100s of Bands

VNIR SWIR LWIR Broadband

Hyperspectral

Hyperspectral Imaging

Why hyperspectral ? Broadband imagers (RGBI cameras,

thermal sensors, multispectral sensors) tell

you if something is Red or Green, warmer

than background, or has certain intensity

coming from certain (broad) spectral band

Hyperspectral imagers tell you `what is the

material at this pixel´

(AisaDUAL)

Push-broom hyperspectral camera

Push-broom hyperspectral imaging

Single Pixel

Spectral Bands

Spatial

Pixels

Flight

Line

Wavelength

Inte

nsi

ty Pixel

Spectrum

Single Sensor Frame

Series of Sensor Frames

Forestry • Forest inventory: ability

to classify tree stands within a forest. Precise classification of species. Biomass, leaf index, carbon cycle related measurements

• Stress detection: disease, pest, drought

• Fire science: fuel estimations, risk analysis

Courtesy of

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Vegetation classification 1/2

Vegetation classification 2/2

•Vegetation classification: Invasive species mapping, vegetation community

condition and characterization, environmental baselines.

Forest chemistry University of Victoria, Canada

AisaDUAL

Example: Invasive species, Mountain pine beetle.

British Columbia, Canada

It may be the largest forest insect blight ever seen in North America. Climate change is said by some to have

contributed to the size and severity of the outbreak, and the outbreak itself may, with similar infestations, have

significant effects on the capability of northern forests to remove greenhouse gas (CO2) from the atmosphere.

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Emerald Ash Borer Detection

The emerald ash borer is now one of the most destructive non-native insects in the United States;

it and other wood-boring pests cause an estimated $3.5 billion in annual damages in the U.S.[

Citrus canker detection

Leaf infected with citrus

canker.

Aerial photo of

citrus grove from

3,000 feet.

Hyperspectral image processed to highlight

canker infestations in red.

Courtesy of

Citrus canker is a disease affecting citrus species that is caused by the

bacterium Xanthomonas axonopodis. Infection causes lesions on the leaves,

stems, and fruit of citrus trees, including lime, oranges, and grapefruit. While not

harmful to humans, canker significantly affects the vitality of citrus trees, causing

leaves and fruit to drop prematurely

Fungus disease in oil palm trees

Airborne HSI in VNIR provides sensitive and high resolution detection and mapping of a fungus disease in oil palm trees

>50 km2/h @0.5 m ground resolution @50 m/s (100 knots)

Sarawak Forest Department, Malaysia

Wetlands Management – Phragmities

Wetlands Management – Phragmities

Biomass mapping

• Goal: monitoring crop vigor and disease treatment results in

high-value crops.

Green areas show

the improved biomass of crops after applying fungicide toxicant.

Courtesy of

High

Low

Test Field Mapping

• Agricultural Applications

– Differentiation of various types of corn

– Extent of drought

– Mapping of economically important vegetation/illegal logging

– Detection of spectrally coded, genetically manipulated plants

– Socioeconomic assistance

Agricultural/Vegetation Mapping

Fire Fuel Modeling – Orange County, CA

• Invasive/Target Species

– Identify eucalyptus (in BLUE) in fire

district

– Analysis: Utilize

spectral signature or

(fingerprint) of species

Invasive/Target Species

•Asphalt roads were masked out to eliminate

confusion between Asphalt shingles.

• Spectrally able to identify every

house in the image and

determine its material

composition. Ground Verification

done and determined 100%

accuracy.

Roof Material ID

Fire Risk Assessment

Rooftop classification and fuels mapping can be done to identify

homes at greatest risk in the event of a wildfire

Contra Costa County, CA

Land Cover Classification Applied to Fire

Management by University of Zurich (1/2)

• Goal: Improved risk

assessment and

migitation of forest fires

• LIDAR system and AISA

Eagle were used to study

mediterranean

vegetation intermixed

with urban structures

• The joint classification of

AISA Eagle and LIDAR led

to significant

improvements in terms

of overall accuracy and

kappa

Inversion

Hyperspectral Reflectance

Derived Bathymetry

Near Port Hedland,

Western Australia

September 2010

Collaborators:

• WAMSI (WA Marine

Sciences Institute)

• ARA - Flinders U

• Curtin University

• In Situ Marine Optics

FLINDERS UNIVERSITY ADELAIDE ● AUSTRALIA

Depth (m)

0 5 10

Water quality mapping

Chlorophyll-a map Phycocyanin map Total solids content

University of Nevada, USA

Quality monitoring and

mapping in

- Water reservoirs

- Lakes, rivers

- Coastal areas

Hydrological Studies and Risk Assesment • The town of Szeged,

Hungary, has been several times flooded by the river Tisza. OGS utilized AISA Eagle hyperspectral sensor to carry out a research on the area.

• Top: Land cover map, valuable in the computation of a hydraulic model

• Normalized Difference Vegetation Index (NDVI) can be applied to estimation of water content in the terrain and assisting in the computation of risk maps

Courtesy of

Chlorophyll ConcentrationHood Canal, Washington

Chlorophyll-a μg/l

10

35+

Water TurbidityHood Canal, Washington

Relative Turbidity

Low

High

Water Quality - Agricultural Runoff

Geologic Applications

Geothermal Exploration: Subtle geothermal related

alterations of associated minerals such as Illites

Mineral Precipitates as Acid

Mine Drainage Indicators Courtesy of D. Coulter – Overhill Imaging Ltd.

SpecTIR 1m GSD (400nm – 2500nm)

Environmental catastrophes

Oil spill in the Gulf of Mexico 2010:

Hyperspectral data is frequently collected with

AisaDUAL by SpecTIR LLC, USA, in order to

- monitor changes to health in highly sensitive

coastal wetlands, and

- aid in future impact assessments.

‘Red mud’ flood in Hungary 2010:

Hyperspectral data is collected with AisaEAGLE

by EnviroSense , Hungary.

Eutrophication Mapping of Water Bodies

Direct Hydrocarbon Detection

Aerial photograph of an oil spill in Buzzards Bay,

MA. Red areas are an interpretet’s estimates of

oil extent in the water. Blue arrows added by the

author point to areas that are wet where it is

unclear whether water or oil is the wetting agent

(Photo source: Buzzards Bay, 2003)

AISA DUAL False Color Composite of some

POL tanks 1 week after Katrina. Location is

near New Orleans, LA. It is unclear from

literal interpretation whether the areas inside

the berms are covered in water or petroleum.

Petrole

um

Oil spill monitoring

• Rapid and accurate assessment of the damage helps to maximize the cleanup efforts.

• Environmentally sensitive areas can be targeted for protection and cleanup, and the long-term damage can be minimized.

• Time sequence images of the oil can guide efforts in real-time by providing relative concentrations and accurate locations.

Courtesy of

The smallest and lightest Hyperspectral LWIR

imager available

Several customers have described this as ”best

thermal spectral data they ever have seen”

AisaOWL (7.6-12.5µm)

AisaOWL- methane gas leak detection

Outdoor scan in Finland in daytime in February 2012

Ambient temperature ca -5 C

Methane flow rate 20 l/min.

Methane absorption around 7.7 um.

Outside and gas temperature about -15C

AisaOWL scan

Detection of camouflaged targets

Queries or Enquires ??

Please contact Mr. Venugopal Parasuraman

1342 A, Road No 67 , Jubilee Hills, Hyderabad 500033.

Phone : +91 - 40 - 6460 - 4343

Fax : +91 - 40 - 2355 – 2966

Mobile : +91 - 95021 - 65836

Email : Venugopal.Parasuraman@AmigoOptima.com

www.amigooptima.com