برآورد سطح زیرکشت محصولات کشاورزی با استفاده از تصاویر ماهواره لندست 8 (مطالعه موردی: شهرستان شوشتر)

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Alipour, F., Aghkhani, M., Abasspour-Fard, M., & Sepehr, A. (2014). Demarcation and Estimation of Agricultural Lands Using ETM+ Imagery Data (Case study: Astan Ghods Razavi Great Farm). Journal of Agricultural Machinery, 4(2), 244-254. (In Persian).

Arekhi, S., & Fathizad, H. (2015). Evaluating the Efficiency of Four Artificial Neural Network Methods in Preparing Land Cover/Land Use Map Using ETM+ Data. Geography and Development Iranian Journal, 12(37), 133-146.

Arekhi, S., & Adibnejad, M. (2011). Efficiency assessment of the Support Vector Machines for land use classification using Landsat ETM+ data (Case study: Ilam Dam Catchment). Iranian Journal of Rangeland and Desert Research, 18(3), 420-440.

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Dixon, B., & Candade, N. (2018). Multispectral landuse classification using neural networks and support vector machines: one or the other, or both? International Journal of Remote Sensing, 29(4), 1185-1206.

Entezari, A., Zandi, R., & Khosravian, M. (2019). Evaluation of spatial variations of vegetation and surface temperature using Landsat and midsize images, case study: Fars Province, 1967-2017. Watershed Engineering and Management, 11(4), 929-940. (In Persian).

Feizizadeh, B., Didehban, K., & Gholamnia, K. (2016). Extraction of Land Surface Temperature (LST) based on Landsat Satellite Images and Split Window Algorithm Study area: Mahabad Catchment. Scientific- Research Quarterly of Geographical Data (SEPEHR), 25(98), 171-181. (In Persian).

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Gumma, M.K., Thenkabail, P.S., Teluguntla, P., Rao, M.N., Mohammed, I.A., & Whitbread, A.M. (2016). Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250m time-series data, International Journal of Digital Earth, 9(10), 981-1003.

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Jain, M., Mondal, P., Galford, G.L., Fiske, G., & Fries, R.S. (2017). An approach to map winter cropped area of smallholder farms across large scales using MODIS imagery. Remote Sensing, 9(6), 566.

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Joshi, PK., Roy, P., Singh, S., Agrawal, S., & Yadav, D. (2006). Vegetation cover mapping in India using multi-temporal IRS Wide Field Sensor (WiFS) data. Remote Sensing of Environment, 103(2), 190-202.

Kavzoglu, T., & Colkesen, I. (2009). A kernel functions analysis for support vector machines for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11(5), 352-359.

Keuchel, J., Naumann, S., Heiler, M., & Siegmund, A. (2003). Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data. Remote Sensing of Environment, 86(4), 530-541.

King, L., Adusei, B., Stehman, S.V., Potapov, P.V., Song, X.P., Krylov, A., Bella, C.D., Loveland, T.R., Johnson, D.M., & Hansen, M.C. (2017). A multi-resolution approach to national-scale cultivated area estimation of soybean, Remote Sensing of Environment, 195, 13-29.

Knorn, J., Rabe, A., Radeloff, V.C., Kuemmerle, T., Kozak, J., & Hostert, P. (2009). Land cover mapping of large areas using chain classification of neighboring Landsat satellite images. Remote Sensing of Environment, 113(5), 957-964.

Kumar, P., & Jeganathan, C. (2017). Monitoring Horizontal and Vertical Cropping Pattern and Dynamics in Bihar over a Decade (2001-2012) Based on Time-Series Satellite Data. Journal of the Indian Society of Remote Sensing, 45(3), 485-502.

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Nateghi, S., Nohegar, A., Ehsani, A.H., & Bazrafshan, O. (2018). Evaluation of vegetation changes based upon vegetation indices using remote sensing. Iranian Journal of Range and Desert Research, 24(4), 778-790.

Moradi, A.R., Jafari, M., Arzani, H., & Ebrahimi, M. (2016). Assessment of land use changes into dry land using satellite images and Geographical information system (GIS). RS & GIS Techniques for Natural Resources, 7(1), 89-100.

Mousavi, S. A., Abbaszadeh Tehrani, N., & Janalipour, M. (2021). Estimation of the train wheat under cultivation area using Sentinel-2 satellite images (Case study: Sojasroud region, Khodabandeh city, Zanjan province). Journal of Environmental Research and Technology, 5(7), 17-28.

Mushtaq, A.G., & Asima, N. (2014). Estimation of apple orchard using remote sensing and agro- meteorology land based observation in Pulwama district of Kashmir valley, International Journal of Remote Sensing and Geoscience, 3(6), 21-26.

Nateghi, S., Nohegar, A., Ehsani, A., & Bazrafshan, O. (2017). Evaluating the vegetation changes upon vegetation index by using remote sensing. Iranian Journal of Range and Desert Research, 24(4), 778-790. (In Persian).

Nguyen, D. B., & Wagner, W. (2017). European rice cropland mapping with Sentinel-1 data: The Mediterranean region case study, Water, 9(6), 392.

Petropoulos, G.P., Kontoes, C., & Keramitsoglou, I. (2011). Burnt area delineation from a unitemporal perspective based on Landsat TM imagery classification using support vector machines. International Journal of Applied Earth Observation and Geoinformation, 13(1), 70-80.

Rahimzadegan, M., & Pourgholam, M. (2017). Identification of the area under cultivation of Saffron using Landsat-8 temporal satellite images (Case study: Torbat Heydarieh). Journal of RS and GIS for Natural, 7(4), 97-115. (In Persian).

Riahi, V., Zeaiean Firouzabadi, P., Azizpour, F., & Darouei, P. (2019). Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images. Researches in Geographical Sciences. 19(52), 147-169. (In Persian).

Sadoghi, H., Rajaee, T., & Rouhani, N. (2021). Identification and Investigation of Changes in Area of Hoseynabade Mishmast Village Using Satellite Images. JWSS, 24(4), 239-254. (In Persian).

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Yadav, I.S., Rao, N.S., Reddy, B.M.C., Rawal, R.D., Srinivasan, V.R., Sujatha, N.T., Bhattacharya, C., Rao, P.P.N., Ramesh, K.S., & Elango, S. (2002). Acreage and production estimation of mango orchards using Indian remote Sensing (IRS) satellite data, Scientia Horticulturae, 93(2), 105-123.