Coherence Estimation Through InSAR Data to Analyze Mountain Glacier Changes

Project Title

Coherence Estimation Through InSAR Data to Analyze Mountain Glacier Changes

Project Area of Specialization Artificial IntelligenceProject Summary

Glaciers are important components of Earth’s natural system. They are sensitive indicators of climate change. Monitoring glacier changes not only can provide useful information on the glacial phenomena but reflect the effects of global warming. Glaciers in the Karakoram region are important freshwater resources for many down-river communities.  Remote sensing as an Innovative technology for natural resource management is important for glacier monitoring. However, the monitoring of glacier in the Karakoram range through remote sensing is not being exploited in a large extent.  Whereas, newly emerged microwave data In-SAR data of Sentinel-1 satellite sensors with its extended capabilities of mountainous glacier monitoring due it weathers in-depended ability is a potential data source for the monitoring of climatically intrinsic mountainous glacier of Karakoram range. Recently applications of artificial intelligence for remotely sensed data has opened a new horizon of glacier monitoring. Therefore, this study is focused on the application of artificial intelligence in conjunction with remotely sensed In-SAR microwave data for monitoring of the mountainous glacier in Hunzza sub basin of Karakoram range. Whereas, the merger of artificial intelligence with state of art of microwave data for monitoring of glacier resources will provide increased accuracy in glacier studies. However, the outcomes of the study will update knowledge of glaciated status in the region.

Project Objectives

1. Application of artificial intelligence to analyze the coherence characteristics of glaciers for the prediction of deformation in glaciers over and ablation period. 
2. Asses the vulnerability of glacier by applying machine learning algorithms for the mitigation of glacier-related risks in downstream settlements.

Project Implementation Method

Data Aquisition

Field Survey

Pre-Processing

Processing and Analysis

Outcomes

Benefits of the Project

1. The project will provide a new horizon for the application of artificial intelligence for  monitoring of glaciers studies
2. The project will be a milestone to initiate a multidisciplinary approach by involving the information technology earth sciences while such kind of initiatives will upraise the role of information technology in other deciplines. 

Technical Details of Final Deliverable

1. A framework to integrate artificial intelligence and machine learning with satellite remote sensing data for monitoring of natural resources like a glacier in mountain ranges.
2. Glacier statistics with enhanced accuracy to evaluate the climatic variation in the region and provide the base knowledge for risk mitigation. 

Final Deliverable of the Project Software SystemType of Industry Education Technologies Artificial Intelligence(AI)Sustainable Development Goals Climate ActionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
Satellite Imagery	Equipment	1	50000	50000
Software	Equipment	1	20000	20000
Filed Visit and Data Validation	Miscellaneous	1	10000	10000