Remote Sensing Pedagogy and The Wilheit Curve Chris Ruf University of Michigan, Ann Arbor College of Engineering Department of Atmospheric, Oceanic & Space.

Slides:



Advertisements
Similar presentations
Building Team Connections in a Health Sciences Library Using the DiSC® Profile Nancy Allee, AHIP, Deputy Director, and Jane Blumenthal, AHIP, Director,
Advertisements

Developing a Geoscience and Remote Sensing Laboratory as a Pathway to Earth SySTEM Education John D. Moore Einstein Fellow Emeritus President-Elect, National.
What is the Scientific Method? a presentation by heather ahtone Research Associate Diversity in Geosciences School of Geology and Geophysics College of.
6th Aquarius/SAC-D Science Meeting Seattle. L2 Algorithms. S. Masuelli 1 of 26 July 19-21, th Aquarius/SAC-D Science Meeting July 2010 Seattle,
Session Objective To understand how to set high quality learning objectives and learning outcomes Session Outcomes By the end of this session you will.
Communicating Uncertainties for Microwave-Based ESDRs Frank J. Wentz, Carl A. Mears, and Deborah K. Smith Remote Sensing Systems, Santa Rosa CA Supported.
Maintaining and Improving the AMSR-E and WindSat Ocean Products Frank J. Wentz Remote Sensing Systems, Santa Rosa CA AMSR TIM Agenda 4-5 September 2013.
2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute.
National Science Standards  Teachers of science plan an inquiry-based science program for their students.
Concepts and Foundations of Remote Sensing
Resources for Teaching Teachers Earth Science Content and Pedagogy The Association for Science Teacher Education Rusty Low Shelley Olds January 2006.
MWR Roughness Correction Algorithm for the Aquarius SSS Retrieval W. Linwood Jones, Yazan Hejazin, Salem Al-Nimri Central Florida Remote Sensing Lab University.
Best Practices Wiki Ruth Duerr NSIDC, IEEE Report to GEO Committees September, 2008.
© R.S. Lab, UPC IGARSS, Vancouver, July, 2011 OIL SLICKS DETECTION USING GNSS-R E. Valencia, A. Camps, H. Park, N. Rodríguez-Alvarez, X. Bosch-Lluis.
Remote Sensing: Observing a BIG COUNTRY David Griffin & Edward King CSIRO Marine and Atmospheric Research.
IDEA Making an Old Enemy Your Friend. MYTH or REALITY?  IDEA is a for-profit corporation.
OMICS Group Contact us at: OMICS Group International through its Open Access Initiative is committed to make genuine and.
COSIA 2010 Communicating Ocean Sciences to Informal Audiences WEEK 12: Assessments & Reflections.
Aquarius Algorithm Workshop March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research.
Leadership What is leadership? What are leadership traits? What are some leadership behaviors? What leaders are successful?
A Combined Radar/Radiometer Retrieval for Precipitation IGARSS – Session 1.1 Vancouver, Canada 26 July, 2011 Christian Kummerow 1, S. Joseph Munchak 1,2.
A NON-RAINING 1DVAR RETRIEVAL FOR GMI DAVID DUNCAN JCSDA COLLOQUIUM 7/30/15.
Roughness Model of Radar Backscattering From Bare Soil Surfaces Amimul Ehsan Electrical Engineering and Computer Science Department, University of Kansas.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
Inmate Supervision & Site Management Fair, Firm & Consistent.
CrIS Use or disclosure of data contained on this sheet is subject to NPOESS Program restrictions. ITT INDUSTRIES AER BOMEM BALL DRS EDR Algorithms for.
Jeff Johnston Assistant Director, Center for Teaching Lecturer, Department of Earth and Environmental Sciences, Vanderbilt University Meeting the learning.
Education and engagement: Exploring how faculty members can support education outside of college Susan Buhr Sullivan Director, CIRES Education and Outreach.
Why We Care or Why We Go to Sea.
Teaching Students with Mild and Moderate Disabilities: Research-Based Practices Second Edition © 2009 Pearson Education, Inc. All rights.
The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.
First Tropical Cyclone Overflights by the Hurricane Imaging Radiometer (HIRAD) Chris Ruf 1, Sayak Biswas 2, Mark James 3, Linwood Jones 2, Tim Miller 3.
IGARSS 2011, July 24-29, Vancouver, Canada 1 A PRINCIPAL COMPONENT-BASED RADIATIVE TRANSFER MODEL AND ITS APPLICATION TO HYPERSPECTRAL REMOTE SENSING Xu.
Scientific Method What is Science ? The Study of Earth Science Branches of Earth Science Science and Technology
Design Features of a Boresighted GPM Core Radiometer Christopher S. Ruf Dept. of Atmospheric, Oceanic & Space Sciences University of Michigan, Ann Arbor,
Trends & Variability of Liquid Water Clouds from Eighteen Years of Microwave Satellite Data: Initial Results 6 July 2006 Chris O’Dell & Ralf Bennartz University.
IES Inquiry: Preparing Students to be Critical Thinkers and Science Literate Citizens.
College of Science August 20, 2013 Interactive Office Hours Agenda  What is an “office hour”?  “Interactive” defined  Role of the student.  Role of.
Assuring Learning SUCCESS. Lesson content 1. Research: Q&A 2. Results summary 3. The ’’Perfect Webinar Session’’ 4. Discussion.
Inclusion in Afterschool: Serving Students with Specific Needs THE WHY’S AND THE HOW’S TO MAKE IT HAPPEN!
Uncertainty in aerosol retrievals: interaction with the community Adam Povey 1, Thomas Holzer-Popp 2, Gareth Thomas 3, Don Grainger 1, Gerrit de Leeuw.
T. Meissner and F. Wentz Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November , 2014 Seattle. Washington,
Challenge Volume: Over 100 satellite-years of observations Calibration Each sensor has its own unique set of Sensor Calibration Problems Precision: High.
NOTE: To change the image on this slide, select the picture and delete it. Then click the Pictures icon in the placeholder to insert your own image. CCRS.
The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.
1 The Software Development Process ► Systems analysis ► Systems design ► Implementation ► Testing ► Documentation ► Evaluation ► Maintenance.
Primarily undergraduate institutions (PUIs) Erin Krall, Kutztown University of Pennsylvania Rachel O’Brien, Allegheny College Dana Royer, Wesleyan University.
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
Drawing Connections Between Local and Global Observations: An Essential Element of Geoscience Education Cathy Manduca Science Education Resource Center,
A Combined Radar-Radiometer Approach to Estimate Rain Rate Profile and Underlying Surface Wind Speed over the Ocean Shannon Brown and Christopher Ruf University.
A New Ocean Suite Algorithm for AMSR2 David I. Duncan September 16 th, 2015 AMSR Science Team Meeting Huntsville, AL.
Teaching with Data: Context and Resources Sean Fox, SERC Carleton College.
Counseling for Family Planning. Learning Outcomes for Study this Session Adapting the counseling process Characteristics and skills of family planning.
Cal/Val at CIOSS Ted Strub – CIOSS/COAS/OSU Cooperative Institute for Oceanographic Satellite Studies College of Oceanic and Atmospheric Sciences Oregon.
SCM x330 Ocean Discovery through Technology Area F GE.
Earth as a System Exploring Connections in Data from 2007 Globe Data Adapted from science/globe-investigations.
19/20-July-2000EOC Meeting, Canberra1 Remote Sensing Data Products and Environmental Modelling Leader – Fred Prata 1 Integrating Remote Sensing Data Products.
Team 7 Channa Vd Veen, Greta Alvarez Gijun Chae, Ji Bin Park, Laura Bueno Lopez, Marten Duit ICC Presentation Group 7.
Spaceborne Polarimetric Microwave Radiometer Brandon Ravenscroft
Such processes may apply to similar TOF sensors.
IGARSS’08 Outreach Activities
GPM Microwave Radiometer Vicarious Cold Calibration
Validation of Satellite-derived Lake Surface Temperatures
NPOESS Airborne Sounder Testbed (NAST)
EarthComm Inquiry: Preparing Students to be Critical Thinkers and Science Literate Citizens Key Points: Today’s talk is about a high school Earth science.
Zhang Hailong, Xin Xiaozhou, Liu Qinhuo
National REMOTE SENSING Validation Workshop
School of Education Opportunity for Discovery, Learning & Engagement
Chapter 1 Science Skills.
The impact of ocean surface and atmosphere on TOA mircowave radiance
Presentation transcript:

Remote Sensing Pedagogy and The Wilheit Curve Chris Ruf University of Michigan, Ann Arbor College of Engineering Department of Atmospheric, Oceanic & Space Sciences IGARSS 2011 Vancouver BC, CANADA 26 July 2011

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Motivation Teaching remote sensing, and thinking about how it works in general, can be facilitated by explaining and understanding a few critical things… –The Forward Model: How sensor observations are related to geophysical parameters –The Sensitivity: How the observations respond to changes in geophysical parameters of interest ( e.g. dTB/dWindspeed) –The Sensor Design: How the sensitivity varies with the type of observation ( e.g. dTB/dWindspeed vs. freq, pol’z,  i ) –The Inversion Algorithm: To unscramble the forward model and estimate geophysical parameters from the observations, choose sensor channels with dissimilar sensitivities

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Statement of Problem How does one capture both the dependence of the observations on the geophysical parameters and the interdependence of that dependence, from one sensor channel to the next? Answer suggested in Wilheit, T. T.: A model for the microwave emissivity of the ocean's surface as a function of wind speed. IEEE Trans. Geoscience Electronics, GE-17, , 1979.

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 The Paper

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 The Wilheit Curves

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Using the Curves as a Guide for Sensor Design High clouds, moderate vapor High vapor, moderate clouds moderate vapor, moderate clouds High wind, moderate SST High SST, moderate wind

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Are There Equivalent “Wilheit Curves” For Other Design Problems? Example: How best to staff a remote sensing research project? Project Requirements –Definition of scientific problem –Execution of the project –Obtaining funding, interaction with users, community outreach Parameterize the staff members and identify the sensitivity of the requirements to each type of staff

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Wilheit Curves for The Human Touch in Project Staffing DIPLOMATIC TACTLESS NORMAL Community Engagement (funding, outreach, etc.) Definition of Problem Project Execution

26 July 11Ruf, The Wilheit Curve, IGARSS 2011 / 9 Optimized Staffing Obtaining funding, interaction with users, community outreach ( highly tactful ) –Chooses words carefully, thinks before talks, has some familiarity with the problem – e.g. Headquarters Program Manager Execution of the project ( moderately tactful ) –Clear and succinct communication skills, follows instructions well – e.g. Engineering Support Team Definition of the scientific problem ( tactless ) –Understands the science, speaks their mind, has general disregard for others – Any suggestions from the audience?