SPECTRAL SIGNATURES. dr.ir. Jan Clevers. Centre for Geo-Information Dept. Environmental Sciences Wageningen UR

Size: px
Start display at page:

Download "SPECTRAL SIGNATURES. dr.ir. Jan Clevers. Centre for Geo-Information Dept. Environmental Sciences Wageningen UR"

Transcription

1 SPECTRAL SIGNATURES dr.ir. Jan Clevers Centre for Geo-Information Dept. Environmental Sciences Wageningen UR

2 Subjects Spectral Signatures Spectral signature (reflection) Temporal signature Vegetation indices

3 Reflective Optical Window µm 1mm 1cm 1m 10m atmospheric transmittance blue green red UV VIS NIR MIR MIR TIR TIR blocking effect of atmosphere microwaves photography lidar human eye thermal scanners radar multispectral scanners microwave radiometry µm 1mm 1cm 1m 10m Wavelength optical reflective

4 Source of EM radiation 10 0 radiation (Wcm -2 µm -1 ) 10-1 curves for an average object on earth 10-2 reflected solar radiation emitted thermal radiation wavelength (µm) REFLECTION EMISSION

5 Reflection Reflection is the process of sending back EM radiation by an object Reflectance factor [0,1] -coefficient [0,1] -percentage [0%,100%] 1) ρ(λ) = Φ r (λ) / Φ i (λ) = reflected divided by incoming energy per wavelength λ or wavelength interval λ

6 Hand-held radiometer

7 2) ρ obj (λ) = L obj (λ)/l ref (λ) * ρ ref (λ) Reflection Bidirectional reflectance factor: the radiance of an object in a certain direction under certain conditions of irradiation, relative to the radiance of an ideal white diffuse surface in the same direction and the same irradiation conditions. Z nadir sun φ = 270º sensor φ = 180º θ X φ = 0º φ Y φ = 90º

8 Reference targets

9 Spectral band positions VISIBLE Meteosat TIRS Nimbus CZCS TIRS 1 2 NOAA AVHRR 3,4,5 (TIRS) Landsat MSS Landsat TM SPOT HRV-CCD XS-mode SPOT HRV-CCD P-mode DAEDALUS MSS 11, CAESAR-CCD MSS (land observation) reflectance (%) 60 dry soil wet soil blue green red water nearinfrared middleinfrared λ wavelength (µm) vegetation

10 Spectral Signatures: Soil Example influence of soil moisture content: 60 Newtona silt loam 0.8% Reflectance (%) % 8.3% 12.9% 16.9% 20.2% Wavelength (µm)

11 absorptance (chlorophyll) Spectral Signatures: Leaf % VIS NIR MIR transmittance absorptance (water) 20 reflectance Wavelength (µm)

12 Spectral information of a leaf Individual leaf VIS chlorophyll (absorptance) NIR cell walls - air transitions (reflectance) MIR water (absorptance)

13 Spectral Signatures: Leaf Plant type Reflectance (%) citrus tomato sorghum cotton Wavelength (µm)

14 Disease infection 100 Reflectance (%) (21) (24) Wavelength (µm)

15 Moisture content Reflectance (%) < 40% moisture content 40-54% moisture content 54-66% moisture content > 66% moisture content Wavelength (µm)

16 Spectral Signatures: Vegetation Reflectance (%) 50 barley 40 dry soil wet soil VIS veg. NIR veg. 1/2 VIS leaf > NIR leaf Wavelength (µm)

17 Temporal signatures: Barley Crop Reflectance (%) bare soil NIR red green days after sowing

18 Field trial with barley

19 Single-engine aircraft for 70-mm photography

20 Mounts and cameras for 70-mm photography

21 Microlight aircraft for 70-mm photography

22 Camera mounts for the microlight

23 50 Spectral bands for multispectral photography Reflectance (%) Wavelength (µm)

24 Green recording, 27 May 1982

25 Red recording, 27 May 1982

26 NIR recording, 27 May 1982

27 Reference targets

28 Vegetation Indices: simple band combinations in order to - strenghten the spectral contribution of vegetation - eliminate the disturbing influence of the atmosphere, soil, etc. Example: simple ratio: NIR/Red Normalized difference vegetation index : NDVI = (NIR-Red) / (NIR+Red)

29 NOAA-NDVI image of Africa March 1984 June 1984

30 Simple Reflectance Model (Clair) Starting point: calibrated reflectance factors Aim: the derivation of a suitable vegetation index or reflectance model for the estimation of biomass (or leaf area index, LAI) Main problem: influence of the soil reflectance (soil background) Main assumption: constant ratio of reflectance factors of bare soil NIR soil /Red soil = C Result: WDVI = NIR - C Red LAI = -1/α ln(1 - WDVI / WDVI ω )

31 Reflectance (%) Temporal signatures wet wet Barley crop: Red, NIR WDVI (%) dry 50 wet dry wet days after sowing Barley crop: WDVI 10 dry 0 dry days after sowing

32 Relationship WDVI - LAI LAI 8 6 LAI = -1/α ln(1 - WDVI / WDVI ω ) WDVI

33 LAI 8 Relationship NDVI - LAI 6 4 NDVI = (NIR - Red) / (NIR + Red) NDVI

34 LAI 8 Relationship NIR/Red - LAI NIR / Red

35 Example vegetation indices LAI R NIR NIR-R NIR/R NDVI wet dry colour NDVI = (NIR - R) / (NIR + R)

Resolutions of Remote Sensing

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

More information

Design of a High Resolution Multispectral Scanner for Developing Vegetation Indexes

Design of a High Resolution Multispectral Scanner for Developing Vegetation Indexes Design of a High Resolution Multispectral Scanner for Developing Vegetation Indexes Rishitosh kumar sinha*, Roushan kumar mishra, Sam jeba kumar, Gunasekar. S Dept. of Instrumentation & Control Engg. S.R.M

More information

Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem

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

More information

Review for Introduction to Remote Sensing: Science Concepts and Technology

Review for Introduction to Remote Sensing: Science Concepts and Technology Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE

More information

D.S. Boyd School of Earth Sciences and Geography, Kingston University, U.K.

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,

More information

Lectures Remote Sensing

Lectures Remote Sensing Lectures Remote Sensing ATMOSPHERIC CORRECTION dr.ir. Jan Clevers Centre of Geo-Information Environmental Sciences Wageningen UR Atmospheric Correction of Optical RS Data Background When needed? Model

More information

SAMPLE MIDTERM QUESTIONS

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

More information

Electromagnetic Radiation (EMR) and Remote Sensing

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

More information

Spectral Response for DigitalGlobe Earth Imaging Instruments

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

More information

Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008

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

More information

A remote sensing instrument collects information about an object or phenomenon within the

A remote sensing instrument collects information about an object or phenomenon within the Satellite Remote Sensing GE 4150- Natural Hazards Some slides taken from Ann Maclean: Introduction to Digital Image Processing Remote Sensing the art, science, and technology of obtaining reliable information

More information

Remote sensing is the collection of data without directly measuring the object it relies on the

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).

More information

How Landsat Images are Made

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

More information

Radiation Transfer in Environmental Science

Radiation Transfer in Environmental Science Radiation Transfer in Environmental Science with emphasis on aquatic and vegetation canopy media Autumn 2008 Prof. Emmanuel Boss, Dr. Eyal Rotenberg Introduction Radiation in Environmental sciences Most

More information

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*** 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

More information

2.3 Spatial Resolution, Pixel Size, and Scale

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,

More information

Research on Soil Moisture and Evapotranspiration using Remote Sensing

Research on Soil Moisture and Evapotranspiration using Remote Sensing Research on Soil Moisture and Evapotranspiration using Remote Sensing Prof. dr. hab Katarzyna Dabrowska Zielinska Remote Sensing Center Institute of Geodesy and Cartography 00-950 Warszawa Jasna 2/4 Field

More information

INTRODUCTION TO REMOTE SENSING

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

More information

Mapping Earth from Space Remote sensing and satellite images. Remote sensing developments from war

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

More information

Overview of the IR channels and their applications

Overview of the IR channels and their applications Ján Kaňák Slovak Hydrometeorological Institute Jan.kanak@shmu.sk Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation

More information

Geography 403 Lecture 7 Scanners, Thermal, and Microwave

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

More information

Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images

Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images S. E. Báez Cazull Pre-Service Teacher Program University

More information

How to calculate reflectance and temperature using ASTER data

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

More information

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 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]

More information

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. 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

More information

1 The interaction of visible and near infrared EMR with soil

1 The interaction of visible and near infrared EMR with soil PROPERTIES OF EARTH SURFACES AND THEIR INTERACTIONS WITH ELECTROMAGNETIC RADIATION AT VISIBLE AND NEAR INFRARED WAVELENGTHS For a fixed distribution of incident radiation, the particular properties of

More information

Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks

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

More information

WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS

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.,

More information

Energy Interactions with Atmosphere and Earth Surface

Energy Interactions with Atmosphere and Earth Surface Energy Interactions with Atmosphere and Earth Surface Summary Electro-magnetic radiation (EMR) or energy interactions with atmosphere and with the earth surface play a vital role in Remote sensing. Energy

More information

Overview. What is EMR? Electromagnetic Radiation (EMR) LA502 Special Studies Remote Sensing

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

More information

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 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

More information

Introduction to Remote Sensing and Image Processing

Introduction to Remote Sensing and Image Processing Introduction to Remote Sensing and Image Processing Of all the various data sources used in GIS, one of the most important is undoubtedly that provided by remote sensing. Through the use of satellites,

More information

Selecting the appropriate band combination for an RGB image using Landsat imagery

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

More information

Lake Monitoring in Wisconsin using Satellite Remote Sensing

Lake Monitoring in Wisconsin using Satellite Remote Sensing Lake Monitoring in Wisconsin using Satellite Remote Sensing D. Gurlin and S. Greb Wisconsin Department of Natural Resources 2015 Wisconsin Lakes Partnership Convention April 23 25, 2105 Holiday Inn Convention

More information

INVESTIGA I+D+i 2013/2014

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

More information

Monitoring Soil Moisture from Space. Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc.

Monitoring Soil Moisture from Space. Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc. Monitoring Soil Moisture from Space Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc.ca What is Remote Sensing? Scientists turn the raw data collected

More information

Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder. School of Civil and Environmental Engineering

Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder. School of Civil and Environmental Engineering Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder School of Civil and Environmental Engineering 2 IMPACT OF HUMAN DEVELOPMENT Humans are modifying the

More information

Active and Passive Microwave Remote Sensing

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.

More information

Data Processing Flow Chart

Data Processing Flow Chart Legend Start V1 V2 V3 Completed Version 2 Completion date Data Processing Flow Chart Data: Download a) AVHRR: 1981-1999 b) MODIS:2000-2010 c) SPOT : 1998-2002 No Progressing Started Did not start 03/12/12

More information

Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing

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

More information

Hyperspectral Satellite Imaging Planning a Mission

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

More information

Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data

Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data Masayuki HIRAFUJI* ** * NARO National Agriculture and Food Research Organization ** University of Tsukuba Big

More information

Example of an end-to-end operational. from heat waves

Example of an end-to-end operational. from heat waves Example of an end-to-end operational service in support to civil protection from heat waves Paolo Manunta pkt006-11-1.0 1.0_WEBGIS Athens, 8 June 2007 OUTLINE Heat Island definition and causes Heat Island

More information

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 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

More information

Best practices for RGB compositing of multi-spectral imagery

Best practices for RGB compositing of multi-spectral imagery Best practices for RGB compositing of multi-spectral imagery User Service Division, EUMETSAT Introduction Until recently imagers on geostationary satellites were limited to 2-3 spectral channels, i.e.

More information

Sky Monitoring Techniques using Thermal Infrared Sensors. sabino piazzolla Optical Communications Group JPL

Sky Monitoring Techniques using Thermal Infrared Sensors. sabino piazzolla Optical Communications Group JPL Sky Monitoring Techniques using Thermal Infrared Sensors sabino piazzolla Optical Communications Group JPL Atmospheric Monitoring The atmospheric channel has a great impact on the channel capacity at optical

More information

Using Remote Sensing to Monitor Soil Carbon Sequestration

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

More information

Computer Vision: Machine Vision Filters. Computer Vision. Optical Filters. 25 August 2014

Computer Vision: Machine Vision Filters. Computer Vision. Optical Filters. 25 August 2014 Computer Vision Optical Filters 25 August 2014 Copyright 2001 2014 by NHL Hogeschool, Van de Loosdrecht Machine Vision BV and Klaas Dijkstra All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl,

More information

Finding and Downloading Landsat Data from the U.S. Geological Survey s Global Visualization Viewer Website

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

More information

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California

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

More information

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. 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

More information

Blackbody radiation. Main Laws. Brightness temperature. 1. Concepts of a blackbody and thermodynamical equilibrium.

Blackbody radiation. Main Laws. Brightness temperature. 1. Concepts of a blackbody and thermodynamical equilibrium. Lecture 4 lackbody radiation. Main Laws. rightness temperature. Objectives: 1. Concepts of a blackbody, thermodynamical equilibrium, and local thermodynamical equilibrium.. Main laws: lackbody emission:

More information

Requirements and technology for smart materials in greenhouses

Requirements and technology for smart materials in greenhouses Requirements and technology for smart materials in greenhouses Greenhouses in The Netherlands Workshop 13 April 2016, Bleiswijk Dr. Silke Hemming, Wageningen UR Greenhouse Horticulture About 10 000 Ha

More information

INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor

INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor José-Antonio Gómez-Sánchez gomezsj@inta.es Remote Sensing Laboratory INSTITUTO NACIONAL DE TÉCNICA AEROESPACIAL

More information

Tech Bulletin. Understanding Solar Performance

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

More information

1. Theoretical background

1. Theoretical background 1. Theoretical background We consider the energy budget at the soil surface (equation 1). Energy flux components absorbed or emitted by the soil surface are: net radiation, latent heat flux, sensible heat

More information

High Resolution Information from Seven Years of ASTER Data

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

More information

Remote Sensing an Introduction

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

More information

Spectrophotometry and the Beer-Lambert Law: An Important Analytical Technique in Chemistry

Spectrophotometry and the Beer-Lambert Law: An Important Analytical Technique in Chemistry Spectrophotometry and the Beer-Lambert Law: An Important Analytical Technique in Chemistry Jon H. Hardesty, PhD and Bassam Attili, PhD Collin College Department of Chemistry Introduction: In the last lab

More information

Optical multi-spectral images: processing and applications

Optical multi-spectral images: processing and applications Earth Observation Laboratory PhD Program in GeoInformation DISP - Tor Vergata University Optical multi-spectral images: processing and applications Riccardo Duca The last time What means Optical Remote

More information

Climatology and Monitoring of Dust and Sand Storms in the Arabian Peninsula

Climatology and Monitoring of Dust and Sand Storms in the Arabian Peninsula Climatology and Monitoring of Dust and Sand Storms in the Arabian Peninsula Mansour Almazroui Center of Excellence for Climate Change Research (CECCR) King Abdulaziz University, Jeddah, Saudi Arabia E-mail:

More information

dynamic vegetation model to a semi-arid

dynamic vegetation model to a semi-arid Application of a conceptual distributed dynamic vegetation model to a semi-arid basin, SE of Spain By: M. Pasquato, C. Medici and F. Francés Universidad Politécnica de Valencia - Spain Research Institute

More information

What is Solar Control?

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

More information

Integrating the Solar Spectrum

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

More information

Passive Remote Sensing of Clouds from Airborne Platforms

Passive Remote Sensing of Clouds from Airborne Platforms Passive Remote Sensing of Clouds from Airborne Platforms Why airborne measurements? My instrument: the Solar Spectral Flux Radiometer (SSFR) Some spectrometry/radiometry basics How can we infer cloud properties

More information

Landsat Monitoring our Earth s Condition for over 40 years

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

More information

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 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

More information

Corso di Fisica Te T cnica Ambientale Solar Radiation

Corso di Fisica Te T cnica Ambientale Solar Radiation Solar Radiation Solar radiation i The Sun The Sun is the primary natural energy source for our planet. It has a diameter D = 1.39x10 6 km and a mass M = 1.989x10 30 kg and it is constituted by 1/3 of He

More information

Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia

Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia Object: Measurement of solar reflectance, thermal emittance and Solar Reflectance Index Report Reference person: Alberto Muscio

More information

The Sentinel-4/UVN instrument on-board MTG-S

The Sentinel-4/UVN instrument on-board MTG-S The Sentinel-4/UVN instrument on-board MTG-S Grégory Bazalgette Courrèges-Lacoste; Berit Ahlers; Benedikt Guldimann; Alex Short; Ben Veihelmann, Hendrik Stark ESA ESTEC European Space Technology & Research

More information

SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY

SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY A. K. Sah a, *, B. P. Sah a, K. Honji a, N. Kubo a, S. Senthil a a PASCO Corporation, 1-1-2 Higashiyama, Meguro-ku,

More information

Information Contents of High Resolution Satellite Images

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,

More information

Collaborative research project pre agro

Collaborative research project pre agro Collaborative research project pre agro Extraction of phenology-dependent structural information from hyperspectral, directional CHRIS data for a better derivation of canopy parameters of winter-wheat

More information

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR A. Maghrabi 1 and R. Clay 2 1 Institute of Astronomical and Geophysical Research, King Abdulaziz City For Science and Technology, P.O. Box 6086 Riyadh 11442,

More information

RADIATION (SOLAR) Introduction. Solar Spectrum and Solar Constant. Distribution of Solar Insolation at the Top of the Atmosphere

RADIATION (SOLAR) Introduction. Solar Spectrum and Solar Constant. Distribution of Solar Insolation at the Top of the Atmosphere RADIATION (SOLAR) 1859 Workshop Proceedings, Joint Research Centre, Ispra, Italy, pp. 45 53. Ulaby FT (1981)Microwave response of vegetation. In Kahle AB, Weill G, Carter WD (eds) Advances in Space Research,

More information

NCDC s SATELLITE DATA, PRODUCTS, and SERVICES

NCDC s SATELLITE DATA, PRODUCTS, and SERVICES **** NCDC s SATELLITE DATA, PRODUCTS, and SERVICES Satellite data and derived products from NOAA s satellite systems are available through the National Climatic Data Center. The two primary systems are

More information

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 orders the different categories of electromagnetic radiation? From lowest energy to highest energy, which of the following correctly

More information

See Lab 8, Natural Resource Canada RS Tutorial web pages Tues 3/24 Supervised land cover classification See Lab 9, NR Canada RS Tutorial web pages

See Lab 8, Natural Resource Canada RS Tutorial web pages Tues 3/24 Supervised land cover classification See Lab 9, NR Canada RS Tutorial web pages SFR 406 Remote Sensing, Image Interpretation and Forest Mapping EXAM # 2 (23 April 2015) REVIEW SHEET www.umaine.edu/mial/courses/sfr406/index.htm (Lecture powerpoint & notes) TOPICS COVERED ON 2 nd EXAM:

More information

Paint it cool! Pigments for solar heat management in paints

Paint it cool! Pigments for solar heat management in paints Paint it cool! Pigments for solar heat management in paints Reflection instead of absorption keeps the coated surface cool Of 1 % solar radiation, % are absorbed at the earth s surface. Absorption 25 %

More information

Trace Gas Exchange Measurements with Standard Infrared Analyzers

Trace Gas Exchange Measurements with Standard Infrared Analyzers Practical Environmental Measurement Methods Trace Gas Exchange Measurements with Standard Infrared Analyzers Last change of document: February 23, 2007 Supervisor: Charles Robert Room no: S 4381 ph: 4352

More information

Remote sensing study on the Pisa plain

Remote sensing study on the Pisa plain Remote sensing study on the Pisa plain Bini M., Kukavicic M., Pappalardo M. MapPapers 5en-II, 2012, pp.201-211 doi:10.4456/mappa.2012.34 Multispectral images with medium-high resolution were acquired from

More information

Some elements of photo. interpretation

Some elements of photo. interpretation Some elements of photo Shape Size Pattern Color (tone, hue) Texture Shadows Site Association interpretation Olson, C. E., Jr. 1960. Elements of photographic interpretation common to several sensors. Photogrammetric

More information

An Overview of Remote Sensing and Geodesy for Epidemiology and Public Health Application

An Overview of Remote Sensing and Geodesy for Epidemiology and Public Health Application An Overview of Remote Sensing and Geodesy for Epidemiology and Public Health Application S.I. Hay Trypanosomiasis and Land Use in Africa (TALA) Research Group, Department of Zoology, University of Oxford,

More information

COTTON WATER RELATIONS

COTTON WATER RELATIONS COTTON WATER RELATIONS Dan R. Krieg 1 INTRODUCTION Water is the most abundant substance on the Earth s surface and yet is the most limiting to maximum productivity of nearly all crop plants. Land plants,

More information

Satellite Remote Sensing of Volcanic Ash

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

More information

Joint Polar Satellite System (JPSS)

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

More information

ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH 2

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

More information

Client: RENOLIT Italia Srl. Work completion: 01/10/2008 (or after receipt of the weathered samples) Notes: Preliminary Report

Client: RENOLIT Italia Srl. Work completion: 01/10/2008 (or after receipt of the weathered samples) Notes: Preliminary Report Object: laboratory measurement on alkorplan 35276 Client: RENOLIT Italia Srl Reference person: Prof. Paolo Tartarini Work start: 01/08/2008 Work completion: 01/10/2008 (or after receipt of the weathered

More information

Soil Moisture Estimation Using Active DTS at MOISST Site

Soil Moisture Estimation Using Active DTS at MOISST Site MOISST Workhsop, 2014 Soil Moisture Estimation Using Active DTS at MOISST Site June 4, 2014 Chadi Sayde, Daniel Moreno, John Selker Department of Biological and Ecological Engineering Oregon State University,

More information

SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS

SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS Vladimir J. Alarcon Engineer, Research Scientist Department of Plant and Soil Science, Mississippi State University, Mississippi State, MS, USA

More information

Proba-V: Earthwatch Mission as part of ESA s Earth Observation Programmes

Proba-V: Earthwatch Mission as part of ESA s Earth Observation Programmes Proba-V: Earthwatch Mission as part of ESA s Earth Observation Programmes Antwerp 05.07.2013 Bianca Hoersch Proba-V Mission Manager Third Party Mission & Sentinel-2 Mission Manager Earth Observation Directorate,

More information

Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies.

Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies. Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies. Sarah M. Thomas University of Wisconsin, Cooperative Institute for Meteorological Satellite Studies

More information

Principle of Thermal Imaging

Principle of Thermal Imaging Section 8 All materials, which are above 0 degrees Kelvin (-273 degrees C), emit infrared energy. The infrared energy emitted from the measured object is converted into an electrical signal by the imaging

More information

Blackbody radiation derivation of Planck s radiation low

Blackbody radiation derivation of Planck s radiation low Blackbody radiation derivation of Planck s radiation low 1 Classical theories of Lorentz and Debye: Lorentz (oscillator model): Electrons and ions of matter were treated as a simple harmonic oscillators

More information

ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln

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

More information

Remote sensing and management of large irrigation projects

Remote sensing and management of large irrigation projects Remote sensing and management of large irrigation projects Lahlou O., Vidal A. in Deshayes M. (ed.). La télédétection en agriculture Montpellier : CIHEAM Options Méditerranéennes : Série A. Séminaires

More information

Introduction: Growth analysis and crop dry matter accumulation

Introduction: Growth analysis and crop dry matter accumulation PBIO*3110 Crop Physiology Lecture #2 Fall Semester 2008 Lecture Notes for Tuesday 9 September How is plant productivity measured? Introduction: Growth analysis and crop dry matter accumulation Learning

More information

General. Requirements of Plastic Films for greenhouse application Latest Development in Research 1/22/2009. Requirements. General

General. Requirements of Plastic Films for greenhouse application Latest Development in Research 1/22/2009. Requirements. General Requirements of Plastic Films for greenhouse application Latest Development in Research 6 th European Additives & Colors Conference, 11/12 March 29, Antwerpen Silke Hemming, Wageningen UR Greenhouse Horticulture

More information

ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES

ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES Rainer LAUDIEN*, Georg BARETH**, Reiner DOLUSCHITZ*** Department of Agricultural Economics Division: Agricultural Informatics and

More information

Searching New Materials for Energy Conversion and Energy Storage

Searching New Materials for Energy Conversion and Energy Storage Searching New Materials for Energy Conversion and Energy Storage ZÜRICH & COLLEGIU UM HELVE ETICUM R. NES SPER ETH 1. Renewable Energy 2. Solar Cells 3. Thermoelectricity 4. Fast High Energy Li-Ion Batteries

More information