
Available at: https://uzjournals.edu.uz/tiiame/vol4/iss4/1