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In the study carried out in 8 villages and 27 cotton parcels of Mardin Province Artuklu and Kızıltepe Districts, ambient humidity and temperature values in the field were measured and recorded with data logger devices at 6-hour intervals. The data obtained from the data loggers were analyzed with the Sentinel-1 and Landsat-8 satellite data prepared in the Google Earth Engine (GEE) environment and the relationship between them was examined. While a high correlation was found between ambient humidity (ON) values and VV (R²=0.63), VV-VH (R²=0.68), Soil Moisture Index (SMI) (R²=0.84), low correlation was found between VV (R²=0.51), VH (R²=0.06), VV-VH (R²=0.49), LEE_VH (R²=0.09), LEE_VV (R²=0.49), GAMMA_VH (R²=0.11, GAMMA_VV (R²=0.08), MALIK_VH (R²=0.08), MALIK_VV (R²=0.49), SMI (R²=0.50). A high correlation was found between ambient temperature (OS) values and Land Surface Temperature (LST) (R²=0.80**). However, a low correlation was found between ambient temperature (OS) and VV (R²=0.51), VH (R²=0.06), VV-VH (R²=0.49), LEE_VH (R²=0.09), LEE_VV (R²=0.49), GAMMA_VH (R²=0.11, GAMMA_VV (R²=0.08), MALIK_VH (R²=0.08), MALIK_VV (R²=0.49), SMI (R²=0.50). In large-scale field studies; VV, VV-VH and SMI index in estimating ambient humidity values; as it was concluded that the LST band can be used with high accuracy in estimating ambient temperature values, it has been recommended. [ABSTRACT FROM AUTHOR]