GRSG 34th Conference 2023

Title: A new method for heterogeneous change detection for land monitoring in the Energy and Mining sector.

Author: Charlotte Bishop

Abstract:

Change detection is a critical part of asset and operational monitoring activities. Not only is change detection relevant to the impact of natural phenomena on the landscape but increasingly important to also monitor human induced change. Such information can de-risk, provide operational insights and improve on the ground operations.

Data fusion is a critical part of this process especially with exponentially increasing space assets and opportunities to better exploit the information that different satellites provide.

Funding provided by the Norwegian Government to Norce with partners KSAT and stakeholders from within the Energy sector, has been focused on developing heterogenous change detection to better make use of the diversity of technology now available and implement them within change detection practices to better meet operational requirements.

The presentation will review the method and present case examples from different study areas, and using different sensor types to understand, and identify, the different types of change possible to detect. It will showcase how a data fusion approach to change detection can be beneficial to improve our understanding of the value this technology has to commercial operations.

Change detection is a critical part of asset and operational monitoring activities. Not only is change detection relevant to the impact of natural phenomena on the landscape but increasingly important to also monitor human induced change. Such information can de-risk, provide operational insights and improve on the ground operations.

Data fusion is a critical part of this process especially with exponentially increasing space assets and opportunities to better exploit the information that different satellites provide.

Funding provided by the Norwegian Government to Norce with partners KSAT and stakeholders from within the Energy sector, has been focused on developing heterogenous change detection to better make use of the diversity of technology now available and implement them within change detection practices to better meet operational requirements.

The presentation will review the method and present case examples from different study areas, and using different sensor types to understand, and identify, the different types of change possible to detect. It will showcase how a data fusion approach to change detection can be beneficial to improve our understanding of the value this technology has to commercial operations.