Mapping phenomena over space and time play a key role in our understanding of the evolution of climate and our impact on the environment. Here
Every prediction of the future carries some level of uncertainty; making this explicit is challenging. We should never forget the importance of accompanying any statement
SUMMARY By carefully checking the assumptions of our modelling approach and the structure of our data, we can pick a better modelling approach that might
Satellite data can help us understand the pattern of change in Vegetation Health due to natural phenomena and human interventions. This, in turn, can support
Nitrogen Dioxide (NO2) is a gaseous air pollutant that is released mainly during fuel combustion from the reaction of nitrogen and oxygen gases. In cities,
Together with Fondazione Eni Enrico Mattei (FEEM) we are developing multiple scenarios to enable universal accessibility to public healthcare in sub-Saharan Africa.
72% of Bali’s land is used for agricultural activities, making agriculture the second-largest contributor to Bali’s income.In response to the 2020 COVID-19 pandemic, policymakers adopted
The purpose of this project is to define and develop an effective and capable monitoring system that can count trucks, estimate their load and measure the daily quantity of waste that goes to landfill and summarize the materials that get recycled.
How soil is impacted by different practices? How dose it change over time? These are few of the questions that we are trying to answer in an experimental project by collecting detail data on many soil properties with the use of state of the art sensors and data analysis.
Decatab, together with Simile, built an AI Platform to improve the accuracy of early warning system alerts to Timor-Leste communities. As a result, target communities will be able to better prepare for and respond to the impacts of climate-induced natural disasters
