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
1987-09-06 10:56:42	ga_ls5t_ard_3-0-0_111084_1987-09-06_final
1987-09-11 09:30:30	ga_ls5t_ard_3-0-0_098069_1987-09-11_final
1987-09-25 09:46:22	ga_ls5t_ard_3-0-0_100077_1987-09-25_final
1988-01-25 10:22:26	ga_ls5t_ard_3-0-0_106069_1988-01-25_final
1988-03-22 08:41:42	ga_ls5t_ard_3-0-0_089078_1988-03-21_final
1988-10-21 08:59:12	ga_ls5t_ard_3-1-0_092074_1988-10-20_final
1989-02-10 09:03:26	ga_ls5t_ard_3-0-0_092086_1989-02-09_final
1989-05-18 09:39:10	ga_ls5t_ard_3-0-0_099071_1989-05-18_final
1989-06-11 08:50:56	ga_ls5t_ard_3-1-0_091075_1989-06-10_final
1989-08-22 09:40:05	ga_ls5t_ard_3-0-0_099078_1989-08-22_final
1990-02-14 11:12:44	ga_ls5t_ard_3-0-0_115075_1990-02-14_final
1990-05-28 09:39:29	ga_ls5t_ard_3-0-0_100077_1990-05-28_final
1990-08-13 09:10:23	ga_ls5t_ard_3-0-0_095082_1990-08-12_final
1991-02-18 08:39:35	ga_ls5t_ard_3-0-0_090080_1991-02-17_final
1991-05-17 09:30:33	ga_ls5t_ard_3-0-0_098080_1991-05-17_final
1992-01-12 09:28:23	ga_ls5t_ard_3-0-0_098070_1992-01-11_final
1992-01-20 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-20_final
1992-01-29 10:13:44	ga_ls5t_ard_3-0-0_105075_1992-01-29_final
1992-07-04 09:42:26	ga_ls5t_ard_3-0-0_100077_1992-07-04_final
1993-11-12 09:41:16	ga_ls5t_ard_3-0-0_100077_1993-11-12_final
1994-05-23 09:38:42	ga_ls5t_ard_3-0-0_100077_1994-05-23_final
1994-07-26 09:37:08	ga_ls5t_ard_3-0-0_100077_1994-07-26_final
1994-07-27 08:46:17	ga_ls5t_ard_3-0-0_091089_1994-07-26_final
1995-06-10 10:21:20	ga_ls5t_ard_3-0-0_109077_1995-06-10_final
1995-09-30 10:14:55	ga_ls5t_ard_3-0-0_109074_1995-09-30_final
1996-07-21 09:00:30	ga_ls5t_ard_3-0-0_094086_1996-07-20_final
1996-11-02 09:53:26	ga_ls5t_ard_3-0-0_102081_1996-11-02_final
1996-11-26 10:41:12	ga_ls5t_ard_3-1-0_110074_1996-11-26_final
1996-12-05 10:35:28	ga_ls5t_ard_3-0-0_109074_1996-12-05_final
1997-12-03 10:32:27	ga_ls5t_ard_3-0-0_106081_1997-12-03_final
1998-03-21 10:56:35	ga_ls5t_ard_3-0-0_110074_1998-03-21_final
1998-05-01 10:50:54	ga_ls5t_ard_3-0-0_109074_1998-05-01_final
1998-06-13 08:56:57	ga_ls5t_ard_3-0-0_090081_1998-06-12_final
1998-06-28 09:51:56	ga_ls5t_ard_3-0-0_099079_1998-06-28_final
1998-08-04 10:11:37	ga_ls5t_ard_3-0-0_102081_1998-08-04_final
1998-09-06 10:56:00	ga_ls5t_ard_3-0-0_109083_1998-09-06_final
1998-09-16 11:30:46	ga_ls5t_ard_3-0-0_115077_1998-09-16_final
1999-05-21 09:57:38	ga_ls5t_ard_3-0-0_100077_1999-05-21_final
1999-06-24 09:45:37	ga_ls5t_ard_3-0-0_098079_1999-06-24_final
1999-08-02 09:50:50	ga_ls5t_ard_3-0-0_099077_1999-08-02_final
1999-08-10 10:41:49	ga_ls5t_ard_3-0-0_107081_1999-08-10_final
2003-07-03 09:55:30	ga_ls5t_ard_3-0-0_100077_2003-07-03_final
2004-01-27 09:58:08	ga_ls5t_ard_3-0-0_100077_2004-01-27_final
2004-04-01 10:41:23	ga_ls5t_ard_3-0-0_107076_2004-04-01_final
2004-06-20 10:43:45	ga_ls5t_ard_3-0-0_107076_2004-06-20_final
2004-08-06 10:02:04	ga_ls5t_ard_3-0-0_100077_2004-08-06_final
2004-08-07 10:44:57	ga_ls5t_ard_3-0-0_107076_2004-08-07_final
2004-09-05 10:16:49	ga_ls5t_ard_3-0-0_102081_2004-09-05_final
2004-09-22 10:57:43	ga_ls5t_ard_3-0-0_109074_2004-09-22_final
2004-10-29 09:36:58	ga_ls5t_ard_3-0-0_096071_2004-10-29_final
2004-11-04 10:40:29	ga_ls5t_ard_3-0-0_106075_2004-11-04_final
2005-06-14 10:55:05	ga_ls5t_ard_3-0-0_108074_2005-06-14_final
2005-08-23 10:21:20	ga_ls5t_ard_3-0-0_102081_2005-08-23_final
2005-09-04 10:43:42	ga_ls5t_ard_3-0-0_106075_2005-09-04_final
2005-10-20 10:55:35	ga_ls5t_ard_3-0-0_108074_2005-10-20_final
2006-05-16 10:59:40	ga_ls5t_ard_3-0-0_108074_2006-05-16_final
2006-05-25 09:19:31	ga_ls5t_ard_3-0-0_091086_2006-05-24_final
2006-06-17 09:26:51	ga_ls5t_ard_3-0-0_092088_2006-06-16_final
2006-12-24 11:15:27	ga_ls5t_ard_3-0-0_110076_2006-12-24_final
2007-02-20 10:14:16	ga_ls5t_ard_3-0-0_100077_2007-02-20_final
2007-02-28 11:03:42	ga_ls5t_ard_3-0-0_108077_2007-02-28_final
2007-03-18 09:14:01	ga_ls5t_ard_3-0-0_090081_2007-03-17_final
2007-06-29 09:22:14	ga_ls5t_ard_3-0-0_091089_2007-06-28_final
2008-01-15 10:01:52	ga_ls5t_ard_3-0-0_099071_2008-01-15_final
2008-09-21 10:34:41	ga_ls5t_ard_3-0-0_105076_2008-09-21_final
2008-11-13 10:50:45	ga_ls5t_ard_3-0-0_108074_2008-11-13_final
2009-06-10 10:01:44	ga_ls5t_ard_3-0-0_099078_2009-06-10_final
2009-11-28 09:47:50	ga_ls5t_ard_3-0-0_096084_2009-11-28_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