Lola Fatoyinbo

Goddard Space Flight Center United States of America

Research Physical Scientist, Biospheric Sciences Laboratory, NASA GSFC Dr. Lola Fatoyinbo studies forest ecology and ecosystem structure at the NASA Goddard Space Flight Center. Dr. Fatoyinbo’s current research focus is the fusion of optical, Synthetic Aperture Radar and lidar data to quantify forest structure, biomass, extent and degradation. Dr. Fatoyinbo has carried out extensive field and remote sensing research in tropical forest ecosystems of continental Africa, Madagascar and Latin America. She received her Bachelors in Biology in 2003 and her PhD in Environmental Sciences in 2008 from the University of Virginia. She then completed a NASA Postdoctoral Fellow within the Radar Science and Engineering Section at the Caltech - Jet Propulsion Laboratory, where her primary research focus was on using interferometric SAR data to quantify tropical forest extent, height and biomass through the development of radar-lidar fusion algorithms. Dr Fatoyinbo is now a research physical scientist at the NASA Goddard Space Flight Center in the Biospheric Sciences Laboratory.

Lola Fatoyinbo

1books edited

Latest work with IntechOpen by Lola Fatoyinbo

The accurate measurement of ecosystem biomass is of great importance in scientific, resource management and energy sectors. In particular, biomass is a direct measurement of carbon storage within an ecosystem and of great importance for carbon cycle science and carbon emission mitigation. Remote Sensing is the most accurate tool for global biomass measurements because of the ability to measure large areas. Current biomass estimates are derived primarily from ground-based samples, as compiled and reported in inventories and ecosystem samples. By using remote sensing technologies, we are able to scale up the sample values and supply wall to wall mapping of biomass. Three separate remote sensing technologies are available today to measure ecosystem biomass: passive optical, radar, and lidar. There are many measurement methodologies that range from the application driven to the most technologically cutting-edge. The goal of this book is to address the newest developments in biomass measurements, sensor development, field measurements and modeling. The chapters in this book are separated into five main sections.

Go to the book