Vegetaton Continuous Fields ESDRs--Long-Term Trends in Vegetation Cover

Wednesday, 17 December 2014
Charlene DiMiceli1, Matthew Hansen2, Mark Carroll3, Do-Hyung Kim4, John R Townshend4 and Robert Allen Sohlberg2, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, College Park, MD, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)University of Maryalnd- College Park, College Park, MD, United States
Quantifying vegetation cover is critical to understanding the interaction of the land surface with climate. Fractional cover products are also essential to researchers studying fire occurrence, deforestation and regrowth, hydrological processes, and biodiversity. Building on the Land Long-Term Data Records of surface reflectance, NDVI and brightness temperature from the AVHRR and MODIS instruments, we are creating a 30-year record of fractional vegetation cover using data mining techniques. The spatial and temporal consistency of these products supports research into long-term trends in global vegetation cover as well as providing high-quality data to users. In our presentation, we will summarize our progress in producing Vegetation Continuous Fields ESDRs, present early products and results, and discuss the challenges in estimating errors and building a training dataset for these products. We will also describe our approach to interacting with users and getting early products into their hands.