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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
1987-10-20 09:38:16	ga_ls5t_ard_3-0-0_099071_1987-10-20_final
1987-12-17 08:40:41	ga_ls5t_ard_3-0-0_089079_1987-12-16_final
1988-01-27 10:14:30	ga_ls5t_ard_3-0-0_104080_1988-01-27_final
1988-07-24 10:45:14	ga_ls5t_ard_3-0-0_109076_1988-07-24_final
1988-12-10 10:24:25	ga_ls5t_ard_3-0-0_106071_1988-12-10_final
1988-12-12 10:12:01	ga_ls5t_ard_3-0-0_104071_1988-12-12_final
1989-04-14 09:56:35	ga_ls5t_ard_3-0-0_101082_1989-04-14_final
1990-10-27 08:53:45	ga_ls5t_ard_3-0-0_092088_1990-10-26_final
1991-02-17 11:12:04	ga_ls5t_ard_3-0-0_115075_1991-02-17_final
1991-07-08 09:01:27	ga_ls5t_ard_3-0-0_094067_1991-07-07_final
1991-07-16 09:56:33	ga_ls5t_ard_3-0-0_102081_1991-07-16_final
1991-09-06 09:30:45	ga_ls5t_ard_3-0-0_098077_1991-09-06_final
1992-02-08 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-08_final
1992-05-25 10:31:08	ga_ls5t_ard_3-0-0_108074_1992-05-25_final
1992-08-23 11:07:27	ga_ls5t_ard_3-0-0_114075_1992-08-23_final
1992-09-03 10:45:34	ga_ls5t_ard_3-0-0_111067_1992-09-03_final
1992-09-25 10:09:18	ga_ls5t_ard_3-0-0_105070_1992-09-25_final
1992-10-16 10:29:02	ga_ls5t_ard_3-0-0_108074_1992-10-16_final
1992-12-28 08:48:41	ga_ls5t_ard_3-0-0_091086_1992-12-27_final
1993-04-24 09:08:13	ga_ls5t_ard_3-0-0_094086_1993-04-23_final
1993-10-14 10:08:49	ga_ls5t_ard_3-0-0_105068_1993-10-14_final
1995-07-01 08:56:04	ga_ls5t_ard_3-0-0_096067_1995-06-30_final
1995-09-21 08:39:53	ga_ls5t_ard_3-0-0_094067_1995-09-20_final
1995-10-21 08:50:38	ga_ls5t_ard_3-0-0_096067_1995-10-20_final
1996-06-14 10:14:30	ga_ls5t_ard_3-0-0_107075_1996-06-14_final
1997-01-25 11:09:10	ga_ls5t_ard_3-0-0_114075_1997-01-25_final
1997-03-07 11:07:30	ga_ls5t_ard_3-0-0_113082_1997-03-07_final
1997-09-08 09:22:47	ga_ls5t_ard_3-0-0_096067_1997-09-07_final
1998-03-03 09:26:59	ga_ls5t_ard_3-0-0_096067_1998-03-02_final
1998-07-14 09:51:21	ga_ls5t_ard_3-0-0_099077_1998-07-14_final
1998-11-02 10:46:26	ga_ls5t_ard_3-0-0_108074_1998-11-02_final
1999-04-11 10:46:15	ga_ls5t_ard_3-0-0_108074_1999-04-11_final
2003-07-16 09:20:49	ga_ls5t_ard_3-0-0_095067_2003-07-15_final
2003-09-22 10:39:22	ga_ls5t_ard_3-0-0_107075_2003-09-22_final
2003-11-18 10:34:20	ga_ls5t_ard_3-0-0_106076_2003-11-18_final
2003-11-21 09:29:36	ga_ls5t_ard_3-0-0_095084_2003-11-20_final
2004-04-25 09:53:52	ga_ls5t_ard_3-0-0_099079_2004-04-25_final
2004-06-20 10:43:20	ga_ls5t_ard_3-0-0_107075_2004-06-20_final
2004-07-18 11:05:41	ga_ls5t_ard_3-0-0_111067_2004-07-18_final
2005-03-05 10:39:02	ga_ls5t_ard_3-1-0_105082_2005-03-05_final
2005-10-21 09:58:46	ga_ls5t_ard_3-0-0_099071_2005-10-21_final
2006-02-14 11:17:24	ga_ls5t_ard_3-0-0_111076_2006-02-14_final
2006-08-09 09:37:45	ga_ls5t_ard_3-0-0_095067_2006-08-09_final
2006-09-22 11:45:53	ga_ls5t_ard_3-0-0_115077_2006-09-22_final
2007-04-29 09:45:17	ga_ls5t_ard_3-1-0_096067_2007-04-29_final
2007-05-15 09:51:30	ga_ls5t_ard_3-0-0_096083_2007-05-15_final
2008-01-19 09:35:28	ga_ls5t_ard_3-0-0_095067_2008-01-19_final
2008-03-28 11:31:35	ga_ls5t_ard_3-0-0_114067_2008-03-28_final
2008-07-25 09:57:17	ga_ls5t_ard_3-0-0_099071_2008-07-25_final
2009-02-16 10:11:22	ga_ls5t_ard_3-0-0_101077_2009-02-16_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2010-03-24 09:25:12	ga_ls5t_ard_3-0-0_092088_2010-03-23_final
2010-04-20 10:38:16	ga_ls5t_ard_3-0-0_105070_2010-04-20_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