ADB is committed to achieving a prosperous, inclusive, resilient, and sustainable Asia and the Pacific, while sustaining its efforts to eradicate extreme poverty.
Established in 1966, it is owned by 68 members—49 from the region.
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ACCOUNTABILITY
ADB supports projects in developing member countries that create economic and development impact, delivered through both public and private sector operations, advisory services, and knowledge support.
Paolo Manunta
Paolo Manunta is Senior Infrastructure Specialist in ADB’s Sustainable Development and Climate Change Department (SDCC). He specializes in Earth Observation (EO), online Geographic Information Systems (GIS), and Spatial Data Infrastructure (SDI). Paolo helps set up geospatial initiatives and has worked on cloud-based integration of EO, GIS, and Artificial Intelligence (AI) in Timor-Leste, Cambodia, Kazakhstan, Indonesia, Georgia, Armenia, Mongolia and other ADB Developing Member Countries.
Paolo has co-authored several knowledge products and is currently working on a project deploying satellite imagery and AI for land use and coastal planning. To ensure financial sustainability in ADB Developing Member Countries, Dr. Manunta promotes ADB digital solutions in collaboration with several potential European donors as part of a joint initiative with the World Bank and the European Space Agency (ESA).
Paolo joined ADB as a secondee from the European Space Agency (ESA). His Asia experience started in 2014 with a transport project in Papua New Guinea that led to a full-time secondment to ADB in 2017 and eventually became a staff in 2022. After completing his PhD, Paolo Manunta worked in Canada for the Provincial Government of Alberta on climate change modelling. He has also worked extensively in the private sector in Italy.
Author
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Optimization of Canal Management Based on Irrigation Performance Analysis Using Satellite Measurements
This brief discusses how remote sensing and satellite imagery were used for irrigation evaluation at the Lower Bari Doab Canal in Punjab, Pakistan. It identifies solutions to maximize the delivery of scarce water resources in irrigation systems.
The remote sensing-based decision support system provides insight into irrigation requirements and potential water distribution improvements at the at the Lower Bari Doab Canal. The study presented in the brief highlights the potential of the system as a tool for improving irrigation management, monitoring, evaluation, and productivity.