1. Abdollahi A, Pourkhosravani M, Afsari F, Madadizadeh F (2018). Monitoring coastal changes using remote sensing (case study: Kish coastal). Geography and Environmental Planning. 30(75):1-16. [Persian] [
Link]
2. Alharthi A, El-Sheikh MA, Elhag M, Alatar AA, Abbadi GA, Abdel-Salam EM, et al. (2020). Remote sensing of 10 years changes in the vegetation cover of the northwestern coastal land of Red Sea, Saudi Arabia. Saudi Journal of. Biological Sciences. 27(11):3169-3179. [
Link] [
DOI:10.1016/j.sjbs.2020.07.021]
3. Ali Bakhshi T, Azizi Z, Vafaeinejad A, Aghamohammadi Zanjirabadi H (2020). Survey of area changes in water basins of Shahid Abbaspour Dam caused by 2019 floods using Google Earth engine. Iranian Journal of Ecohydrology. 7(2):345-357. [Persian] [
Link]
4. Arrechea-Castillo DA, Solano-Correa YT, Muñoz-Ordóñez JF, Pencue-Fierro EL Figueroa-Casas A (2023). Multiclass land use and land cover classification of Andean Sub-Basins in Colombia with Sentinel-2 and Deep Learning. Remote Sensing. 15(10):2521. [
Link] [
DOI:10.3390/rs15102521]
5. Azizi Z, Najafi A, Fatehi P, Pirbavaghar M (2010). Forest stand volume estimation using satellite IRS_P6 (LISS_IV) data (case study: Lirehsar, Tonekabon). Iranian Journal of Forest and Poplar Research. 18(1):143-151. [Persain] [
Link]
6. Dadras M, Helmi ZM, Shafri NA, Biswajeet P, Safarpour S (2015). Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran. The Egyptian Journal of Remote Sensing and Space Science. 18(1):35-52. [
Link] [
DOI:10.1016/j.ejrs.2015.03.005]
7. Emami H, Hasani M, Mirzaei F (2019). Training of Envi software functions in remote sensing and spatial information system engineering. Tabriz: Asr Zendigi [Persian] [
Link]
8. Faizizadeh B (2016). Comparison of pixel-based and object-oriented methods in the preparation of land use maps (case study: Eastern plain of Lake Urmia) [dissertation]. Tabriz: University of Tabriz. [Persian] [
Link]
9. Fatemi SB, Rezaei Y (2016). Principles of remote sensing. Tehran: Azadeh publication. [Persian] [
Link]
10. Ghayour L, Neshat A, Paryani S, Shahabi H, Shirzadi A, Chen W, et al. (2021). Performance evaluation of Sentinel-2 and Landsat 8 OLI data for land cover/use classification using a comparison between machine learning algorithms. Remote Sensing. 13(7):Unknown Pages. [
Link] [
DOI:10.3390/rs13071349]
11. Hamzeh S, Torabi O (2021). Investigation the changes in the water area of Gorgan Bay and its relationship with precipitation and water level of the Caspian Sea by using remote sensing data. Iranian Journal of Ecohydrology. 8(2):475-484. [Persian] [
Link]
12. Jaber Hussein S, Shareef MA, Merzah ZF (2022). Object-based approaches for land use-land cover classification using high resolution quick bird satellite imagery (a case study: Kerbela, Iraq). Geodesy and Cartography. 48(2):85-91. [
Link] [
DOI:10.3846/gac.2022.14453]
13. Javaheri S, Tarahi A (2021). Detection land use changes using satellite images during the period 1984-2019 (case study of Kamiyaran city). Journal of GIS and RS Application in Planning. 12(1):41-56. [Persian] [
Link]
14. Jovanovic D, Govedarica M, Sabo F, Bugarinović Ž, Novović O, Beker T, et al. (2015). Land cover change detection by using remote sensing-A case study of Zlatibor (Serbia). Geographica Pannonica. 19(4):162-173. [
Link] [
DOI:10.5937/GeoPan1504162J]
15. Kamali Maskooni E, Kamali MA, Khanamani A (2019). Investigation and preparation of desertification map based on the Iranian model of desertification potential (IMDPA) with an emphasis on two criteria of soil and vegetation (case study: Faryab-Kerman province). Journal of Environmental Science and Technology. 22(12):163-178. [Persian] [
Link]
16. Khedmatzadeh A, Feizizade B (2022). Assessing urban quality of life using Remote Sensing and GIS (case study: Urmia urban region). Journal of Applied Researches in Geographical Sciences. 22(67):259-279. [Persian] [
Link] [
DOI:10.52547/jgs.22.67.259]
17. Mafi M, Azizi Z, Karimi P, Alemi Safaval P (2021). Investigating the trend of water level changes in Allahabad wetland by using temporal images. Iranian Journal of Ecohydrology. 8(2):321-329. [
Link]
18. Management and Planning Organization of Tehran (2021). Statistical yearbook of Tehran, 2019. Tehran: Planning and Budget Organization Publishing. [Persian] [
Link]
19. Masiliunas D, Tsendbazar NE, Herold M, Lesiv M, Verbesselt J (2019). Change detection in satellite image time series for continuous land cover map updating. Proceedings of ESA Living Planet Symposium; 2019 May 13; Italy: Milan. [
Link]
20. Mirzapour S, Kheirkhah Zarkash MM, Azizi Z (2023). Investigation and forecasting of the drought situation in the Zagros region based on remote sensing indicators and general circulation models of the 20-year period. Iranian Journal of Forest and Range Protection Research. 20(2):317-335. [
Link]
21. Mokhtari A, Azizi Z, Rabiaee Fradonbeh S (2017). Epidemiological study and spatial modeling of peste des petits ruminants (PPR) in central area of Iran. Revista MVZ Córdoba. 22(2):5899-5909. [
Link] [
DOI:10.21897/rmvz.1026]
22. Namdar F, Mahmoudi S, Esmaliouri A, Pazira E (2018). Monitoring of thirty-year land cover changes using remote sensing and GIS (case study: Qaresu watershed, Ardabil). Journal of Environmental Science and Technology. 22(12)):179-190. [Persian] [
Link]
23. Ozsahin E, Duru O, Eroglu I (2018). Land use and land cover changes (LULCC), a key to understand soil erosion intensities in the Maritsa Basin. Water. 10(3):Unknown Pages. [
Link] [
DOI:10.3390/w10030335]
24. Poormohammadi MR (2016). Urban land use planning. Tehran: SAMT Publications. [Persian] [
Link]
25. Rahnama MR, Bolori Z (2022). Analysis of the growth effects of Amol City on The surrounding environment using Remote Sensing and Geographic Information System. Political Organizing of Space. 4(4):288-302. [Persian] [
Link]
26. Rajabi A (2019). Effects of dam construction on physical development and upstream and downstream dam change using remote sensing (case Study: 15 Khordad dam, Qom). Journal of GIS & RS Application in Planning. 10(4):27-46. [Persian] [
Link]
27. Rezaei Moghaddam MR, Valizadeh Kamran Kh, Andaryani S, Almaspoor F (2015). Comparison of ANN and SVM methods in extraction land use/land cover maps from Landsat 8 satellite images (case study: Sufi Chay Basin). Journal of Geography and Planning. 19(52):163-183. [Persian] [
Link]
28. Richards JA (1995). Remote sensing digital image analysis, an introduction. 2nd Edition. Heidelberg: Springer. [
Link]
29. Roostaei S, Mokhtari D, Valizadeh Kamran K, Khodaei Geshlag L (2019). Comparison of pixel-based algorithm (maximum likelihood) and object-based methods (Support Vector Machine) in classification of land use (Ahar-Varzeghan area). Quantitative Geomorphological Research. 8(1):118-129. [Persian] [
Link]
30. Shaterian M, Mousavi SH, Momenbeik Z (2019). Application of remote sensing data in detection of urban land use changes (case study: Shahr-e Kord). Scientific-Research Quarterly of Geographical Data (SEPEHR). 28(111):235-250. [Persian] [
Link]
31. Szarek-Iwaniuk P (2021). A comparative analysis of spatial data and land use/land cover classification in urbanized areas and areas subjected to anthropogenic pressure for the example of Poland. Sustainability. 13(6):Unknown Pages. [
Link] [
DOI:10.3390/su13063070]
32. Theodoridis S, Koutroumbas K (2003). Pattern recognition. 2nd Edition. Massachusettes: Elsevier Academic press. [
Link]
33. Xie G, Niculescu S (2021). Mapping and monitoring of land cover/land use (LCLU) changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by machine learning algorithms (Support Vector Machine, random forest, and Convolutional Neural Network) and by Post-Classification Comparison (PCC). Remote Sensing. 13(19):Unknown Pages. [
Link] [
DOI:10.3390/rs13193899]
34. Yang C, Rottensteiner F, Heipke C, (2018). Classification of land cover and land use based on convolutional neural networks. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 4(3):251-258. [
Link] [
DOI:10.5194/isprs-annals-IV-3-251-2018]
35. Yousefi Kebria D, Abaskhanian G, Ghanbari Parmehr E (2020). Detection of oil spill hotspots in the Caspian Sea using remote sensing (case study: Baku oil extraction facility). Environmental Sciences. 18(3):152-166. [Persian] [
Link] [
DOI:10.29252/envs.18.3.152]