Support vector machine (SVM) based landform classification in the Precambrian Singhbhum and Rajmahal Protocontinents (Chhotanagpur Plateau), India

Key Points

• The analysis highlights landform classification with a focus on the Precambrian period, indicating geological features.
• Utilizing support vector machine, the classification achieved high accuracy rates in distinguishing various landforms across regions.
• This research combines geospatial analysis with advanced machine learning techniques to enhance environmental understanding.
• The findings may enable more precise geological assessments in ancient continental structures and land formations.