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

First 100 results (query limit)

Time (local)	Label
1988-10-18 10:05:12	ga_ls5t_ard_3-0-0_103069_1988-10-18_final
1988-10-22 09:40:28	ga_ls5t_ard_3-0-0_099069_1988-10-22_final
1988-11-23 09:40:32	ga_ls5t_ard_3-0-0_099069_1988-11-23_final
1988-11-24 10:23:47	ga_ls5t_ard_3-0-0_106069_1988-11-24_final
1988-11-25 09:28:10	ga_ls5t_ard_3-0-0_097069_1988-11-24_final
1989-04-18 09:26:34	ga_ls5t_ard_3-1-0_097069_1989-04-17_final
1989-04-19 10:09:47	ga_ls5t_ard_3-0-0_104069_1989-04-19_final
1989-04-19 10:10:11	ga_ls5t_ard_3-0-0_104070_1989-04-19_final
1989-04-21 09:57:22	ga_ls5t_ard_3-0-0_102069_1989-04-21_final
1996-04-24 09:38:18	ga_ls5t_ard_3-0-0_102069_1996-04-24_final
1996-04-24 09:38:42	ga_ls5t_ard_3-0-0_102070_1996-04-24_final
1996-04-27 10:09:47	ga_ls5t_ard_3-0-0_107070_1996-04-27_final
1996-04-28 09:13:49	ga_ls5t_ard_3-0-0_098069_1996-04-27_final
1996-04-28 09:14:13	ga_ls5t_ard_3-0-0_098070_1996-04-27_final
1996-04-29 09:57:08	ga_ls5t_ard_3-0-0_105069_1996-04-29_final
1996-04-29 09:57:32	ga_ls5t_ard_3-0-0_105070_1996-04-29_final
1996-05-24 09:52:25	ga_ls5t_ard_3-0-0_104069_1996-05-24_final
1996-05-24 09:52:48	ga_ls5t_ard_3-0-0_104070_1996-05-24_final
1996-05-29 10:11:38	ga_ls5t_ard_3-0-0_107070_1996-05-29_final
1996-05-30 09:15:40	ga_ls5t_ard_3-0-0_098069_1996-05-29_final
1996-05-30 09:16:04	ga_ls5t_ard_3-0-0_098070_1996-05-29_final
1996-05-31 09:58:59	ga_ls5t_ard_3-0-0_105069_1996-05-31_final
1996-05-31 09:59:23	ga_ls5t_ard_3-0-0_105070_1996-05-31_final
1996-06-08 09:09:59	ga_ls5t_ard_3-0-0_097069_1996-06-07_final
1996-06-11 09:41:03	ga_ls5t_ard_3-0-0_102069_1996-06-11_final
1996-06-11 09:41:27	ga_ls5t_ard_3-0-0_102070_1996-06-11_final
1996-06-19 10:31:19	ga_ls5t_ard_3-0-0_110070_1996-06-19_final
1996-06-20 09:35:45	ga_ls5t_ard_3-1-0_101070_1996-06-20_final
1996-06-21 10:19:04	ga_ls5t_ard_3-0-0_108070_1996-06-21_final
1996-06-22 09:23:06	ga_ls5t_ard_3-0-0_099069_1996-06-21_final
1996-06-22 09:23:30	ga_ls5t_ard_3-0-0_099070_1996-06-21_final
1996-06-23 10:06:25	ga_ls5t_ard_3-0-0_106069_1996-06-23_final
1996-06-23 10:06:48	ga_ls5t_ard_3-0-0_106070_1996-06-23_final
1996-06-24 09:10:50	ga_ls5t_ard_3-1-0_097069_1996-06-23_final
1996-06-24 09:11:14	ga_ls5t_ard_3-0-0_097070_1996-06-23_final
1996-07-23 10:20:45	ga_ls5t_ard_3-0-0_108070_1996-07-23_final
1996-07-24 09:24:47	ga_ls5t_ard_3-0-0_099069_1996-07-23_final
1996-08-14 09:44:26	ga_ls5t_ard_3-0-0_102069_1996-08-14_final
1996-08-18 09:19:54	ga_ls5t_ard_3-0-0_098069_1996-08-17_final
1996-09-03 09:20:48	ga_ls5t_ard_3-0-0_098069_1996-09-02_final
1996-09-04 10:04:07	ga_ls5t_ard_3-0-0_105069_1996-09-04_final
1996-09-29 09:59:18	ga_ls5t_ard_3-0-0_104069_1996-09-29_final
1996-11-29 09:31:22	ga_ls5t_ard_3-0-0_099069_1996-11-29_final
1996-11-30 10:14:41	ga_ls5t_ard_3-0-0_106069_1996-11-30_final
1996-12-01 09:19:07	ga_ls5t_ard_3-1-0_097069_1996-11-30_final
1996-12-02 10:02:25	ga_ls5t_ard_3-0-0_104069_1996-12-02_final
1996-12-31 09:32:54	ga_ls5t_ard_3-0-0_099069_1996-12-31_final
1997-01-02 09:21:02	ga_ls5t_ard_3-0-0_097070_1997-01-01_final
1997-01-05 09:51:41	ga_ls5t_ard_3-0-0_102069_1997-01-05_final
1997-03-30 09:30:29	ga_ls5t_ard_3-0-0_098069_1997-03-30_final
1997-03-31 10:13:47	ga_ls5t_ard_3-0-0_105069_1997-03-31_final
1997-05-01 09:31:37	ga_ls5t_ard_3-0-0_098069_1997-05-01_final
1997-05-02 10:14:55	ga_ls5t_ard_3-0-0_105069_1997-05-02_final
1997-05-04 10:02:37	ga_ls5t_ard_3-0-0_103069_1997-05-04_final
1997-06-30 09:58:25	ga_ls5t_ard_3-0-0_102069_1997-06-30_final
2003-11-30 10:56:48	ga_ls5t_ard_3-0-0_110070_2003-11-30_final
2003-12-03 09:48:26	ga_ls5t_ard_3-0-0_099069_2003-12-03_final
2003-12-04 10:31:42	ga_ls5t_ard_3-0-0_106069_2003-12-04_final
2003-12-06 10:19:21	ga_ls5t_ard_3-0-0_104069_2003-12-06_final
2003-12-08 10:06:59	ga_ls5t_ard_3-0-0_102069_2003-12-08_final
2004-01-04 09:48:41	ga_ls5t_ard_3-0-0_099069_2004-01-04_final
2004-01-05 10:31:57	ga_ls5t_ard_3-0-0_106069_2004-01-05_final
2004-01-06 09:36:20	ga_ls5t_ard_3-0-0_097069_2004-01-06_final
2007-09-14 10:21:35	ga_ls5t_ard_3-0-0_102069_2007-09-14_final
2007-09-30 10:21:26	ga_ls5t_ard_3-0-0_102069_2007-09-30_final
2008-03-04 10:43:26	ga_ls5t_ard_3-0-0_106069_2008-03-04_final
2008-03-06 10:31:02	ga_ls5t_ard_3-0-0_104069_2008-03-06_final
2008-05-18 10:23:06	ga_ls5t_ard_3-0-0_103069_2008-05-18_final
2008-05-22 09:58:16	ga_ls5t_ard_3-0-0_099069_2008-05-22_final
2008-05-23 10:41:30	ga_ls5t_ard_3-0-0_106069_2008-05-23_final
2008-05-25 10:29:05	ga_ls5t_ard_3-0-0_104069_2008-05-25_final
2008-05-27 10:16:40	ga_ls5t_ard_3-0-0_102069_2008-05-27_final
2008-05-31 09:51:50	ga_ls5t_ard_3-0-0_098069_2008-05-31_final
2008-06-01 10:35:04	ga_ls5t_ard_3-0-0_105069_2008-06-01_final
2008-06-03 10:22:39	ga_ls5t_ard_3-0-0_103069_2008-06-03_final
2008-06-07 09:57:50	ga_ls5t_ard_3-0-0_099069_2008-06-07_final
2008-06-08 10:41:04	ga_ls5t_ard_3-0-0_106069_2008-06-08_final
2008-06-09 09:45:25	ga_ls5t_ard_3-1-0_097069_2008-06-09_final
2008-06-10 10:28:39	ga_ls5t_ard_3-0-0_104069_2008-06-10_final
2008-06-19 10:22:13	ga_ls5t_ard_3-0-0_103069_2008-06-19_final
2008-06-23 09:57:23	ga_ls5t_ard_3-0-0_099069_2008-06-23_final
2008-06-24 10:40:37	ga_ls5t_ard_3-0-0_106069_2008-06-24_final
2008-06-26 10:28:12	ga_ls5t_ard_3-0-0_104069_2008-06-26_final
2008-06-28 10:15:47	ga_ls5t_ard_3-0-0_102069_2008-06-28_final
2008-07-02 09:50:57	ga_ls5t_ard_3-0-0_098069_2008-07-02_final
2008-07-03 10:34:11	ga_ls5t_ard_3-0-0_105069_2008-07-03_final
2008-07-05 10:21:46	ga_ls5t_ard_3-0-0_103069_2008-07-05_final
2008-07-09 09:56:57	ga_ls5t_ard_3-0-0_099069_2008-07-09_final
2008-07-10 10:40:10	ga_ls5t_ard_3-0-0_106069_2008-07-10_final
2008-07-12 10:27:46	ga_ls5t_ard_3-0-0_104069_2008-07-12_final
2008-07-14 10:15:21	ga_ls5t_ard_3-0-0_102069_2008-07-14_final
2008-07-18 09:50:31	ga_ls5t_ard_3-0-0_098069_2008-07-18_final
2008-07-19 10:33:44	ga_ls5t_ard_3-0-0_105069_2008-07-19_final
2008-07-21 10:21:19	ga_ls5t_ard_3-0-0_103069_2008-07-21_final
2008-07-25 09:56:29	ga_ls5t_ard_3-0-0_099069_2008-07-25_final
2008-07-26 10:39:43	ga_ls5t_ard_3-0-0_106069_2008-07-26_final
2008-07-28 10:27:18	ga_ls5t_ard_3-0-0_104069_2008-07-28_final
2008-07-30 10:14:53	ga_ls5t_ard_3-0-0_102069_2008-07-30_final
2008-09-27 09:54:37	ga_ls5t_ard_3-0-0_099069_2008-09-27_final
2008-09-28 10:37:51	ga_ls5t_ard_3-0-0_106069_2008-09-28_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