HEAT BUDGET-10 YEAREntry ID: gov.noaa.ncdc.C00325
Abstract: The Heat Budget-10 Year dataset is a subset of the Seasonal Heat Budget dataset. There are four fields per day mapped into a Mercator array and three 9 track 6250 BPI CCT's contain 10 years of non-contiguous data. The 10-year period includes data from June 1974 through March 1978 (which uses the VHRR instrument from NOAA-3, 4 and 5), and January 1979 through February 1986 (uses the AVHRR instrument on TIROS-N series).
Purpose: To make a wide range of climatic data available to researchers and the public.
CURRENTNESS REFERENCE: Ground Condition
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Data Set Citation
Dataset Originator/Creator: National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Dataset Title: HEAT BUDGET-10 YEAR
Dataset Release Date: Unknown
Start Date: 1974-06-01Stop Date: 1986-02-01
ATMOSPHERE > ATMOSPHERIC RADIATION > ABSORPTION
ATMOSPHERE > ATMOSPHERIC RADIATION > HEAT FLUX
ATMOSPHERE > ATMOSPHERIC RADIATION > LONGWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > NET RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > OUTGOING LONGWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > RADIATIVE FLUX
ATMOSPHERE > ATMOSPHERIC RADIATION > REFLECTANCE
ATMOSPHERE > ATMOSPHERIC RADIATION > SHORTWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > TRANSMITTANCE
ATMOSPHERE > ATMOSPHERIC RADIATION
LAND SURFACE > SOILS > SOIL HEAT BUDGET
SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED FLUX
SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED RADIANCE
SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > REFLECTED INFRARED
SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > THERMAL INFRARED
SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS
SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE FLUX
SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE RADIANCE
SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS
ISO Topic Category
Quality The sequence of processing steps used were as follows:
- Fuse or merge the high-resolution panchromatic band with the lower resolution multispectral bands to create a high-resolution multispectral image based on an image transform.
- Panchromatic band has to overlap with multispectral bands in wavelengths.
- Wavelet-based pansharpening is more correct ... from a spectral perspective than ENVIs pansharpening algorithms, such as HSV, Brovey, Gram-Schmidt, PCA, and CN.
- Wavelet Fusion is an ENVI extension available from the ITTVIS codebank http://www.ittvis.com/UserCommunity/CodeLibrary.aspx
- The input images are transformed into wavelet space. Their wavelet coefficients are combined. Then an inverse wavelet transform is applied to the combined wavelet coefficients to create the fused image.
- Fusion strength: the ratios used to blend together the wavelet coefficients of each image at each decomposition level. The settings used:
- Image A: Multispectral image
- Image B: PAN image
- Map projection: Match Image B (PAN)
- Fusion strength: 50:50
- Additional options: defaults
- Output file name: include psdwt (pansharpened with discrete wavelet transform)
Orthorectification parameters in ENVI:
- Orthorectification was done without GCPs as the match between the DEM and the QuickBird image was very good. Co-registration was applied after orthorectification to fine-tune the image rectification and to match the QuickBird image to the 2004 IKONOS image (metadata ID: "SIC_266_267_georectification").
- RPC model based on the *.rpb file from the panchromatic band - RADARSAT 2002 DEM was first reprojected in ArcGIS, so that it is in a geographical coordinate system.
- The DEM resampling was set to Cubic convolution because it is upsampled to a higher resolution and cubic convolution results in a smoother interpolation.
- The Geoid offset was set to the default of 0.0 as no accurate geoid offset was found on the Geoscience Australia website.
- The projection was set to UTM, Zone 43 South with a WGS-84 Datum.
- The pixel size was set to 0.6 m in both X and Y directions.
Image to image GCPs were selected using a geographic link between the images to aid in feature identification.94 GCPs were identified spread out over the image. The RMS value for a 1st order polynomial was 17.31 pixels (10.4 m). However, as we applied a triangulation (rubber sheeting) transformation, this RMS value has no significant meaning. The QuickBird image was warped using the triangulation transformation method with nearest neighbour image resampling. Output: qb_15dec2006_ps_orc_tri2.bsq
Access Constraints A PDF document providing further details is available for download from the URL given below.
Access to the image itself is limited owing to copyright issues. Contact the Australian Antarctic Data Centre for details and further information.
Use Constraints This data set conforms to the PICCCBY Attribution License
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=SIC_462_... when using these data.
Data Set Progress
Distribution Media: HTTP
Distribution Size: 180 kb
Distribution Format: pdf
Role: TECHNICAL CONTACT
Phone: +61 3 6226 2140
Email: arko.lucieer at utas.edu.au
Censis Private Bag 76 University of Tasmania School Of Geography
Province or State: Tasmania
Postal Code: 7001
Role: TECHNICAL CONTACT
Role: DIF AUTHOR
Phone: +61 3 6232 3519
Fax: +61 3 6232 3351
Email: metadata at aad.gov.au
Australian Antarctic Division 203 Channel Highway
Province or State: Tasmania
Postal Code: 7050
Creation and Review Dates
DIF Creation Date: 2009-06-02
Last DIF Revision Date: 2012-07-13