A remote sensing instrument collects information about an object or phenomenon within the
|
|
|
- Florence Webster
- 9 years ago
- Views:
Transcription
1 Satellite Remote Sensing GE Natural Hazards Some slides taken from Ann Maclean: Introduction to Digital Image Processing
2 Remote Sensing the art, science, and technology of obtaining reliable information about physical objects and the environment, through the process of recording, measuring and interpreting imagery and digital representations of energy patterns derived from noncontact sensor systems. (Cowell 1997) Taken from: Introductory Digital Image Processing. 3 rd edition. Jensen, 2004
3 Remote Sensing A remote sensing instrument collects information about an object or phenomenon within the instantaneous-field-of-view (IFOV) of the sensor system without being in direct physical contact with it. The sensor is located on a suborbital or satellite platform. Introductory Digital Image Processing. 3rd edition. Jensen, 2004
4 Remote Sensing Remote sensing is a tool or technique similar to mathematics. Using sensors to measure the amount of electromagnetic radiation (EMR) exiting an object or geographic area from a distance and then extracting valuable information from the data using mathematically and statistically based algorithms is a scientific activity. It functions in harmony with other spatial data-collection techniques or tools of the mapping sciences, including cartography and geographic information systems (GIS) (Clarke, 2001). Introductory Digital Image Processing. 3rd edition. Jensen, 2004
5 Remote Sensing Information about an Object or Area Sensors can be used to obtain specific information about an object (e.g., the diameter of a cottonwood tree crown) or the geographic extent of a phenomenon (e.g., the boundary of a cottonwood stand). The EMR reflected, emitted, or back-scattered from an object or geographic area is used as a surrogate for the actual property under investigation. The electromagnetic energy measurements must be calibrated and turned into information using visual and/or digital image processing techniques. Introductory Digital Image Processing. 3rd edition. Jensen, 2004
6 Introductory Digital Image Processing. 3rd edition. Jensen, 2004
7 Electromagnetic Energy Introductory Digital Image Processing. 3rd edition. Jensen, 2004 Thermonuclear fusion on the surface of the Sun yields a continuous spectrum of electromagnetic energy. The 6,000 K temperature of this process produces a large amount of short wavelength energy (from µm; blue, green, and red light) that travels through the vacuum of space at the speed of light. Some energy is intercepted by the Earth where it interacts with the atmosphere and surface materials. The Earth may reflect some of the energy directly back out to space or it may absorb the short wavelength energy and then re-emit emit it at a longer wavelength.
8 Wavelength in meters (m) Gamma and x-ray Electromagnetic Spectrum and the Photon Energy of Visible Light Photon energy of visible light in electron volts (ev) Photon wavelength in nanometers (nm) ultraviolet Sun Ultraviolet Visible Infrared Earth violet limit blue green green limit yellow orange red red limit near-infrared 10-2 Microwave and radio waves k far infrared 10 0 Introductory Digital Image Processing. 3rd edition. Jensen, 2004
9 Sensors Passive Sun s energy which is reflected (visible) or Absorbed and re-emitted emitted as thermal infrared wavelengths ASTER, Landsat, AVHRR Active Emit radiation Radiation reflected is detected and measured LIDAR, RADAR, and SONAR
10 Spectral Resolution Introductory Digital Image Processing. 3rd edition. Jensen, 2004
11 Spatial Resolution Introductory Digital Image Processing. 3rd edition. Jensen, 2004
12 Temporal Resolution Remote Sensor Data Acquisition June 1, 2004 June 17, 2004 July 3, days
13 Radiometric Resolution bit (0-127) 8-bit (0-255) 0 9-bit (0-511) 0 10-bit (0-1023)
14 Volcanology Map lava flows and eruptive deposits (lahars) Analyze SO 2 in volcanic plumes Thermal monitoring Digital Elevation Models Volcanic ash analysis
15 MODIS Moderate Resolution Imaging Spectroradiometer Launched in 1999 on NASA s Earth Orbiting System (EOS) platform 36 spectral bands swath.html
16 MODVOLC Algorithm created by University of Hawaii The MODVOLC algorithm automatically scans each 1 kilometer pixel within it to check for the presence of high- temperature hot-spots. Used not only for volcanic eruptions, but wildfires as well.
17 Mount Belinda South Sandwich Islands Eruption first recorded using MODVOLC Used MODIS, Landsat 7ETM+, ASTER, and RADARSAT-1 Identified first recorded eruption ever
18 Selected high spatial-resolution images of Montagu Island. North is up. A) Landsat 7 ETM+ Band 8 image from 4 Jan 2002 showing diffuse plume (P) emanating from Mount Belinda s summit (MB) and tephra deposits on north flank. Scale bar applies to A, B and C. B) ASTER visible band composite image (Bands 3 2-1) on 7 Dec 2003, showing tephra deposits and 2003 lava flow (L2). C) RADARSAT-1 image from 30 Oct 2003 showing recent morphology, with inset (D). Arrows point to approximate summit of Mount Belinda and vent location (MB), ash plumes (P), 600 m long lava flow first observed in Jan 2002 (L1), entrenched 2 km long lava flow first observed in Aug 2003 (L2), and arcuate fractures unrelated to this eruption (F). RADARSAT image was provided by the Alaska Satellite Facility, and is copyright 2003 CSA
19 ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer Launched in 1999, part of NASA s EOS Spatial Resolution 15m(VNIR), 30m(SWIR), 90(TIR). 16 day temporal resolution possible Per request basis
20 ASTER Uses Volcanological Studies Mineralogical Studies Hydrothermal Studies Forest Fires Glacier Studies Limnological Studies Climatology Studies Digital Elevation Models
21
22
23 ASTER North Shore Oahu, HI 15 x 15 m (RGB= 1,4,3)
24 LANDSAT Launched in 1972, Managed by NASA and USGS ETM 7+ has 7 bands (30 and 60 m) and a panchromatic (15) Collected every 16 days Mapping lava flows, thermal monitoring, extrusion rates Landsat 7 Image of Palm Spring, CA 30 x 30 m (bands 4,3,2 = RGB) Introductory Digital Image Processing. 3rd edition. Jensen, 2004
25 AVHRR Advanced Very High Resolution Radiometer First launched in 1978 by NOAA Global coverage 4.4 km, U.S 1 km (low spatial resolution Collected twice a day (High temporal resolution)
26
27 IKONOS Panchromatic Images of Washington, DC Jensen, x 1 m spatial resolution First satellite launched by a private company, launched in meter panchromatic, 4 m visible and near infrared
28 Active Sensors Emits energy pulse, measure backscatter, records as a digital number Long wavelength-microwave Penetrates clouds and vegetation RADAR always black and white with speckled texture
29 RADAR European Remote Sensing 1 satellite radar image of stormwater runoff plumes from Los Angeles and San Gabriel Rivers into the Los Angeles and Long Beach Harbors. Dec. 28, Image credit: ESA
30 LIDAR Light Detection and Ranging Transmits a laser light to target 15 cm accuracy Eruption04/LIDAR/
Review for Introduction to Remote Sensing: Science Concepts and Technology
Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director [email protected] Funded by National Science Foundation Advanced Technological Education program [DUE
Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction
Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction Content Remote sensing data Spatial, spectral, radiometric and
Active and Passive Microwave Remote Sensing
Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.
Resolutions of Remote Sensing
Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands) 3. Temporal (time of day/season/year) 4. Radiometric (color depth) Spatial Resolution describes how
High Resolution Information from Seven Years of ASTER Data
High Resolution Information from Seven Years of ASTER Data Anna Colvin Michigan Technological University Department of Geological and Mining Engineering and Sciences Outline Part I ASTER mission Terra
How Landsat Images are Made
How Landsat Images are Made Presentation by: NASA s Landsat Education and Public Outreach team June 2006 1 More than just a pretty picture Landsat makes pretty weird looking maps, and it isn t always easy
Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks
Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer AVHRR Advanced Very High Resolution
Spectral Response for DigitalGlobe Earth Imaging Instruments
Spectral Response for DigitalGlobe Earth Imaging Instruments IKONOS The IKONOS satellite carries a high resolution panchromatic band covering most of the silicon response and four lower resolution spectral
2.3 Spatial Resolution, Pixel Size, and Scale
Section 2.3 Spatial Resolution, Pixel Size, and Scale Page 39 2.3 Spatial Resolution, Pixel Size, and Scale For some remote sensing instruments, the distance between the target being imaged and the platform,
Remote sensing is the collection of data without directly measuring the object it relies on the
Chapter 8 Remote Sensing Chapter Overview Remote sensing is the collection of data without directly measuring the object it relies on the reflectance of natural or emitted electromagnetic radiation (EMR).
Overview. What is EMR? Electromagnetic Radiation (EMR) LA502 Special Studies Remote Sensing
LA502 Special Studies Remote Sensing Electromagnetic Radiation (EMR) Dr. Ragab Khalil Department of Landscape Architecture Faculty of Environmental Design King AbdulAziz University Room 103 Overview What
INVESTIGA I+D+i 2013/2014
INVESTIGA I+D+i 2013/2014 SPECIFIC GUIDELINES ON AEROSPACE OBSERVATION OF EARTH Text by D. Eduardo de Miguel October, 2013 Introducction Earth observation is the use of remote sensing techniques to better
Electromagnetic Radiation (EMR) and Remote Sensing
Electromagnetic Radiation (EMR) and Remote Sensing 1 Atmosphere Anything missing in between? Electromagnetic Radiation (EMR) is radiated by atomic particles at the source (the Sun), propagates through
Mapping Earth from Space Remote sensing and satellite images. Remote sensing developments from war
Mapping Earth from Space Remote sensing and satellite images Geomatics includes all the following spatial technologies: a. Cartography "The art, science and technology of making maps" b. Geographic Information
Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem
Remote Sensing 1 Vandaag Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem 2 Nederland Vanaf 700 km hoogte Landsat TM mozaïek 3 Europa vanaf 36000 km hoogte 4 5 Mount
D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K.
PHYSICAL BASIS OF REMOTE SENSING D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K. Keywords: Remote sensing, electromagnetic radiation, wavelengths, target, atmosphere, sensor,
SAMPLE MIDTERM QUESTIONS
Geography 309 Sample MidTerm Questions Page 1 SAMPLE MIDTERM QUESTIONS Textbook Questions Chapter 1 Questions 4, 5, 6, Chapter 2 Questions 4, 7, 10 Chapter 4 Questions 8, 9 Chapter 10 Questions 1, 4, 7
Selecting the appropriate band combination for an RGB image using Landsat imagery
Selecting the appropriate band combination for an RGB image using Landsat imagery Ned Horning Version: 1.0 Creation Date: 2004-01-01 Revision Date: 2004-01-01 License: This document is licensed under a
The USGS Landsat Big Data Challenge
The USGS Landsat Big Data Challenge Brian Sauer Engineering and Development USGS EROS [email protected] U.S. Department of the Interior U.S. Geological Survey USGS EROS and Landsat 2 Data Utility and Exploitation
Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008
1 Preface Remote Sensing data is one of the primary data sources in GIS analysis. The objective of this material is to provide fundamentals of Remote Sensing technology and its applications in Geographical
APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO***
APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** *National Institute for Agro-Environmental Sciences 3-1-3 Kannondai Tsukuba
Landsat Monitoring our Earth s Condition for over 40 years
Landsat Monitoring our Earth s Condition for over 40 years Thomas Cecere Land Remote Sensing Program USGS ISPRS:Earth Observing Data and Tools for Health Studies Arlington, VA August 28, 2013 U.S. Department
Clouds and the Energy Cycle
August 1999 NF-207 The Earth Science Enterprise Series These articles discuss Earth's many dynamic processes and their interactions Clouds and the Energy Cycle he study of clouds, where they occur, and
Hyperspectral Satellite Imaging Planning a Mission
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute of Aerospace, Langley, VA Outline Objective
3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM)
Presented at Short Course VII on Exploration for Geothermal Resources, organized by UNU-GTP, GDC and KenGen, at Lake Bogoria and Lake Naivasha, Kenya, Oct. 27 Nov. 18, 2012. GEOTHERMAL TRAINING PROGRAMME
TerraColor White Paper
TerraColor White Paper TerraColor is a simulated true color digital earth imagery product developed by Earthstar Geographics LLC. This product was built from imagery captured by the US Landsat 7 (ETM+)
Geography 403 Lecture 7 Scanners, Thermal, and Microwave
Geography 403 Lecture 7 Scanners, Thermal, and Microwave Needs: Lect_403_7.ppt A. Basics of Passive Electric Sensors 1. Sensors absorb EMR and produce some sort of response, such as voltages differences
ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.
ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI Imagery Becomes Knowledge ENVI software uses proven scientific methods and automated processes to help you turn geospatial
Remote Sensing in Natural Resources Mapping
Remote Sensing in Natural Resources Mapping NRS 516, Spring 2016 Overview of Remote Sensing in Natural Resources Mapping What is remote sensing? Why remote sensing? Examples of remote sensing in natural
INTRODUCTION FIGURE 1 1. Cosmic Rays. Gamma Rays. X-Rays. Ultraviolet Violet Blue Green Yellow Orange Red Infrared. Ultraviolet.
INTRODUCTION Fibre optics behave quite different to metal cables. The concept of information transmission is the same though. We need to take a "carrier" signal, identify a signal parameter we can modulate,
Using Remote Sensing to Monitor Soil Carbon Sequestration
Using Remote Sensing to Monitor Soil Carbon Sequestration E. Raymond Hunt, Jr. USDA-ARS Hydrology and Remote Sensing Beltsville Agricultural Research Center Beltsville, Maryland Introduction and Overview
Q1. The diagram below shows the range of wavelengths and frequencies for all the types of radiation in the electromagnetic spectrum.
Q. The diagram below shows the range of wavelengths and frequencies for all the types of radiation in the electromagnetic spectrum. X rays, which have frequencies in the range 0 8 0 2 Hz are already marked
After a wave passes through a medium, how does the position of that medium compare to its original position?
Light Waves Test Question Bank Standard/Advanced Name: Question 1 (1 point) The electromagnetic waves with the highest frequencies are called A. radio waves. B. gamma rays. C. X-rays. D. visible light.
Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California
Graham Emde GEOG 3230 Advanced Remote Sensing February 22, 2013 Lab #1 Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Introduction Wildfires are a common disturbance
How to calculate reflectance and temperature using ASTER data
How to calculate reflectance and temperature using ASTER data Prepared by Abduwasit Ghulam Center for Environmental Sciences at Saint Louis University September, 2009 This instructions walk you through
Joint Polar Satellite System (JPSS)
Joint Polar Satellite System (JPSS) John Furgerson, User Liaison Joint Polar Satellite System National Environmental Satellite, Data, and Information Service National Oceanic and Atmospheric Administration
Monitoring a Changing Environment with Synthetic Aperture Radar. Alaska Satellite Facility National Park Service Don Atwood
Monitoring a Changing Environment with Synthetic Aperture Radar Don Atwood Alaska Satellite Facility 1 Entering the SAR Age 2 SAR Satellites RADARSAT-1 Launched 1995 by CSA 5.6 cm (C-Band) HH Polarization
WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS
WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS Nguyen Dinh Duong Department of Environmental Information Study and Analysis, Institute of Geography, 18 Hoang Quoc Viet Rd.,
The premier software for extracting information from geospatial imagery.
Imagery Becomes Knowledge ENVI The premier software for extracting information from geospatial imagery. ENVI Imagery Becomes Knowledge Geospatial imagery is used more and more across industries because
From lowest energy to highest energy, which of the following correctly orders the different categories of electromagnetic radiation?
From lowest energy to highest energy, which of the following correctly orders the different categories of electromagnetic radiation? From lowest energy to highest energy, which of the following correctly
Chapter Contents Page No
Chapter Contents Page No Preface Acknowledgement 1 Basics of Remote Sensing 1 1.1. Introduction 1 1.2. Definition of Remote Sensing 1 1.3. Principles of Remote Sensing 1 1.4. Various Stages in Remote Sensing
REMOTE SENSING AND ENVIRONMENTAL MONITORING. P. M. Mather School of Geography, The University of Nottingham, U.K.
REMOTE SENSING AND ENVIRONMENTAL MONITORING P. M. Mather School of Geography, The University of Nottingham, U.K. Keywords: Earth observation, image processing, lidar, pattern recognition, radar Contents
Use the following image to answer the next question. 1. Which of the following rows identifies the electrical charge on A and B shown above?
Old Science 30 Physics Practice Test A on Fields and EMR Test Solutions on the Portal Site Use the following image to answer the next question 1. Which of the following rows identifies the electrical charge
STAAR Science Tutorial 30 TEK 8.8C: Electromagnetic Waves
Name: Teacher: Pd. Date: STAAR Science Tutorial 30 TEK 8.8C: Electromagnetic Waves TEK 8.8C: Explore how different wavelengths of the electromagnetic spectrum such as light and radio waves are used to
16 th IOCCG Committee annual meeting. Plymouth, UK 15 17 February 2011. mission: Present status and near future
16 th IOCCG Committee annual meeting Plymouth, UK 15 17 February 2011 The Meteor 3M Mt satellite mission: Present status and near future plans MISSION AIMS Satellites of the series METEOR M M are purposed
Satellite Remote Sensing of Volcanic Ash
Marco Fulle www.stromboli.net Satellite Remote Sensing of Volcanic Ash Michael Pavolonis NOAA/NESDIS/STAR SCOPE Nowcasting 1 Meeting November 19 22, 2013 1 Outline Getty Images Volcanic ash satellite remote
Software requirements * :
Title: Product Type: Developer: Target audience: Format: Software requirements * : Data: Estimated time to complete: Fire Mapping using ASTER Part I: The ASTER instrument and fire damage assessment Part
INTRODUCTION TO REMOTE SENSING
INTRODUCTION TO REMOTE SENSING Dr Robert Sanderson New Mexico State University Satellite picture of Las Cruces, NM Table of Contents Introduction...1 Electromagnetic energy...1 Reflection and absorption...2
Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes
Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes Naftaly Goldshleger, *Eyal Ben-Dor,* *Ido Livne,* U. Basson***, and R.Ben-Binyamin*Vladimir
Finding and Downloading Landsat Data from the U.S. Geological Survey s Global Visualization Viewer Website
January 1, 2013 Finding and Downloading Landsat Data from the U.S. Geological Survey s Global Visualization Viewer Website All Landsat data are available to the public at no cost from U.S. Geological Survey
Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing
Lecture 2 How does Light Interact with the Environment? Treasure Hunt Find and scan all 11 QR codes Choose one to watch / read in detail Post the key points as a reaction to http://www.scoop.it/t/env202-502-w2
Overview of the IR channels and their applications
Ján Kaňák Slovak Hydrometeorological Institute [email protected] Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation
ILLUSTRATIVE EXAMPLE: Given: A = 3 and B = 4 if we now want the value of C=? C = 3 + 4 = 9 + 16 = 25 or 2
Forensic Spectral Anaylysis: Warm up! The study of triangles has been done since ancient times. Many of the early discoveries about triangles are still used today. We will only be concerned with the "right
Evaluation of Wildfire Duration Time Over Asia using MTSAT and MODIS
Evaluation of Wildfire Duration Time Over Asia using MTSAT and MODIS Wataru Takeuchi * and Yusuke Matsumura Institute of Industrial Science, University of Tokyo, Japan Ce-504, 6-1, Komaba 4-chome, Meguro,
'Developments and benefits of hydrographic surveying using multispectral imagery in the coastal zone
Abstract With the recent launch of enhanced high-resolution commercial satellites, available imagery has improved from four-bands to eight-band multispectral. Simultaneously developments in remote sensing
MOD09 (Surface Reflectance) User s Guide
MOD09 (Surface ) User s Guide MODIS Land Surface Science Computing Facility Principal Investigator: Dr. Eric F. Vermote Web site: http://modis-sr.ltdri.org Correspondence e-mail address: [email protected]
Evaluating GCM clouds using instrument simulators
Evaluating GCM clouds using instrument simulators University of Washington September 24, 2009 Why do we care about evaluation of clouds in GCMs? General Circulation Models (GCMs) project future climate
Light as a Wave. The Nature of Light. EM Radiation Spectrum. EM Radiation Spectrum. Electromagnetic Radiation
The Nature of Light Light and other forms of radiation carry information to us from distance astronomical objects Visible light is a subset of a huge spectrum of electromagnetic radiation Maxwell pioneered
Introduction to Imagery and Raster Data in ArcGIS
Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Introduction to Imagery and Raster Data in ArcGIS Simon Woo slides Cody Benkelman - demos Overview of Presentation
ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln
REMOTE SENSING (SATELLITE) SYSTEM TECHNOLOGIES Michael A. Okoye and Greg T. Earth Satellite Corporation, Rockville Maryland, USA Keywords: active microwave, advantages of satellite remote sensing, atmospheric
Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery
Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery WorldView-2 is the first commercial high-resolution satellite to provide eight spectral sensors in the visible to near-infrared
River Flood Damage Assessment using IKONOS images, Segmentation Algorithms & Flood Simulation Models
River Flood Damage Assessment using IKONOS images, Segmentation Algorithms & Flood Simulation Models Steven M. de Jong & Raymond Sluiter Utrecht University Corné van der Sande Netherlands Earth Observation
MAKING SENSE OF ENERGY Electromagnetic Waves
Adapted from State of Delaware TOE Unit MAKING SENSE OF ENERGY Electromagnetic Waves GOALS: In this Part of the unit you will Learn about electromagnetic waves, how they are grouped, and how each group
Geospatial Software Solutions for the Environment and Natural Resources
Geospatial Software Solutions for the Environment and Natural Resources Manage and Preserve the Environment and its Natural Resources Our environment and the natural resources it provides play a growing
Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius
Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius F.-L. Chang and Z. Li Earth System Science Interdisciplinary Center University
Forest Fire Information System (EFFIS): Rapid Damage Assessment
Forest Fire Information System (EFFIS): Fire Danger D Rating Rapid Damage Assessment G. Amatulli, A. Camia, P. Barbosa, J. San-Miguel-Ayanz OUTLINE 1. Introduction: what is the JRC 2. What is EFFIS 3.
163 ANALYSIS OF THE URBAN HEAT ISLAND EFFECT COMPARISON OF GROUND-BASED AND REMOTELY SENSED TEMPERATURE OBSERVATIONS
ANALYSIS OF THE URBAN HEAT ISLAND EFFECT COMPARISON OF GROUND-BASED AND REMOTELY SENSED TEMPERATURE OBSERVATIONS Rita Pongrácz *, Judit Bartholy, Enikő Lelovics, Zsuzsanna Dezső Eötvös Loránd University,
MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA
MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA Li-Yu Chang and Chi-Farn Chen Center for Space and Remote Sensing Research, National Central University, No. 300, Zhongda Rd., Zhongli
Assessing Hurricane Katrina Damage to the Mississippi Gulf Coast Using IKONOS Imagery
Assessing Hurricane Katrina Damage to the Mississippi Gulf Coast Using IKONOS Imagery Joseph P. Spruce Science Systems and Applications, Inc. John C., MS 39529 Rodney McKellip NASA Project Integration
A Canada Centre for Remote Sensing Remote Sensing Tutorial
Fundamentals of Remote Sensing A Remote Sensing Tutorial Natural Resources Canada Ressources naturelles Canada Fundamentals of Remote Sensing - Table of Contents Page 2 Table of Contents 1. Introduction
Solar Energy. Outline. Solar radiation. What is light?-- Electromagnetic Radiation. Light - Electromagnetic wave spectrum. Electromagnetic Radiation
Outline MAE 493R/593V- Renewable Energy Devices Solar Energy Electromagnetic wave Solar spectrum Solar global radiation Solar thermal energy Solar thermal collectors Solar thermal power plants Photovoltaics
Satellite Snow Monitoring Activities Project CRYOLAND
Satellite Snow Monitoring Activities Project CRYOLAND Background material for participants to the Workshop on European Snow Monitoring Perspectives, Darmstadt, 4-5 December 2012. CryoLand provides Snow,
Monitoring Soil Moisture from Space. Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada [email protected].
Monitoring Soil Moisture from Space Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada [email protected] What is Remote Sensing? Scientists turn the raw data collected
Remote Sensing an Introduction
Remote Sensing an Introduction Seminar: Space is the Place Referenten: Anica Huck & Michael Schlund Remote Sensing means the observation of, or gathering information about, a target by a device separated
What is Solar Control?
A better environment inside and out. Solar, Safety and Security Window Films: Tech Bulletin Understanding Solar Performance Solar Gard solar control window films use advanced technology to benefit consumers
High Resolution RF Analysis: The Benefits of Lidar Terrain & Clutter Datasets
0 High Resolution RF Analysis: The Benefits of Lidar Terrain & Clutter Datasets January 15, 2014 Martin Rais 1 High Resolution Terrain & Clutter Datasets: Why Lidar? There are myriad methods, techniques
Integrating the Solar Spectrum
Integrating the Solar Spectrum PHYS 4400, Principles and Varieties of Solar Energy Instructor: Randy J. Ellingson The University of Toledo January 24, 203 Pop Quiz Note: quiz does not count toward grade
Saharan Dust Aerosols Detection Over the Region of Puerto Rico
1 Saharan Dust Aerosols Detection Over the Region of Puerto Rico ARLENYS RAMÍREZ University of Puerto Rico at Mayagüez, P.R., 00683. Email:[email protected] ABSTRACT. Every year during the months
Table of Contents. An Introduction to Hyperspectral Imaging Technology
Table of Contents 1.0 Introduction... 1 2.0 Electromagnetic Radiation... 1 2.1 The Electromagnetic Spectrum... 2 2.2 Electromagnetic Interactions with Matter... 3 3.0 Spectroscopy... 5 3.1 Refraction and
Tech Bulletin. Understanding Solar Performance
Tech Bulletin Understanding Solar Performance Bekaert solar control window films use advanced technology to benefit consumers with quality solutions that enhance comfort and decrease energy use. By understanding
Radar Interferometric and Polarimetric Possibilities for Determining Sea Ice Thickness
Radar Interferometric and Polarimetric Possibilities for Determining Sea Ice Thickness by Scott Hensley, Ben Holt, Sermsak Jaruwatanadilok, Jeff Steward, Shadi Oveisgharan Delwyn Moller, Jim Reis, Andy
Advanced Image Management using the Mosaic Dataset
Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Advanced Image Management using the Mosaic Dataset Vinay Viswambharan, Mike Muller Agenda ArcGIS Image Management
5. The Nature of Light. Does Light Travel Infinitely Fast? EMR Travels At Finite Speed. EMR: Electric & Magnetic Waves
5. The Nature of Light Light travels in vacuum at 3.0. 10 8 m/s Light is one form of electromagnetic radiation Continuous radiation: Based on temperature Wien s Law & the Stefan-Boltzmann Law Light has
ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH 2
ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH Atmospherically Correcting Multispectral Data Using FLAASH 2 Files Used in this Tutorial 2 Opening the Raw Landsat Image
Using Remotely Sensed Data From ASTER to Look Impact of Recent Earth Quakes in Gujarat, India.
Using Remotely Sensed Data From ASTER to Look Impact of Recent Earth Quakes in Gujarat, India. A major earth quake occurred in Gujarat, India on January 26,2000. (Origin time 03:16 GMT, Location 23.399N
The most widely used active remote sensing systems include:
Active and Passive Remote Sensing Passive remote sensing systems record EMR that is reflected (e.g., blue, green, red, and near-infrared light) or emitted (e.g., thermal infrared energy) from the surface
NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: ESM 392
NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: ESM 392 COURSE TITLE: REMOTE SENSING AND RADIATION PRINCIPLES MODULE 1 [INTRODUCTION TO REMOTE SENSING AND RADIATION PRINCIPLES]
LANDSAT 7 - GROUND SEGMENT ACTIVITIES AT THE GERMAN REMOTE SENSING DATA CENTER. Deutsches Fernerkundungsdatenzentrum (DFD) DLR (*)
LANDSAT 7 - GROUND SEGMENT ACTIVITIES AT THE GERMAN REMOTE SENSING DATA CENTER Günter Strunz (*), Hans-Dietrich Bettac (**), Jörg Gredel (*), Klaus-Dieter Reiniger (*) & Gunter Schreier (*) Deutsches Fernerkundungsdatenzentrum
Introduction. Stefano Ferrari. Università degli Studi di Milano [email protected]. Elaborazione delle immagini (Image processing I)
Introduction Stefano Ferrari Università degli Studi di Milano [email protected] Elaborazione delle immagini (Image processing I) academic year 2011 2012 Image processing Computer science concerns
Production of X-rays. Radiation Safety Training for Analytical X-Ray Devices Module 9
Module 9 This module presents information on what X-rays are and how they are produced. Introduction Module 9, Page 2 X-rays are a type of electromagnetic radiation. Other types of electromagnetic radiation
Physics 30 Worksheet # 14: Michelson Experiment
Physics 30 Worksheet # 14: Michelson Experiment 1. The speed of light found by a Michelson experiment was found to be 2.90 x 10 8 m/s. If the two hills were 20.0 km apart, what was the frequency of the
Precipitation Remote Sensing
Precipitation Remote Sensing Huade Guan Prepared for Remote Sensing class Earth & Environmental Science University of Texas at San Antonio November 14, 2005 Outline Background Remote sensing technique
STAR Algorithm and Data Products (ADP) Beta Review. Suomi NPP Surface Reflectance IP ARP Product
STAR Algorithm and Data Products (ADP) Beta Review Suomi NPP Surface Reflectance IP ARP Product Alexei Lyapustin Surface Reflectance Cal Val Team 11/26/2012 STAR ADP Surface Reflectance ARP Team Member
Analysis of Landsat ETM+ Image Enhancement for Lithological Classification Improvement in Eagle Plain Area, Northern Yukon
Analysis of Landsat ETM+ Image Enhancement for Lithological Classification Improvement in Eagle Plain Area, Northern Yukon Shihua Zhao, Department of Geology, University of Calgary, [email protected],
Generation of Cloud-free Imagery Using Landsat-8
Generation of Cloud-free Imagery Using Landsat-8 Byeonghee Kim 1, Youkyung Han 2, Yonghyun Kim 3, Yongil Kim 4 Department of Civil and Environmental Engineering, Seoul National University (SNU), Seoul,
Take away concepts. What is Energy? Solar Energy. EM Radiation. Properties of waves. Solar Radiation Emission and Absorption
Take away concepts Solar Radiation Emission and Absorption 1. 2. 3. 4. 5. 6. Conservation of energy. Black body radiation principle Emission wavelength and temperature (Wein s Law). Radiation vs. distance
Information Contents of High Resolution Satellite Images
Information Contents of High Resolution Satellite Images H. Topan, G. Büyüksalih Zonguldak Karelmas University K. Jacobsen University of Hannover, Germany Keywords: satellite images, mapping, resolution,
