Radar Informatics (with application to glaciology) Jerome E. Mitchell School of Informatics and Computing.

Slides:



Advertisements
Similar presentations
Electro-magnetic radiation
Advertisements

Radar Remote Sensing By Falah Fakhri Post-doctoral Scholar
Radiative Transfer Dr. X-Pol Microwave Remote Sensing INEL 6669
When Target Motion Matters: Doppler Coverage in Radar Sensor Networks Presenter: Yin Sun Xiaowen Gong, Junshan Zhang, Douglas Cochran School of Electrical,
7. Radar Meteorology References Battan (1973) Atlas (1989)
Oil spill off NW coast of Spain IKONOS image Oil reaching shore.
UltraWideband Radars (FM-CW) for Snow Thickness Measurements.
Lecture 12 Content LIDAR 4/15/2017 GEM 3366.
Spatial variability of interior ice-sheet accumulation determined with an FM-CW radar and connections to the NAO David Braaten, Prasad Gogineni, Claude.
Remote Sensing Hyperspectral Imaging AUTO3160 – Optics Staffan Järn.
Automatic Ice Thickness Estimation from Polar Subsurface Radar Imagery Gladys Finyom Michael Jefferson Jr. MyAsia Reid Christopher M. Gifford Eric L. Akers.
Remote sensing in meteorology
Satellites and Radar – A primer ATMO 203. Satellites Two main types of satellite orbits – Geostationary Earth Orbiting Satellite is 35,786 km (22,236.
Modeling Digital Remote Sensing Presented by Rob Snyder.
Sonar Chapter 9. History Sound Navigation And Ranging (SONAR) developed during WW II –Sound pulses emitted reflected off metal objects with characteristic.
ATS 351 Lecture 8 Satellites
Global Ice Sheet Mapping Orbiter Understand the polar ice sheets sufficiently to predict their response to global climate change and their contribution.
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Radar Many in a series of McGourty- Rideout Productions.
Remote Sensing: John Wilkin Active microwave systems (4) Coastal HF Radar IMCS Building Room 214C ext 251 Dunes of sand.
Remote Sensing: John Wilkin Active microwave systems Coastal HF Radar IMCS Building Room 214C ph: Dunes of sand and seaweed,
Integration of sensors for photogrammetry and remote sensing 8 th semester, MS 2005.
Surface Remote Sensing Basics
IPY Satellite Data Legacy Vision: Use the full international constellation of remote sensing satellites to acquire spaceborne ‘snapshots’ of processes.
Radar: Acronym for Radio Detection and Ranging
Climate and Global Change Notes 5-1 Observing Climate - Remote Sensing Remote Sensing Observations Fundamental Principle Satellite Remote Sensing Components.
Microwave Remote Sensing
Essential Questions What are some of the different types of remote sensing? How are satellites and sonar used to map Earth’s surface and its oceans? What.
What have you heard? Global Warming Greenhouse Gases Carbon Dioxide (CO 2 ) Fossil Fuels Ice Core Records Climate Change.
Remote Sensing Microwave Remote Sensing. 1. Passive Microwave Sensors ► Microwave emission is related to temperature and emissivity ► Microwave radiometers.
Aerial Photographs and Remote Sensing Aerial Photographs For years geographers have used aerial photographs to study the Earth’s surface. In many ways.
Tools in ArcGIS Not only is there an immense toolbox,
Basics of Remote Sensing & Electromagnetic Radiation Concepts.
DOCUMENT OVERVIEW Title: Fully Polarimetric Airborne SAR and ERS SAR Observations of Snow: Implications For Selection of ENVISAT ASAR Modes Journal: International.
CODAR Ben Kravitz September 29, Outline What is CODAR? Doppler shift Bragg scatter How CODAR works What CODAR can tell us.
Satellite and Radar Imagery
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Technical Seminar Presentation-2004 MICROWAVE REMOTE SENSING Kishore Kumar ParidaEC [1] Microwave Remote Sensing (MRS) Presented by Kishore Kumar.
Problems and Future Directions in Remote Sensing of the Ocean and Troposphere Dahai Jeong AMP.
Passive Microwave Remote Sensing
GEOG Fall 2003 Overview of Microwave Remote Sensing (Chapter 9 in Jensen) from Prof. Kasischke’s lecture October 6,2003.
Ocean Wave and Current Radars By Laura Elston. Our earth is a very aqueous environment with nearly three quarters of it covered by ocean. So how do we.
Using instrumented aircraft to bridge the observational gap between ICESat and ICESat-2.
Andy French December 2009 A bluffer’s guide to Radar.
Exploring Learning Algorithms for Layer Identification from Polar Radar Imagery Tori Wilborn (Elizabeth City State University), Omar Owens (Winston Salam.
Next Week: QUIZ 1 One question from each of week: –5 lectures (Weather Observation, Data Analysis, Ideal Gas Law, Energy Transfer, Satellite and Radar)
AOS 100: Weather and Climate Instructor: Nick Bassill Class TA: Courtney Obergfell.
Ionospheric HF radars Pasha Ponomarenko. Outline Conventional radars vs ionospheric radars Collective scatter processes Aspect angle effects HF propagation.
Satellite Oceanography Modified from a Presentation at STAO 2003 By Dr. Michael J. Passow.
The rise of the planet’s temperature has a very negative impact on the subsurface dynamics of Earth’s Polar Regions. Analyzing the polar subsurface is.
Satellite Microwave Radiometry: Current and Future Products Rogre De Roo and Tony England Atmospheric, Oceanic, and Space Sciences.
Lecture 8 (10/28) METR 1111 Radars. Radar & its History RADAR is an acronym Stands for RAdio Detecting And Ranging In 1930’s, radar used to monitor shipping.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Active Remote Sensing for Elevation Mapping
RADAR.  Go through intro part of LeToan.pdfhttp://earth.esa.int/landtraining07/D1LA1- LeToan.pdf.
UNIT 2 – MODULE 7: Microwave & LIDAR Sensing. MICROWAVES & RADIO WAVES In this section, it is important to understand that radio waves and microwaves.
Supporting the “Solving Business Problems with Environmental Data” Competition 24 th October 2013 Vlad Stoiljkovic.
SCM x330 Ocean Discovery through Technology Area F GE.
UNIVERSITY OF BASILICATA CNR-IMAA (Consiglio Nazionale delle Ricerche Istituto di Metodologie per l’Analisi Ambientale) Tito Scalo (PZ) Analysis and interpretation.
Passive Microwave Remote Sensing
Introduction to Remote Sensing
Visit for more Learning Resources
Active Remote Sensing for Elevation Mapping
Global Climate Change Visual Vocabulary.
Microwave Remote Sensing
Free Powerpoint Templates
Ocean Winds.
Introduction and Basic Concepts
Remote sensing in meteorology
Presentation transcript:

Radar Informatics (with application to glaciology) Jerome E. Mitchell School of Informatics and Computing

1992

2000

2005

Outline Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

Outline Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

What is Remote Sensing? Remote Sensing is the art and science of – Acquiring – Processing and – Interpreting Images and related data obtained from ground- based, air or space-borne instruments, which record the interaction between a target and electromagnetic radiation

History of Remote Sensing Dresden International Photographic Exhibition The Bavarian Pigeon Corps

History of Remote Sensing World War I First photos from an airplane First flight, Wright Bros., Dec. 1903

What is Remote Sensing?

Types of Remote Sensing Passive: uses natural energy, either reflected sunlight (solar energy) or emitted thermal or microwave radiation. Active: sensor creates its own energy – Transmitted toward Earth or other targets – Interacts with atmosphere and/or surface – Reflects back toward sensor (backscatter) – Advantages: all weathers and all times

Remote Sensing Process

Radiation – Target Interactions

Remote Sensing Applications Land-Use Mapping Forest and Agriculture Telecommunication Planning Environmental Hydrology and Coastal Mapping Urban Planning Emergencies and Hazards Global Change and Meteorology

Outline Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

What have you heard?

Is Global Warming Fueling Katrina? How one number touched off big climate-change fight at UW Global warming could burn insurers Activists call on industry to act Jellyfish creature the answer to global warming? EXAGGERATED SCIENCE How Global Warming Research is Creating a Climate of Fear Research Links Global Warming to Wildfires In a Shift, White House Cites Global Warming as a Problem Global warming causing new evolutionary patterns Rise in wild fires a result of climate change Seattle mayors' meeting a cozy climate for business Seattle reports milestone in cutting emissions

Global Climate…

Background Sea-level rise resulting from the changing global climate is expected to directly impact many millions of people living in low-lying coastal regions. Accelerated discharge from polar outlet glaciers is unpredictable and represents a significant threat. Predictive models of ice sheet behavior require knowledge of the bed conditions, specifically basal topography and whether the bed is frozen or wet

Ice Sheet and Sea Level Greenland: 1.8 x 10 6 km 2 area (enough water to raise sea level about 7 meters) Antarctica: 1.3 x 10 7 km 2 area (enough water to raise sea level about 60 meters)

Disappearing Arctic Sea Ice Summer 1979 Summer 2003

Why Measure Sea Level Rise

Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

Ice melt flows down to bedrock through crevasses and moulins Water between bedrock and ice sheet acts as lubricant Allows ice sheet to move faster toward the coastline

Outline Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

A Brief Overview of Radar various classes of operation – Pulsed vs. continuous wave (CW) measurement capabilities – Detection, Ranging – Position (range and direction), Radial velocity (Doppler) – Target characteristics

A Brief Overview of Radar active sensor – Provides its own illumination Operates in day and night Largely immune to smoke, haze, fog, rain, snow, … – Involves both a transmitter and a receiver Related technologies are purely passive – Radio astronomy, radiometers Configurations – monostatic transmitter and receiver co-located – bistatic transmitter and receiver separated – multistatic multiple transmitters and/or receivers – passive exploits non-cooperative illuminator

A Brief Overview of Radar radar – radio detection and ranging developed in the early 1900s (pre-World War II) – 1904 Europeans demonstrated use for detecting ships in fog – 1922 U.S. Navy Research Laboratory (NRL) detected wooden ship on Potomac River – 1930 NRL engineers detected an aircraft with simple radar system world war II accelerated radar’s development – Radar had a significant impact militarily – Called “The Invention That Changed The World” in two books by Robert Buderi radar’s has deep military roots – it continues to be important militarily – growing number of civil applications – objects often called ‘targets’ even civil applications

Active Remote Sensing Active microwave (RADAR) LIDAR SONAR

Types of Radars NonImaging radar – doppler radar system – determine the speed by measuring frequency shift between transmitted and return microwave signal Imaging radar – High spatial resolution – consists of a transmitter, a receiver, one or more antennas, GPS, computers

How Radars Work – The Short Answer an electromagnetic wave is transmitted by the radar some of the energy is scattered when it hits a distance a small portion of the scattered energy is collected by the radar antenna

Side-Looking Radar System Operation

Block Diagram of Radar System

Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

Radar Sensors InstrumentMeasurement Freq./ Wavelength BW/ Res. Depth PowerAltitudeAntennaInstalls Temperate Ice Depth Sounder Ice Thickness 7 MHz 14 MHz 35 MHz 1 MHz2 km 10 WIn-SituDipole In-situ/ airborne MCoRDS/I Radar Depth Sounder Ice Thickness Int. Layering Bed Properties 195 MHz 1.5 m 30 MHz 4 m in ice 4 km 800 W30000 ft Dipole Array Wing Mount Fuselage Twin-Otter P-3 DC-8 Accum. Radar (UHF) Internal Layering Ice Thickness 750 MHz 40 cm 300 MHz ~50 cm 300 m 10 W1500 ft Patch Array Vivaldi Array Twin-Otter P-3 Snow Radar (UWB) Snow Cover Topography Layering 5 GHz 7.5 cm 6 GHz 4 cm 80 m 200 mW30000 ftHorn P-3 DC-8 Ku-Band (UWB) Topography Layering 15 GHz 2 cm 6 GHz 4 cm 15 m 200 mW30000 ftHorn Twin-Otter DC-8

Radars on A Variety of Platforms NASA DC-8 NASA P-3 Twin-Otter UAV’s

Our Radars Radars covering frequencies from 7 MHz to 18 GHz High-frequency radars provide very fine resolution at the surface and progressing to coarser resolution with deeper sounding capabilities at lower frequencies.

Survey Regions

Outline Background – Remote Sensing Background – Global Climate Change Radar Overview – Radar Basics Ice Sheet Science What Are We Doing? How Are We Doing It?

The Data Deluge Expect massive increases in amount of data being collected in several diverse fields over the next few years: – Astronomy - Massive sky surveys – Biology - Genome databases etc. – Earth Observing! – Digitisation of paper, film, tape records etc to create Digital Libraries, Museums... – Particle Physics - Large Hadron Collider –... 1PByte ~1000 TBytes ~ 1M GBytes ~ 1.4M CDs [Petabyte Terabyte Gigabyte]

Challenges of Processing Radar Imagery Automated processing and extraction of high level information from radar imagery is challenging. Noise is usually electromagnetic interference from other onboard electronics. Low magnitude, faint, or non-existent bedrock reflections occur: Specific radar settings Rough surface/bed topography Presence of water on top/internal to the ice sheet. This produces gaps in the bedrock reflection layer which must be connected to construct an adjacent layer for the completion of ice thickness estimation.

Challenges of Processing Radar Imagery Backscatter introduce clutter and contributes to regions of images incomprehensible. In addition, bed topography varies from trace to trace due to rough bedrock interfaces from extended flight segments. Lastly, a strong surface reflection can be repeated in an image, surface multiple due to energy reflecting off of the ice sheet surface and back again. If there is a time difference between the first and second surface return, the surface layer will repeat in an image, at a lower magnitude with an identical shape.

Challenges of Processing Radar Imagery Each measurement is called a radar trace, and consist of signals, representing energy due to time. The larger time correlates with deeper reflections. In an image, a trace is an entire column of pixels, each pixel represents a depth. Each row corresponds to a depth and time for a measurement, as the depth increases further down. Pixel Column

Snow Radar Data Products

Accumulation Radar Data Products

Depth Sounder Radar Data Products

Developing Automated Techniques for Radar Imagery

Conclusions Remote Sensing Global Climate Change Radar Theory Ice Sheet Science