Collection of high resolution spectral detail over a large spatial and broad wavelength region from within each pixels instantaneous field of view A standard.

Slides:



Advertisements
Similar presentations
Cloud computing in spatial data processing for the Integrated Geographically Distributed Information System of Earth Remote Sensing (IGDIS ERS) Open Joint-Stock.
Advertisements

Remote sensing, promising tool of the future Mária Szomolányi Ritvayné – Gabriella Frombach VITUKI CONSULT MOKKA Conference, June
Remote Sensing GIS/Remote Sensing Workshop June 6, 2013.
Ecology, Climate, Physical Oceanography. Bering Sea, Alaska SeaWifs Image (Norman Kuring image, NASA, April 25, 1998) Turquoise = phytoplankton bloom.
More than a Pretty Picture: How Landsat Images Are Made Malaspina Glacier, Alaska.
REMOTE SENSING Presented by: Anniken Lydon. What is Remote Sensing? Remote sensing refers to different methods used for the collection of information.
Remote Sensing Hyperspectral Imaging AUTO3160 – Optics Staffan Järn.
Use of Remote Sensing and GIS in Agriculture and Related Disciplines
Application Of Remote Sensing & GIS for Effective Agricultural Management By Dr Jibanananda Roy Consultant, SkyMap Global.
“ I consider that a man's brain originally is like a little empty attic, and you have to stock it with such furniture as you choose. A fool takes in all.
Soil Moisture Estimation Using Hyperspectral SWIR Imagery Poster Number IN43B-1184 D. Lewis, Institute for Technology Development, Building 1103, Suite.
Introduction, Satellite Imaging. Platforms Used to Acquire Remote Sensing Data Aircraft Low, medium & high altitude Higher level of spatial detail Satellite.
Institute of remote sensing applications, CAS China Earth Observation Satellite Program Dr. Yuan Zeng Institute of Remote Sensing Applications,
Wireless Spectral Imaging System for Remote Sensing Mini Senior Design Project Submitted by Hector Erives August 30, 2006.
Integration of sensors for photogrammetry and remote sensing 8 th semester, MS 2005.
Topics Included In Environmental Studies Syllabus.
SPACE EXPLORATION DEVELOPMENT IN ASTRONOMY DEVELOPMENT IN SPACE EXPLORATION THE APPLICATION OF THE TECHNOLOGY RELATED TO ASTRONOMY AND SPACE EXPLORATION.
Remote Sensing Space-based Earth exploration and planetary exploration began with the International Geophysical Year (IGY) which was also the beginning.
DROUGHT MONITORING THROUGH THE USE OF MODIS SATELLITE Amy Anderson, Curt Johnson, Dave Prevedel, & Russ Reading.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Remote Sensing & Satellite Imagery Messana Science 8.
An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.
Josiane Masson, DG ENV.D4 15/01/2014 Earth Observation potential for environmental policy making?
Successful Case Partner: Provincia di Lecce Business: SPACEDAT s.r.l.
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
Remote Sensing Hyperspectral Remote Sensing. 1. Hyperspectral Remote Sensing ► Collects image data in many narrow contiguous spectral bands through the.
Remote Sensing Energy Interactions with Earth Systems.
Image: Dubai | July 5, 2011 | 50cm September 17, 2012 Utilizing Satellite Imagery for Geo-Governance DigitalGlobe Proprietary and Business Confidential.
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
Spectral Characteristics
Operational Agriculture Monitoring System Using Remote Sensing Pei Zhiyuan Center for Remote Sensing Applacation, Ministry of Agriculture, China.
Remote Sensing with Multispectral Scanners. Multispectral scanners First developed in early 1970’s Why use? Concept: Gather data from very specific wavelengths.
Pictures are worth a thousand words…. Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices.
Chapter 5 Remote Sensing Crop Science 6 Fall 2004 October 22, 2004.
Translation to the New TCO Panel Beverly Law Prof. Global Change Forest Science Science Chair, AmeriFlux Network Oregon State University.
What is an image? What is an image and which image bands are “best” for visual interpretation?
Károly Róbert College The GREEN College. Remote sensing applications in disaster management Tibor Bíró dean Károly Róbert College Faculty of Natural Resources.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Mirza Muhammad Waqar HYPERSPECTRAL REMOTE SENSING - SENSORS 1 Contact:
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Spectral response at various targets
Image Interpretation Color Composites Terra, July 6, 2002 Engel-Cox, J. et al Atmospheric Environment.
Hyperspectral remote sensing
INTRODUCTION TO REMOTE SENSING. Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis.
1 October 8, 2015 GIS Day 2015 Geospatial Technologies GPS (global positioning system) –Car GPS systems, yield monitors, smart phones RS (remote sensing)
Mobility and the GIS Experience Brittany Berwanger Fayetteville State University.
Pixel Clustering and Hyperspectral Image Segmentation for Ocean Colour Remote Sensing Xuexing Zeng 1, Jinchang Ren 1, David Mckee 2 Samantha Lavender 3.
U N I V E R S I T À D E G L I S T U D I D I M I L A N O C17 SC for Environmental Applications and Remote Sensing I M S C I A Soft Computing for Environmental.
HYPERSPECTRAL IMAGING. nemo.nrl.navy.mil NEMO satellite COIS sensor instrument Navy Earth Map Observer Characterization of world littoral regions demonstrate.
Remote Sensing Theory & Background III GEOG370 Instructor: Yang Shao.
Demonstration of Low Spatial Frequency Restoration for a Phased Sparse Aperture Telescope Array Tomás Avilez Industrial Affiliates.
M. Shah Alam Khan Associate Professor Institute of Water and Flood Management, Bangladesh University of Engineering and Technology Hydro-ecological Investigation.
Interactions of EMR with the Earth’s Surface
Assessment on Phytoplankton Quantity in Coastal Area by Using Remote Sensing Data RI Songgun Marine Environment Monitoring and Forecasting Division State.
Farms, sensors and satellites. Using fertilisers Farming practice are changing Growing quality crops in good yields depends on many factors, including.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Using Synthetic Aperture Radar (SAR) to Map Natural Hazards and Disasters Guest Scientist: Jeffrey Weissel Originally presented 8 May 2004.
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
ENVIRONMENTAL INTELLIGENCE PLATFORM Company Specialized in : SEARCHES FOR INNOVATION SECURITY ENVIORMENT AND LOGISTICS ENERGY.
Using vegetation indices (NDVI) to study vegetation
Hyperspectral Sensing – Imaging Spectroscopy
GOES visible (or “sun-lit”) image
Remote Sensing What is Remote Sensing? Sample Images
Why LiDAR makes hyperspectral imagery more valuable for forest species mapping OLI 2018 Andrew Brenner, Scott Nowicki & Zack Raymer.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Green Revolution 2.0 Remote Sensing.
Environmental modeling application domains
REMOTE SENSING.
Unit 2 Unmanned Aircraft
Presentation transcript:

Collection of high resolution spectral detail over a large spatial and broad wavelength region from within each pixels instantaneous field of view A standard RGB image has three bands corresponding to red, green and blue. In contrast, a hyperspectral image records reflectance values at many different bands, typically > 200 bands. Many of these extra bands are in the ultraviolet and infrared ranges, outside the visible spectrum.

Military Hyperspectal imaging applications Civilian hyperspectral imager of the main application areas

Identification of camouflage: According to different spectral characteristics, the using hyperspectal imaging can find camouflaged target objects.

Weapons production survey Hyperspectral Imager can detect not only the spectral characteristics of the target but also can be used to analyze the material composition.By analyzing factory smoke, the material composition could be directly identified of the material which could help to determine the production of weapons Application of Naval Operations Analyzing imaging data like the transparency of the sea, the ocean depths, underwater hazards, currents, oil spills, seabed type, Oceanic and Atmospheric visibility, tides, bioluminescence, beach characteristics, the total amount of atmospheric water vapor could be very useful for naval operations.

Survey of land resources, including mineral exploration, forest grassland surveys, land-use categories, urban planning, land desertification and soil degradation,etc. Remote sensing in forestry, including forest resources, deforestation, reforestation and forest protection. Environmental monitoring, including assessment of the ecological environment and ecological change investigation. Marine applications, including marine resources survey, water quality changes in water color, chlorophyll and plankton content analysis, coastal zone and marine ecosystems change and marine pollution monitoring

Agricultural applications, including assessment of crop growth and yield, crop type of investigation and monitoring of pests and diseases. Monitoring of natural disasters, including floods, droughts, hail, forest fires and earthquakes, such as multi-hazard monitoring and disaster assessment. The universe, atmosphere, space environment and a wide range of fields such as astronomy applications.

GVS (Green Vision Systems) is bringing to the market the next level of tracking biochemical contamination sources, such as city air pollution, by providing a comprehensive product suite that replaces processes of days, weeks and even months with that of hours or less. The suite is based on the company's patented and field- proven HSI (Hyper-Spectral Imaging) technology. GVS has already initiated mega projects with customers and partners, including in Europe, in Singapore and in the USA.

GVS was founded in Today, after more than 10 years in HSI technology (over 200 engineering man years) and 11 international patents, GVS is an ISO-9001 approved company and its products have been approved under the UL (Underwriters Laboratories) and CE (Conformance European) standards.

The suite is composed of several modular systems, enabling GVS to provide a solution that is tailor-made to the needs of each organization. It includesproducts for real-time data collection in the field (HyperEye™-ID platforms),integrated network communication (INSIP- 20™ software) and analysis in a central location (FIPA®- 20/40 systems). Below is a more detailed presentation of three of the suite's main HSI-based products:

HyperEye™-ID (Immediate Detection) is an online station for air pollution monitoring, enabling 24/7 monitoring and tracking of air pollution in urban environments, including threats ranging from industrial/automotive contamination to Anthrax clouds due to terrorist activities. HyperEye™-ID

HyperEye™-RS (Remote Sensing) is a real-time remote sensing system, which should be placed on buildings or other high locations, for objects/surface spectral classification and tracking. HyperEye™- RS FIPA®-20/40 (Fluorescence Imaging Particle Analyzer) is semi-online system for laboratory P.M. (Particulate Matter1) investigation HSI microscopy. It captures, analyzes and generates information on the chemical, morphological and polymorphism (crystallization) characteristics of scanned particles (according to the C.M.B. standard). FIPA® -20/40

ICNG Holding B.V. Scandinaviëweg AV GroningenThe NetherlandsTel: E mail: Web: