Sermsak Jaruwatanadilok (firstname.lastname@example.org) received his Ph.D. degree from University of Washington, Seattle in 2003. His research interests are wave propagation and scattering in random media, and remote sensing. He joined JPL in 2010 where he has been working on modeling of backscatter from forest on moist ground for the application of root zone soil moisture retrieval.
My-Linh Truong-Loï received the M.Sc. and Ph.D. in signal processing and telecommunications from the University of Rennes 1, France, respectively in 2007 and 2010, and the Dip. Eng. degree from the "Institut de Formation Supérieure en Informatique et Communication (IFSIC)", Rennes, in 2007. She joined the Radar science and engineering group at the Jet Propulsion Laboratory/California Institute of Technology, Pasadena, California in April 2011 as a post-doc position. Her research interests include compact polarimetry, Faraday rotation and soil moisture estimate. My-Linh is currently working on soil moisture estimate under forest as part of the AirMOSS project.
Maxim Neumann is a NASA postdoctoral fellow with the Radar Science & Engineering Section at the Jet Propulsion Laboratory (JPL). Prior to coming to JPL he received the Ph.D. degree in Signal Processing and Remote Sensing from the University of Rennes 1, France, in 2009. He received the M.S. with Distinction in Computer Engineering from the Berlin University of Technology in 2004. From 2002 to 2003, he was with the Media and Machines Laboratory, Washington University in St. Louis, MO, where he worked on machine learning methods for mobile robots.
In the frame of the NASA's planned DESDynI mission for terrestrial ecosystems monitoring, Maxim's current research work is centered around forest parameter retrieval from Synthetic Aperture Radar (SAR) and Lidar data, including forest structure, biomass and spatio-temporal dynamics. He is interested in vegetation modeling and inversion approaches, and in advanced SAR techniques such as Polarimetry, Interferometry and Tomography, exploring the potentials and limitations for data processing and analysis.
In the past, he developed a general vegetation model and inversion approach for forest parameter retrieval from multi-temporal polarimetric SAR interferometry (PolInSAR) and has demonstrated the performance on real air-borne and simulated data at L- and P-band frequencies over different forest biomes. He developed a polarimetric multi-baseline coherence optimization method for InSAR phase uncertainty reduction. As well, he designed a polarimetric optimization method for biophysical parameter retrieval and correlation maximization. He is one of main developers of the open-source project RAT (Radar Tools), for advanced SAR data processing, visualization and analysis.
Yifan Yu is a PhD candidate in the Atmospheric and Oceanic Sciences department at the University of California Los Angeles. Yifan's background includes remote sensing of terrestrial biomass and regional climate modeling. He is currently working with Sassan Saatchi and Ulli Seibt on mapping the global distribution of forest carbon.
Jung-Eun Lee received her B.S. and M.A. in science education from Seoul National University in Korea and her Ph.D in earth and planetary science at the University of California, Berkeley. Her thesis was on studying the atmospheric water cycle using stable isotopes and climate modeling, and she studied the role of plant evolution on climate at the University of Chicago as a postdoc. She has been working on quantifying the predictive power of stable water isotopes as a proxy for climate variations and the link between terrestrial water and carbon cycles. She is currently working on quantifying terrestrial water and carbon flux from satellite measurements and climate modeling.
Research Scholar at JPL
Graduated from EGID, University of Bordeaux, France (MSc in Environmental Science).
Research interests : Estimation of biomass and carbon stocks in tropical forests using Lidar and Radar imagery.
Research projects : Panama (Barra Colorado Island), Gabon, Ecuador.
Kelly Easterday graduated from UCLA in 2011 with a B.A. in Geography/Environmental Studies and minors in both Geospatial Information Systems & Technologies and Political Science. Her research interest include: forest ecosystems, carbon cycling, biodiversity, conservation and the effect of climatic variability on species distributions. My current research with Dr. Saatchi includes the use of GIS, remote sensing, and species distribution models to describe early 20th century deforestation in the upper Amazon and its modern implications. She also is working with both modern and historical soil surveys to help map the distribution of carbon.
Brian R. Zutta is a NASA Postdoctoral Program Fellow in NASA's Jet Propulsion Laboratory and received his Ph.D. from UCLA. His current research involves the analysis of biodiversity, carbon stocks, and land cover along South America's Amazon to Andes forest gradient using an array of satellite image products.
Chelsea Robinson is a PhD student in UCLA's Geography Department. She completed her BA in the same department in 2009 as a Geography/ Environmental Studies major with Departmental Highest Honors. She has worked with Dr. Sassan Saatchi for over two years studying forests using remote sensing techniques. Her MA thesis will be filed in Fall 2011 concerning the development of algorithms to estimate aboveground biomass (AGB) over the state of Maine, and the creation of maps of AGB. Her PhD work is going to be based in the forests of La Selva, Costa Rica on a elevational transect in the Braulio Carrillo National Park.