Spatial Analysis of Painganga Wildlife Sanctuary and Forest Management
Abstract
Efficient forest management requires accurate and spatially detail information. Present study was undertaken on development of sector (gut) Number–based spatial database of. Painganga Wildlife Sanctuary, located in Yavatmal District, Maharashtra state. For this purpose Geographic Information System (GIS) was used. In Indian forest system, each management unit is called as sector or gut, the mapping of which provides foundation for forest monitoring. Sector wise classification and mapping provide an effective spatial framework for micro-level forest management, identification of degraded areas, monitoring vegetation trends, and conservation strategies. Present study demonstrated that GIS-based sector (gut) mapping is a powerful and practical tool for enhancing forest database systems and supporting sustainable management of protected areas like Painganga Wildlife Sanctuary.
Keywords
Sector Number, Gut Number, GIS Mapping, Painganga Wildlife Sanctuary, NDVI, Remote Sensing, Forest Management, Vegetation Analysis, Micro-Level Planning