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Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California Institute of Technology Accessing and using MISR products in climate and environmental research IGARSS, Cape Town July 2009
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Page 1: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Introduction to MISR Data Analysis and Tools

Linda HuntScience Systems & Applications Inc., NASA LaRC

Brian E. RheingansJet Propulsion Laboratory, California Institute of Technology

Accessing and using MISR products in climate and environmental research

IGARSS, Cape TownJuly 2009

Page 2: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Background

• Terra follows a pattern of orbital paths which repeats after 233 unique orbits

• A path begins at a particular longitude as the satellite crosses the ascending node

• MISR data are geolocated using the Space Oblique Mercator (SOM) projection to minimize shape distortion and scale errors along the MISR swath near the satellite ground track

• SOM defines a separate projection for each path

Page 3: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Terra Orbits, August 27, 2004er

175191 159 143 1272072236223854 7086111 95

Page 4: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.
Page 5: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Orbital Paths/Blocks

Page 6: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Blocks

Page 7: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Data File Organization

• MISR files are written in the HDF-EOS format based on HDF4 (Hierarchical Data Format http:// hdfgroup.org)

• HDF-EOS extends HDF by adding geolocation information

• MISR uses the HDF-EOS grid structure which geolocates based on map projection parameters and specification of the corner coordinates

• Extensive information is written into the file as metadata• File attributes• Grid attributes

Page 8: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR HDF-EOS “Stacked Block” File

MISR Stacked Block Grid (180 Blocks)

-Data stored as a three-dimensional array: sample by line by block-SOM coordinates of top-block corners are Grid metadata.-Projection and orbital parameters are Grid Metadata-Horizontal (sample) offset of each block from the one above is part of Stacked-block grid extension metadata.

Blockdimension

Sample dim / SOM Y

Line dim / SOM XLevel 1B2

And Level 2Products

Standard Product Files are “Stacked-Block”

Page 9: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR “Conventional” Format File

•2

• 2-dimensional array

• HDF-EOS grid format

• SOM map projection

• Same spatial resolution, grid names, metadata

• Identical data values, no resampling, except data at 35.2 at 70.4 km resolution

• Available via MISR Order Tool

Page 10: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Where does this pixel belong with the MISR HDF-EOS “Stacked Block” Scheme?

• Inside the HDF-EOS “stacked block grid” = (block, line, sample)

• Convert (block, line, sample) <-> SOM (x,y)

– Requires several metadata values and some arithmetic.

• Convert SOM (x,y) <-> Lat/Lon

– Requires use of GCTP map projection coordinate conversion library in HDF-EOS distribution.

• Units: Integral block, fractional line/sample; meters x/y; decimal degrees Lat/Lon.

• This process is described in the MISR Data Product Specification, Appendix A and also routines are provided in the MISR Toolkit.

• Or simply look up the Lat/Lon of the corresponding block, line, sample in the Ancillary Geographic Product (AGP) datasets (1.1km).

Page 11: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Data Products Specifications

http://eosweb.larc.nasa.gov/PRODOCS/misr/table_misr.html

Page 12: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISRViewFor the “Stacked Block” Products

• Maps path/orbit to time and date• Assembles MISR blocks• Reports Lat/Lon using the AGP• Displays true color MISR imagery• Can reproject MISR imagery• Requires IDL or IDL VM

• Perspective tool• Band slider tool• Scroll tool• Vector overlay tool• Reprojection tool• Color / Contrast tools

Page 13: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISRView – Main Menu

Page 14: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISRView – L1B2 imagery

Page 15: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISRView – MISR Vision (R-Ba, G-An, B-Bf)

Page 16: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

It includes high-level options to create:

• Map views of MISR orbit locations

• Scrollable, single-camera, RGB images of MISR level 1B2 (L1B2) radiance data

• Animations of the nine MISR camera images that provide a 3D perspective of the scenes that MISR has acquired

Some of the specialized options in MINX enable the user to:

• Display plots of top-of-atmosphere BRF vs. camera-angle for pixels you click on

• Save images and animations to disk in various formats

• Apply a geometric registration correction to camera images

• Difference the images of two MISR orbits that share a path (identical ground track)

• Construct pseudo-color images by assigning different combinations of MISR cameras to the RGB display channels

• Interactively digitize smoke, volcanic or dust plumes and automatically retrieve heights and winds, albedo, aerosol properties and fire power and brightness temperatures associated with those plumes

A interactive application that functions both as a general-purpose tool to visualize MISR data and as a specialized tool to analyze properties of smoke, volcanic and dust plumes

http://www.openchannelfoundation.org/projects/MINX/

Page 17: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

MISRVision

Camera Ratios

Program Options

Animation Window

Orbit Plot

Page 18: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)Digitized Plume Points

Aerosol Histogram

Albedo Profile

Wind Height Histogram

Wind & Height Profiles

Plume Height Contour

Page 19: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 20: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 21: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 22: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 23: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 24: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 25: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 26: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 27: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR INteractive eXplorer (MINX)

Page 28: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Level 3 Overview Web Page

• Can view jpegs of all

available Level 3 data.

• Can view by product and

by month or season.

• Can view animation

through a year’s worth of

data.

• Can directly download

Level 3 HDF files.

• http://eosweb.larc.nasa.gov/PRODOCS/misr/level3/overview.html

Page 29: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Level 3 Data File Format

• Level 3 data files

• In standard HDF-EOS grid format using a geographic (lat/lon)

projection

• Also produced in netCDF format

• To simply view data images, use Level 3 web page

• Level 3 HDF-EOS data files can be downloaded directly from the

overview web page.

Page 30: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Introduction to the MISR Toolkit API

• The MISR Toolkit API provides simplified MISR data access and geolocation functionality

• Reads MISR L1B2, L2 in Stacked Block and Conventional format

• Extracts MISR “stacked block HDF-EOS grid” to a geolocated SOM projected plane with blocks assembled into a 2-D array and fields unpacked and unscaled

• Enables selection of a subset or region defined either by path/block or lat/lon

• Available as a callable set of routines for C, IDL, and Python programming languages

Page 31: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Toolkit API Concept (cont.)

In addition to L1B2, and L2 MISR data access the MISR toolkit has the ability to:

• Perform coordinate conversions: lat/lon <-> SOM x/y <-> block/line/sample

• Query a MISR product file to retrieve such information as block range, file version, file type, grid list, field list, dimension list, and other metadata

• Construct MISR filenames and search a directory tree for the file

• Convert between path, orbit and time range

• Determine which paths/orbits cross a particular geographic location or region within a given time range

Page 32: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

MISR Toolkit Platform and LanguageAvailability

Platforms and Languages Available (version 1.2)

• C library on Linux, Mac OS X and Windows XP

• IDL on all platforms via dynamically loadable library

• Python bindings for Linux and Mac OS X

• Command line utilities on Linux and Mac OS X (Useful for scripting or function usage examples)

Page 33: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Mtk Example(IDL API)

Page 34: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

http://eosweb.larc.nasa.gov/PRODOCS/misr/tools/misr_tools.html

Other Tools to access MISR data

Page 35: Introduction to MISR Data Analysis and Tools Linda Hunt Science Systems & Applications Inc., NASA LaRC Brian E. Rheingans Jet Propulsion Laboratory, California.

Additional Links• HDF4 information, library routines, HDFView tool

http://hdfgroup.org

• HDF-EOS information, library routines, HDF-EOS Plug-in for HDFView, and other HDF-EOS tools

http://hdfeos.net/

• Open Channel Foundation for misr_view, MINX, MISR Toolkit https://www.openchannelsoftware.com/ Search for “MISR” in the Quick Applications Search field

• ITT Visual Information Solutions (IDL and IDL Virtual Machine) http://ittvis.com

• Atmospheric Science Data Center MISR main page http://eosweb.larc.nasa.gov/PRODOCS/misr/table_misr.html

ASDC User Services [email protected]


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