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

66 results

Time (local)	Label
1987-07-13 09:03:21	ga_ls5t_ard_3-0-0_094067_1987-07-12_final
1987-10-06 09:24:52	ga_ls5t_ard_3-0-0_097069_1987-10-05_final
1987-10-12 08:53:53	ga_ls5t_ard_3-0-0_091084_1987-10-11_final
1988-01-02 08:40:57	ga_ls5t_ard_3-0-0_089079_1988-01-01_final
1988-01-12 10:58:41	ga_ls5t_ard_3-0-0_111083_1988-01-12_final
1989-02-18 09:47:16	ga_ls5t_ard_3-0-0_100072_1989-02-18_final
1989-06-07 10:54:16	ga_ls5t_ard_3-0-0_111074_1989-06-07_final
1989-06-30 09:25:52	ga_ls5t_ard_3-0-0_096086_1989-06-29_final
1990-06-17 09:18:20	ga_ls5t_ard_3-0-0_096086_1990-06-16_final
1990-10-13 10:17:11	ga_ls5t_ard_3-0-0_106080_1990-10-13_final
1990-10-21 09:26:53	ga_ls5t_ard_3-0-0_098078_1990-10-20_final
1991-01-28 10:00:23	ga_ls5t_ard_3-1-0_103082_1991-01-28_final
1991-03-27 09:01:12	ga_ls5t_ard_3-0-0_093086_1991-03-26_final
1991-04-24 10:57:41	ga_ls5t_ard_3-0-0_113067_1991-04-24_final
1991-05-18 10:11:51	ga_ls5t_ard_3-0-0_105075_1991-05-18_final
1991-05-28 10:51:07	ga_ls5t_ard_3-0-0_111080_1991-05-28_final
1991-07-15 09:10:29	ga_ls5t_ard_3-0-0_095074_1991-07-14_final
1991-09-03 08:55:48	ga_ls5t_ard_3-1-0_093067_1991-09-02_final
1992-01-19 09:39:46	ga_ls5t_ard_3-0-0_099083_1992-01-19_final
1992-02-05 10:19:49	ga_ls5t_ard_3-0-0_106075_1992-02-05_final
1992-08-04 10:36:28	ga_ls5t_ard_3-0-0_109074_1992-08-04_final
1992-10-27 10:10:47	ga_ls5t_ard_3-0-0_105075_1992-10-27_final
1993-10-13 09:31:33	ga_ls5t_ard_3-0-0_098083_1993-10-13_final
1994-03-16 10:06:37	ga_ls5t_ard_3-0-0_104082_1994-03-16_final
1994-04-15 10:13:38	ga_ls5t_ard_3-0-0_106070_1994-04-15_final
1994-07-01 09:44:01	ga_ls5t_ard_3-0-0_101077_1994-07-01_final
1994-10-31 08:43:11	ga_ls5t_ard_3-0-0_091088_1994-10-30_final
1994-11-21 10:34:41	ga_ls5t_ard_3-0-0_110075_1994-11-21_final
1995-07-10 10:35:08	ga_ls5t_ard_3-0-0_111084_1995-07-10_final
1995-12-05 08:23:57	ga_ls5t_ard_3-0-0_091077_1995-12-04_final
1996-01-18 08:50:16	ga_ls5t_ard_3-0-0_095073_1996-01-17_final
1996-03-22 08:55:23	ga_ls5t_ard_3-0-0_095075_1996-03-21_final
1996-06-14 08:41:12	ga_ls5t_ard_3-0-0_091089_1996-06-13_final
1996-06-26 10:43:04	ga_ls5t_ard_3-0-0_111083_1996-06-26_final
1996-08-09 09:28:49	ga_ls5t_ard_3-0-0_099077_1996-08-08_final
1996-11-14 10:16:19	ga_ls5t_ard_3-0-0_106075_1996-11-14_final
1997-01-21 09:55:37	ga_ls5t_ard_3-0-0_102077_1997-01-21_final
1997-05-18 08:41:22	ga_ls5t_ard_3-0-0_089081_1997-05-17_final
1997-10-12 10:53:03	ga_ls5t_ard_3-0-0_110074_1997-10-12_final
1998-10-17 10:49:09	ga_ls5t_ard_3-0-0_108081_1998-10-17_final
1999-04-28 09:52:14	ga_ls5t_ard_3-0-0_099078_1999-04-28_final
2003-11-02 08:55:31	ga_ls5t_ard_3-1-0_090077_2003-11-01_final
2004-03-19 11:11:22	ga_ls5t_ard_3-0-0_112074_2004-03-19_final
2004-04-11 11:15:13	ga_ls5t_ard_3-0-0_113067_2004-04-11_final
2004-06-20 10:46:08	ga_ls5t_ard_3-0-0_107082_2004-06-20_final
2004-07-13 09:15:42	ga_ls5t_ard_3-0-0_092086_2004-07-12_final
2004-08-31 09:59:20	ga_ls5t_ard_3-0-0_099084_2004-08-31_final
2004-11-05 11:24:34	ga_ls5t_ard_3-0-0_113077_2004-11-05_final
2005-03-03 10:48:58	ga_ls5t_ard_3-0-0_107076_2005-03-03_final
2005-03-22 11:19:17	ga_ls5t_ard_3-0-0_112074_2005-03-22_final
2005-03-28 10:43:02	ga_ls5t_ard_3-0-0_106076_2005-03-28_final
2005-07-17 10:00:53	ga_ls5t_ard_3-0-0_099077_2005-07-17_final
2005-08-09 10:07:17	ga_ls5t_ard_3-0-0_100077_2005-08-09_final
2005-11-13 10:07:38	ga_ls5t_ard_3-0-0_100077_2005-11-13_final
2006-03-04 11:08:36	ga_ls5t_ard_3-0-0_109084_2006-03-04_final
2006-06-10 10:54:16	ga_ls5t_ard_3-0-0_107075_2006-06-10_final
2007-01-10 10:17:56	ga_ls5t_ard_3-0-0_101071_2007-01-10_final
2007-01-29 10:48:32	ga_ls5t_ard_3-0-0_106070_2007-01-29_final
2007-02-12 09:24:02	ga_ls5t_ard_3-0-0_092075_2007-02-11_final
2007-05-13 09:57:30	ga_ls5t_ard_3-0-0_098067_2007-05-13_final
2007-06-13 10:55:51	ga_ls5t_ard_3-0-0_107075_2007-06-13_final
2007-09-26 10:46:59	ga_ls5t_ard_3-0-0_106071_2007-09-26_final
2009-03-21 10:54:13	ga_ls5t_ard_3-0-0_108074_2009-03-21_final
2009-06-26 09:59:14	ga_ls5t_ard_3-0-0_099071_2009-06-26_final
2010-09-04 10:35:52	ga_ls5t_ard_3-1-0_104081_2010-09-04_final
2011-08-10 10:05:47	ga_ls5t_ard_3-0-0_100071_2011-08-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years