FloX integrated data flow: from tower to database
|
|
|
- Basil Conley
- 5 years ago
- Views:
Transcription
1 FloX integrated data flow: from tower to database Andreas Hueni, Simon Trim 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 1
2 Overview FloX/RoX Spectral database Integrated data flow 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 2
3 Overview FloX/RoX Spectral database Integrated data flow Import FloX data into SPECCHIO 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 3
4 Overview FloX/RoX Spectral database Integrated data flow Streamlined graphical user interfaces: Java application to interface with FloX/RoX 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 4
5 Overview FloX/RoX Spectral database Integrated data flow AtmoFLEX: background and framework and how the above could benefit it 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 5
6 FloX: Fluorescence box and RoX: Reflectance box Spectroradiometers Recent development from JB Hyperspectral Devices FloX: designed to passively measure sun-induced Chlorophyll fluorescence in the 650 nm to 800 nm spectral range RoX: designed to measure solar radiance, reflected radiance and reflectance covering the range from 300 nm to 950 nm Instruments designed for autonomous longterm operations, typically to be mounted on FLUX towers JB Hyperspectral Devices 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 6
7 FloX: Fluorescence box and RoX: Reflectance box Spectroradiometers Recent development from JB Hyperspectral Devices FloX: designed to passively measure sun-induced Chlorophyll fluorescence in the 650 nm to 800 nm spectral range RoX: designed to measure solar radiance, reflected radiance and reflectance covering the range from 300 nm to 950 nm Instruments designed for autonomous longterm operations, typically to be mounted on FLUX towers 5/14/2018 Can implement integrated data flow from tower to database FloX integrated data flow: from tower to database, Hueni et al. JB Hyperspectral Devices Page 7
8 Spectral Database SPECCHIO Rationale: improve long-term usability and data sharing (A. Hueni et al., 2009) Repository for spectroradiometer data and associated metadata Java-based application keeps it independent of OS Runs on any machine with Java Virtual Machine, connects to database via TCP/IP on a configurable port (hence via Web). 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 8
9 Spectral Database SPECCHIO Main characteristics: Flexible data retrieval mechanisms Highly automated Stores info in a relational database Spectral database with efficient data import, automated metadata generation, editing and retrieval via a Java app 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 9
10 SPECCHIO API Spectral Database SPECCHIO Web Browser Interface SPECCHIO App Java VM (JRE 1.6) Pure Java HTTP / HTTPS Port Glassfish Application Server & Web Server Port 3306 Higher Level Languages App with SPECCHIO Java components SPECCHIO DB MySQL Database Server User Workstation SPECCHIO Server 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 10
11 Spectral Database SPECCHIO Development History Version 0: In-house only Version 1: Java based + Online database. Available to community Version 2: First generic metadata support Version 3: Australian National Data Service project (SPECCHIO Australia). Full generic metadata support. Open Source Version 3.3: Hosting of SPECCHIO for Australia by Geoscience Australia (GA). Optimised metadata storage at hierarchy levels Longest development record of any public spectral database in the remote sensing community 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 11
12 FloX integrated data flow to SPECCHIO FloX Control Computer CRON SPECCHIO nightly load SPECCHIO Cloud Raw data FloX Spectra SPECCHIO Client Year, Month, Day..csv 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 12
13 FloX integrated data flow to SPECCHIO FloX Control Computer CRON SPECCHIO nightly load SPECCHIO Cloud Raw data SPECCHIO Client FloX Spectra Year, Month, Day..csv AtmoFlex Next: -> Image support in SPECCHIO 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 13
14 HTTP / HTTPS Port Use case for the scheduled data loading to SPECCHIO RadCalNet Gobabeb SPECCHIO MetEOC-3 Server Scheduled Java Loader SPECCHIO API Glassfish Application Server Port 3306 File System File Server SPECCHIO SPECCHIO DB Server MySQL Database Server 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 14
15 HTTP / HTTPS Port Use case for the scheduled data loading to SPECCHIO RadCalNet Gobabeb SPECCHIO MetEOC-3 Server Scheduled Java Loader SPECCHIO API Glassfish Application Server Port 3306 File System File Server SPECCHIO SPECCHIO DB Server MySQL Database Server Use case for the scheduled data loading is online: 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 15
16 Demonstration: Importing FloX data into SPECCHIO 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 16
17
18 Further case study: User-friendly FloX interface (RSL, University of Applied Sciences and Arts Northwestern Switzerland) Demonstrate the potential of streamlined graphical user interfaces Java application to interface with FloX/RoX field spectroradiometers and manage spectral data imported from their SD storage cards: FloX/RoX Visualization Application (FRVA) FRVA showing stored radiance values of upward and downward looking channels acquired under low light conditions (A. Hueni et al., 2018) 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 18
19 Further case study: User-friendly FloX interface (RSL, University of Applied Sciences and Arts Northwestern Switzerland) Demonstrate the potential of streamlined graphical user interfaces Java application to interface with FloX/RoX field spectroradiometers and manage spectral data imported from their SD storage cards: FloX/RoX Visualization Application (FRVA) Example of a hierarchy as shown by the FRVA (A. Hueni et al., 2018) 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 19
20 Further case study: User-friendly FloX interface (RSL, University of Applied Sciences and Arts Northwestern Switzerland) Demonstrate the potential of streamlined graphical user interfaces Java application to interface with FloX/RoX field spectroradiometers and manage spectral data imported from their SD storage cards: FloX/RoX Visualization Application (FRVA) Code and compiled binaries are freely available on GitHub: 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 20
21 FLEX: Background Main challenge for calibration/validation Lab and Field vegetation fluorescence measurement techniques adapt into Remote sensing systems operated from aircraft and satellites New ability: mapping of photosynthetic efficiencies over large geographical areas (ultimately global scale) 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 21
22 FLEX: Background Any EO mission requires land-based and airborne measurements to validate satellite data 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. ESA, SP-1330/2 (Figure 6.7, June 2015) Page 22
23 AtmoFLEX: Framework and Goals FLEX: FLuorescence EXplorer ESA s 8 th Earth Explorer mission AtmoFLEX campaign Supporting science study for FLEX ESA Use FloX instruments to make a reference network of equally-equipped sites Establish a reference database for FLEX-related projects (incl. Sentinel-3) 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 23
24 Recap and Outlook As of now, one can already import FloX/RoX.csv files into SPECCHIO Remaining tasks for automated data flow: generate time-structured folders to copy over daily data from tower sites, calibration data + remaining metadata parameters FLEX challenge: like every EO mission, combine in situ ground data (here: FloX) with satellite products for calibration and validation This database might be interesting for AtmoFlex! Not covered: processing of the data to radiance or fluorescence BUT option to integrate the processing module within SPECCHIO in the future 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 24
25 Thank you for your attention SPECCHIO website: 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 25
26
27 FLEX: Background General interest in developing new abilities to acquire further insight into Earth-system processes including photosynthesis Most information about terrestrial vegetation obtained from reflectance alone BUT emitted radiation (spectral fluorescence) can be used to identify the dynamical status of vegetation (stress) Fluorescence: the most directly measurable indicator for photosynthetic efficiency Interest in remote sensing of fluorescence 5/14/2018 FloX integrated data flow: from tower to database, Hueni et al. Page 27
28 Kernfarben 100% Blau Grau Ockerrot 80% 0R 40G 165B 163R 173G 183B 220R 96G 39B 60% 51R 83G 183B 181R 189G 197B 227R 128G 82B 40% 102R 126G 201B 200R 206G 212B 234R 160G 125B 20% 153R 169G 219B 204R 212G 237B 218R 222G 226B 237R 239G 241B 241R 191G 169B 248R 223G 212B 5/14/2018 UZH-Farbpalette Page 28
29 Ergänzungsfarben Türkis Flaschengrün Lindengrün Warmgelb 100% 11R 130G 160B 42R 127G 98B 145R 195G 74B 254R 222G 0B 80% 60R 159G 182B 86R 157G 133B 170R 212G 112B 251R 230G 81B 60% 107R 183G 199B 128R 182G 164B 191R 223G 148B 252R 236G 124B 40% 158R 208G 217B 171R 206G 194B 213R 233G 183B 253R 243G 168B 20% 207R 232G 236B 213R 231G 225B 234R 244G 219B 254R 249B 211B 5/14/2018 UZH-Farbpalette Page 29
Exploiting top of Canopy Sun Induced Chlorophyll Fluorescence by the FloX. From Instrument performance to data processing
Exploiting top of Canopy Sun Induced Chlorophyll Fluorescence by the FloX. From Instrument performance to data processing Tommaso Julitta, Andreas Burkart, Roberto Colombo, Micol Rossini, Anke Schickling,
SPECCHIO uses a Client-Server architecture. This User Guide details operation of the Client component of SPECCHIO only.
Version: 3.1.0 Date: 07.03.2014 Status: Approved Authors: P. Roberts & N. Sheppard (Intersect), A. Hueni (UZH) File: Pages: 7 Classification: Distribution: SPECCHIO Users Version 3.1.0 / 07.03.2014 Page
PROCESSING EXTENSION FOR THE SPECTRAL DATABASE SPECCHIO
PROCESSING EXTENSION FOR THE SPECTRAL DATABASE SPECCHIO Andreas Hueni a, Mathias Kneubuehler a, Jens Nieke b and Klaus I. Itten a a University of Zürich, Department of Geography, RSL, Zürich, Switzerland
Attività cal/val missione FLEX e possibili sinergie con PRISMA
Attività cal/val missione FLEX e possibili sinergie con PRISMA Colombo R. 1, Miglietta F. 2, Cogliati S. 1 1 Department of Earth and Environmental Sciences, University Milano-Bicocca, Milano, Italy 2 CNR-IBIMET,
Linking 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
Zurich Open Repository and Archive. Supporting facilities of the airborne imaging spectrometer APEX
University of Zurich Zurich Open Repository and Archive Winterthurerstr. 190 CH-8057 Zurich Year: 2008 Supporting facilities of the airborne imaging spectrometer APEX Nieke, J; Itten, K I; Meuleman, K;
Testing 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
Potential of Sentinel-2 for retrieval of biophysical and biochemical vegetation parameters
Insert the title of your slide Potential of Sentinel-2 for retrieval of biophysical and biochemical vegetation parameters D. Scheffler, T. Kuester, K. Segl, D. Spengler and H. Kaufmann Motivation Insert
Field Spectroscopy, and its role in Earth Observation
Field Spectroscopy, and its role in Earth Observation Ted Milton University of Southampton, UK e.j.milton@soton.ac.uk Paul Cezanne, Mont Sainte-Victoire, seen from the road to Le Tholonet, 1896-98 Vincent
CHRIS 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
UAV-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
GODDARD SPACE FLIGHT CENTER. Future of cal/val. K. Thome NASA/GSFC
GODDARD SPACE FLIGHT CENTER Future of cal/val K. Thome NASA/GSFC Key issues for cal/val Importance of cal/val continues to increase as models improve and budget pressures go up Better cal/val approaches
SPECCHIO: A Free Spectral Data Management and Processing System
SPECCHIO: A Free Spectral Data Management and Processing System A. Hueni * and M. Kneubuehler Remote Sensing Laboratories, Department of Geography, University of Zurich, Switzerland ABSTRACT The management
2010 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
DIGITAL EARTH AUSTRALIA AND OPEN DATA CUBE TRAINING WORKSHOP
DIGITAL EARTH AUSTRALIA AND OPEN DATA CUBE TRAINING WORKSHOP VIEW, ACCESS AND ANALYSE DATA Authors: Alex Leith, Felix Lipkin and Jess Keysers Document Control Date: 29 March 2019 Version: 1.1 (FINAL) Review:
BlackPearl Customer Created Clients Using Free & Open Source Tools
BlackPearl Customer Created Clients Using Free & Open Source Tools December 2017 Contents A B S T R A C T... 3 I N T R O D U C T I O N... 3 B U L D I N G A C U S T O M E R C R E A T E D C L I E N T...
Airborne Hyperspectral Imaging Using the CASI1500
Airborne Hyperspectral Imaging Using the CASI1500 AGRISAR/EAGLE 2006, ITRES Research CASI 1500 overview A class leading VNIR sensor with extremely sharp optics. 380 to 1050nm range 288 spectral bands ~1500
McIDAS-V - A powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data *
McIDAS-V - A powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data * Thomas Achtor, Thomas Rink, Thomas Whittaker, David Parker and David Santek Space Science
CHRIS 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.
TOA 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)
Retrieval of crop characteristics from high resolution airborne scanner data
Retrieval of crop characteristics from high resolution airborne scanner data K. Richter 1, F. Vuolo 2, G. D Urso 1, G. Fernandez 3 1 DIIAT, Facoltà di Agraria, Università degli studi di Napoli Federico
Improvements to Ozone Mapping Profiler Suite (OMPS) Sensor Data Record (SDR)
Improvements to Ozone Mapping Profiler Suite (OMPS) Sensor Data Record (SDR) *C. Pan 1, F. Weng 2, T. Beck 2 and S. Ding 3 * 1 ESSIC, University of Maryland, College Park, MD 20740; 2 NOAA NESDIS/STAR,
THE 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
SPECCHIO Administrators
SPECCHIO Page 1 SPECCHIO Administration Guide Version: 2.2 Date: 31.05.2012 Status: Valid Author: A. Hueni, Remote Sensing Laboratories, University of Zurich File: \SPECCHIO AdminGuide_V2.2.docx Pages:
User Guide. SPECCHIO Page 1 User Guide of 98. Version: 2.0 Date:
SPECCHIO Page 1 User Guide Version: 2.0 Date: 12.03.2009 Status: Valid Author: A. Hueni, Remote Sensing Laboratories, University of Zurich File: \SPECCHIO_UserGuide_V2.0.docx Pages: 98 Classification:
Application of Hyperspectral Remote Sensing for LAI Estimation in Precision Farming
Preprint/Prétirage Application of Hyperspectral Remote Sensing for LAI Estimation in Precision Farming Anna Pacheco, Abdou Bannari Remote Sensing and Geomatics of Environment Laboratory Department of Geography,
Optical/Thermal: Principles & Applications
Optical/Thermal: Principles & Applications Jose F. Moreno University of Valencia, Spain Jose.Moreno@uv.es Lecture D1T2 1 July 2013 23/07/2013 1 OPTICAL PRINCIPLES AND APPLICATIONS Information content of
escience in the Cloud: A MODIS Satellite Data Reprojection and Reduction Pipeline in the Windows
escience in the Cloud: A MODIS Satellite Data Reprojection and Reduction Pipeline in the Windows Jie Li1, Deb Agarwal2, Azure Marty Platform Humphrey1, Keith Jackson2, Catharine van Ingen3, Youngryel Ryu4
HyperDB: A Hyperspectral Land Class Database Designed for an Image Processing System
TSINGHUA SCIENCE AND TECHNOLOGY ISSNll1007-0214ll11/11llpp112 118 Volume 22, Number 1, February 2017 HyperDB: A Hyperspectral Land Class Database Designed for an Image Processing System Yizhou Fan, Ding
Creating BlackPearl S3 Clients Using Free and Open Source Tools. Easily move data to low-cost deep storage
Creating BlackPearl S3 Clients Using Free and Open Source Tools Easily move data to low-cost deep storage 6/23/2015 Contents Abstract... 3 Introduction... 3 Components for Building Spectra S3 Clients...
/$ IEEE
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 47, NO. 1, JANUARY 2009 29 Structure, Components, and Interfaces of the Airborne Prism Experiment (APEX) Processing and Archiving Facility Andreas
The VITO Earth Observation LTDA Facility
15/12/2009 The VITO Earth Observation LTDA Facility PV2009 Madrid Martine Paepen VITO Flemish Institute for Technological Research Boeretang 200, B-2400 Mol, Belgium Tel: +32 14 33.67.21 martine.paepen@vito.be
Analisi di immagini iperspettrali satellitari multitemporali: metodi ed applicazioni
Analisi di immagini iperspettrali satellitari multitemporali: metodi ed applicazioni E-mail: bovolo@fbk.eu Web page: http://rsde.fbk.eu Outline 1 Multitemporal image analysis 2 Multitemporal images pre-processing
Quality 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,
Integration 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
Sentinel-2 Calibration and Validation : from the Instrument to Level 2 Products
Sentinel-2 Calibration and Validation : from the Instrument to Level 2 Products Vincent Lonjou a, Thierry Tremas a, Sophie Lachérade a, Cécile Dechoz a, Florie Languille a, Aimé Meygret a, Olivier Hagolle
Task 1 User Services and Mission Planning
Task 1 User Services and Mission Planning CUT Software Administrator and Operator Manual Written by: Company: Francesco Macri' Taitus Software Italia srl Pag. 1/15 Abstract This Software Administrator
AISASYSTEMS PRODUCE MORE WITH LESS
AISASYSTEMS PRODUCE MORE WITH LESS AISASYSTEMS SPECIM s AISA systems are state-of-the-art airborne hyperspectral imaging solutions covering the VNIR, NIR, SWIR and LWIR spectral ranges. The sensors unbeatable
ARTMO s Global Sensitivity Analysis (GSA) toolbox to quantify driving variables of leaf and canopy radiative transfer models
[1] ARTMO s Sobol', I.M., Global GSA sensitivity toolbox indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, 55(1-3), 271-28, 21. 1/2 ARTMO
TELEDYNE GEOSPATIAL SOLUTIONS
GEOSPATIAL SOLUTIONS THE CONTENTS TELEDYNE GEOSPATIAL SOLUTIONS Capability Overview... 4 Hosted Payloads... 6 Payload Operations as a Service... 8 TCloud Data Management... 10 Imagery Sales... 12 About
PROSPECT+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
Overview of the EnMAP Imaging Spectroscopy Mission
Overview of the EnMAP Imaging Spectroscopy Mission L. Guanter, H. Kaufmann, K. Segl, S. Foerster, T. Storch, A. Mueller, U. Heiden, M. Bachmann, G. Rossner, C. Chlebek, S. Fischer, B. Sang, the EnMAP Science
Sentinel-2/Landsat-8 Characterization and Cross - Cal
Sentinel-2/Landsat-8 Characterization and Cross - Cal Markham Support for analysis of MSI performance data; coordination of Cal Team; Pre-launch Cross calibrations Helder/Leigh Improved use of PICS sites
Optical 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
SPECCHIO Page 1 User Guide of 110
SPECCHIO Page 1 User Guide Version: 2.2.0 Date: 02.05.2012 Status: Valid Authors: A. Hueni & D. Kuekenbrink Remote Sensing Laboratories, University of Zurich File: \SPECCHIO_UserGuide_V2.2.0.docx Pages:
User Guide. SPECCHIO Page 1 User Guide of 103. Version: 2.1c Date:
SPECCHIO Page 1 User Guide Version: 2.1c Date: 25.09.2010 Status: Valid Author: A. Hueni, Remote Sensing Laboratories, University of Zurich File: \SPECCHIO_UserGuide_V2.1c.docx Pages: 103 Classification:
Calibration 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
SNAP-Sentinel-1 in a Nutshell
SNAP-Sentinel-1 in a Nutshell Dr. Andrea Minchella 21-22/01/2016 ESA SNAP-Sentinel-1 Training Course Satellite Applications Catapult - Electron Building, Harwell, Oxfordshire What is SNAP? Credit: SNAP
European Data Relay Satellite System EDA Workshop
European Data Relay Satellite System EDA Workshop Brussels 7/06/2011 Agenda 1. Rationale for Data Relay Services 2. Potential benefits for Earth Observation systems 3. EDRS Programme principles, targeted
GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY. Yong Xie
Prepared by CNSA Agenda Item: WG.3 GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY Yong Xie Institute of Remote Sensing and Digital Earth, Chinese Academy of Science GF-1 and
LAB EXERCISE NO. 02 DUE DATE: 9/22/2015 Total Points: 4 TOPIC: TOA REFLECTANCE COMPUTATION FROM LANDSAT IMAGES
LAB EXERCISE NO. 02 DUE DATE: 9/22/2015 Total Points: 4 TOPIC: TOA REFLECTANCE COMPUTATION FROM LANDSAT IMAGES You are asked to perform a radiometric conversion from raw digital numbers to reflectance
GOCI Post-launch calibration and GOCI-II Pre-launch calibration plan
Breakout Session: Satellite Calibration, IOCS Meeting 2015, 18 June 2015. GOCI Post-launch calibration and GOCI-II Pre-launch calibration plan Seongick CHO Korea Ocean Satellite Center, Korea Institute
Data Curation Practices at the Oak Ridge National Laboratory Distributed Active Archive Center
Data Curation Practices at the Oak Ridge National Laboratory Distributed Active Archive Center Robert Cook, DAAC Scientist Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN cookrb@ornl.gov
Manual Ftp Windows 7 Server 2008 R2 Java
Manual Ftp Windows 7 Server 2008 R2 Java Configuration Guide Windows Server 2008, Server 2008 R2*, Server 2012, Server 2012 R2, 7, and 8 (x86-64) This means that it will recognize a FTP server running
Analysis Ready Data For Land (CARD4L-ST)
Analysis Ready Data For Land Product Family Specification Surface Temperature (CARD4L-ST) Document status For Adoption as: Product Family Specification, Surface Temperature This Specification should next
Aardobservatie en Data-analyse Image processing
Aardobservatie en Data-analyse Image processing 1 Image processing: Processing of digital images aiming at: - image correction (geometry, dropped lines, etc) - image calibration: DN into radiance or into
Calculation steps 1) Locate the exercise data in your PC C:\...\Data
Calculation steps 1) Locate the exercise data in your PC (freely available from the U.S. Geological Survey: http://earthexplorer.usgs.gov/). C:\...\Data The data consists of two folders, one for Athens
SPEEDING UP THE SIMULATION OF VEGETATION FLUORESCENCE THROUGH EMULATION: PRACTICAL APPLICATIONS FOR FLEX DATA PROCESSING
SPEEDING UP THE SIMULATION OF VEGETATION FLUORESCENCE THROUGH EMULATION: PRACTICAL APPLICATIONS FOR FLEX DATA PROCESSING Jochem Verrelst, Juan Pablo Rivera & Jose Moreno Image Processing Laboratory, Univ.
ATMOSPHERIC CORRECTION ITERATIVE METHOD FOR HIGH RESOLUTION AEROSPACE IMAGING SPECTROMETERS
ATMOSPHERIC CORRECTION ITERATIVE METHOD FOR HIGH RESOLUTION AEROSPACE IMAGING SPECTROMETERS Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi * CNR IFAC Via Madonna del Piano 10, 50019
Meteosat Third Generation (MTG) Lightning Imager (LI) instrument performance and calibration from user perspective
Meteosat Third Generation (MTG) Lightning Imager (LI) instrument performance and calibration from user perspective Marcel Dobber, Jochen Grandell EUMETSAT (Darmstadt, Germany) 1 Meteosat Third Generation
Multi-sensors vicarious calibration activities at CNES
Multi-sensors vicarious calibration activities at CNES Patrice Henry, Bertrand Fougnie June 11, 2013 CNES background in image quality monitoring of operational Earth observation systems Since the launch
Sen2-Agri 2 nd Webinar. 11 January 2018
Sen2-Agri 2 nd Webinar 11 January 2018 Webinar outline 1. Welcome 2. Generic description of Sen2-Agri system Focus to new users 3. Information about the release of the next version 4. Round-table of Sen2-Agri
Cloud-Driven Spatial Intelligence
Cloud-Driven Spatial Intelligence Sandeep K. Singhal Senior Director, Cloud Storage Google sandeepsinghal@google.com Data is Everything. Companies win or lose based on how they use it. Interminable scale
Hyperspectral 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
De-Shadowing of Satellite/Airborne Multispectral and Hyperspectral Imagery
De-Shadowing of Satellite/Airborne Multispectral and Hyperspectral Imagery R. Richter DLR, German Aerospace Center Remote Sensing Data Center D-82234 Wessling GERMANY ABSTRACT A de-shadowing technique
Estimating land surface albedo from polar orbiting and geostationary satellites
Estimating land surface albedo from polar orbiting and geostationary satellites Dongdong Wang Shunlin Liang Tao He Yuan Zhou Department of Geographical Sciences University of Maryland, College Park Nov
*Open source (GIT) *Server : data storage and indexing, web server. *Client : web and stand alone (under development)
EO Open Science 2.0, ESRIN, Oct. 13 2015 *The main objective of the project is to allow oceanographers experts to discover the existence and then to handle jointly, in a convenient, flexible and intuitive
SNAP-Sentinel-1 in a Nutshell
SNAP-Sentinel-1 in a Nutshell Dr. Andrea Minchella 1 st ESA Advanced Training Course on Remote Sensing of the Cryosphere 13 September 2016, University of Leeds, Leeds, UK What is SNAP? Credit: SNAP The
UV Remote Sensing of Volcanic Ash
UV Remote Sensing of Volcanic Ash Kai Yang University of Maryland College Park WMO Inter-comparison of Satellite-based Volcanic Ash Retrieval Algorithms Workshop June 26 July 2, 2015, Madison, Wisconsin
QWG5 PAYLOAD DATA GROUND SEGMENT STATUS 09-10/05/2017 D. CLARIJS
QWG5 PAYLOAD DATA GROUND SEGMENT STATUS 09-10/05/2017 D. CLARIJS PRESENTATION OUTLINE Data reception Processing Reprocessing Product distribution PR PRESENTATION OUTLINE Data reception Processing Reprocessing
Global 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
WHAT IS REMOTE SENSING?
How Does Artificial Intelligence Work with Remote Sensing Technologies for Multi-scale Environmental Change Detection? Prof. Ni-Bin Chang Director, Stormwater Management Academy University of Central Florida
Purpose of Procedure. Customer Responsibilities. Important Customer Information. OpenLAB Data Store Server A Site Preparation Checklist
OpenLAB Site Preparation Data Store Checklist Server A.01.02 Purpose of Procedure To assure the installation of the OpenLAB Data Store Server can be completed successfully by careful preparation and evaluation
Thematic 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
Integrated Multi-Source LiDAR and Imagery
Figure 1: AirDaC aerial scanning system Integrated Multi-Source LiDAR and Imagery The derived benefits of LiDAR scanning in the fields of engineering, surveying, and planning are well documented. It has
GNC on Demand. Final Report. Developers: Andres Westermann Christoph Mülligann
GNC on Demand Final Report Developers: Andres Westermann Christoph Mülligann Damian Lasnia Jafar Hafiz
IMAGING AND FIELD SPECTROMETER DATA S ROLE IN CALIBRATING CLIMATE-QUALITE SENSORS Kurtis, J. Thome NASA/GSFC Greenbelt, MD
IMAGING AND FIELD SPECTROMETER DATA S ROLE IN CALIBRATING CLIMATE-QUALITE SENSORS Kurtis, J. Thome NASA/GSFC Greenbelt, MD Abstract The role of hyperspectral data and imaging spectrometry in the calibration
Spectral Extinction Coefficient measurements of inland waters
Spectral Extinction Coefficient measurements of inland waters M. Potes, M. J. Costa, R. Salgado and P. Le Moigne Évora Geophysics Centre, PORTUGAL CNRM/GMME/MOSAYC Météo-France, FRANCE Third Workshop on
Non-scanning Hyperspectral Imaging and Spectral Video Technique for Object Documentation
Non-scanning Hyperspectral Imaging and Spectral Video Technique for Object Documentation András Jung, René Michels & Rainer Graser Founders of Cubert GmbH and Developers of the Hyperspectral Frame Camera
Evaluation 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
to: Miguel O. Román (NASA, LPV Vice Chair)
WGCV36 Action Items WGCV-36-1: LPV to address the specification of the requirements for a worldwide network of land surface spectral directional measurements for validation of spaceborne retrievals. Assigned
Greece s Collaborative Ground Segment Initiatives
Greece s Collaborative Ground Segment Initiatives Dr Haris KONTOES National Observatory of Athens SENTINEL COLLABORATIVE GS WORKSHOP 2015, 28 May 2015 Matera Collaborative GS workshop 2015 27 28 May 2015
OpenProdoc. ECM Open Source
OpenProdoc ECM Open Source Index Overview Architecture Functionality Security Administration Requirements Roadmap Overview OpenProdoc is a general purpose document management system. It has the standard
Optimizing LUT-based RTM inversion for retrieval of biophysical parameters
Optimizing LUT-based RTM inversion for retrieval of biophysical parameters Jochem Verrelst 1, Juan Pablo Rivera 1, Anna Leoneko 2, Luis Alonso 1, Jose Moreno 1 1 : University of Valencia, Spain 2 : Swansea
Diffraction gratings. e.g., CDs and DVDs
Diffraction gratings e.g., CDs and DVDs Diffraction gratings Constructive interference where: sinθ = m*λ / d (If d > λ) Single-slit diffraction 1.22 * λ / d Grating, plus order-sorting filters on detector
Linking and Finding Earth Observation (EO) Data on the Web
Linking and Finding Earth Observation (EO) Data on the Web MACS-G20 Workshop: Linked Open Data in Agriculture Berlin, September 27-28, 2017 Dr. Uwe Voges u.voges@conterra.de Introduction Earth Observation
Definitions (1/1) Leaf Area Index (LAI, notation used: L) One half the total green leaves area per unit ground area
PINEWOOD LAI AND APAR ESTIMATION BY MULTI-SPECTRAL AND MULTI-ANGULAR SATELLITE DATA R. Benedetti, M. Chiesi*, S. Cristofori, P. Marcoionni**,. Maselli*, I. Pippi** La.M.M.A., Building D - Via Madonna del
Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 12
Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 1 3. EM INTERACTIONS WITH MATERIALS In order for an object to be sensed, the object must reflect,
Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan
Sensitivity Analysis and Error Analysis of Reflectance Based Vicarious Calibration with Estimated Aerosol Refractive Index and Size Distribution Derived from Measured Solar Direct and Diffuse Irradiance
Tom Achtor, Tom Rink, Tom Whittaker. Space Science & Engineering Center (SSEC) at the University of Wisconsin - Madison
Interactive Processing of Multi- and Hyper-spectral Environmental Satellite Data: The Next Generation of McIDAS EUMETSAT-AMS Conf. Amsterdam, NL 27 September 2007 Tom Achtor, Tom Rink, Tom Whittaker Space
SGLI & GLI data policy. Hiroshi Murakami JAXA/EORC Multi-Agency Data Sharing session
SGLI & GLI data policy Hiroshi Murakami JAXA/EORC Multi-Agency Data Sharing session 1 1. GCOM-C1 data distribution 1. Svalbard downlink station Global observation data downlink including all the 250- m
Spectroradiometer Data Structuring, Pre-Processing and Analysis an IT Based Approach
Spectroradiometer Data Structuring, Pre-Processing and Analysis an IT Based Approach A. Hueni* and M. Tuohy Institute of Natural Resources, Massey University, Private Bag, Palmerston North 5301, New Zealand
TOPOGRAPHIC NORMALIZATION INTRODUCTION
TOPOGRAPHIC NORMALIZATION INTRODUCTION Use of remotely sensed data from mountainous regions generally requires additional preprocessing, including corrections for relief displacement and solar illumination
THE EFFECT OF TOPOGRAPHIC FACTOR IN ATMOSPHERIC CORRECTION FOR HYPERSPECTRAL DATA
THE EFFECT OF TOPOGRAPHIC FACTOR IN ATMOSPHERIC CORRECTION FOR HYPERSPECTRAL DATA Tzu-Min Hong 1, Kun-Jen Wu 2, Chi-Kuei Wang 3* 1 Graduate student, Department of Geomatics, National Cheng-Kung University
Space-to-Ground Data Viewer (S2G) & DFDL for Space Library (DFDL4S)
Space-to-Ground Data Viewer (S2G) & DFDL for Space Library (DFDL4S) M. Zundo (1), M. Piñol Solé (1), R. Mestre (2), A. Gutierrez (2) (1) European Space Agency ESTEC The Netherlands (2) DEIMOS Engenharia
Lecture 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
An 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
Algorithms for processing level 1a Tiny Ionospheric Photometer data into level 1b radiances
Algorithms for processing level 1a Tiny Ionospheric Photometer data into level 1b radiances Overview This document describes the algorithms for processing Tiny Ionospheric Photometer (TIP) level 1a data
An Inter-Comparison and Rigorous Analysis of UAV and Manned Airborne Hyperspectral Imagers
Geological Remote Sensing Group Annual General Meeting and Conference 2018 9-12 October 2018 London, England An Inter-Comparison and Rigorous Analysis of UAV and Manned Airborne Hyperspectral Imagers George
Preprocessed Input Data. Description MODIS
Preprocessed Input Data Description MODIS The Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured