Both civil society networks and research institutions are generating important information on litter in ecosystems of all kinds. However, divergences in litter categorization and especially the poor comparability of the measured quantities make this information underused, and the much-needed knowledge to guide management strategies remains limited.
The main objective of the Global Litter Observatory (GLO) is to add value to the vast flow of information on litter pollution by improving its comparability, quantitative character, and accessibility. It is a bottom-up programme addressed to increase the empirical support to manage the litter problem.
GLO compiles and processes existing information to deliver more comparable data. To do this, it adoptes a mass-based metric to harmonize datasets. GLO also provides different tools to make data collection more efficient as well as to facilitate the analysis of information.