Title: CSR MAGIC Satellite Remote Sensing Products
1CSR MAGIC Satellite Remote Sensing Products
- Real Time Answers to Real Time Questions
2Real Time Answers to Real Time Questions
- Why does CSR operate a ground station?
- Increased availability of data supports
innovations - Familiarity with the data improves understanding
- Constant stream of data supports evolution of
applications - Access to data not otherwise available e.g more
AVHRR - Some satellite data not available from other
sources, e.g. FY1-D and Oceansat - More timely access to data (i.e. We need it now!)
3Pass Summary for 2005/04/13
- 39 Satellite passes in view of antennas
- 5/4 Day/Night AVHRR Austin Views
- 1/1 Day/Night MVISR Austin Views
- 2/2 Day/Night MODIS Austin Views
- 1 Daytime OCM Austin View
4S/L Band Products
- AVHRR
- Day bands 0.63µm(1), .91µm(2) and inverse
11µm(4) - Night inverse of 3.7µm(3), 11µm(4) and 12µm(5)
- NDVI
- FY-1
- Day 0.63µm(1), 0.55µm(9) and 0.45µm(7)
- Night Same as AVHRR inverse 3.7µm(3), 11µm(4)
and 12µm(5)
5AVHRR DAY/NIGHT Samples
6MVISR DAY/NIGHT Samples
7X-Band Products
- MODIS
- Fire Mask Product
- NDVI Product
- 3-band Image TCEQ Subsets
- Modis Aerosol Product
- NAIP Subsets
- Ocean Color Products
- OCM
- NAIP Subsets
- Ocean Color Products
8MODIS Institutional Algorithms
- A Standard Foundation
- Initial experience with MODIS began with products
downloaded from NASA EDG - Allowed previously developed tools to be applied
- Allows DB data and EDG data to be interchanged
- Generated Base Products
- Geolocation File MOD03
- L1b MOD02
- Cloud Mask MOD35
- MOD04 Aerosol
- MOD14_RR Fire Mask
9MODIS Fire Mask
- Updated algorithm from Rapid Response Team
ver.4.3.2 - Tabulated Fire Detections
- Mapped Fire Locations
- Validation Concerns for Modelling
10Sample Firemask Image
11MODIS NDVI Product
- Generated from Surface Corrected Reflectances
- Coded NDVI and EVI equations into emathp
- Generate Masked and Unmasked products
- Building Weekly Composites
12NDVI EVI samples
13NDVI Daily vs. Weekly Comparison
143-Band Subsets
- True Color TCEQ Subsets
- Based on Creating Reprojected True Color MODIS
Images A Tutorial by Liam Gumley and Jacques
Descloitres - psuedo Surface Corrected Reflectance
- Reprojection using UTCSR legacy tools
- Band sharpening based on Red band
- 16-bit to 8-bit mapping using piecewise linear
LUTs - Overlays and Rendering with Terascan
- Thermal Scenes
- Selected bands nearest AVHRR bands
- Inverted histogram equalized enhancements
15L1B to Surface Corrected Comparison
16Unsharpened to Sharpened Comparison
17Piecewise Linear LUTs
18Equalized vs. Piecewise LUT
19TCEQ 250m Subsets
20250m Austin/San Antonio Subset
21250m Corpus Christi Subset
22MODIS Thermal
23MODIS Aerosol Product
- Modis Aerosol Products
- Image product
- Text tabular product for CAMS sites
- Issues with elevated values
24True Color and Aerosol Image
25Aerosol Image with CAMS Stations
26AOT Product Issues
27Future Interests
- L-Band products
- Adapt Surface Corrected Reflectance algorithm to
MVISR - Coriolis?
- X-Band products
- Improve fire inventory capability
- Reconstructed cloud free NDVI
- Departure-from-normal NDVI
- Elevated AOT product, other AOT enhancements
- Forecast AOT trajectories
-
28- NAIP Flight Weather
- and
- Hurricane Tracker
29NAIP Background
- NAIP National Agriculture Imaging Program
- UTCSR provides near-real-time (NRT) satellite
image data for supplementing the decision making
of data collection. - Full-resolution images are delivered to the
website within five minutes after acquired and
processed by TeraScan ingestion software.
30NAIP Details
- Using JPEG to compress the full-resolution
true-color image for faster transmission over the
Internet. - Each JPEG is associated with a World File for
defining the geolocation used in GIS software. - Uncalibrated MODIS and other image data are
delivered in five minutes after acquisition. - Update with the DAAC calibrated MODIS L1B image
when available for better image quality.
31HurricaneTracker Background
- Meteorological satellites monitor the movement of
hurricanes constantly but with coarse resolution.
(ex GOES 1km) - With NRT high resolution data, the emergency
management authority can localize the state of
hurricanes more precisely.
32HurricaneTracker Details
- Receive the predicted and historical trajectories
of the hurricane from National Hurricane Center
(NHC). - Determine the region of interest based on
prediction from NHC when telemetry is acquired. - Subset and ingest the telemetry, and generate
true-color image. - Deliver to the web interface to report current
status of the hurricane.
33Hurricane Ivan, 2004
34HurricaneTracker Results
- Using a subset of the whole telemetry centered at
the hurricane, the size of data and image has
been more manageable for rapid response. - The highest resolution of the image is 250m from
MODIS which has been a reliable source for
emergency management. - Always guarantee the hurricane center is captured.
35Ocean Color Products
36Facts about SeaDAS
- SeaDAS is a data analysis system from Goddards
Space Flight Center (GSFC). - With the experiences from SeaWiFS research,
GSFCs OceanColor team becomes a main source of
science support for MODIS ocean products,
especially Aqua. - SeaDAS can be user-friendly by exploiting IDL
GUI. - SeaDAS is a single package for multiple sensors
to process ocean color products.
37Using SeaDAS with TeraScan
- SeaDAS supports MODIS, SeaWiFS, CZCS, OCTS, MOS,
OSMI, and AVHRR. - TeraScan systems is flexible to use command line
interface for scripting. - UTCSR glues SeaDAS packages as an
alternative/comparison to the ocean products
generated from TeraScan. - SeaDAS has been successfully installed on Xserve
G5 cluster for testing its portability.
38MODIS Ocean Color Products
- 305 Level 2 products are available from SeaDAS.
- Operational ocean products
- Chlorophyll concentration-a using OC4 algorithm
- Diffuse attenuation coeff. At 490 nm (K_490)
- Aerosol optical depth at 865 nm (tau_865)
- Epsilon (eps_78)
- Aerosol angstrom coeff at 510 nm
- Normalized water-leaving radiances.
- Level 2 processing flags.
- SeaDAS 4.7 for MODIS processing has some banding
issue.
39Shape Mask
- Importing Shapefiles to TeraScan
40Challenge of Inland Water
- Algorithms are complicated and empirical.
- Need calibration on site.
- Require higher accuracy of image registration.
- Need detailed land/sea mask to remove unwanted
data.
41Shape Mask
- Shapefile ESRIs vector data format used in
ArcView. A common format used by GIS community. - Many accurate shapefiles around the world are
available. - Convert regular shape file to TeraScans coast
lines and land/sea mask. - Result in better geolocation if the quality of
the shapefile is accurate. - Improve the quality of navigation in TeraScan for
local area. - Suitable for local/small area mapping.
42Comparison
Aqua MODIS 2005-04-06 2005 UTM DCW - Pink Texas
Reservoirs - Orange
43DCW - Pink Texas Reservoirs - Orange
44END
45EXTRA Slides
46Data Repository
- Developed because of need
- No central DAAC for OCM or FY-1
- Improve data reliability
- Simple FTP based deployment
- Uses standard software tools
- Sets of client and server shell scripts developed
- Allow interactive or script based interactions
- 1-week Cache with deep archive support
- Ongoing Development
- Data merging to reduce our storage requirement
- Individual frame requests
- More user friendly interface
47Map of CAMS stations Tabular subset
48Map of CAMS stations
49AOT Product Issue Zoom Louisiana