Title: HyperSpectral Imaging HSI Support for GOESR HESCW Risk Reduction Activities
1HyperSpectral Imaging (HSI) Support for GOES-R
HES-CW Risk Reduction Activities
- Paul Bissett
- pbissett_at_feriweb.org
2SAMSONSpectroscopic Aerial Mapping System with
On-board Navigation
- We have developed a low-cost, robust
HyperSpectral Imager, the Spectroscopic Aerial
Mapper with On-board Navigation (SAMSON). - SAMSON provides for a full HSI dataset 256 bands
in the VNIR (3.5 nm resolution) at 75 frames per
second, with a SNR, stability, dynamic range, and
calibration sufficient for dark target
spectroscopy.
3HSI/MSI installationon 3-axis stabilized mount
4SAMSON HSI/MSI installationon 3-axis stabilized
mount
5Virginia Shore Test FlightsPre Atmospheric
Correction Imagery
6SAMSON
DSS
7Product GenerationStep 1. Calibration and
Orthorectification
Putting the photons in the right place Putting
the pixel in the right place
8Product GenerationStep 2. - Illumination and
Atmosphere Correction
Range in which the GA was bounded Water Vapor
.5, 2.0 Ozone .30, .38 Tau 550 .05,
1.2 Wind Speed 2, 6, 10 Relative
Humidity 50, 70, 80, 90, 98 Aerosol Model
'urban', 'maritime', 'coastal',
'coastal-a', tropospheric' 75,000,000
possible solutions!
Chosen Model (after 59K runs) Water Vapor
1.895 Ozone 0.3792 Tau 550 0.050 Wind
Speed 2 Relative Humidity 50 Aerosol
Model urban
9HSI Atmospheric Correction
Pre-Atmospheric Correction
Post-Atmospheric Correction
10ATM Future Directions Issues to
Address-Atmospheric Correction
Northern Monterey Bay
11ATM Future Directions Issues to
Address-Atmospheric Correction
Northern Monterey Bay
12Atmospheric Correction from Multiple Views of
Same Sample
3
2
Multi-line Overlap
1
15 overlap
Multi-line Stack
13Product GenerationStep 3. Geospatial
Intelligence
14Product GenerationStep 3. Geospatial
Intelligence
FERI LUT 2002
NOAA 1992
- 16 m resolution
- Unknown pixels removed from both data sets.
15Evidence of Algal Overgrowth in the Florida Keys
Typical algal overgrowth on coral rubble in
Florida. Photo courtesy of U.S. Department of
the Interior, U.S. Geological Survey, Center for
Coastal Geology
Caulerpa brachypus is a nonnative
macroalgae that has invaded Florida's coral
reefs. Photo courtesy of Harbor Branch
Oceanographic Institution, Inc.
16 CSU CICORE HSI ProgramCenter for Integrated
Coastal Observatory for Research and Education
Monterey Peninsula October 2004
MSI (DSS) OrthoPhoto 0.5 m
HSI Kelp Density (10 intervals)
17Product Generation Kelp Coverage Comparison
2002
2004
18Product Generation Kelp Coverage Comparison -
Zoom3 - RGB
2002
2004
19Water Clarity/Quality Inherent Optical
PropertiesSan Francisco Bay 2004
20Water Clarity/Quality Inherent Optical
Properties San Francisco Bay 2004
MSI (0.5 m) HSI (3 m) HSI Absorption/ Scattering
Product (3 m)
21Harmful Algal Bloom (Red Tide)Monterey Bay,
October 2002
22Harmful Algal Bloom (Red Tide)Monterey Bay,
November 2004
PHILLS 2, ATM-corrected, CIR enhanced. J. Ryan,
A.Fischer, MBARI
23Humboldt Bay Eel Grass IdentificationChaeli
Judd, MS Thesis, Judd et al., 2006 (in prep)
LIDAR/HSI Fused Bathymetric Product
HSI determined eel grass distributions,
previously unknown.
24High Resolution MSI 0.5 m RGB - Morro Bay 2006
25High Resolution Digital Elevation Map1.5 m -
Morro Bay 2006
0.25 m contours
Elevation critical in both Sauer et al., and Judd
et al., studies.
26Fused RGB/Digital Elevation Map0.5/1.5 m - Morro
Bay 2006
Elevation and its rate of change are ecological
determinants in riparian communities.
27HSI SpectraPre-Flight Calibration
28HSI SpectraPre-Flight Calibration
Smooth Spectra (7 band boxcar)
29HSI Classification3.0 m HSI - Morro Bay 2006
Unsupervised classification 16 classes
30HSI Spectra 3.0 m HSI - Morro Bay 2006
Higher SNR than previous PHILLS, particularly in
NIR.
Much better spatial resolution But is it good
enough?
31Spatial Resolution StudiesMorro Bay 2006
High Res HSI 1 m
Low Res HSI 3 m
Higher Res MSI 0.5 m also
have 0.15 m
32Mission History/Data Availability
- Deployments
- 2000 West Florida Shelf
- 2001 WFS and New Jersey Coast
- 2002 San Diego, Mobile, AL, Monterey, CA, and
Looe Key, FL - 2003 Monterey, CA, Fort Lauderdale, FL, and
Sarasota, FL - 2004 Humboldt Bay, San Francisco, Monterey, Big
Sur, San Luis Bay, Santa Barbara Channel, LA
Harbor, San Diego, CA - 2006 Morro Bay, San Luis Bay, Santa Barbara,
San Diego, CA Pearl River, MS
33Nominal Risk Reduction Flight Plans
- Altitude 27,000 ft.
- 6 m cross-track GSD, 1.5 m along track GSD.
- 4 lines, 20 km long, combined 23 km x 23 km
scene. - 28 minute re-access time.
- Spectral resolution 3.5 nm from 380 1050 nm.
- 14 day flight window, 5 days of flight
operations, 6 hours per day. - Data rate 60 GB/hour SAMSON, 60 GB/hour DSS
- Bin by 14 spatial, bin by 3 spectral 10 m GSD,
10 nm spectral, 6.5X increase in SNR. - Each 10 nm, 10 m HSI scene 320 MB.
34Pre-Deployment Planning
- Google Earth flight line review needs to be
completed by first week in August. - See example
35Deployment Operations
36Deployment Data Products
- Mission flight logs are generated during
processing. - See example.
- We will add other data as it is sent to us.
- Issues to address
- Data product desires.
- Algorithms for data products and processing
schedule. - Requires estimate of spectral response function
for each algorithm, i.e. MODIS algorithms need to
apply MODIS spectral response function, SeaWiFS
algorithms need to apply SeaWiFS algorithms, etc.
37Post-Deployment Schedule
- HyDRO posting of PHASE I data products will occur
by end of October. - Possibly sooner depending on demand. We are
schedule for other flight operations in CA and FL
through mid-October. - Post-deployment calibration during November.
- PHASE II data products posted by end of December.
38Summary
- Need to have flight line planning completed by
1st week in August. - We can have multiple scenarios planned for
adaptive scheduling. We would prefer not to
generating flight lines on-the-fly. - In field data product generation is initially
delayed by 8 hours for transfer of flight data
and backup. - If faster products are desired, we need a have a
risk/reward discussion. - We can assemble other metadata or data products
for GE display and distribution.
39HyDRO
40What is HyDRO?
- A prototype web-based data distribution site for
remotely sensed data. - HyDRO is an acronym for HyperSpectral Data
Repository Online.
41Rationale for HyDRO
- HyperSpectral data can be define as a continuous
spectral coverage of data at less than 10nm
resolution (Chang et al.,2004) - FERI collects HyperSpectral data at the rate of
approximately 60 Gb/flight hour (raw and
non-geocorrected) - Facilitate effective distribution of the data
collected.
42Original Method of Distribution
- Tape and optical media.
- Drawbacks
- Time and expense involved in writing and sending
the media. - Increased turnaround time (5 to 7 days including
sending the media). - Version control issues.
- Time consuming and computationally intensive to
navigate through the datasets to extract areas of
interest.
43HyDRO
- Features
- Dynamic web pages to handle user product
requests, privileges and imagery access. - Image and band sub-selection through the web
pages. - Database used to store information pertaining to
users, job history and experiments. - IDL-based back-end program generates the
requested products. - Availability of data alerted to the user via
email notification. - Data download through a user-specific ftp
account. - Imitate Sensor. (still in alpha)
44Advantages of HyDRO
- Faster turnaround time. (Typically 6-24 hours)
- Ability to choose desired region of interest and
bands. - Ability to imitate response functions of other
sensors. - Access to the latest versions of the experiments.
- Ability to view job history.
- Easier administration.
45Using HyDRO The Registration Page
- Prior to accessing HyDRO, a user needs to
register. - Upon registration, the information is reviewed by
the HyDRO administrator and appropriate
permissions are allotted. - Note A demo_user account has been set up for
people wishing to have a demonstration of HyDRO
without registering. While a job can be submitted
with this account, it will not be processed.
46Using HyDRO The Login Page
- The credentials supplied during the login are
verified against the database. - After the verification process, the user is taken
to the experiments page.
47Using HyDRO The Experiments Page
- The experiments page is a personalized page
consisting of the list of the experiments the
user is allowed access to. - The dots on the United States map indicate the
locations for the corresponding experiments. - Clicking on the links under the Experiments
heading of the table takes the user the console
page pertaining to that experiment. - The links in the Flt Log column takes the user
to external pages detailing the specific
conditions surrounding the experiment.
48Using HyDRO The Console Page
- Data selection is made on this page based on the
mouse controlled interactive zoom window (for
ROI), wavelengths and spatial resolution. - The data selection is limited by the file size
allotted to the user.
49Using HyDRO The Bands Selection Page
- Bands can be selected picking predetermined band
templates or manually selecting bands of
interest.
50Using HyDRO The Console Page After Bands
Selection
- The arrow and the circles indicate the updates
that occur once bands are selected. - Note that the Submit Query button will be
disabled if the job size exceeds the maximum file
size allotted to the user.
51Using HyDRO Imitate Sensor Console Page
- The imitate sensor console page has the option
selecting wavelengths in addition to choosing the
sensor model.
52Using HyDRO The Sensor Model Page
- Users can choose the sensor model and
corresponding algorithm from the dropdown menus.
When the sensor model is chosen, the algorithms
pertaining only to the sensor model are loaded. - Currently the models have been implemented for
Landsat4, Landsat5, Landsat7 and SeaWiFS sensors. - The algorithms that have been implemented are
k490, oc2 and oc4 for the SeaWiFS sensor.
53Using HyDRO Imitate Sensor Console Page After
Selection (Sensor Model Only)
- The arrow and the circle indicate the updates
that occur once the sensor model and algorithm
are selected. - Note that the Submit Query button will be
disabled if the job size exceeds the maximum file
size allotted to the user.
54Using HyDRO Imitate Sensor Console Page After
Selection
- Note that the Number of Output Bands are
displayed according to the sensor algorithm
chosen. If no algorithm is chosen the number of
output bands will correspond to the sensor model
bands.
55Using HyDRO Imitate Sensor Console Page After
Selection (Sensor Model and Algorithm)
- The arrow and the circle indicate the updates
that occur once the sensor model and algorithm
are selected. - Note that the Submit Query button will be
disabled if the job size exceeds the maximum file
size allotted to the user.
56Using HyDRO The Terms and Conditions Page
57Using HyDRO For The demo_user Account Only
58Using HyDRO The Final Page
59Using HyDRO Automated Notification
60HSI Data Cube Distribution
61Global and Regional Navigation
62Search and Sort
63Metadata Review
64Data Selection
65Packaging and Review
66Summary
- HyDRO provides for web-based distribution of TB
data sets. - Allows for effective version control.
- Security control for project specific access.
- Minimizes server and archive hardware
requirements. - Browse facility allows user to select only
required data. - SQL data bases provides communication to users
based on job submission for easy resubmission. - Alpha imitate sensor/product page allows for
sensor comparison and user defined products
delivery. - Mirror site at OSU in 2008.