comparison of multispectral and hyperspectral signatures of coral reef substrate
DESCRIPTION
Comparison of Multispectral and Hyperspectral Signatures of Coral Reef Substrate- Andaman islandsTRANSCRIPT
Comparison of Multispectral and Hyperspectral Signatures
of
Coral Reef Substrate
Ankita Acharya (MG-0109)
Guide:-
Nandini Ray Chaudhury
Sci/ Engr-SD.
END/ABHG/EPSA.
SAC (ISRO)
Introduction
Coral Reefs
Marine ecosystem
Coral polyps + zooxanthallae
*Temperature 220C to 280C, not < 150C
*Depth 50 m (shallow); 100 m
*Salinity 32-40 ppt
*Found 300N and 300S latitude
Importance
Storage bank
Food
Medicine
Protect coast
Habitat/ nursery
Feed area
Fishing
Tourism
* source: Encyclopedia Britanica
Cont...
• Threats
• Sea water temperature
• Sea water transperancy
•Run off sediments
• Pollutants
• Population pressure
• Multispectral and Hyperspectral
•The term "multi" is derived from the Latin word for "many" and "hyper" is
the Greek word for "over", "above", or an "exaggerated amount". The
science of multispectral and hyperspectral remote sensing is based on
taking a portion of the electromagnetic spectrum and dividing it into
number of bands for the purpose of analytical computation.
Aim
Pixel level Comparison of Multispectral and Hyperspectral Signatures of Coral Reef
Substrates.
To generate a reef specific classification system to build a theoritical approach.
Generation of spectral signatures of selected coral reefs using multispectral data.
Generation of spectral signatures of selected coral reefs using hyperspectral data
To compare multispectral and hyperspectral signatures of coral reef substrates.
Objective
LISS-III sensor Hyperion Sensor
Data Used
Multispectral
RESOURCESAT-1 (IRS-P6)
LISS-III
Hyperspectral
Earth Observation – 1
Hyperion
LISS-III Hyperion
Platform Resourcesat EO1
Orbital altitude 817 km 705 km
Swath 141 km 7.5 km
Swath width 140 km 7.7 km
Spatial resolution 23.5 m 30 m
Repetivity 24 days Data aquisition as per
request
Revisit time 5 days Data aquisition as per
request
Spectral resolution
(no. of bands with
bandwidth)
520-590 nm
620-680 nm
770-860 nm
1550-1700 nm
10 nm
400-2500 nm
220
Radiometric resolution 7 bit 16 bit
Kind of sensor (Spatial
scanning technique)
Pushbroom Pushbroom
Comparison of Two Sensors
Methodology
Multispectral Hyperspectral
Preprocessing Preprocessing
• Data Downloading
• FCC Generation
• Radiance conversion
• Subsetting
• Enhancement
Data generation Data generation
• Data Downloading
• FCC Generation
• Radiance conversion
• Subsetting
• Enhancement
Comparison
• AOI
• ROI
• ACII
• AOI
• ROI
• ACII
1. Gulf of Kachchh
2. Malvan
3. Lakshadweep
4. Gulf of Mannar
5. Andaman
6. Nicobar
1
2
3
4
5
6
Rationale
Reef Regions Reef Type Geomorphological
Zone
Geomorphological
Sub Zone
Ecological
Zone
Total
Gulf of Kachchh 4 4 20 16 44
Malvan 1 3 2 1 7
Lakshadweep 3 6 15 2 26
Gulf of Mannar 3 5 12 5 25
Andaman 3 7 13 3 26
Nicobar 1 2 3 0 6
Comparison of Indian Coral Reef Regions: Inter and Intra Reef Classes
Interview island
Port Mount Bay
Malay island
Test sites
Malay island viewed from IRS P6 - LISS-III
Port Mount viewed from IRS P6 - LISS-III
North
South
Interview island viewed from IRS P6 - LISS-III
showing north and south study area
Level-1 Level-2 Level-3 Level-4
Biogeographic region Reef Type Geomorphological Zone
Geomorphological sub
zone
Indo-west Pacific Faunal
Province
Fringing
Reef
Reef Front
Reef Slope (Deeper)
Reef Slope
Reef Crest
Moat
Reef Flat
Bare Reef Flat
Sanded Reef Flat
Benthic Sub Zone
Depression Zone on the
Reef Flat
Sand Patch
Sand Vegetation
Beach
Dry Sand
Sand with overlaying
water column
Classification Scheme for Coral Reef Habitat
Results
Data Source: IRS-P6 LISS-III
Dated: 22 February 2004
Data Source: EO1 Hyperion
Dated: 2004
Port Mount Bay
Interview
North
Interview
south
Conclusion
Hyperspectral data enhances the potential of substrate level discrimination of coral
reef targets.
Higher in spectral Channel 2 (Green band: 520-590nm) and 3 (Red Band : 620-680
nm).
A secondary peak response of the substrates is observed for all pixel groups in
between 1000 to 2000 nm in the hyperspectral signatures which is not present for the
multi-spectral data.
Hyperspectral data thus helps to understand the substrate response in the infra-red
region of the spectrum which becomes difficult in the multi-spectral data because of
point data in two discrete spectral channels representing NIR and SWIR regions.
Sand in general gives the highest spectral response in the entire spectrum
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Websites referred
http://www.and.nic.in/
http://www.eotec.com/images/Mapping_Coral_Reefs_with_LISS_3_Data.pdf
www.cotf.edu/ete/modules/coralreef/CRcoralreefs.html
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www.reefrelief.org/
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www.eo1.usgs.com
http://envisat.esa.int/earth/www/object/index.cfm?fobjectid=3746
http://www.isro.org/satellites/irs-p6resourcesat-1.aspx
http://www.euromap.de/docs/doc_005.html
http://eo1.usgs.gov
http://www.pfc.forestry.ca/aft/eveosd/EVEOSD-eo1/hyp_e.html
Thank you …