Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field. The purpose of this study is to study the shortcomings and strengths of combined radar data and optical images to identify the type of crops in Tarom region (Iran). For this purpose, Sentinel 1 and Sentinel 2 images were used to create a map in the study area. The Sentinel 1 data came from Google Earth Engine’s (GEE) Level-1 Ground Range Detected (GRD) Interferometric Wide Swath (IW) product. Sentinel 1 radar observations were projected onto a standard 10-m grid in GRD output. The Sen2Cor method was used to mask for clouds and cloud shadows, and the Sentinel 2 Level-1C data was sourced from the Copernicus Open Access Hub. To estimate the purpose of classification, stochastic forest classification method was used to predict classification accuracy. Using seven types of crops, the classification map of the 2020 growth season in Tarom was prepared using 10-day Sentinel 2 smooth mosaic NDVI and 12-day Sentinel 1 back mosaic. Kappa coefficient of 0.75 and a maximum accuracy of 85% were reported in this study. To achieve maximum classification accuracy, it is recommended to use a combination of radar and optical data, as this combination increases the chances of examining the details compared to the single-sensor classification method and achieves more reliable information.

No abstract

No abstract

No abstract

Amara, et al2016] Soil suitability assessment for sustainable production of vegetable crops in northern semi-arid region of ...; [Armecin & Cosico; 2010] Soil fertility and land suitability assessment of the different abaca growing areas in Leyte, ...; [Biswas & Baranpal; 2005] Application of fuzzy goal programming technique to land use planning in agricultural ...; [Fontes, et al; 2009] Land suitability, water balance and agricultural technology as a geographic-technological index to support regional planning and economic ...; [Geological Survey of Iran; 1979] Geological map with scale ...; [Givi & Haghighi; 2015] Production potential prediction and quantitative land suitability evaluation for irrigated cultivation of ...; [Jafarzadeh & Abbasi; 2006] Qualitative land suitability evaluation for the growth of onion, potato, maize, and alfalfa on soils of the khalat Pushan ...; [Jalalian, et al; 2008] Qualitative, quantitative and economic land suitability evaluation for wheat, maize and sesame production in Mehran ...; [Khalifeh, et al; 2018] Assessment of land capability for agriculture and rangeland development using hierarchical analysis ...; [Moravej; 2017] Classification and land suitability for the development of deprived areas within the ...; [Najafi, et al; 2014] Implementing of land suitability assessment models for canola cultivation using fuzzy ...; [Organization for Management and Planning of the Country; 1999] Guide to soil ...; [Pakpour, et al; 2013] Assessment of susceptible land for some agricultural crops in some regions of west Azerbaijan province using ...; [Rosa & Privitera; 2013] Characterization of non-urbanized areas for land-use planning of agricultural and ...; [Scherer, et al; 1996] Soil, water and plant characteristics important to irrigation, agricultural ...; [Seyed Jalali, et al; 2014] Comparison of corrected and uncorrected land indices in parametric method ...; [Shadeed, et al; 2017] Developing a GIS-based agro-land suitability map for the faria ...;