Abstract
The objective of this paper is to demonstrate how recent technological developments in remote sensing, surveillance, and associated computing capabilities known as Imagery-Based Analysis and Assessment (IBAA) combined with the Community-Based Participatory Research (CBPR) approach are revolutionizing the ESIA process. The science-based IBAA analytical approach (which includes high-resolution, multi-spectral satellite imagery and LiDAR-derived digital surface and terrain modeling) aims to efficiently and accurately classify environmental and social sensitivities and quantify anticipated impacts from project activities while reducing the amount of time needed by scientists in the field to undertake baseline surveys. The results of the IBAA are then shared with local communities, NGOs, and other stakeholders and the CBPR approach implemented in order to validate the data and share in the decision-making process for mitigation measures. This allows for capacity-building of local regulators and stakeholders and empowers project-affected communities. A coastal-wide ecosystem services assessment in Guyana (the first ever of its kind) will serve as a case study for this paper to illustrate the technical, commercial, and societal benefits of coupling the IBAA with the CBPR approach. This paper will culminate in the proposal of new industry best practice for utilizing the joint IBAA-CBPA methods to improve rigor in baseline data collection and increase social license to operate.
Guyana's Coastal Ecosystem Services Baseline Assessment: A case study on how baseline data collection using imagery-based analysis coupled with validation through community participation is revolutionizing the ESIA process.
