Get Data

DOWNLOADING DATA VIA HTTPS

To learn more about Earthdata Login and to register for an account, please see How to Register with Earthdata Login. Once you have logged in, data can be downloaded via a Web browser, command line, or client. For help with downloading data, please see Options Available for Bulk Downloading Data from HTTPS with Earthdata Login.

HTTPS

Data Set ID:
NSIDC-0333

SMEX03 QuikSCAT/SeaWinds Backscatter Data, Alabama, Version 1

This data set includes data collected over the Soil Moisture Experiment 2003 (SMEX03) areas of Alabama, Georgia, and Oklahoma, USA, and Brazil. The SeaWinds scatterometer on NASA's Quick Scatterometer (QuikSCAT) satellite collected backscatter data.

Geographic Coverage

Parameter(s):
  • Microwave
  • Radar > Radar Backscatter
Spatial Coverage:
  • N: 38, S: 28, E: -80, W: -90

Spatial Resolution: Not Specified
Temporal Coverage:
  • 1 May 2003 to 31 August 2003
Temporal Resolution: Not specified
Data Format(s):
  • GIF
  • SIR
Platform(s) QUIKSCAT
Sensor(s): SEAWINDS
Version: V1
Data Contributor(s): David Long
Data Citation

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Long, D. G. 2008. SMEX03 QuikSCAT/SeaWinds Backscatter Data, Alabama, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: http://dx.doi.org/10.5067/DROJ79M0DGES. [Date Accessed].

Back to Top

Collapse All / Open All

Detailed Data Description

This data set includes data collected over the Soil Moisture Experiment 2003 (SMEX03) areas of Alabama, Georgia, and Oklahoma, USA, and Brazil. The SeaWinds scatterometer on NASA's Quick Scatterometer (QuikSCAT) satellite collected backscatter data.

Format

Data are provided as daily SIR files and associated GIF images, 4-day average SIR files and associated GIF images, and animated time series quick look images.

Each SIR file consists of one 512-byte header containing all the information required to read the remainder of the file and the map projection information required to map pixels to latitude and longitude points on the Earth's surface. Pixel values are stored as 2-byte integers in big-endian format. Scale factors to convert the pixel values to native floating point units are stored in the file header.

The SIR file dimensions are 191 columns by 267 rows. SIR images are stored in row-scanned (left to right) order from the lower left corner up through the upper right corner. The origin of pixel 1,1 is the lower left corner of the image. The array index n of the i, j pixel where i is horizontal and j is vertical is given by using the following formula: n=(j-1)*Nx+i where Nx is the horizontal dimension of the image.

Image files are provided in GIF format for quick views. The grayscale for each GIF is -30 to 0 dB, black to white. Values less than -32 dB indicate no data. The text in the lower left of the image shows the year and day range of the data. The bright spots are urban areas.

Background color on
File and Directory Structure

The top directory level contains subdirectories for each SMEX03 study region and the readme file. For example:

Figure 1. Top Level SMEX03 QuikSCAT Directory Structure.
Figure 1. Top Level SMEX03 QuikSCAT Directory Structure.

The second level contains subdirectories for the 4-day average SIR and GIF image files, 4day_avg; the animated time series GIF files, animated_quicklooks; and the daily SIR and GIF files, daily, as shown in Figure 2.

Figure 2. Second Level SMEX03 QuikSCAT Directory Structure.
Figure 2. Second Level SMEX03 QuikSCAT Directory Structure.

Background color on
File Naming Convention

Animated GIF files

The animated GIF files are named according to the following convention:

Example File Name: queh.ALGA.gif

SENS.SREG.gif

Where:

Table 1. Animated GIF File Naming Conventions
Variable
Description
SENS Sensor and polarization name
SREG SMEX03 study region
gif Graphics Interchange Format file

Daily and 4-Day Average Files

The SIR and GIF files are named according to the following convention:

Example File Names: queh-a-NAm03-121-124.sir.ALGA.gif and queh-a-NAm03-121-124.sir.ALGA.gz

SENS-T-REGYR-DY1-DY2.RCN.SREG.FT

Where:

Table 2. SIR and GIF File Naming Conventions
Variable
Description
Values
SENS Sensor and polarization name.
queh = QuikSCAT egg inner beam, h-pol
quev = QuikSCAT egg outer beam, v-pol
qush = QuikSCAT slice inner beam, h-pol
qusv = QuikSCAT slice outer beam, v-pol
qaeh = QuikSCAT ascending pass, egg inner beam, h-pol (Brazil daily files only)
qaev = QuikSCAT ascending pass, egg outer beam, v-pol (Brazil daily files only)
qash = QuikSCAT ascending pass, slice inner beam, h-pol (Brazil daily files only)
qasv = QuikSCAT ascending pass, slice outer beam, v-pol (Brazil daily files only)
qdeh = QuikSCAT descending pass, egg inner beam, h-pol (Brazil daily files only)
qdev = QuikSCAT descending pass, egg outer beam, v-pol (Brazil daily files only)
qdsh = QuikSCAT descending pass, slice inner beam, h-pol (Brazil daily files only)
qdsv = QuikSCAT descending pass, slice outer beam, v-pol (Brazil daily files only)
T Image type code.
a = An image
REG Region ID code.
NAm = North America
SAm = South America
Ama = Amazon
YR-DY1-DY2 Date range where:
YR = year
DY1 = First day of data used to make image (day of year)
DY2 = Last day of data used in image (day of year). If the imaging time crosses the year boundary, DY2 < DY1
RCN Reconstruction technique.
sir = SIR or SIRF algorithm
SREG SMEX03 study region.
ALGA = Alabama / Georgia - extracted from the NAm region
OK = Oklahoma - extracted from the NAm region
BZ = Brazil - extracted from the SAm region
FT File type.
gz = gzipped file
gif = Graphics Interchange Format file
 
Background color on
File Size

1 KB to 3 MB

Background color on
Volume

Total volume is approximately 504 MB for all data. Volume by region is approximately:

Alabama / Georgia: 149 MB
Oklahoma: 161 MB
Brazil: 194 MB

Background color on
Spatial Coverage

Alabama / Georgia:
Southernmost Latitude: 28.0° N
Northernmost Latitude: 38.0° N
Westernmost Longitude: 90.0° W
Easternmost Longitude: 80.0° W

Oklahoma:
Southernmost Latitude: 30.0° N
Northernmost Latitude: 40.0° N
Westernmost Longitude: 103.0° W
Easternmost Longitude: 93.0° W

Brazil:
Southernmost Latitude: 17.0° S
Northernmost Latitude: 7.0° S
Westernmost Longitude: 50.0° W
Easternmost Longitude: 40.0° W 

Spatial Resolution

The resolution of egg measurements is approximately 35 km x 25 km with a pixel resolution of approximately 4.45 km.
The resolution of slice measurements is approximately 25 km x 6 km with a pixel resolution of approximately 2.225 km. 

Note: The effective pixel resolution is somewhat less than listed above.

Projection

Lambert Equal Area projection

The latitude and longitude values for the geolocation of a pixel correspond to the lower-left corner of the pixel.

Note: The box is not square in latitude and longitude. The latitude and longitude lines curve in the images

Background color on
Temporal Coverage

Alabama / Georgia: 1 May 2003 to 31 August 2003

Oklahoma: 1 May 2003 to 31 August 2003

Brazil: 1 November 2003 to 31 December 2003

Temporal Resolution

Temporal resolutions are daily and 4-day average time spans.

Background color on
Parameter or Variable

Radar Backscatter in units of dB.

Parameter Range

Backscatter values range from -30 to 0 dB. In the GIF images, this is represented by a grayscale from black to white. Values less than -32 dB indicate no data.

Sample Data Record

Figure 3. Backscatter Image of Alabama and Georgia
Figure 3. Backscatter Image of Alabama and Georgia. View of 4-Day Average SIR Image File queh-a-NAm03-121-124.sir.ALGA.

Figure 4. Backscatter Image of Alabama and Georgia.
Figure 4. Backscatter Image of Alabama and Georgia. View of 4-Day Average GIF Image File queh-a-NAm03-121-124.sir.ALGA.gif.

Background color on

Software and Tools

Software and Tools

Software for reading the BYU-MERS SIR file format can be downloaded from the NASA SCP Web site and FTP site and is available for C, Fortran, Matlab, and IDL/PV-Wave. Available utilities include a modified xv program to directly view SIR files, and programs to convert SIR files into .gif, .bmp, .tiff, and geotiff file formats.

GIF images can be accessed with most standard image viewers.

Background color on

Data Acquisition and Processing

Theory of Measurements

The NASA SCP datasets are based primarily on a time series of enhanced resolution images made from scatterometer backscatter (sigma0) measurements using the SIR and SIR with Filtering (SIRF) algorithms. For the highest possible spatial resolution, as well as to ensure full coverage over the images, multiple orbit passes are combined. Thus, there is a tradeoff between temporal and spatial resolution. For SeaWinds, sigma0 images are made at the nominal observation incidence angles (46 degrees h-pol and 54 degrees v-pol). From the time series of radar backscatter images and derived products, key climate-related parameters can be extracted for use in global climate change studies.

Background color on
Data Acquisition Methods

QuikSCAT collects vertically polarized backscatter measurements at approximately 54 degrees incidence and horizontally polarized measurements at approximately 46 degrees in two forms: eggs and slices. There are thus four types of data:

  • queh (egg-horizontal)
  • quev (egg-vertical)
  • qush (slice-horizontal)
  • qusv (slice-vertical).

The egg measurements tend to be less noisy due to more averaging. Ideally slices and eggs have the same mean, but in practice there is some variation due to incidence angle effects. For SMEX03, backscatter images for each type have been created.

The SIR algorithm combines multiple passes to produce enhanced spatial resolution. For the SMEX03 data, both the ascending north-bound orbit passes and descending south-bound orbit passes are combined. Due to orbital geometry and swath width, some individual days do not completely cover the study area especially over areas near the equator. The orbit has a 4-day repeat, so the 4-day images ensure full coverage of the study area and tend to reduce noise.

From the large standard continental images, small regions were extracted such that the latitude and longitude bounds of the SMEX03 study regions are contained within the study boxes.

Because of the geometric issues at the equator noted above, the ascending and descending passes for the Brazil study area are roughly 12 hours apart. Brazil daily images are available in daily combined images and as separate ascending and descending images:

  • qaeh (ascending-egg-horizontal)
  • qaev (ascending-egg-vertical)
  • qash (ascending-slice-horizontal)
  • qasv (ascending-slice-vertical)
  • qdeh (descending-egg-horizontal)
  • qdev (descending-egg-vertical)
  • qdsh (descending-slice-horizontal)
  • qdsv (descending-slice-vertical).

This reduces the spatial coverage of the single-pass images, but improves temporal resolution.

Background color on
Derivation Techniques and Algorithms

The BYU-MERS SIR image format was developed by the BYU-MERS research group to store images of the Earth along with the information required to easily geolocate the image pixels.

In general, SIR image data files are generated using the SIR resolution enhancement algorithm, or one of its variants for radiometer processing. The multivariate SIR algorithm is a non-linear resolution enhancement algorithm based on modified algebraic reconstruction and maximum entropy techniques (Long, Hardin, and Whiting 1993). The single variate SIR algorithm was developed originally for radiometers (Long and Daum 1997), but it was also used for SeaWinds (Early and Long 2001). The SIRF algorithm was successfully applied to study tropical vegetation and glacial ice (Long and Drinkwater 1999).

The multivariate form of the SIR algorithm models the dependence of sigma-0 on incidence angle as shown with the equation:

sigma-0 (in dB) = A + B *(Inc Ang - 40 degrees)

The relevant range of incidence angle is 15 to 60 degrees. The output of the multivariate SIR algorithm is images of the A and B coefficients. The single variable algorithms used for SeaWinds produce only an A image. A represents the incidence angle normalized sigma-0, effectively the sigma-0 value at 40 degrees incidence angle.

Single variable SIR and SIRF algorithms are used for SeaWinds egg data processing and slice data processing respectively.

Background color on
Sensor or Instrument Description

SeaWinds is a radar scatterometer on QuikSCAT. It uses a rotating dish antenna with two spot beams that sweep in a circular pattern. The antenna spins at a rate of 18 rpm, scanning two pencil-beam footprint paths at incidence angles of 46 degrees (h-pol) and 54 degrees (v-pol). The antenna radiates microwave pulses at a frequency of 13.4 GHz across broad regions on the Earth's surface with an 1800 km swath.

The SeaWinds antenna footprint is an ellipse approximately 25 km in azimuth by 37 km in the look (range) direction. There is considerable overlap of these footprints with approximately 8 to 20 of these ellipses with centers in a 25 x 25 km box on the surface. Signal processing provides commandable variable range resolution of approximately 2 to 10 km. The nominal resolution is approximately 6 km — an effective range gate of 0.5 msec. Refer to the JPL SeaWinds on QuikSCAT Web page for more information.

QuikSCAT is in a sun-synchronous, 803 km, circular orbit with a local equator crossing time at the ascending node of 6:00 a.m. +/- 30 minutes.

Background color on

References and Related Publications

Contacts and Acknowledgments

David G. Long
Brigham Young University
459 Clyde Building
Provo, UT 84602
USA

Acknowledgments: 

This work was supported by the NASA Aqua AMSR, Terrestrial Hydrology, Global Water Cycle Programs, Ocean Vector Winds, and Pathfinder programs. QuikSCAT data was obtained through the Jet Propulsion Laboratory (JPL) Physical Oceanography DAAC.

Document Information

DOCUMENT CREATION DATE

6 March 2008

DOCUMENT REVISION DATE

No technical references available for this data set.
No FAQs or How Tos available for this data set.

Access complete Knowledge Base

Questions? Please contact:
NSIDC User Services
Phone: 1 303 492-6199
Email: nsidc@nsidc.org