
Kamini Sharma
Kamini Sharma
Research Work

Climate-related disasters have caused numerous fatalities and extensive land and property damage across hilly terrains, from the Himalayas and Western Ghats to similar landscapes worldwide.
With a background in geosciences and expertise in technologies such as AI, computational modelling, and satellite data processing, my mission is to develop tangible solutions and services that help mitigate these disasters.
I am deeply interested in predicting where and when these disasters are likely to occur.
My PhD research focuses on predicting landslide and debris flow multi-hazards using the best available science and technology. I approach this by studying past landslides, their causes and triggers, and numerically modelling their flow paths. By examining the underlying geological processes in depth and simulating them through computational modelling, I aim to identify susceptible slopes and exposed areas that could be affected by these hazards.
I am also experimenting with various physics and AI based models and approaches to forecast landslides, which as seen repeatedly in the Western Ghats and Himalayas, often trigger larger multi-hazard cascades such as debris flows.
My long-term goal is to extend this work to at-risk areas across the globe through my research startup, EarthSpace Labs (ESL). ESL was established out of my broader interest in helping humanity through Earth and planetary sciences and space technology.
I am always happy to talk about projects and to collaborate with anyone working on similar topics. If any of the above looks interesting, feel free to reach out at my email: kaaminisharma212@gmail.com
Also, have a look at my publications and services@ESL page for additional details.
I've developed some open-source tools, which you can view below and on my GitHub.
I also write scientific blogs, which are linked below.
Recent Posts
Research Blog
Research-based tools developed
1. Simple Landslide Detection Tool
Lets anyone detect landslides in their area of interest using satellite data for any time interval; final outputs are saved in Excel. It works globally but needs local tweaking in the code.
A physics-based model for predicting the paths of landslide-triggered debris flows. The model has been successfully evaluated on the 2024 Wayanad debris flow, with its physics tailored specifically for landslide-triggered debris flows.
3. Rainfall Threshold Based Landslide forecasting model
Calculates rainfall thresholds for the occurrence of landslides in any area of interest and predicts their occurrence using a voting system based on different threshold types. This configuration is used in some of the most successful early-warning systems for landslides across the globe. It also needs local tweaking to work.