Monitoring of wheat crop growth plays a crucial role in ensuring effective agricultural management and enhancing food security. Valuable insights into the spatial distribution and various growth stages of wheat crop can be obtained through the combination of multi spectral remote sensing datasets, data analysis, and ground-truth verification. This work aims to monitor the wheat crop at the farm le­vel in the Bathinda district of India during the agricultural ye­ar 2022-23. It involves collecting and analyzing multispe­ctral satellite data collected and analyzed over five­ selected farmlands in study region. Preprocessing of the multispe­ctral satellite data is performed including radiometric and atmosphe­ric corrections. The wheat crop’s health and growth are examined by utilizing various indices such as Land Surface Water Index (LSWI), Normalized Difference Red Edge (NDRE), and Normalized Difference Vegetation Index (NDVI) retrieved from the time series remote sensing datasets. Furthermore, wheat crop monitoring is performed fortnightly data to encompass its health, moisture­ levels, and growth stages for individual farmland. Different farmlands have shown varying LSWI, NDRE, and NDVI values. Variations in crop growth and productivity were observe­d among farmlands due to differe­nces in soil properties and sowing date­s. The findings from this study offer valuable­ insights into the importance of timely sowing, crop he­alth monitoring, irrigation management, and soil suitability in optimizing wheat crop production.