Lead Researchers: Eduardo Brondizio (Indiana University), Charles Vorosmarty (City College of New York), Yoshiki Saito (Geological Survey of Japan)
Although relevant datasets for regional delta studies are available in many forms—e.g. remote-sensing , topography, land-use, ecosystem services, flood extent, sediment loads, climatology, historical storms, socio-economics, and management governance, among others—they are widely dispersed and thus provide limited utility for researchers and end-users. Thus, a major effort of the DELTAS project will be to compile and store observational and modeling data at a range of spatial scales, from global to sub-delta, and temporal scales (Delta-DAT).
An IT backbone will be developed using the latest advancements in Earth system data processing and management on which the consortium has demonstrated experience. The proposed system will link data providers to users through automated processing, data mining, serving, and archiving. Major elements will be patterned after existing, well-tested computer codes for integrated data development and user services created over the last two decades by members of the DELTAS team.
Targeted datasets will include:
- precipitation data from ground and remote sensors
- topography, land cover and land use data
- habitat maps
- flood situation assessment and coastline changes
- model outputs of basin, fluvial, delta, and coastal dynamics from models in the CSDMS repository
- national government census reports (available at the municipal level)
- A diverse set of other geospatial data that jointly define the geophysical, biological, economic, and social contexts of the world's deltas
Our goal is to assemble comparative datasets for the past several decades that coincide with remote sensing data, especially based on > 30 years of Landsat and NOAA-AVHRR imagery. We will begin with the project’s three focus deltas and continue in developing a global database for all major delta systems.