Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

51 results

Time (local)	Label
1988-02-09 09:40:39	ga_ls5t_ard_3-0-0_099072_1988-02-09_final
1988-04-19 10:43:51	ga_ls5t_ard_3-0-0_109074_1988-04-19_final
1989-03-07 10:29:23	ga_ls5t_ard_3-0-0_107070_1989-03-07_final
1989-04-10 08:42:27	ga_ls5t_ard_3-0-0_089082_1989-04-09_final
1989-09-28 09:59:23	ga_ls5t_ard_3-0-0_102082_1989-09-28_final
1989-11-09 10:30:50	ga_ls5t_ard_3-0-0_108071_1989-11-09_final
1990-06-11 09:50:14	ga_ls5t_ard_3-0-0_102073_1990-06-11_final
1990-06-13 09:37:04	ga_ls5t_ard_3-0-0_100071_1990-06-13_final
1990-07-24 09:30:23	ga_ls5t_ard_3-0-0_099070_1990-07-24_final
1990-08-22 10:42:14	ga_ls5t_ard_3-0-0_110080_1990-08-22_final
1991-09-21 10:24:55	ga_ls5t_ard_3-0-0_107073_1991-09-21_final
1991-09-23 10:13:21	ga_ls5t_ard_3-0-0_105075_1991-09-23_final
1992-02-11 09:41:04	ga_ls5t_ard_3-0-0_100071_1992-02-11_final
1992-06-08 09:08:05	ga_ls5t_ard_3-0-0_094083_1992-06-07_final
1992-07-15 09:26:34	ga_ls5t_ard_3-0-0_097084_1992-07-14_final
1992-11-29 10:56:09	ga_ls5t_ard_3-0-0_112081_1992-11-29_final
1992-12-27 09:40:19	ga_ls5t_ard_3-0-0_100076_1992-12-27_final
1995-04-06 09:43:00	ga_ls5t_ard_3-0-0_102082_1995-04-06_final
1995-04-15 09:34:51	ga_ls5t_ard_3-0-0_101078_1995-04-15_final
1995-06-03 10:14:41	ga_ls5t_ard_3-0-0_108075_1995-06-03_final
1995-11-24 10:18:50	ga_ls5t_ard_3-0-0_110072_1995-11-24_final
1995-12-13 09:14:24	ga_ls5t_ard_3-0-0_099078_1995-12-12_final
1996-03-25 09:29:40	ga_ls5t_ard_3-0-0_100083_1996-03-24_final
1996-09-08 09:40:25	ga_ls5t_ard_3-0-0_101071_1996-09-08_final
1997-02-09 10:24:57	ga_ls5t_ard_3-1-0_107071_1997-02-09_final
1998-05-09 10:04:25	ga_ls5t_ard_3-0-0_101081_1998-05-09_final
1998-05-13 09:36:34	ga_ls5t_ard_3-0-0_097073_1998-05-13_final
1998-07-30 09:52:16	ga_ls5t_ard_3-0-0_099079_1998-07-30_final
1999-06-24 09:45:13	ga_ls5t_ard_3-0-0_098078_1999-06-24_final
1999-06-24 09:45:37	ga_ls5t_ard_3-0-0_098079_1999-06-24_final
2003-10-22 09:10:02	ga_ls5t_ard_3-1-0_093067_2003-10-21_final
2004-05-09 10:05:50	ga_ls5t_ard_3-0-0_101077_2004-05-09_final
2004-07-06 09:09:20	ga_ls5t_ard_3-0-0_091086_2004-07-05_final
2004-07-06 10:42:14	ga_ls5t_ard_3-0-0_107071_2004-07-06_final
2004-12-21 09:56:30	ga_ls5t_ard_3-0-0_099071_2004-12-21_final
2005-06-01 11:27:53	ga_ls5t_ard_3-0-0_113079_2005-06-01_final
2005-09-18 09:17:11	ga_ls5t_ard_3-0-0_092075_2005-09-17_final
2006-03-15 09:13:23	ga_ls5t_ard_3-0-0_090089_2006-03-14_final
2006-05-22 10:20:40	ga_ls5t_ard_3-0-0_102069_2006-05-22_final
2006-06-12 10:39:08	ga_ls5t_ard_3-0-0_105068_2006-06-12_final
2006-08-09 11:19:02	ga_ls5t_ard_3-0-0_111073_2006-08-09_final
2006-10-14 11:09:03	ga_ls5t_ard_3-0-0_109077_2006-10-14_final
2007-07-05 10:18:25	ga_ls5t_ard_3-0-0_101075_2007-07-05_final
2007-09-02 10:02:56	ga_ls5t_ard_3-0-0_098084_2007-09-02_final
2008-03-07 09:37:23	ga_ls5t_ard_3-0-0_095074_2008-03-07_final
2008-08-25 09:14:44	ga_ls5t_ard_3-0-0_092075_2008-08-24_final
2008-10-21 09:07:10	ga_ls5t_ard_3-0-0_091076_2008-10-20_final
2010-05-05 10:00:08	ga_ls5t_ard_3-0-0_098083_2010-05-05_final
2010-09-24 10:10:14	ga_ls5t_ard_3-0-0_100079_2010-09-24_final
2010-11-24 09:38:12	ga_ls5t_ard_3-0-0_095077_2010-11-24_final
2011-01-31 09:17:13	ga_ls5t_ard_3-0-0_091086_2011-01-30_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years