Asghari Saraskanrood, S., & Sharifi Tolaroud, H. (2023). Remote Sensing Used to Detect Changes in Land Use and Forest Cover (A Case Study of Astara City). Land Management Journal, 11(2), 195- 208. doi: 10.22092/lmj.
2023.362257.332. (inPersian).
Ayenew, T. (2003). Evapotranspiration estimation using thematic mapper spectral satellite data in the Ethiopian rift and adjacent highlands. Journal of hydrology, 279(1-4), 83-93.
Bakr, N.; Weindorf, D.C.; Bahnassy, M.H.; Marei, S.M. & El-Badawi, M.M., (2010). Monitoring land cover changes in a newly reclaimed area of Egypt using multi-temporal Landsat data. Applied Geography, 30: 592-605.
Biau, G., & Scornet, E. (2016). A random forest guided tour. Test, 25, 197-227.
Cohrs, C. W., Cook, R. L., Gray, J. M., & Albaugh, T. J. (2020). Sentinel-2 leaf area index estimation for pine plantations in the southeastern United States. Remote Sensing, 12(9), 1406.
Dubath, P., Rimoldini, L., Süveges, M., Blomme, J., López, M., Sarro, L. M. & Eyer, L. (2011). Random forest automated supervised classification of Hipparcos periodic variable stars. Monthly Notices of the Royal Astronomical Society, 414(3), 2602-2617.
Papadavid, G., Neocleous, D., Kountios, G., Markou, M., Michailidis, A., Ragkos, A., & Hadjimitsis, D. (2017). Using SEBAL to investigate how variations in climate impact on crop evapotranspiration. Journal of Imaging, 3(3), 30.
Hashemi, S. A., FATEMI, T. S., KAVOUSI, K. H., & MADANIPOUR, K. M. (2016). Change detection in the forest cover of Siyahmezgi watershed of Guilan using LandSat images.Journal of RS and GIS for Natural Resources, 7(3): 78-88. (in Persian)
Huete, A. R., Liu, H. Q., Batchily, K. V., & Van Leeuwen, W. J. D. A. (1997). A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote sensing of environment, 59(3), 440-451.
Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote sensing of environment, 25(3), 295-309.
Khedmatzadeh, A., mousavi, M., Mohamadi Torkamani, H., & Mohammadi, M. S. (2021). An Analysis of Land Use Changes and Thermal Island Formation in Urmia City exclusion Using Remote Sensing. Regional Planning, 11(41), 119-134. doi: 10.30495/jzpm.2021.3965. (inPersian)
Maghsoudi, M., Ganjaeian, H., & Hoseini, S. (2018). Evaluating the Effectiveness of Supervised and Unsupervised Classification Methods in Monitoring Regs (Case Study: Jazmourian Reg). Journal of Arid Regions Geographic Studies, 9(32), 81-92. (inPersian)
Mendoza, M. E., Granados, E. L., Geneletti, D., Pérez-Salicrup, D. R., & Salinas, V. (2011). Analysing land cover and land use change processes at watershed level: a multitemporal study in the Lake Cuitzeo Watershed, Mexico (1975–2003). Applied Geography, 31(1), 237-250.
Nath, B., & Acharjee, S. (2013). Forest cover change detection using normalized difference vegetation index (NDVI): a study of Reingkhyongkine lake’s adjoining areas, Rangamati, Bangladesh. Indian Cartogr, 33(2), 348-403.
Phiri, D., Simwanda, M., Salekin, S., Nyirenda, V. R., Murayama, Y., & Ranagalage, M. (2020). Sentinel-2 data for land cover/use mapping: A review. Remote Sensing, 12(14), 2291.
https://doi.org/10.3390/rs12142291
Rosenzweig, C., Solecki, W., & Slosberg, R. (2006). Mitigating New York City’s heat island with urban forestry, living roofs, and light surfaces. A report to the New York State Energy Research and Development Authority, 1-5.
Shahbazi, M., Kermanshahani, S., Ahmadi, H., Jamshidi, M., Kakvand, P., & Rezaei, H. (2020). Indigenous knowledge of flood management and floodwater spreading in Qazvin traditional garden; deserves a new look at conservation and restoration. Iranian Journal of Rainwater Catchment Systems, 8(1), 1-12. (inPersian)
Soltani, M. (2024). Estimating maize canopy cover percent by means of image processing algorithms. Water and Irrigation Management, 14(1), 111-122. doi: 10.22059/jwim.2023.364331.1098. (inPersian)
Sun, Z., Wei, B., Su, W., Shen, W., Wang, C., You, D., & Liu, Z. (2011). Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China. Mathematical and Computer Modelling, 54(3-4), 1086-1092.
Tempfli, K., Huurneman, G. C., Bakker, W. H., Janssen, L. L. F., Feringa, W. F., Gieske, A. S. M., Grabmaier, K. A., Hecker, C. A., Horn, J. A., Kerle, N., van der Meer, F. D., Parodi, G. N., Pohl, C., Reeves, C. V., van Ruitenbeek, F. J. A., Schetselaar, E. M., Weir, M. J. C., Westinga, E., & Woldai, T. (2009). Principles of remote sensing: an introductory textbook. (ITC Educational Textbook Series; Vol. 2). International Institute for Geo-Information Science and Earth Observation.
Timmermans, W. J., Kustas, W. P., Anderson, M. C., & French, A. N. (2007). An intercomparison of the surface energy balance algorithm for land (SEBAL) and the two-source energy balance (TSEB) modeling schemes. Remote Sensing of Environment, 108(4), 369-384.
Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote sensing of Environment, 8(2), 127-150.
Uossef Gomrokchi, A., Akbari, M., & Yunesi, M. (2019). Estimation of biological water rights of traditional orchards in Qazvin using remote sensing capabilities. Journal of Environmental Studies, 45(2), 237-252. doi: 10.22059/jes.2019.275208.1007816. (inPersian)
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