Surface Reflectance

FASTNETFire Related Data & Analysis

www.DataFed.net

June 2000

Surface reflectance represents the spectral characteristics of the surface and is an indicator of the land cover type (water, vegetation, soil, urban …)

Daily SEAWiFS satellite imagery is processed to arrive at daily surface reflectance maps

‘Clean’ SeaWiFS images are used by filtering for days clear of clouds and by correcting for aerosol interference

Time series analysis illuminates the seasonal change (or lack thereof) in surface reflectance during.

Applications of surface reflectance data include: - Vegetation mapping - Land characterization - Aerosol retrieval - Radiative balance/climate

Integrated disparate data sources can provide new insight into the characteristics of fires and their air pollutant emissions.

The DataFed infrastructure was used to integrate distributed fire related data sources and build analysis tools for comparing these datasets.

DataDataFed Catalog includes data in the domains of aerosols, emissions, fire, meteorology

AerosolMeteorology

Applications

DataFed is a web-based infrastructure that supports data sharing and processing for collaborative air quality management and atmospheric science research.

DataFed Goals Facilitate the access and flow of atmospheric data from provider to users Support the development of user-driven data processing value chains Participate in specific application projects

Software for the Developer Registration software for adding distributed datasets to the data federation Web services for executing data access, processing and rendering tasks Web service chaining facility for composing custom-designed data views

 DataFed Technologies and Architecture Form-based, semi-automatic, third-party wrapping of distributed data Web services (based on XML standards) for the execution of specific tasks Service Oriented  Architecture (SOA) for building loosely coupled application programs

Data and Tools for Air Quality Management:

Center for Air Pollution Impact and Trend Analysis (CAPITA) Washington University in St. Louis

AVHRR (red) and MODIS (blue) derived fire pixels during June 16-June23, 2004