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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

53 results

Time (local)	Label
1987-05-28 10:31:41	ga_ls5t_ard_3-0-0_108074_1987-05-28_final
1987-10-12 10:31:34	ga_ls5t_ard_3-0-0_107081_1987-10-12_final
1987-12-30 09:48:05	ga_ls5t_ard_3-0-0_100077_1987-12-30_final
1988-07-17 10:38:15	ga_ls5t_ard_3-0-0_108074_1988-07-17_final
1988-09-03 10:38:20	ga_ls5t_ard_3-0-0_108074_1988-09-03_final
1988-11-07 11:22:37	ga_ls5t_ard_3-0-0_115077_1988-11-07_final
1989-07-09 10:53:11	ga_ls5t_ard_3-0-0_111073_1989-07-09_final
1990-02-22 10:23:51	ga_ls5t_ard_3-0-0_107077_1990-02-22_final
1990-04-12 09:28:19	ga_ls5t_ard_3-0-0_098080_1990-04-11_final
1991-01-24 10:22:38	ga_ls5t_ard_3-0-0_107076_1991-01-24_final
1992-02-19 10:31:41	ga_ls5t_ard_3-0-0_108074_1992-02-19_final
1993-03-03 09:29:49	ga_ls5t_ard_3-1-0_098079_1993-03-02_final
1993-10-04 09:33:00	ga_ls5t_ard_3-0-0_099071_1993-10-04_final
1994-07-27 08:46:17	ga_ls5t_ard_3-0-0_091089_1994-07-26_final
1995-06-27 09:25:21	ga_ls5t_ard_3-0-0_100078_1995-06-26_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1995-07-26 10:30:02	ga_ls5t_ard_3-0-0_111073_1995-07-26_final
1995-08-29 10:16:31	ga_ls5t_ard_3-0-0_109074_1995-08-29_final
1996-03-02 09:20:24	ga_ls5t_ard_3-0-0_099079_1996-03-01_final
1996-04-27 10:11:46	ga_ls5t_ard_3-0-0_107075_1996-04-27_final
1996-06-28 10:27:13	ga_ls5t_ard_3-0-0_109074_1996-06-28_final
1996-07-16 08:42:53	ga_ls5t_ard_3-0-0_091089_1996-07-15_final
1996-08-02 11:01:33	ga_ls5t_ard_3-0-0_114078_1996-08-02_final
1996-11-03 10:33:57	ga_ls5t_ard_3-0-0_109074_1996-11-03_final
1996-12-05 10:35:28	ga_ls5t_ard_3-0-0_109074_1996-12-05_final
1997-05-30 10:42:37	ga_ls5t_ard_3-0-0_109074_1997-05-30_final
1997-10-05 10:46:42	ga_ls5t_ard_3-0-0_109074_1997-10-05_final
1998-01-11 10:37:09	ga_ls5t_ard_3-0-0_107075_1998-01-11_final
1998-01-12 09:43:09	ga_ls5t_ard_3-0-0_098079_1998-01-12_final
1998-04-01 10:40:57	ga_ls5t_ard_3-0-0_107081_1998-04-01_final
1998-04-24 10:44:39	ga_ls5t_ard_3-0-0_108074_1998-04-24_final
1998-06-12 09:50:58	ga_ls5t_ard_3-0-0_099077_1998-06-12_final
1998-08-14 10:46:00	ga_ls5t_ard_3-0-0_108074_1998-08-14_final
1998-11-11 10:40:46	ga_ls5t_ard_3-0-0_107075_1998-11-11_final
1999-03-10 10:46:38	ga_ls5t_ard_3-0-0_108074_1999-03-10_final
1999-04-18 10:52:28	ga_ls5t_ard_3-0-0_109074_1999-04-18_final
1999-06-05 10:51:46	ga_ls5t_ard_3-0-0_109074_1999-06-05_final
1999-06-24 09:45:37	ga_ls5t_ard_3-0-0_098079_1999-06-24_final
1999-09-18 10:44:12	ga_ls5t_ard_3-0-0_108074_1999-09-18_final
1999-10-29 10:40:29	ga_ls5t_ard_3-0-0_107081_1999-10-29_final
2003-07-04 09:04:42	ga_ls5t_ard_3-0-0_091089_2003-07-03_final
2003-08-13 11:28:55	ga_ls5t_ard_3-0-0_115077_2003-08-13_final
2003-08-19 10:50:45	ga_ls5t_ard_3-0-0_109074_2003-08-19_final
2004-01-28 10:43:00	ga_ls5t_ard_3-0-0_107081_2004-01-28_final
2004-03-14 10:52:49	ga_ls5t_ard_3-0-0_109074_2004-03-14_final
2004-05-01 10:53:50	ga_ls5t_ard_3-0-0_109074_2004-05-01_final
2004-10-26 10:46:53	ga_ls5t_ard_3-0-0_107076_2004-10-26_final
2005-01-30 10:48:28	ga_ls5t_ard_3-0-0_107076_2005-01-30_final
2005-03-19 10:49:09	ga_ls5t_ard_3-0-0_107076_2005-03-19_final
2005-09-27 10:52:16	ga_ls5t_ard_3-0-0_107081_2005-09-27_final
2006-06-17 09:26:51	ga_ls5t_ard_3-0-0_092088_2006-06-16_final
2007-07-23 11:45:36	ga_ls5t_ard_3-0-0_115077_2007-07-23_final
2007-09-17 10:54:51	ga_ls5t_ard_3-0-0_107075_2007-09-17_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