• Sagar Ketan Nagda
• Bajrang L. Ayare
• Rasika R. Mhapsekar
• Vaishnavi V. Patil
• Avantika U. Patil

The current need for data refinement has been increasing over the years as more and more data is being produced at an uncontrolled and unrestricted rate. Whether this data be of numbers or images, the productive use and output obtained from the data should be of the highest quality possible, with it having undergone as much fine-tuning as feasibly possible. It is imperative that produced LULCs (Land Use Land Cover) display as much of an accurate scenario of a location as possible. This can be done through the improvement of datasets used while performing the classification. The study attempts to present an optimal solution to the current landscape, while also reducing the amount of information loss that occurs when creating an LULC. For the study, the area of Jog River Watershed (265.902 km2) in Ratnagiri district of western Maharashtra was used. The delineated watershed and False Colour Composites created for both the resolutions in QGIS were used to perform a Supervised Image Classification in SAGA GIS. The method used was Maximum Likelihood. Once the classification was obtained, a third party was requested to perform the accuracy assessment and a satisfactory Kappa coefficient was obtained. Using the final LULC maps, a comparison was made. The comparison showed that the change in area for each class was; Water (0.08%), Scrub (5.26%), Built-Up (0.78%), Wasteland (2.04%), Plantation (0.48%), Open Soil (1.46%). From the different analyses made, it was evident that the 5m (LISS IV) resolution LULC was superior in all aspects. It had greater clarity, finer edges, and even managed to provide greater detail about the area as compared to the 10m (Sentinel 2A) resolution watershed. As a result, it was concluded that the 5m (LISS IV) resolution data should be used for further studies to improve and refine the data obtained through its use.

LULC, Maximum Likelihood, Spatial Resolution, Remote Sensing

"STUDY ON EVALUATING THE IMPACTS OF SPATIAL RESOLUTION ON LAND COVER AND LAND USE CLASSIFICATION ACCURACY USING REMOTE SENSING AND GIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.g310-g316, February-2024, Available :http://www.jetir.org/papers/JETIR2402641.pdf

"STUDY ON EVALUATING THE IMPACTS OF SPATIAL RESOLUTION ON LAND COVER AND LAND USE CLASSIFICATION ACCURACY USING REMOTE SENSING AND GIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppg310-g316, February-2024, Available at : http://www.jetir.org/papers/JETIR2402641.pdf