EAS 8803
Satellite Data Analysis

Instructor:
Professor Irina N. Sokolik
office 3104, ph.404-894-6180
email: isokolik@eas.gatech.edu

Location and meeting time:
Tuesday/Thursday 4:35- 5:55 PM
ES&T L1118

Course Syllabus
Course description
Class Research Project

Aug. 18 Lecture 1. Course structure&Syllabus
Aug. 20 Lecture 2. The nature of electromagnetic radiation
Aug. 25 Lecture 3. Properties of electromagnetic radiation.
Polarization. Stokes’ parameters.
Main radiation laws. Brightness temperature.
Emission from the ocean and land surfaces
Aug. 27 Lab 1. Passive microwave remote sensing of sea-ice
Sep. 1 Lecture 4. Composition and structure of the atmosphere.
Absorption and emission by atmospheric gases.
Sep. 3 Lab 2. Spectral absorption of atmospheric gases and the transmission function
Sep. 8 Lecture 5. Molecular (Rayleigh) scattering.
Scattering and absorption by aerosol and cloud particles: Mie theory.

Sep. 10 Lab 3. Modeling of optical characteristics with Mie theory.
Remote sensing based on direct solar radiation. AERONET.
Sep. 15 Lecture 6. Multiple scattering as a source of radiation.
Reflectance from surfaces. Remote sensing of ocean color.

Sep. 17 Lab 4. Monte-Carlo calculations.
Sep. 22 Lecture 7. Applications of passive remote sensing using extinction and scattering:
Remote sensing of aerosols in the solar spectrum.
Sep. 24 Lab 5. Passive remote sensing of atmospheric aerosols
Sep. 29 Lecture 8. Principles of passive remote sensing using emission and applications:
Remote sensing of atmospheric path-integrated quantities (cloud liquid water content and precipitable water vapor).
Oct. 1 Lab 6. Passive microwave remote sensing: retrievals of total precipitable water and cloud liquid water
Oct. 6 Lecture 9. Review.
Examples of Exam Problems
Oct. 8   Mid-term Exam.
Oct. 13   Fall break
Oct. 15   Mid-term Exam Review.
Oct. 20 Lecture 10. Applications of passive remote sensing using emission:
Principles of sounding by emission and applications (temperature and atmospheric gases).
Oct. 22 Lab 7 Atmospheric sounding.
Oct. 27 Lecture 11. Applications of passive remote sensing:
Remote sensing of planetary atmospheres - Examples
Oct. 29 Lab 8. Designing a space mission concept
Nov. 3 Lecture 12. Applications of passive remote sensing: Remote sensing of precipitation and clouds.
Nov. 5 Lab 9 Passive remote sensing of clouds
Nov. 10 Lecture 13. Principles of active remote sensing: Radar.
Radar sensing of clouds and precipitation.
Nov. 12 Lab 10 Radar remote sensing of precipitation
Nov. 17 Lecture 14. Principles of active remote sensing: Lidars.
Lidar sensing of gases, aerosols, and clouds.
Nov. 19 Lab 11 Introduction to CALIPSO products
Nov. 24 Lecture 15. Course overview.
Nov. 26   Thanksgiving Break
Dec. 1   Class project presentations.
  1. Yao Tang, Where does the rainfall come from? A Brief Explanation Based On Remote Sensing Data. Show/Hide Abstract
  2. Mohammadpour Salut, Observation of Long Recovery Lightning-induced Electron Precipitation Events Show/Hide Abstract
  3. Yun Hee Park, Aerosol optical properties by wildfires over Central Asia by analyzing satellite data. Show/Hide Abstract
Dec. 3   Class project presentations.
  1. G. McDonald, Investigating interactions of Martian atmospheric water vapor with the regolith through Mars Global Surveyor Thermal Emission Spectrometer limb observations Show/Hide Abstract
  2. Longlei Li, Central Asia dust outbreak, vertical structure and transport: a joint perspective from satellite data and a coupled regional model Show/Hide Abstract
  3. Amadeo Bellotti, The Microwave Absorption Spectra of Ammonia in a Simulated Jovian Atmosphere. Show/Hide Abstract

Supplement Materials