Hyperspectral Imaging Lidar: Forest canopy heights and gaps for modelling the global carbon cycle
|
|
- Domenic Ball
- 6 years ago
- Views:
Transcription
1 Lidar: Forest canopy heights and gaps for modelling the global carbon cycle Jan-Peter Muller Mullard Space Sciences Laboratory University College London
2 Overview/Team Mathematical model developed for instrument simulation Includes Monte Carlo ray-tracer interfaced to equation Simulator used to define design parameters for imaging Emphasis on echo waveform to measure tree height Hyperspectral measurement using Tunable Filters Revolutionary biofluorescent imager defined Spin-out to planetary science rover (ESA ExoMars) Team: Andrew Griffiths, Peter Yuen, Bob Bentley, Jan-Peter Muller, UCL-MSSL, Steve Hancock, Philip Lewis, Mathias Disney, UCL Geography, Mike Foster, Lidar Technologies Limited,
3 Background Ecological models require accurate biophysical parameters to model the global Carbon cycle and predict future climate Two of the most important parameters for the Carbon cycle for vegetation are biomass and leaf area index (LAI) These are not directly measurable by lidar but are closely related to direct measurables. Biomass can be estimated from tree height LAI can be derived from canopy cover. Spaceborne instruments are needed for global coverage. Traditional passive optical and current SAR instruments cannot measure tree height and signals saturate over moderately dense forests.
4 Project Objectives Develop and assess different designs for an Imaging concept for retrieval of biophysical parameters Assess best design using scene simulation system interfaced to instrument design syste Develop canopy-top height and canopy cover retrieval algorithm and assess how accurately retrievals can be performed using typical atmosphere, realistic trees within a forest model and different characteristics Assess APD technology and its possible application to biophysical retrievals Assess use of Tunable filters (LCTF and AOTF) for making hyperspectral measurements
5 Tree height is the distance between signal start above noise and ground position in the absence of any surface slope Canopy cover can be calculated from the ratio of energy returned from the canopy and the ground For both these parameters the ground and canopy returns must be distinguishable Ec=ρc c Eg=ρg (1- c) where: Ec energy from canopy Eg energy from ground c fractional canopy cover ρc effective canopy reflectance ρg effective ground reflectance which can be calculated by plotting E g against E c and solving: Eg=-(ρg / ρc)ec + ρg Simulated waveform
6 Controlled validation experiments are all but impossible in reality, where the truth is rarely known Monte-Carlo ray tracing over realistic geometric forest models provides a controlled alternative environment, allowing validation of inversion algorithms Computer model of Scots pine forest true colour from above at a zenith angle of 50o Simulated signal with material information allows precise quantification of error
7 Error is dominated by uncertainty in ground position Even over flat ground Topography and understorey vegetation reduce the distinction between canopy and ground returns Height errors against signal level Topographic blurring
8 A lidar with two wavebands, each with different ratios of ground to canopy reflectance, offers the possibility to extract ground position: The ratio of one band to the other will be different for canopy and ground returns. The sharpest change in this, found through iterative smoothing to remove noise, corresponds to the ground position A second band provides more information to constrain the ground position Multi-spectral edge detection to overcome topographic blurring Error in ground position against canopy cover for realistically noised signals
9 Instrument Design objectives #1 Parameter Combined real instrument noise with UCL canopy LIDAR model Instrument must observe 10,000 photons Solve LIDAR equation to determine instrument configuration Value #1 Value #2 532 nm 1064 Spacecraft altitude 350 km 350 km Laser pulse energy 25 mj 15 mj Number of shots 1 1 Telescope diameter 1m 1m Filter bandwidth 1 nm 1 nm Receiver transmission Transmitter transmission Filter transmission Detector QE Detector Fill Factor 1 1 Lidar reflectivity Atmospheric transmission Number of returned photons 10497
10 Instrument design objectives #2 Two wavelength operation 1 m diameter telescope 30 m spot Three detection channels 532 nm 1064 nm Imaging system Must measure outgoing pulse shape Relative scattering at each wavelength must be measured Calibration required description
11 Laser λ1 λ2 Instrument Layout #1 Moveable mirror Stereoscopic (2- or 3line) camera provide imaging Blackbody Attenuators Fibre Optic Anchored with Canopy LIDAR Dichroic filters used to separate light Blackbody calibration Stereoscopic Start trigger signal Camera Dichroic filter Detector (A and B) Amp A2D Laser Control Read Power supplies
12 Instrument Layout #2 Laser < stereoscopic camera DPSSL Laser mass < 15kg APD used
13 Instrument Layout #3 Mono-static design Telescope dominant component Instrument mounted on the base of the telescope
14 ICESAT-GLAS Analysis 532nm laser only operated a short time before failing Atmospheric transmission at 532nm and 1064nm extracted Top-of-Canopy Reflectance only available at 1064nm Echo waveforms and reflectance useful for MCRT verification GLC2000 Land cover map showing ICESAT-GLAS returns from the surface for one week
15 ICESAT-GLAS reflectances Zonal histograms of topof-canopy reflectances in 8-day time periods show.. Effects of snow and possibly of increased aerosols or cloudiness in N. hemisphere Atmospheric transmission shows typical values that can be expected from a future spaceborne imaging QuickTimeª and a YUV420 codec decompressor are needed to see this picture.
16 Follow-on Potential Explore greater range of forest types and introduce high resolution DEMs Simulate and assess waveforms from ICESAT-GLAS Develop breadboard system Assess potential for aircraft system including integration of INS/GPS and existing digital cameras Actively hunt for space launch opportunities, particularly with US or China or India Explore potential for bio-fluorescence using laboratory experiments, airborne system and fieldwork: Antarctica, Iceland, Greenland, Baltic Sea
17 Potential KE Applications #1: Global Climate Model Global Climate Models are beginnging to employ interactive Dynamic Vegetation Models The Sheffield Dynamic Vegetation Model (SDVGM) is one such model SDVGM does not use real obsrevations bu rather relies on the accuracy of theprocess model An alternative is to employ observations and data assimilation to guide the models Currently LAI from instruments such as the NASA MODIS are employed which as the DALEC simulation (courtesy of T. Quaife) shows have dramatic impacts on improving model accuracy In future imaging Lidar results could provide such results for data assimilation and time series could be used to improve model accuracy
18 Potential KE Applications #2: Cyanobacteria Ratio of cyanobacteria-to-phytoplankton critical to understanding CO2 uptake potential by the oceans Also different species of cyanobacteria can be toxic to plankton and hence destroy the food chain (e.g. algal blooms) Multispectral laser can stimulate fluorescent signature at higher wavelengths Time delay history and spectral fluorescent signature indicate different CB species as well as be usd to invert biomass Example of CB areal estimate (in yellow on left) against Chl a derived from SeaWiFS for January, April, June, August, October 2001 Can also be applied to deserts and ice-sheets to assess the biological health of the planet Fluorescent delay signature for cyanobacteria from Sahara desert Harel et al, Plant Physiology (2004)
19 Potential KE Applications #3: Organics Oil seeps have characteristic signatures which differentiate them from other biofilms Could UV-VIS fluorescence measured using hyperspectral tunable filters be used to differentiate oil type from spaceborne platforms? NPA 2008
20 Potential KE Applications #4: Extra-Terrestial Discovered that UV lasers/led can be used to detect tiny amounts of organics (Storrie-Lombardi, Muller et al. GRL, 2008) Performed laboratory and field experiments to assess the limit of detectability of different PAH organics using Beagle2 filters Building breadboard for ExoMars PanCam and continuing experiments Could be applied to remote detection of astrochemicals and biology from space Evaluating fluorescence in regolith extruded by drill.
21 Potential KE Applications #5: Healthcare Fluorescent imaging using microscopes is a well-established technique for the identification of biological material at the cellular level Recently laboratory techniques have been developed to employ Raman lidar for the identification of different bacterial species Employing fluorescent imaging with an iphone/pda-sized device could address a major market, namely the detection of bacteria in hospitals so that these areas can be identified and sterilised
22 Concluding Remarks Imaging simulator has been constructed for designing a spaceborne system for monitoring global biomass and canopy cover The imaging system operating at bi-spectral wavelengths appears to be a low cost solution for improving our knowledge of the global Carbon Cycle When coupled with a hyperspectral tunable filter can be used for montiroing bio-fluorescence KE applications include Global Climate Modelling; monitoring cyanobacteria over the Earth s oceans, deserts and ice-sheets; monitoring organics/oils-seeps and remote detection of extra-terrestrial astrochemcistry and even of life based on RNA/DNA
Status of MOLI development MOLI (Multi-footprint Observation Lidar and Imager)
Status of MOLI development MOLI (Multi-footprint Observation Lidar and Imager) Tadashi IMAI, Daisuke SAKAIZAWA, Jumpei MUROOKA, Rei Mitsuhashi and Toshiyoshi KIMURA JAXA 0 Outline of This Presentation
More informationAirborne Laser Scanning: Remote Sensing with LiDAR
Airborne Laser Scanning: Remote Sensing with LiDAR ALS / LIDAR OUTLINE Laser remote sensing background Basic components of an ALS/LIDAR system Two distinct families of ALS systems Waveform Discrete Return
More informationLecture 13.1: Airborne Lidar Systems
Lecture 13.1: Airborne Lidar Systems 1. Introduction v The main advantages of airborne lidar systems are that they expand the geographical range of studies beyond those possible by surface-based fixed
More informationSuitability of the parametric model RPV to assess canopy structure and heterogeneity from multi-angular CHRIS-PROBA data
Suitability of the parametric model RPV to assess canopy structure and heterogeneity from multi-angular CHRIS-PROBA data B. Koetz a*, J.-L. Widlowski b, F. Morsdorf a,, J. Verrelst c, M. Schaepman c and
More informationAssessing the accuracy of forest height estimation with long pulse waveform lidar through Monte-Carlo ray tracing
Assessing the accuracy of forest height estimation with long pulse waveform lidar through Monte-Carlo ray tracing Steven Hancock 1,2, Philip Lewis 1, Mathias Disney 1 Mike Foster 3, Jan-Peter Muller 2
More informationCLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS
CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE HYPERSPECTRAL (e.g. AVIRIS) SLAR Real Aperture
More informationLecture 24. Lidar Simulation
Lecture 24. Lidar Simulation q Introduction q Lidar Modeling via Lidar Simulation & Error Analysis q Functions of Lidar Simulation and Error Analysis q How to Build up Lidar Simulation? q Range-resolved
More informationHyperspectral Remote Sensing
Hyperspectral Remote Sensing Multi-spectral: Several comparatively wide spectral bands Hyperspectral: Many (could be hundreds) very narrow spectral bands GEOG 4110/5100 30 AVIRIS: Airborne Visible/Infrared
More informationUAV-based Remote Sensing Payload Comprehensive Validation System
36th CEOS Working Group on Calibration and Validation Plenary May 13-17, 2013 at Shanghai, China UAV-based Remote Sensing Payload Comprehensive Validation System Chuan-rong LI Project PI www.aoe.cas.cn
More informationForest Structure Estimation in the Canadian Boreal forest
Forest Structure Estimation in the Canadian Boreal forest Michael L. Benson Leland E.Pierce Kathleen M. Bergen Kamal Sarabandi Kailai Zhang Caitlin E. Ryan The University of Michigan, Radiation Lab & School
More informationLecture 09. Lidar Simulation and Error Analysis Overview (1)
Lecture 09. Lidar Simulation and Error Analysis Overview (1) Introduction Lidar Modeling via Lidar Simulation & Error Analysis Functions of Lidar Simulation and Error Analysis How to Build up Lidar Simulation?
More informationQuality assessment of RS data. Remote Sensing (GRS-20306)
Quality assessment of RS data Remote Sensing (GRS-20306) Quality assessment General definition for quality assessment (Wikipedia) includes evaluation, grading and measurement process to assess design,
More informationTHE USE OF AIRBORNE HYPERSPECTRAL REFLECTANCE DATA TO CHARACTERIZE FOREST SPECIES DISTRIBUTION PATTERNS
THE USE OF AIRBORNE HYPERSPECTRAL REFLECTANCE DATA TO CHARACTERIZE FOREST SPECIES DISTRIBUTION PATTERNS Weihs, P., Huber K. Institute of Meteorology, Department of Water, Atmosphere and Environment, BOKU
More informationSIMULATED LIDAR WAVEFORMS FOR THE ANALYSIS OF LIGHT PROPAGATION THROUGH A TREE CANOPY
SIMULATED LIDAR WAVEFORMS FOR THE ANALYSIS OF LIGHT PROPAGATION THROUGH A TREE CANOPY Angela M. Kim and Richard C. Olsen Remote Sensing Center Naval Postgraduate School 1 University Circle Monterey, CA
More informationVALIDATION OF A NEW 30 METER GROUND SAMPLED GLOBAL DEM USING ICESAT LIDARA ELEVATION REFERENCE DATA
VALIDATION OF A NEW 30 METER GROUND SAMPLED GLOBAL DEM USING ICESAT LIDARA ELEVATION REFERENCE DATA M. Lorraine Tighe Director, Geospatial Solutions Intermap Session: Photogrammetry & Image Processing
More informationLecture 05. First Example: A Real Lidar
Lecture 05. First Example: A Real Lidar Brief review of lidar basics K Doppler lidar system architecture K lidar signal estimate from lidar equation Comparison of estimate to reality Summary Review of
More informationLinking sun-induced fluorescence and photosynthesis in a forest ecosystem
Linking sun-induced fluorescence and photosynthesis in a forest ecosystem COST ES1309 Tagliabue G, Panigada C, Dechant B, Celesti M, Cogliati S, Colombo R, Julitta T, Meroni M, Schickling A, Schuettemeyer
More informationDennis L. Hlavka* and Stephen P. Palm Science Systems and Applications, Inc NASA/Goddard Space Flight Center, Greenbelt, Maryland
P1.13 COLUMN OPTICAL DEPTH RETRIEVAL USING SURFACE REFLECTIVITY FROM GLAS Dennis L. Hlavka* and Stephen P. Palm Science Systems and Applications, Inc NASA/Goddard Space Flight Center, Greenbelt, Maryland
More informationUAS based laser scanning for forest inventory and precision farming
UAS based laser scanning for forest inventory and precision farming M. Pfennigbauer, U. Riegl, P. Rieger, P. Amon RIEGL Laser Measurement Systems GmbH, 3580 Horn, Austria Email: mpfennigbauer@riegl.com,
More informationOverview of MOLI data product (MOLI: Multi-footprint Observation Lidar and Imager)
Overview of MOLI data product (MOLI: Multi-footprint Observation Lidar and Imager) Jan 7, 2016 JAXA Jumpei Murooka 1 Contents 1. Mission instruments: MOLI 2. Standard products of MOLI 3. Lidar product
More informationINTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA
INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA S. C. Liew 1, X. Huang 1, E. S. Lin 2, C. Shi 1, A. T. K. Yee 2, A. Tandon 2 1 Centre for Remote Imaging, Sensing
More informationProf. Vidya Manian Dept. of Electrical l and Comptuer Engineering. INEL6007(Spring 2010) ECE, UPRM
Inel 6007 Introduction to Remote Sensing Chapter 5 Spectral Transforms Prof. Vidya Manian Dept. of Electrical l and Comptuer Engineering Chapter 5-1 MSI Representation Image Space: Spatial information
More informationAn Introduction to Lidar & Forestry May 2013
An Introduction to Lidar & Forestry May 2013 Introduction to Lidar & Forestry Lidar technology Derivatives from point clouds Applied to forestry Publish & Share Futures Lidar Light Detection And Ranging
More informationBreakout session: Active Remote Sensing for Ocean Colour
Breakout session: Active Remote Sensing for Ocean Colour Jamet, C. Laboratoire d Océanologie et de Géosciences, Wimereux, France Churnside, J. NOAA, Boulder, USA Hostetler, C. NASA, Langley, USA Passive
More informationAirborne LiDAR Data Acquisition for Forestry Applications. Mischa Hey WSI (Corvallis, OR)
Airborne LiDAR Data Acquisition for Forestry Applications Mischa Hey WSI (Corvallis, OR) WSI Services Corvallis, OR Airborne Mapping: Light Detection and Ranging (LiDAR) Thermal Infrared Imagery 4-Band
More informationGround-based estimates of foliage cover and LAI: lessons learned, results and implications
17 th June, 2014 Ground-based estimates of foliage cover and LAI: lessons learned, results and implications William Woodgate william.woodgate@rmit.edu.au Contents Background Part 1 Fieldwork (Completed
More informationLearning Objectives LIGHT DETECTION AND RANGING. Sensing. Blacksburg, VA July 24 th 30 th, 2010 LiDAR: Mapping the world in 3-D Page 1
LiDAR: Mapping the world in 3-D Val Thomas Department of Forest Resources & Environmental Conservation July 29, 2010 Learning Objectives Part 1: Lidar theory What is lidar? How does lidar work? What are
More informationCHRIS Proba Workshop 2005 II
CHRIS Proba Workshop 25 Analyses of hyperspectral and directional data for agricultural monitoring using the canopy reflectance model SLC Progress in the Upper Rhine Valley and Baasdorf test-sites Dr.
More informationGeoTASO Project Summary and Relevance. Jim Leitch Ball Aerospace
GeoTASO Project Summary and Relevance Jim Leitch Ball Aerospace jleitch@ball.com 303-939-5280 4/23/2013 Sensor Concept Overview Airborne nadir-viewing wide-swath imaging spectrometer Two channel spectrometer
More informationLaser scanners with echo digitization for full waveform analysis
Laser scanners with echo digitization for full waveform analysis Peter Rieger, Andreas Ullrich, Rainer Reichert RIEGL Laser Measurement Systems GmbH DI Peter Rieger Project Management RIEGL LMS GmbH A-3580
More informationTerrain categorization using LIDAR and multi-spectral data
Terrain categorization using LIDAR and multi-spectral data Angela M. Puetz, R. C. Olsen, Michael A. Helt U.S. Naval Postgraduate School, 833 Dyer Road, Monterey, CA 93943 ampuetz@nps.edu, olsen@nps.edu
More informationGEOG 4110/5100 Advanced Remote Sensing Lecture 2
GEOG 4110/5100 Advanced Remote Sensing Lecture 2 Data Quality Radiometric Distortion Radiometric Error Correction Relevant reading: Richards, sections 2.1 2.8; 2.10.1 2.10.3 Data Quality/Resolution Spatial
More informationNavigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies. Alexandre Pollini Amsterdam,
Navigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies Alexandre Pollini Amsterdam, 12.11.2013 Presentation outline The needs: missions scenario Current benchmark in space
More informationMODULE 3. FACTORS AFFECTING 3D LASER SCANNING
MODULE 3. FACTORS AFFECTING 3D LASER SCANNING Learning Outcomes: This module discusses factors affecting 3D laser scanner performance. Students should be able to explain the impact of various factors on
More informationQuality of the TanDEM-X DEM
Quality of the TanDEM-X DEM Manfred Zink, Markus Bachmann, Thomas Fritz, Paola Rizzoli, Daniel Schulze, Birgit Wessel CEOS SAR 2016 07-09 September 2016 Tokyo Denki University, Japan TerraSAR-X-add-on
More informationLecture 04. Fundamentals of Lidar Remote Sensing (2)
Lecture 04. Fundamentals of Lidar Remote Sensing (2) Lidar Equation Introduction Physical Picture of Lidar Equation Fundamental Lidar Equation Different Forms of Lidar Equation Illustration of Lidar Equation
More informationOptical Theory Basics - 2 Atmospheric corrections and parameter retrieval
Optical Theory Basics - 2 Atmospheric corrections and parameter retrieval Jose Moreno 3 September 2007, Lecture D1Lb2 OPTICAL THEORY-FUNDAMENTALS (2) Radiation laws: definitions and nomenclature Sources
More informationKohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan
Monte Carlo Ray Tracing Simulation of Polarization Characteristics of Sea Water Which Contains Spherical and Non-Spherical Particles of Suspended Solid and Phytoplankton Kohei Arai 1 Graduate School of
More information2010 LiDAR Project. GIS User Group Meeting June 30, 2010
2010 LiDAR Project GIS User Group Meeting June 30, 2010 LiDAR = Light Detection and Ranging Technology that utilizes lasers to determine the distance to an object or surface Measures the time delay between
More informationSpectral imagers for nanosatellites
VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD Spectral imagers for nanosatellites Finnish Satellite Workshop 2018 Antti Näsilä VTT Microspectrometers Fabry-Perot (FPI) technology for miniaturizing optical
More informationANALYSIS OF SATELLITE LASER ALTIMETRY RANGE MEASUREMENTS OVER LAND TOPOGRAPHY USING GENERALIZED ATTITUDE PARAMETER EXTRACTION
ANALYSIS OF SATELLITE LASER ALTIMETRY RANGE MEASUREMENTS OVER LAND TOPOGRAPHY USING GENERALIZED ATTITUDE PARAMETER EXTRACTION J. R. Ridgway, J.B. Minster Institute of Geophysics and Planetary Physics University
More informationRemote Sensing Introduction to the course
Remote Sensing Introduction to the course Remote Sensing (Prof. L. Biagi) Exploitation of remotely assessed data for information retrieval Data: Digital images of the Earth, obtained by sensors recording
More informationEffect of Satellite Formation Architectures and Imaging Modes on Albedo Estimation of major Biomes
Effect of Satellite Formation Architectures and Imaging Modes on Albedo Estimation of major Biomes Sreeja Nag 1,2, Charles Gatebe 3, David Miller 1,4, Olivier de Weck 1 1 Massachusetts Institute of Technology,
More informationOCEANSAT-2 OCEAN COLOUR MONITOR (OCM-2)
OCEANSAT-2 OCEAN COLOUR MONITOR (OCM-2) Update of post launch vicarious, lunar calibrations & current status Presented by Prakash Chauhan Space Applications Centre Indian Space Research Organistaion Ahmedabad-
More informationEnsoMOSAIC. Kopterit metsäninventointidatan keruualustoina
EnsoMOSAIC Kopterit metsäninventointidatan keruualustoina 20.4.2017 Company introduction MosaicMill founded in 2009 EnsoMOSAIC technology since 1994 Main businesses EnsoMOSAIC forestry solutions EnsoMOSAIC
More informationCalibration Techniques for NASA s Remote Sensing Ocean Color Sensors
Calibration Techniques for NASA s Remote Sensing Ocean Color Sensors Gerhard Meister, Gene Eplee, Bryan Franz, Sean Bailey, Chuck McClain NASA Code 614.2 Ocean Biology Processing Group October 21st, 2010
More informationCHRIS / PROBA Data Analysis at the Swiss Midlands Testsite
CHRIS / PROBA Data Analysis at the Swiss Midlands Testsite 4th CHRIS / PROBA Workshop Frascati 19-21 September 2006 Mathias Kneubühler, RSL, Univ. Zürich, CH Benjamin Koetz, Silvia Huber, Juerg Schopfer,
More informationENY-C2005 Geoinformation in Environmental Modeling Lecture 4b: Laser scanning
1 ENY-C2005 Geoinformation in Environmental Modeling Lecture 4b: Laser scanning Petri Rönnholm Aalto University 2 Learning objectives To recognize applications of laser scanning To understand principles
More informationTHREE-DIMENSIONAL FOREST CANOPY STRUCTURE FROM TERRESTRIAL LASER SCANNING
Workshop on 3D Remote Sensing in Forestry, 14 th -15 th Feb. 2006, Vienna Session 2b 50 THREE-DIMENSIONAL FOREST CANOPY STRUCTURE FROM TERRESTRIAL LASER SCANNING F. Mark Danson 1, David Hetherington 1,
More informationDefining Remote Sensing
Defining Remote Sensing Remote Sensing is a technology for sampling electromagnetic radiation to acquire and interpret non-immediate geospatial data from which to extract information about features, objects,
More informationLab on MODIS Cloud spectral properties, Cloud Mask, NDVI and Fire Detection
MODIS and AIRS Workshop 5 April 2006 Pretoria, South Africa 5/2/2006 10:54 AM LAB 2 Lab on MODIS Cloud spectral properties, Cloud Mask, NDVI and Fire Detection This Lab was prepared to provide practical
More informationGlobal and Regional Retrieval of Aerosol from MODIS
Global and Regional Retrieval of Aerosol from MODIS Why study aerosols? CLIMATE VISIBILITY Presented to UMBC/NESDIS June 4, 24 Robert Levy, Lorraine Remer, Yoram Kaufman, Allen Chu, Russ Dickerson modis-atmos.gsfc.nasa.gov
More informationIntegration of airborne LiDAR and hyperspectral remote sensing data to support the Vegetation Resources Inventory and sustainable forest management
Integration of airborne LiDAR and hyperspectral remote sensing data to support the Vegetation Resources Inventory and sustainable forest management Executive Summary This project has addressed a number
More informationShallow-water Remote Sensing: Lecture 1: Overview
Shallow-water Remote Sensing: Lecture 1: Overview Curtis Mobley Vice President for Science and Senior Scientist Sequoia Scientific, Inc. Bellevue, WA 98005 curtis.mobley@sequoiasci.com IOCCG Course Villefranche-sur-Mer,
More informationLiDAR and its use for the enhanced forest inventory
LiDAR and its use for the enhanced forest inventory Richard Fournier Département de géomatique appliquée Workshop of the Canadian Institute of Forestry Corner Brook, Newfoundland, March 27 2013 LiDAR -
More informationTOA RADIANCE SIMULATOR FOR THE NEW HYPERSPECTRAL MISSIONS: STORE (SIMULATOR OF TOA RADIANCE)
TOA RADIANCE SIMULATOR FOR THE NEW HYPERSPECTRAL MISSIONS: STORE (SIMULATOR OF TOA RADIANCE) Malvina Silvestri Istituto Nazionale di Geofisica e Vulcanologia In the frame of the Italian Space Agency (ASI)
More informationExploring Techniques for Improving Retrievals of Bio-optical Properties of Coastal Waters
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Exploring Techniques for Improving Retrievals of Bio-optical Properties of Coastal Waters Samir Ahmed Department of Electrical
More informationAtmospheric correction of hyperspectral ocean color sensors: application to HICO
Atmospheric correction of hyperspectral ocean color sensors: application to HICO Amir Ibrahim NASA GSFC / USRA Bryan Franz, Zia Ahmad, Kirk knobelspiesse (NASA GSFC), and Bo-Cai Gao (NRL) Remote sensing
More informationEvaluation of Satellite Ocean Color Data Using SIMBADA Radiometers
Evaluation of Satellite Ocean Color Data Using SIMBADA Radiometers Robert Frouin Scripps Institution of Oceanography, la Jolla, California OCR-VC Workshop, 21 October 2010, Ispra, Italy The SIMBADA Project
More informationLIDAR MAPPING FACT SHEET
1. LIDAR THEORY What is lidar? Lidar is an acronym for light detection and ranging. In the mapping industry, this term is used to describe an airborne laser profiling system that produces location and
More informationUsing LiDAR for Classification and
Using LiDAR for Classification and Recognition of Particulate Matter in the Atmosphere M. Elbakary, K. Iftekharuddin, and K. AFRIFA ECE Dept., Old Dominion University, Norfolk, VA Outline Goals of the
More informationLIDAR an Introduction and Overview
LIDAR an Introduction and Overview Rooster Rock State Park & Crown Point. Oregon DOGAMI Lidar Project Presented by Keith Marcoe GEOG581, Fall 2007. Portland State University. Light Detection And Ranging
More informationLidar for Vegetation Applications
Lidar for Vegetation Applications P. Lewis 1, R. Casey 1, and S. Hancock 2 1 Department of Geography, UCL, WC1E 6BT, UK 2 University of Durham, DH1 3LR Contact: plewis@geog.ucl.ac.uk Section 1: Introduction
More information9/14/2011. Contents. Lecture 3: Spatial Data Acquisition in GIS. Dr. Bo Wu Learning Outcomes. Data Input Stream in GIS
Contents Lecture 3: Spatial Data Acquisition in GIS Dr. Bo Wu lsbowu@polyu.edu.hk 1. Learning outcomes. Data acquisition: Manual digitization 3. Data acquisition: Field survey 4. Data acquisition: Remote
More informationPROSPECT+SAIL: 15 Years of Use for Land Surface Characterization
PROSPECT+SAIL: 15 Years of Use for Land Surface Characterization S. Jacquemoud, W. Verhoef, F. Baret, P.J. Zarco-Tejada G.P. Asner, C. François, and S.L. Ustin State of Science of Environmental Applications
More informationMissile Simulation in Support of Research, Development, Test Evaluation and Acquisition
NDIA 2012 Missile Simulation in Support of Research, Development, Test Evaluation and Acquisition 15 May 2012 Briefed by: Stephanie Brown Reitmeier United States Army Aviation and Missile Research, Development,
More informationIntroduction to Remote Sensing
Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices Image classifications Image change detections Accuracy assessment Satellites & Air-Photos
More information2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Introduction to Remote Sensing
2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing Introduction to Remote Sensing Curtis Mobley Delivered at the Darling Marine Center, University of Maine July 2017 Copyright 2017
More informationModeling reflectance and transmittance of leaves in the µm domain: PROSPECT-VISIR
Modeling reflectance and transmittance of leaves in the 0.4-5.7 µm domain: PROSPECT-VISIR F. Gerber 1,2, R. Marion 1, S. Jacquemoud 2, A. Olioso 3 et S. Fabre 4 1 CEA/DASE/Télédétection, Surveillance,
More informationCourse Outline (1) #6 Data Acquisition for Built Environment. Fumio YAMAZAKI
AT09.98 Applied GIS and Remote Sensing for Disaster Mitigation #6 Data Acquisition for Built Environment 9 October, 2002 Fumio YAMAZAKI yamazaki@ait.ac.th http://www.star.ait.ac.th/~yamazaki/ Course Outline
More informationCALIPSO Version 3 Data Products: Additions and Improvements
CALIPSO Version 3 Data Products: Additions and Improvements Dave Winker and the CALIPSO team CALIPSO/CloudSat Science Team Meeting 28-31 July, Madison, WI 1 Version 3 Status Version 3 algorithms now used
More informationRetrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing
Retrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing Presented by: Amir Ibrahim Optical Remote Sensing Laboratory, The City College of the City University
More informationRetrieval of Aerosol and Cloud Properties using the ATSR Dual and Single View algorithms
Retrieval of Aerosol and Cloud Properties using the ATSR Dual and Single View algorithms Gerrit de Leeuw 1,2, Larisa Sogacheva 1, Pekka Kolmonen 1, Giulia Saponaro 1, Timo H. Virtanen 1, Edith Rodriguez
More informationClaus Weitkamp Editor. Lidar. Range-Resolved Optical Remote Sensing of the Atmosphere. Foreword by Herbert Walther. With 162 Ulustrations.
Claus Weitkamp Editor Lidar Range-Resolved Optical Remote Sensing of the Atmosphere Foreword by Herbert Walther With 162 Ulustrations 4Q Springer Contents Foreword Preface List of Contributors v vii xix
More informationAerosol Remote Sensing from PARASOL and the A-Train
Aerosol Remote Sensing from PARASOL and the A-Train J.-F. Léon, D. Tanré, J.-L. Deuzé, M. Herman, P. Goloub, P. Lallart Laboratoire d Optique Atmosphérique, France A. Lifermann Centre National d Etudes
More informationTesting Hyperspectral Remote Sensing Monitoring Techniques for Geological CO 2 Storage at Natural Seeps
Testing Hyperspectral Remote Sensing Monitoring Techniques for Geological CO 2 Storage at Natural Seeps Luke Bateson Clare Fleming Jonathan Pearce British Geological Survey In what ways can EO help with
More informationIn addition, the image registration and geocoding functionality is also available as a separate GEO package.
GAMMA Software information: GAMMA Software supports the entire processing from SAR raw data to products such as digital elevation models, displacement maps and landuse maps. The software is grouped into
More informationHYPERSPECTRAL DATA FOR FOREST INVENTORIES. Henning Aberle, M.Sc. Bogor & Jakarta, Indonesia March 2014
T HE E C O L O G I C A L A N D E C O N O M I C C H A L L E N G E S OF M A N A G I N G F O R E S T E D L A N D S C A P E S IN A G L O B A L C O N T E X T - F O C U S : A S I A HYPERSPECTRAL DATA FOR FOREST
More informationVALERI 2003 : Concepcion site (Mixed Forest) GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS
VALERI 2003 : Concepcion site (Mixed Forest) GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS Marie Weiss 1 Introduction This report describes the production of the high resolution,
More informationCHRIS PROBA instrument
CHRIS PROBA instrument Wout Verhoef ITC, The Netherlands verhoef @itc.nl 29 June 2009, D1L5 Contents Satellite and instrument Images Multi-angular analysis Toolbox CHRIS-PROBA PROBA-CHRIS Project for On-Board
More informationUpdate on Pre-Cursor Calibration Analysis of Sentinel 2. Dennis Helder Nischal Mishra Larry Leigh Dave Aaron
Update on Pre-Cursor Calibration Analysis of Sentinel 2 Dennis Helder Nischal Mishra Larry Leigh Dave Aaron Background The value of Sentinel-2 data, to the Landsat world, will be entirely dependent on
More informationLocating the Shadow Regions in LiDAR Data: Results on the SHARE 2012 Dataset
Locating the Shadow Regions in LiDAR Data: Results on the SHARE 22 Dataset Mustafa BOYACI, Seniha Esen YUKSEL* Hacettepe University, Department of Electrical and Electronics Engineering Beytepe, Ankara,
More informationNATIONAL TECHNICAL UNIVERSITY OF ATHENS PERMANENT COMMITTEE FOR BASIC RESEARCH NTUA BASIC RESEARCH SUPPORT PROGRAMME THALES 2001
NATIONAL TECHNICAL UNIVERSITY OF ATHENS PERMANENT COMMITTEE FOR BASIC RESEARCH NTUA BASIC RESEARCH SUPPORT PROGRAMME THALES 001 «USE OF LIDAR TECHNOLOGY FOR ATMOSPHERIC CORRECTION OF DIGITAL REMOTE SENSING
More informationNATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN
NATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN OVERVIEW National point clouds Airborne laser scanning in the Netherlands Quality control Developments in lidar
More informationValleys Deep and Mountains High
Valleys Deep and Mountains High Purpose With this activity, you will learn and simulate how altitudes and the height of the Earth s surface can be measured from space. Later, you will explore different
More informationMonte Carlo Ray Tracing Based Non-Linear Mixture Model of Mixed Pixels in Earth Observation Satellite Imagery Data
Monte Carlo Ray Tracing Based Non-Linear Mixture Model of Mixed Pixels in Earth Observation Satellite Imagery Data Verification of non-linear mixed pixel model with real remote sensing satellite images
More informationModeling Lidar Waveforms in Heterogeneous and Discrete Canopies
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 39, NO. 9, SEPTEMBER 2001 1943 Modeling Lidar Waveforms in Heterogeneous and Discrete Canopies Wenge Ni-Meister, David L. B. Jupp, and Ralph Dubayah
More informationDELIVERABLE 2 SPECIALIZED NOVEL SOFTWARE FOR THE ACQUISITION AND ANALYSIS OF 6 DIFFERENT LIDAR SIGNALS IN REAL TIME
DELIVERABLE 2 SPECIALIZED NOVEL SOFTWARE FOR THE ACQUISITION AND ANALYSIS OF 6 DIFFERENT LIDAR SIGNALS IN REAL TIME Project Title : Development of a 6-wavelength LIDAR system for the retrieval of the microphysical
More informationLaser Beacon Tracking for High-Accuracy Attitude Determination
Laser Beacon Tracking for High-Accuracy Attitude Determination Tam Nguyen Massachusetts Institute of Technology 29 th AIAA/USU Conference on Small Satellites SSC15-VIII-2 08/12/2015 Outline Motivation
More informationFOR 274: Surfaces from Lidar. Lidar DEMs: Understanding the Returns. Lidar DEMs: Understanding the Returns
FOR 274: Surfaces from Lidar LiDAR for DEMs The Main Principal Common Methods Limitations Readings: See Website Lidar DEMs: Understanding the Returns The laser pulse travel can travel through trees before
More informationThematic Mapping with Remote Sensing Satellite Networks
Thematic Mapping with Remote Sensing Satellite Networks College of Engineering and Computer Science The Australian National University outline satellite networks implications for analytical methods candidate
More informationEXTRACTING SURFACE FEATURES OF THE NUECES RIVER DELTA USING LIDAR POINTS INTRODUCTION
EXTRACTING SURFACE FEATURES OF THE NUECES RIVER DELTA USING LIDAR POINTS Lihong Su, Post-Doctoral Research Associate James Gibeaut, Associate Research Professor Harte Research Institute for Gulf of Mexico
More informationAn Overview of the CHRIS/PROBA Mission: A New Generation of Multiangle Hyperspectral Remote Sensing and Its Application to Agriculture
An Overview of the CHRIS/PROBA Mission: A New Generation of Multiangle Hyperspectral Remote SUGIANTO, Ray MERTON and Shawn LAFFAN, Australia Key word: CHRIS/PROBA, Multi-angle hyperspectral, agriculture
More informationInteractive comment on Quantification and mitigation of the impact of scene inhomogeneity on Sentinel-4 UVN UV-VIS retrievals by S. Noël et al.
Atmos. Meas. Tech. Discuss., 5, C751 C762, 2012 www.atmos-meas-tech-discuss.net/5/c751/2012/ Author(s) 2012. This work is distributed under the Creative Commons Attribute 3.0 License. Atmospheric Measurement
More informationChapter 7: Geometrical Optics. The branch of physics which studies the properties of light using the ray model of light.
Chapter 7: Geometrical Optics The branch of physics which studies the properties of light using the ray model of light. Overview Geometrical Optics Spherical Mirror Refraction Thin Lens f u v r and f 2
More informationNEXTMap World 10 Digital Elevation Model
NEXTMap Digital Elevation Model Intermap Technologies, Inc. 8310 South Valley Highway, Suite 400 Englewood, CO 80112 10012015 NEXTMap (top) provides an improvement in vertical accuracy and brings out greater
More informationVALIDATION OF ENVISAT RADAR ALTIMETRY WITHIN THE OSCAR PROJECT
VALIDATION OF ENVISAT RADAR ALTIMETRY WITHIN THE OSCAR PROJECT F. Blarel, B. Legresy and F. Remy LEGOS, CNRS, 14 Avenue Edouard Belin, 31400 Toulouse, FRANCE, Email:blarel@legos.obs-mip.fr ABSTRACT The
More informationData Mining Support for Aerosol Retrieval and Analysis:
Data Mining Support for Aerosol Retrieval and Analysis: Our Approach and Preliminary Results Zoran Obradovic 1 joint work with Amy Braverman 2, Bo Han 1, Zhanqing Li 3, Yong Li 1, Kang Peng 1, Yilian Qin
More informationLecture 5. Multiple scattering as a source of radiation. Reflectance from surfaces. Remote sensing of ocean color.
Lecture 5. Multiple scattering as a source of raiation. Reflectance from surfaces. Remote sensing of ocean color. 1. Direct an iffuse raiation. Multiple scattering. Single scattering approximation. 2.
More informationTowards a robust model of planetary thermal profiles
Towards a robust model of planetary thermal profiles RT Equation: General Solution: RT Equation: General Solution: Extinction coefficient Emission coefficient How would you express the Source function
More information