The mango is the most important commercially produced fruit crop in the country. It is referred to as the “king of fruits.” In India, there are many different varieties of mango. India is the world’s largest mango producer, accounting for more than half of global mango production. Because of its adaptability, high nutritional content, variety, excellent taste, and superb flavor, the fruit is popular among the general public. This research focuses on using Sentinel-2 data for 2021 with visible and infrared bands to detect orchard inventory and analyzing soil suitability of mango in Kunda Tehsil, Pratapgarh, Uttar Pradesh. Textural features computed using gray-tone spatial dependence matrices were used in addition to spectral data for enhanced discriminating since mango orchards have unique textural patterns when viewed through space. Unsupervised iso-cluster classification algorithms have been used to estimate mango orchards in this study, and accuracy assessment also has been done based on field verification of mango orchards, so we get an accuracy of 74% for the mango crop field. A final distribution map of mango orchards has been prepared after the intersection of the NDVI map with the classified maps generated by the unsupervised-based classification method. The current mango orchard acreage estimation has been done at the block level in four blocks of Kunda Tehsil, Pratapgarh, Uttar Pradesh. Out of the four blocks, Kunda block has the most mango acreage (12,649.6 ha), followed by Kalakankar block (7758.72 ha), Babaganj block (7524.24 ha), and Vihar block (7524.24 ha) (7308.15 ha).