Authors: Shunlin Liang*, University Of Maryland
Topics: Remote Sensing, Earth Science
Keywords: remote sensing, land products
Session Type: Poster
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded
To advance global and regional land surface models at different scales and improve their predictive capabilities, various space agencies are producing a series of high-level land surface biogeophysical products from different satellite sensors. Considerable progress has been made, but several generic issues still remain: 1). Multiple sensors have not been used effectively despite the existence of highly complementary instruments and an Earth observing system goal to support an integrated science program; 2). Products are not completely satisfied by the users due to data quality and accuracy; 3). Each product is generated primarily from one instrument algorithm but it is generally almost impossible to identify the best algorithm since most of them outperform only under certain conditions; 4). Most instrument algorithms have not retrieved surface variables using multitemporal signatures; and 5). Most algorithms have not incorporated a priori knowledge objectively. To overcome some of these problems for producing long-term satellite products, we have developed the Global LAnd Surface Satellite (GLASS) product suite. The GLASS product suite has increased to 12 products so far: leaf area index (LAI), broadband shortwave albedo, broadband longwave emissivity, downwelling shortwave radiation and photosynthetically active radiation, land surface skin temperature, longwave net radiation, daytime all-wave net radiation, fraction of absorbed photosynetically active radiation (FAPAR), fraction of green vegetation coverage, gross primary productivity (GPP), and evapotranspiration (ET). This poster will provide an overview of the characteristics of the GLASS products and preliminary applications.