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

65 results

Time (local)	Label
1987-12-04 09:14:11	ga_ls5t_ard_3-0-0_094086_1987-12-03_final
1988-04-11 09:54:46	ga_ls5t_ard_3-0-0_101075_1988-04-11_final
1988-06-26 10:19:38	ga_ls5t_ard_3-0-0_105074_1988-06-26_final
1988-12-20 11:06:11	ga_ls5t_ard_3-0-0_112083_1988-12-20_final
1989-02-02 09:48:32	ga_ls5t_ard_3-0-0_100075_1989-02-02_final
1989-05-03 08:49:52	ga_ls5t_ard_3-0-0_090086_1989-05-02_final
1989-09-24 10:20:07	ga_ls5t_ard_3-0-0_106072_1989-09-24_final
1989-11-04 08:38:23	ga_ls5t_ard_3-0-0_089083_1989-11-03_final
1990-07-30 10:33:46	ga_ls5t_ard_3-0-0_109074_1990-07-30_final
1990-10-29 10:12:15	ga_ls5t_ard_3-0-0_106068_1990-10-29_final
1990-11-19 10:33:10	ga_ls5t_ard_3-0-0_109074_1990-11-19_final
1992-07-19 10:40:16	ga_ls5t_ard_3-0-0_109083_1992-07-19_final
1992-12-30 08:33:32	ga_ls5t_ard_3-0-0_089079_1992-12-29_final
1993-09-06 09:09:10	ga_ls5t_ard_3-0-0_095073_1993-09-05_final
1993-12-27 09:08:53	ga_ls5t_ard_3-0-0_095074_1993-12-26_final
1993-12-27 10:50:33	ga_ls5t_ard_3-0-0_111081_1993-12-27_final
1994-03-21 08:43:48	ga_ls5t_ard_3-0-0_091076_1994-03-20_final
1994-07-29 10:07:09	ga_ls5t_ard_3-0-0_105075_1994-07-29_final
1994-08-13 09:24:19	ga_ls5t_ard_3-0-0_098077_1994-08-12_final
1994-12-03 09:19:22	ga_ls5t_ard_3-0-0_098073_1994-12-02_final
1995-04-17 09:20:00	ga_ls5t_ard_3-0-0_099072_1995-04-16_final
1995-11-28 09:56:14	ga_ls5t_ard_3-0-0_106077_1995-11-28_final
1996-04-24 09:38:18	ga_ls5t_ard_3-0-0_102069_1996-04-24_final
1996-08-02 09:24:40	ga_ls5t_ard_3-0-0_098083_1996-08-01_final
1996-08-29 10:42:51	ga_ls5t_ard_3-0-0_111074_1996-08-29_final
1996-11-23 10:07:45	ga_ls5t_ard_3-0-0_105068_1996-11-23_final
1996-12-10 10:58:14	ga_ls5t_ard_3-0-0_112084_1996-12-10_final
1997-03-31 10:18:58	ga_ls5t_ard_3-0-0_105082_1997-03-31_final
1997-08-12 09:42:31	ga_ls5t_ard_3-0-0_099072_1997-08-12_final
1998-02-12 10:37:26	ga_ls5t_ard_3-0-0_107074_1998-02-12_final
1998-05-21 10:27:18	ga_ls5t_ard_3-0-0_105076_1998-05-21_final
1998-07-01 10:23:17	ga_ls5t_ard_3-0-0_104080_1998-07-01_final
1998-09-17 08:59:52	ga_ls5t_ard_3-0-0_090086_1998-09-16_final
1998-10-06 09:25:38	ga_ls5t_ard_3-0-0_095073_1998-10-05_final
1998-10-07 10:12:05	ga_ls5t_ard_3-0-0_102081_1998-10-07_final
1998-11-25 10:52:21	ga_ls5t_ard_3-0-0_109073_1998-11-25_final
1998-12-21 11:31:50	ga_ls5t_ard_3-0-0_115079_1998-12-21_final
1999-01-03 09:17:19	ga_ls5t_ard_3-0-0_094067_1999-01-02_final
1999-10-21 09:46:04	ga_ls5t_ard_3-0-0_099068_1999-10-21_final
1999-10-31 10:23:16	ga_ls5t_ard_3-0-0_105069_1999-10-31_final
1999-12-24 11:26:41	ga_ls5t_ard_3-0-0_115076_1999-12-24_final
2003-07-13 10:32:45	ga_ls5t_ard_3-0-0_106077_2003-07-13_final
2003-08-26 10:57:04	ga_ls5t_ard_3-1-0_110074_2003-08-26_final
2003-09-23 09:44:57	ga_ls5t_ard_3-0-0_098078_2003-09-23_final
2003-11-16 10:47:50	ga_ls5t_ard_3-0-0_108079_2003-11-16_final
2004-02-19 10:03:14	ga_ls5t_ard_3-0-0_101074_2004-02-19_final
2004-09-02 09:47:26	ga_ls5t_ard_3-0-0_097085_2004-09-02_final
2004-10-06 09:28:42	ga_ls5t_ard_3-1-0_095067_2004-10-05_final
2004-11-20 10:42:41	ga_ls5t_ard_3-0-0_106080_2004-11-20_final
2005-03-12 10:39:43	ga_ls5t_ard_3-0-0_106068_2005-03-12_final
2005-03-26 10:57:22	ga_ls5t_ard_3-0-0_108081_2005-03-26_final
2005-08-02 09:59:04	ga_ls5t_ard_3-0-0_099072_2005-08-02_final
2006-01-21 10:25:47	ga_ls5t_ard_3-0-0_103072_2006-01-21_final
2006-06-21 10:38:41	ga_ls5t_ard_3-0-0_104082_2006-06-21_final
2006-07-05 09:10:23	ga_ls5t_ard_3-0-0_090077_2006-07-04_final
2007-07-27 11:19:15	ga_ls5t_ard_3-0-0_111073_2007-07-27_final
2008-01-22 10:12:41	ga_ls5t_ard_3-0-0_100083_2008-01-22_final
2008-08-18 10:46:02	ga_ls5t_ard_3-0-0_107071_2008-08-18_final
2008-09-03 09:09:06	ga_ls5t_ard_3-0-0_091077_2008-09-02_final
2008-10-23 10:36:01	ga_ls5t_ard_3-0-0_105082_2008-10-23_final
2008-11-24 10:33:22	ga_ls5t_ard_3-0-0_105076_2008-11-24_final
2009-01-27 08:58:41	ga_ls5t_ard_3-0-0_089082_2009-01-26_final
2009-09-11 11:09:12	ga_ls5t_ard_3-0-0_110073_2009-09-11_final
2011-01-13 11:06:51	ga_ls5t_ard_3-0-0_109082_2011-01-13_final
2011-04-13 10:02:53	ga_ls5t_ard_3-0-0_099077_2011-04-13_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