PDF-MODIS derived visible atmospherically resistant index for monitoring chaparral moisture

STOW M NIPHADKAR and J KAISER Department of Geography San Diego State University 5500 Campanile Drive San Diego CA 921824493 USA Received 5 January 2005 in final form 15 April 2005 Time series of normalized difference indices NDIs derived from MODIS. C. ollection 6 Ice . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Haixia. Huang, Bo . Zhong. , . Qinhuo. Liu, and Lin Sun. Presented by Bo . Zhong. bzhong1@gmail.com. Institute of Remote Sensing Applications, Chinese Academy of Sciences . IGRSS 2011, Vancouver , . Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. Land . Surface Temperature and . Emissivity (LST&E) Products.  . Glynn Hulley, . Simon . Hook. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. (c) . 2014 . California Institute of Technology. Government sponsorship acknowledged. Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. . F. red Huemmrich, UMBC/GSFC . John Gamon, University of Alberta. We want to develop methods to use optical signals to estimate ecosystem carbon exchange. Examine the relationships between ecosystem production (GEP) and spectral reflectance. Andrew M. Sayer, N. Christina Hsu, Corey Bettenhausen, Myeong-Jae . Jeong, Jaehwa Lee. MODIS . Red. -. Green. -. Blue. composite. MODIS . Dark. Target . AOD. 0. 0.5. 1.0. 1.5. 2.0. MODIS . Deep. Blue AOD. Peter Minnett & BOB Evans. Rosenstiel School, University of Miami.. pminnett@rsmas.miami.edu. MODIS Science Team Meeting, April 2014.. Summary. MODIS SSTs are stable and of good accuracy. N. ew . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Steven . Collection 6 ‘e-Deep Blue’ aerosol products. Andrew M. Sayer, N. Christina Hsu (PI). , Corey Bettenhausen, Nick Carletta, Jaehwa Lee, Colin Seftor, Jeremy Warner. Past team members: Ritesh Gautam, Jingfeng Huang, Myeong-Jae Jeong, Becky Limbacher, Clare Salustro. Rolf Reichle. 1. , Gabrielle DeLannoy. 1,2. , and . Wade Crow. 3. 1. NASA Goddard Space Flight Center Global Model and Assimilation Office. 2 . University of Louvain, Louvain, Belgium. 3. USDA ARS Hydrology and Remote Sensing Lab. Biome (Ex: Chile). Key Features of the . Schlerophyll. Forest (Chaparral) Biome. This type of biome develops under a Mediterranean climate. It is distinguished by large areas of oak-shrub-grassland. This kind of biome is also found in California, Southern South Africa, Chile and West Australia. . Collection 6 e-Deep Blue/Dark Target comparison and ‘merged’ aerosol products. 1. Images from NASA Earth Observatory, . http://earthobservatory.nasa.gov/Features/Aerosols/. Deep Blue group: . N. Christina Hsu (PI), . Spectroradiometer. Mean annual evaporation. NASA MODIS satellite. Moderate Resolution Imaging . Spectroradiometer. Average E-P for the oceans. NASA – Aquarius mission. Sea Surface Salinity.