Landsat Orthorectified ETM+ and TM
LANDSAT ORTHORECTIFIED PANSHARPENED ETM+ IMAGERY (LANDSAT_ORTHO_PAN_ETM+) PRODUCT README
Naming ConventionFile Conventions are compliant with ISO-9660 Level-1 standards (8.3 file naming convention) and also compliant with ISO-9660 standards with Joliet extensions (permits file names greater than 8.3 and permits the use of lowercase characters).
File DescriptionsThe granules on the LANDSAT_ORTHO_PAN_ETM+ compact disc contains README files, an Object Description Language metadata file, a Sample FGDC Compliant Landsat-7 ETM+ Metadata file, and Landsat image files. The number of image files per granule may vary.
- README.TXT: Self explanatory.
- README.PDF: Self explanatory.
- SAMPLE FGDC COMPLIANT LANDSAT-7 PANSHARPENED ETM+ METADATA: Self explanatory.
- METADATA: ODL: Self explanatory.
- IMAGE: 1 image using bands 7, 4, 2.
- BROWSE: Image of the scene ordered.
- File Naming Convention (Browse, Metadata, and Image Files):
- /pppprrrr_isyyyymmdd_zzx_nnnx
- EXAMPLE: /p158r75_7t20000702_z58_nn62
- pppp: Path Indicator (4 characters)
- p = path
- Example: p158
- rrrr: Row Indicator (4 character maximum, not zero filled)
- r = row
- Example: r75
- _: Delimiter (1 character)
- i: Instrument Indicator (1 character)
- Values:
- 7 = Landsat-7
- s: Sensor Type (1 character: where valid parameters are "t", "p" and "k")
- Values:
- t = 28.5 multi-spectral data (6 bands)
- p = 14.25 meter pan data (1 band)
- k = 57 meter thermal data (2 bands)
- yyyymmdd: Acquisition Date (8 characters)
- Values:
- y = Year
- m = Month
- d = Day
- Example: 20000702
- _: Delimiter (1 character)
- z: UTM Zone Indicator (1character)
- Values:
- z = indicator
- zx: UTM Zone Number (1-3 characters, not zero filled)
- Example: 58
- _: Delimiter (1 character)
- ps742: Constant Value: pansharpened using bands 7, 4, 2
- Sample file name in its entirety reads as follows:
- /p158r75_7t20000702_z58_nn62
Data were compiled through NASA's Commercial Remote Sensing Program; this program is a cooperative effort between NASA and the commercial and the commercial remote sensing community to provide users with access to quality-screened, high-resolution satellite images with global coverage over the Earth's land masses. The resulting Landsat Enhanced Thematic Mapper Plus (ETM+) data set contains orthorectified ETM+ sensor data from the Landsat-7 satellite. Only the ETM+ images most closely meeting a specific set of criteria, including acquisition date, cloud percentage, data quality parameters, and best available phenology, were considered for this collection. The Landsat ETM+ data were provided by the USGS and orthorectified through a NASA contract with Earth Satellite Corporation, Rockville, Maryland, and are part of NASA's Scientific Data Purchase program, developed in response to the President's Space Policy. The Landsat Orthorectified Pansharpened ETM+ data set possesses additional processing via pansharpening. This process, also known as resolution merging, fuses together the high-resolution panchromatic and lower-resolution multispectral imagery to create a high-resolution color image. Pansharpened data retain as much of the spectral information as is possible from the multiband raster image. The resulting high-resolution color image preserves the original color fidelity and allows for better visualization, interpretation, and clarity.
Approximately 8,500 Landsat ETM+ images were selected. These circa year 2000 scenes were acquired between 1999 and 2001, and have been orthorectified so as to tightly co-register with the earlier circa 1990 global Landsat TM coverage. NOTE: In both the circa 1990 and circa 2000 data sets, the temporal dates of individual scenes may vary between 1-3 years of the 1990/2000 baseline.) These images were either cloud-free or contained minimal cloud cover. In addition, only ETM+ images with a high quality ranking in regards to the possible presence of errors such as missing scans or saturated bands were selected. It was important to collect data during periods of peak greenness so NASA adopted an approach for image selection that was based upon a data set containing global 1-kilometer advanced very high-resolution radiometer Normalized Difference Vegetation Index data. It was sometimes difficult for NASA to obtain clear images during time frames of peak greenness, resulting in some image substitution from other times of the year.
Processing
Landsat ETM+ data are orthorectified using existing orthorectified TM data as horizontal control. Pixel cross-correlation is used to pass the control from the earlier orthorectified TM data to the Landsat ETM+. A patented Landsat large block triangulation procedure is used to perform a photogrammetric adjustment of each individual Landsat ETM+ scene; data are then placed into a UTM / WGS84 map projection. All bands are individually re-sampled, using a nearest neighbor algorithm. The result is a final image map product with a Root Mean Square Error (RMSE) of better than 50 meters in positional accuracy.
The Landsat ETM+ scenes were then pansharpened using a resolution merging process allowing the high-resolution panchromatic and lower-resolution multispectral imagery to fuse together to create a single high-resolution color image. This process allows the image to retain as the greatest value of the spectral information as possible from the multiband raster image. The resulting high-resolution color image preserves the original color fidelity and allows for better visualization, interpretation, and clarity.
No restrictions.
Kalluri, Satya, Grant, Denelle, Tucker, Compton, Policelli, Fritz, Dykstra, Jon, and Bearden, Phil, 2000, NASA creates global archive of ortho-rectified Landsat data: EOS, Transactions, American Geophysical Union, v. 81, no. 50, p. 609, 617-618.
Dykstra, Jon D., Jan/Feb 2001, The GeoCover-Ortho Program: Covering the Entire Earth's Landmass with 14,000 Landsat Images; GEO INFORMATICS, p. 26-29. Reference is available in PDF format.
Approximate File Sizes: FILE TYPE FILE SIZE: (kilobytes) Metadata File: ODL 6 Image File: 880,000 ReadMe File: text 9 ReadMe File: pdf 109 Sample FGDC Compliant Landsat-7 ETM+ Pansharpened Metadata: GROUP = METADATA_FILE PRODUCT_CREATION_TIME = 2002-06-23T05:32:08Z PRODUCT_FILE_SIZE = 861.6 STATION_ID = "EDC" GROUND_STATION = "EDC" GROUP = COLOR_ETM+_PANSHARPENED_ORTHO_PRODUCT_METADATA SPACECRAFT_ID = "Landsat7" SENSOR_ID = "ETM+" ACQUISITION_DATE = 2000-08-25 WRS_PATH = 110 WRS_ROW = 011 SCENE_CENTER_LAT = +69.9189433 SCENE_CENTER_LON = +153.7613467 SCENE_UL_CORNER_LAT = +70.7353245 SCENE_UL_CORNER_LON = +151.3250550 SCENE_UR_CORNER_LAT = +70.7121089 SCENE_UR_CORNER_LON = +156.3660343 SCENE_LL_CORNER_LAT = +69.0901982 SCENE_LL_CORNER_LON = +151.3506209 SCENE_LR_CORNER_LAT = +69.0716900 SCENE_LR_CORNER_LON = +156.0117110 SCENE_UL_CORNER_MAPX = 438330.000 SCENE_UL_CORNER_MAPY = 7848729.000 SCENE_UR_CORNER_MAPX = 624036.000 SCENE_UR_CORNER_MAPY = 7848729.000 SCENE_LL_CORNER_MAPX = 434311.500 SCENE_LL_CORNER_MAPY = 7665303.000 SCENE_LR_CORNER_MAPX = 620017.500 SCENE_LR_CORNER_MAPY = 7665303.000 FILE_NAME = "p110r011_7t20000825_z56_ps742.tif" GROUP = PROJECTION_PARAMETERS REFERENCE_DATUM = "WGS84" REFERENCE_ELLIPSOID = "WGS84" GRID_CELL_ORIGIN = "Center" UL_GRID_LINE_NUMBER = 1 UL_GRID_SAMPLE_NUMBER = 1 GRID_INCREMENT_UNIT = "Meters" GRID_CELL_SIZE_CPS = 14.250 FALSE_NORTHING = 0 ORIENTATION = "NUP" RESAMPLING_OPTION = "CC" MAP_PROJECTION = "UTM" END_GROUP = PROJECTION_PARAMETERS GROUP = UTM_PARAMETERS ZONE_NUMBER = +56 END_GROUP = UTM_PARAMETERS GROUP = ETM+ SPECTRAL_INPUTS GROUP = INPUT_MSI ETM+_ORTHO = “p110r011_7t20000825” RED_INPUT = “BAND7” GREEN_INPUT = “BAND4” BLUE INPUT = “BAND2” END_GROUP = INPUT_MSI GROUP = INPUT_PAN ETM+_PAN = “p110r011_7p20000825” PAN_INPUT = “BAND8” END_GROUP = INPUT_PAN END_GROUP = ETM+_SPECTRAL_INPUTS PANSHARPENING_TECHNIQUE = “LINEAR COMBINATION” DYNAMIC_RANGE_ADJUSTMENT = “NONE” SUN_AZIMUTH = 171.8285261 SUN_ELEVATION = 30.9211359 QA_PERCENT_MISSING_DATA = 93 CLOUD_COVER = 80 PRODUCT_SAMPLES_CPS = 19212 PRODUCT_LINES_CPS = 17902 OUTPUT_FORMAT = "GEOTIFF" END_GROUP = COLOR_ETM+_PANSHARPENED_ORTHO_PRODUCT_METADATA END_GROUP = METADATA_FILE END