01910nam a22001097a 4500008004100000100004400041245005600085260001700141300003200158520159300190773001701783251111b           ||||| |||| 00| 0 eng d  aNegi, Satish Kuamr and Shekhar, Shashi   aLandslide vulnerably mapping for Himachal Pradesh    aCoordinates   a 21(10), Oct, 2025: p.13-18  aThis study addresses the escalating threat of landslides in Himachal Pradesh, exacerbated by a combination of a fragile Himalayan ecosystem, a heavy monsoon climate, and unplanned human development. The devastating 2025 monsoon season, which resulted in over 360 fatalities and crores in economic losses, underscores the urgent need for effective risk mitigation. We present a detailed landslide vulnerability map developed on the Google Earth Engine (GEE) platform using a Weighted Overlay Model. The methodology integrates nine key parameters, including rainfall intensity, slope, land use change (particularly implemented through forest loss during 2000-2020), and proximity to roads apart from others, with each factor assigned a weight based on its contribution to landslide risk. Our analysis highlights that the mid-hills, where a mix of steep terrain and human settlements exists, are the most vulnerable. Specific high-risk zones were identified in districts such as Kullu, Mandi, Shimla, Chamba and Kinnaur. The resulting map serves as a vital tool for informing policy decisions and enhancing disaster preparedness. The paper concludes by emphasizing the critical need for sustainable development and resilient planning to safeguard Himachal Pradesh’s fragile landscape from future catastrophes. Note: The analysis presented here is the sole responsibility of the authors and does not reflect the views of their respective organizations. The findings are based on secondary data and are intended as an academic exercise.- Reproduced


https://mycoordinates.org/pdf/oct25.pdf
  aCoordinates