Utilizing Machine Learning for the Examination of Vegetation Transformations in Dehradun City: A Comprehensive Analysis of Recent Years

Population growth, urban sprawl, agricultural development, and illegal logging have all led to losses of wooded areas in most parts of the world, particularly in highly populated countries like India. Uttarakhand's deforestation rate is rapidly growing as a result of commercial operations. According to statistics given by the forest service, about 50,001 hectares of forest were lost to various activities in the state, where woodlands dominate more than two-thirds of the area, between March 2000 and November 2020. When the numbers were broken down by district, Dehradun had the largest loss, totaling 21,304 hectares. Haridwar finished second with 6,836 hectares, followed by Chamoli (3,637 ha), Tehri (2,672 ha), and Pithoragarh (2,451 ha). This information serves as a warning, especially given that the Forest Survey of India's Report found that forest cover has reduced in three districts of Uttarakhand. The purpose of this work is to predict and anticipate the possibility of vegetation in the research region by examining changes in forest and other vegetation cover in the Dehradun district of Uttarakhand using multitemporal remote sensing data.