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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

67 results

Time (local)	Label
1987-12-08 08:50:43	ga_ls5t_ard_3-0-0_090089_1987-12-07_final
1988-01-12 10:58:17	ga_ls5t_ard_3-0-0_111082_1988-01-12_final
1988-02-08 10:36:39	ga_ls5t_ard_3-0-0_108073_1988-02-08_final
1988-02-23 09:57:12	ga_ls5t_ard_3-0-0_101082_1988-02-23_final
1988-04-09 10:09:31	ga_ls5t_ard_3-0-0_103081_1988-04-09_final
1988-05-09 08:42:26	ga_ls5t_ard_3-0-0_089079_1988-05-08_final
1988-05-16 10:24:23	ga_ls5t_ard_3-0-0_106071_1988-05-16_final
1988-06-26 10:19:38	ga_ls5t_ard_3-0-0_105074_1988-06-26_final
1988-08-14 09:23:42	ga_ls5t_ard_3-0-0_096073_1988-08-13_final
1988-08-31 10:10:14	ga_ls5t_ard_3-0-0_103081_1988-08-31_final
1988-10-26 10:56:14	ga_ls5t_ard_3-0-0_111073_1988-10-26_final
1988-11-01 10:22:48	ga_ls5t_ard_3-0-0_105082_1988-11-01_final
1988-12-18 09:40:05	ga_ls5t_ard_3-0-0_098084_1988-12-18_final
1989-02-24 10:48:58	ga_ls5t_ard_3-0-0_110072_1989-02-24_final
1989-03-06 09:46:57	ga_ls5t_ard_3-0-0_100072_1989-03-06_final
1991-02-10 09:24:25	ga_ls5t_ard_3-0-0_098069_1991-02-09_final
1991-04-03 10:41:34	ga_ls5t_ard_3-0-0_110074_1991-04-03_final
1991-04-26 10:47:44	ga_ls5t_ard_3-0-0_111073_1991-04-26_final
1991-06-04 10:59:01	ga_ls5t_ard_3-0-0_112084_1991-06-04_final
1992-03-30 09:40:59	ga_ls5t_ard_3-0-0_100071_1992-03-30_final
1992-06-06 09:19:16	ga_ls5t_ard_3-0-0_096080_1992-06-05_final
1992-11-22 09:07:47	ga_ls5t_ard_3-0-0_095073_1992-11-21_final
1993-03-18 10:23:56	ga_ls5t_ard_3-0-0_107075_1993-03-18_final
1994-06-20 08:25:57	ga_ls5t_ard_3-0-0_088082_1994-06-19_final
1994-10-23 09:29:19	ga_ls5t_ard_3-0-0_099079_1994-10-22_final
1995-01-15 10:38:41	ga_ls5t_ard_3-0-0_111074_1995-01-15_final
1995-02-11 10:23:03	ga_ls5t_ard_3-0-0_108084_1995-02-11_final
1995-03-26 08:23:30	ga_ls5t_ard_3-0-0_089083_1995-03-25_final
1995-07-05 10:13:14	ga_ls5t_ard_3-0-0_108075_1995-07-05_final
1995-08-31 10:03:16	ga_ls5t_ard_3-0-0_107072_1995-08-31_final
1995-12-17 10:26:28	ga_ls5t_ard_3-0-0_111072_1995-12-17_final
1996-03-10 08:30:17	ga_ls5t_ard_3-0-0_091076_1996-03-09_final
1996-08-04 09:06:01	ga_ls5t_ard_3-0-0_096067_1996-08-03_final
1998-02-05 10:28:43	ga_ls5t_ard_3-0-0_106068_1998-02-05_final
1998-04-13 09:21:22	ga_ls5t_ard_3-0-0_095067_1998-04-12_final
1999-01-21 09:12:04	ga_ls5t_ard_3-0-0_092085_1999-01-20_final
1999-02-11 09:29:36	ga_ls5t_ard_3-0-0_095082_1999-02-10_final
1999-04-18 10:53:16	ga_ls5t_ard_3-0-0_109076_1999-04-18_final
1999-07-17 09:51:39	ga_ls5t_ard_3-0-0_099079_1999-07-17_final
2003-08-21 09:03:32	ga_ls5t_ard_3-0-0_091084_2003-08-20_final
2003-09-02 09:27:40	ga_ls5t_ard_3-0-0_095082_2003-09-01_final
2003-11-21 11:04:30	ga_ls5t_ard_3-0-0_111074_2003-11-21_final
2004-01-20 09:52:19	ga_ls5t_ard_3-0-0_099078_2004-01-20_final
2004-02-29 10:41:58	ga_ls5t_ard_3-0-0_107078_2004-02-29_final
2004-04-24 10:47:29	ga_ls5t_ard_3-0-0_108074_2004-04-24_final
2004-07-29 10:50:10	ga_ls5t_ard_3-0-0_108074_2004-07-29_final
2004-09-08 09:11:19	ga_ls5t_ard_3-0-0_091087_2004-09-07_final
2005-02-05 10:11:04	ga_ls5t_ard_3-0-0_101075_2005-02-05_final
2005-08-03 10:43:31	ga_ls5t_ard_3-0-0_106075_2005-08-03_final
2005-09-29 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-09-29_final
2006-10-03 11:26:17	ga_ls5t_ard_3-0-0_112074_2006-10-03_final
2007-02-08 09:52:44	ga_ls5t_ard_3-0-0_096085_2007-02-08_final
2007-04-27 11:40:56	ga_ls5t_ard_3-0-0_114078_2007-04-27_final
2007-05-21 09:17:08	ga_ls5t_ard_3-0-0_090090_2007-05-20_final
2007-08-02 10:42:54	ga_ls5t_ard_3-0-0_105075_2007-08-02_final
2008-01-20 10:24:18	ga_ls5t_ard_3-0-0_102081_2008-01-20_final
2008-02-06 09:27:11	ga_ls5t_ard_3-0-0_093078_2008-02-05_final
2008-03-19 10:00:16	ga_ls5t_ard_3-0-0_099070_2008-03-19_final
2008-09-21 10:34:41	ga_ls5t_ard_3-0-0_105076_2008-09-21_final
2008-09-28 09:05:45	ga_ls5t_ard_3-0-0_090086_2008-09-27_final
2009-01-11 10:31:58	ga_ls5t_ard_3-0-0_105069_2009-01-11_final
2009-01-17 09:55:02	ga_ls5t_ard_3-0-0_099069_2009-01-17_final
2009-05-13 09:32:07	ga_ls5t_ard_3-0-0_095067_2009-05-13_final
2009-06-04 10:37:54	ga_ls5t_ard_3-0-0_105076_2009-06-04_final
2010-03-24 09:25:12	ga_ls5t_ard_3-0-0_092088_2010-03-23_final
2010-05-30 11:26:22	ga_ls5t_ard_3-0-0_113067_2010-05-30_final
2011-01-06 09:18:59	ga_ls5t_ard_3-1-0_092075_2011-01-05_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