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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
1987-10-05 08:49:10	ga_ls5t_ard_3-0-0_090088_1987-10-04_final
1988-03-11 10:41:01	ga_ls5t_ard_3-0-0_108083_1988-03-11_final
1989-03-26 09:23:55	ga_ls5t_ard_3-0-0_096078_1989-03-25_final
1989-03-31 09:43:41	ga_ls5t_ard_3-0-0_099081_1989-03-31_final
1989-05-19 08:49:31	ga_ls5t_ard_3-0-0_090086_1989-05-18_final
1990-02-16 09:20:38	ga_ls5t_ard_3-0-0_097073_1990-02-15_final
1991-02-24 09:40:43	ga_ls5t_ard_3-0-0_100078_1991-02-24_final
1991-04-04 09:49:08	ga_ls5t_ard_3-0-0_101082_1991-04-04_final
1991-07-28 08:40:58	ga_ls5t_ard_3-0-0_090077_1991-07-27_final
1991-09-04 09:41:05	ga_ls5t_ard_3-0-0_100072_1991-09-04_final
1992-08-06 08:46:00	ga_ls5t_ard_3-0-0_091076_1992-08-05_final
1992-10-16 10:27:51	ga_ls5t_ard_3-0-0_108071_1992-10-16_final
1992-12-27 09:38:43	ga_ls5t_ard_3-0-0_100072_1992-12-27_final
1993-08-19 10:58:02	ga_ls5t_ard_3-0-0_113067_1993-08-19_final
1993-12-02 10:57:44	ga_ls5t_ard_3-0-0_112083_1993-12-02_final
1994-04-16 09:17:37	ga_ls5t_ard_3-0-0_097069_1994-04-15_final
1994-07-24 09:48:45	ga_ls5t_ard_3-0-0_102075_1994-07-24_final
1994-11-01 09:22:25	ga_ls5t_ard_3-0-0_098078_1994-10-31_final
1995-08-21 09:26:15	ga_ls5t_ard_3-0-0_101071_1995-08-20_final
1996-06-07 10:05:09	ga_ls5t_ard_3-0-0_106068_1996-06-07_final
1996-08-27 09:17:01	ga_ls5t_ard_3-0-0_097076_1996-08-26_final
1996-10-19 09:38:47	ga_ls5t_ard_3-0-0_100077_1996-10-19_final
1996-11-20 09:39:54	ga_ls5t_ard_3-0-0_100076_1996-11-20_final
1997-01-04 10:49:15	ga_ls5t_ard_3-0-0_111074_1997-01-04_final
1997-01-10 08:37:33	ga_ls5t_ard_3-0-0_089084_1997-01-09_final
1997-02-04 08:31:42	ga_ls5t_ard_3-1-0_088082_1997-02-03_final
1997-06-20 10:59:03	ga_ls5t_ard_3-1-0_112067_1997-06-20_final
1998-12-15 10:25:57	ga_ls5t_ard_3-0-0_105069_1998-12-15_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-09-20 10:32:35	ga_ls5t_ard_3-0-0_106076_1999-09-20_final
1999-09-25 09:16:32	ga_ls5t_ard_3-0-0_093087_1999-09-24_final
2003-07-28 09:50:10	ga_ls5t_ard_3-0-0_099078_2003-07-28_final
2003-09-21 09:58:05	ga_ls5t_ard_3-0-0_100080_2003-09-21_final
2003-10-18 09:36:42	ga_ls5t_ard_3-0-0_097072_2003-10-18_final
2004-05-04 09:47:33	ga_ls5t_ard_3-0-0_098078_2004-05-04_final
2004-05-17 10:53:32	ga_ls5t_ard_3-0-0_109072_2004-05-17_final
2004-05-24 10:59:54	ga_ls5t_ard_3-0-0_110072_2004-05-24_final
2004-07-29 10:52:57	ga_ls5t_ard_3-0-0_108081_2004-07-29_final
2004-08-05 10:56:29	ga_ls5t_ard_3-0-0_109074_2004-08-05_final
2004-12-13 09:12:07	ga_ls5t_ard_3-0-0_091084_2004-12-12_final
2005-05-08 10:36:39	ga_ls5t_ard_3-0-0_105075_2005-05-08_final
2005-07-19 11:26:14	ga_ls5t_ard_3-0-0_113074_2005-07-19_final
2005-11-26 11:15:08	ga_ls5t_ard_3-0-0_111075_2005-11-26_final
2006-02-15 10:19:24	ga_ls5t_ard_3-0-0_102070_2006-02-15_final
2006-06-12 09:05:26	ga_ls5t_ard_3-0-0_089081_2006-06-11_final
2006-07-08 11:16:37	ga_ls5t_ard_3-0-0_111068_2006-07-08_final
2006-07-30 10:43:01	ga_ls5t_ard_3-0-0_105076_2006-07-30_final
2008-04-09 10:18:44	ga_ls5t_ard_3-0-0_102071_2008-04-09_final
2008-09-11 11:36:23	ga_ls5t_ard_3-0-0_115075_2008-09-11_final
2008-11-23 09:47:41	ga_ls5t_ard_3-0-0_098070_2008-11-23_final
2010-02-19 10:18:24	ga_ls5t_ard_3-0-0_101082_2010-02-19_final
2010-03-18 09:58:42	ga_ls5t_ard_3-0-0_098079_2010-03-18_final
2011-09-07 10:31:50	ga_ls5t_ard_3-0-0_104075_2011-09-07_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