SHELscape is a spatially-explicit agent-based model for understanding short-run post-natural disasters non-linear adjustment processes in a multi-market framework.
The GROW Citizen Observatory was developed in a Horizon 2020 funded project to engage citizens (interested in growing food and improving the health of their soils) in sharing their data with a large community of growers across Europe.
Data collection using mobile technology has facilitated the collection of in situ or ground-based data on land use/land cover including geo-tagged photographs that document the landscape.
Several data collection activities related to forest cover, forest biomass and forest management have been coordinated by IIASA’s NoDES group in the past
The IIASA/ESM based BGC-MAN model was calibrated and validated with TrEco data for the dominant ecosystems and land use forms of the Congo basin, including virgin forests, managed forests, forest fallows after shifting cultivation and savannahs.
Data on the key drivers of tropical forest loss were collected using the Geo-Wiki platform. The data, collected within a geographical area of 30 degrees North and South of the equator, are openly available and are already being used in different studies.
Data on built-up surfaces around the world were collected via a Geo-Wiki campaign, where this data set is intended for use as an independent validation of global maps of built-up surfaces.
The CAMALIOT mobile app for crowdsourcing is used to collect data transmitted by the Global Satellite Navigation System (GNSS) for scientific applications such as weather forecasting and improving positional accuracy
Biodiversity patterns in natural ecosystems are dynamically sustained by food webs, describing the feeding relations among all ecosystem compartments, including the involved animal and plants.
A model to reproduce historical wildfire events and to project future burned areas, as well as to assess climate change impacts and adaptation options.
OSCAR is a model of reduced-complexity that describes the interactions between large-scale components of the Earth system that relate to anthropogenic climate change. Its modules are calibrated to emulate the behavior of complex process-based models.