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

68 results

Time (local)	Label
1987-09-17 09:00:44	ga_ls5t_ard_3-0-0_092087_1987-09-16_final
1988-01-18 08:42:50	ga_ls5t_ard_3-0-0_089083_1988-01-17_final
1988-03-05 09:37:10	ga_ls5t_ard_3-0-0_098078_1988-03-05_final
1988-04-12 10:39:38	ga_ls5t_ard_3-0-0_108079_1988-04-12_final
1988-06-14 09:53:39	ga_ls5t_ard_3-0-0_101071_1988-06-14_final
1988-07-13 09:28:28	ga_ls5t_ard_3-0-0_096085_1988-07-12_final
1988-10-04 09:55:44	ga_ls5t_ard_3-0-0_101076_1988-10-04_final
1989-03-24 09:33:27	ga_ls5t_ard_3-0-0_098071_1989-03-24_final
1989-08-12 10:44:30	ga_ls5t_ard_3-0-0_109084_1989-08-12_final
1990-06-13 09:41:28	ga_ls5t_ard_3-0-0_100082_1990-06-13_final
1990-12-07 10:20:37	ga_ls5t_ard_3-0-0_107074_1990-12-07_final
1990-12-20 09:48:00	ga_ls5t_ard_3-0-0_102069_1990-12-20_final
1991-06-25 09:36:34	ga_ls5t_ard_3-0-0_099078_1991-06-25_final
1992-04-16 08:50:50	ga_ls5t_ard_3-0-0_091085_1992-04-15_final
1992-06-11 09:34:09	ga_ls5t_ard_3-0-0_099071_1992-06-11_final
1992-09-19 09:12:50	ga_ls5t_ard_3-0-0_095083_1992-09-18_final
1992-10-30 08:59:34	ga_ls5t_ard_3-0-0_094067_1992-10-29_final
1993-01-21 09:32:02	ga_ls5t_ard_3-0-0_099070_1993-01-21_final
1993-06-27 10:39:34	ga_ls5t_ard_3-0-0_110067_1993-06-27_final
1993-10-28 08:49:23	ga_ls5t_ard_3-0-0_091086_1993-10-27_final
1993-11-04 10:30:00	ga_ls5t_ard_3-0-0_108075_1993-11-04_final
1993-12-24 08:41:12	ga_ls5t_ard_3-0-0_090082_1993-12-23_final
1994-02-19 10:09:59	ga_ls5t_ard_3-0-0_105074_1994-02-19_final
1994-10-16 09:22:35	ga_ls5t_ard_3-0-0_098077_1994-10-15_final
1994-11-05 10:36:02	ga_ls5t_ard_3-0-0_110077_1994-11-05_final
1995-04-18 08:30:44	ga_ls5t_ard_3-0-0_090088_1995-04-17_final
1995-04-27 09:57:27	ga_ls5t_ard_3-0-0_105074_1995-04-27_final
1996-03-15 08:51:33	ga_ls5t_ard_3-0-0_094082_1996-03-14_final
1996-04-18 10:17:49	ga_ls5t_ard_3-0-0_108076_1996-04-18_final
1996-06-08 10:48:04	ga_ls5t_ard_3-0-0_113067_1996-06-08_final
1997-03-04 10:31:41	ga_ls5t_ard_3-0-0_108070_1997-03-04_final
1997-07-05 10:19:31	ga_ls5t_ard_3-0-0_105075_1997-07-05_final
1998-09-26 10:26:14	ga_ls5t_ard_3-0-0_105070_1998-09-26_final
1998-10-28 10:27:52	ga_ls5t_ard_3-0-0_105074_1998-10-28_final
1999-04-08 10:12:56	ga_ls5t_ard_3-0-0_103068_1999-04-08_final
1999-05-14 09:49:38	ga_ls5t_ard_3-0-0_099072_1999-05-14_final
1999-07-17 09:50:27	ga_ls5t_ard_3-0-0_099076_1999-07-17_final
1999-09-08 10:04:59	ga_ls5t_ard_3-0-0_102068_1999-09-08_final
1999-09-29 10:23:06	ga_ls5t_ard_3-0-0_105068_1999-09-29_final
1999-11-30 08:58:29	ga_ls5t_ard_3-0-0_091076_1999-11-29_final
2003-08-14 08:58:49	ga_ls5t_ard_3-0-0_090088_2003-08-13_final
2003-09-21 09:57:17	ga_ls5t_ard_3-0-0_100078_2003-09-21_final
2003-10-11 11:07:19	ga_ls5t_ard_3-0-0_112067_2003-10-11_final
2003-10-17 10:35:30	ga_ls5t_ard_3-0-0_106080_2003-10-17_final
2003-10-29 11:00:44	ga_ls5t_ard_3-0-0_110081_2003-10-29_final
2003-12-31 10:16:59	ga_ls5t_ard_3-0-0_103078_2003-12-31_final
2004-01-11 10:00:28	ga_ls5t_ard_3-0-0_100083_2004-01-11_final
2004-02-17 10:14:47	ga_ls5t_ard_3-0-0_103072_2004-02-17_final
2004-04-01 09:04:53	ga_ls5t_ard_3-0-0_091082_2004-03-31_final
2004-07-07 09:49:02	ga_ls5t_ard_3-0-0_098077_2004-07-07_final
2005-01-07 09:08:18	ga_ls5t_ard_3-0-0_090089_2005-01-06_final
2005-03-05 09:01:21	ga_ls5t_ard_3-0-0_089085_2005-03-04_final
2005-07-02 09:05:07	ga_ls5t_ard_3-0-0_090077_2005-07-01_final
2005-07-08 10:09:21	ga_ls5t_ard_3-0-0_100083_2005-07-08_final
2005-08-22 09:34:52	ga_ls5t_ard_3-0-0_095073_2005-08-22_final
2006-04-15 11:43:17	ga_ls5t_ard_3-0-0_115076_2006-04-15_final
2006-06-16 10:15:40	ga_ls5t_ard_3-0-0_101071_2006-06-16_final
2006-07-19 11:00:37	ga_ls5t_ard_3-0-0_108074_2006-07-19_final
2006-11-07 10:22:14	ga_ls5t_ard_3-0-0_101083_2006-11-07_final
2007-02-10 09:35:36	ga_ls5t_ard_3-0-0_094073_2007-02-10_final
2007-06-27 11:09:08	ga_ls5t_ard_3-0-0_109078_2007-06-27_final
2007-08-06 10:18:09	ga_ls5t_ard_3-0-0_101075_2007-08-06_final
2009-07-31 10:29:31	ga_ls5t_ard_3-0-0_104068_2009-07-31_final
2009-08-13 09:59:12	ga_ls5t_ard_3-0-0_099069_2009-08-13_final
2009-08-23 10:39:14	ga_ls5t_ard_3-0-0_105076_2009-08-23_final
2010-03-19 10:39:10	ga_ls5t_ard_3-0-0_105072_2010-03-19_final
2011-03-04 09:18:01	ga_ls5t_ard_3-0-0_091088_2011-03-03_final
2011-05-22 10:06:27	ga_ls5t_ard_3-0-0_100071_2011-05-22_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