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

70 results

Time (local)	Label
1987-12-15 10:29:54	ga_ls5t_ard_3-0-0_107074_1987-12-15_final
1988-02-26 10:28:08	ga_ls5t_ard_3-1-0_106082_1988-02-26_final
1988-03-21 09:38:06	ga_ls5t_ard_3-0-0_098080_1988-03-21_final
1988-05-31 09:44:25	ga_ls5t_ard_3-0-0_099079_1988-05-31_final
1988-08-06 10:16:20	ga_ls5t_ard_3-1-0_104081_1988-08-06_final
1988-12-26 10:24:18	ga_ls5t_ard_3-0-0_106071_1988-12-26_final
1989-03-06 09:48:56	ga_ls5t_ard_3-0-0_100077_1989-03-06_final
1989-09-10 10:08:31	ga_ls5t_ard_3-1-0_104073_1989-09-10_final
1989-12-20 10:27:29	ga_ls5t_ard_3-0-0_107081_1989-12-20_final
1989-12-28 11:15:05	ga_ls5t_ard_3-0-0_115077_1989-12-28_final
1991-05-31 09:42:22	ga_ls5t_ard_3-0-0_100078_1991-05-31_final
1991-12-10 08:52:33	ga_ls5t_ard_3-0-0_091088_1991-12-09_final
1992-01-19 11:16:16	ga_ls5t_ard_3-0-0_115077_1992-01-19_final
1992-07-12 08:55:42	ga_ls5t_ard_3-0-0_092084_1992-07-11_final
1992-07-22 09:30:39	ga_ls5t_ard_3-0-0_098079_1992-07-22_final
1993-01-09 10:47:15	ga_ls5t_ard_3-0-0_111073_1993-01-09_final
1993-03-24 09:47:37	ga_ls5t_ard_3-0-0_101077_1993-03-24_final
1993-05-19 10:40:12	ga_ls5t_ard_3-0-0_109084_1993-05-19_final
1993-10-12 10:26:23	ga_ls5t_ard_3-0-0_107081_1993-10-12_final
1993-10-29 09:29:27	ga_ls5t_ard_3-0-0_098078_1993-10-28_final
1994-05-15 08:53:47	ga_ls5t_ard_3-0-0_092088_1994-05-14_final
1994-06-09 08:47:32	ga_ls5t_ard_3-0-0_091089_1994-06-08_final
1994-07-03 11:10:28	ga_ls5t_ard_3-0-0_115077_1994-07-03_final
1994-09-21 09:30:19	ga_ls5t_ard_3-0-0_099079_1994-09-21_final
1994-10-16 09:23:23	ga_ls5t_ard_3-0-0_098079_1994-10-15_final
1995-07-22 09:18:27	ga_ls5t_ard_3-0-0_099079_1995-07-21_final
1996-06-21 08:47:22	ga_ls5t_ard_3-0-0_092088_1996-06-20_final
1996-07-17 09:21:49	ga_ls5t_ard_3-0-0_098078_1996-07-16_final
1996-12-06 09:38:41	ga_ls5t_ard_3-0-0_100071_1996-12-06_final
1997-03-30 09:34:04	ga_ls5t_ard_3-0-0_098078_1997-03-30_final
1997-07-03 08:58:30	ga_ls5t_ard_3-0-0_091089_1997-07-02_final
1998-08-23 10:42:43	ga_ls5t_ard_3-0-0_107081_1998-08-23_final
1998-11-11 10:43:09	ga_ls5t_ard_3-0-0_107081_1998-11-11_final
1998-11-27 10:43:10	ga_ls5t_ard_3-0-0_107081_1998-11-27_final
1998-12-09 09:25:22	ga_ls5t_ard_3-0-0_095072_1998-12-08_final
1999-05-15 10:34:04	ga_ls5t_ard_3-0-0_106075_1999-05-15_final
1999-06-07 10:42:09	ga_ls5t_ard_3-0-0_107081_1999-06-07_final
1999-06-24 09:45:13	ga_ls5t_ard_3-0-0_098078_1999-06-24_final
1999-10-20 10:44:06	ga_ls5t_ard_3-0-0_108074_1999-10-20_final
2003-08-01 11:06:24	ga_ls5t_ard_3-0-0_111083_2003-08-01_final
2003-08-05 10:40:57	ga_ls5t_ard_3-0-0_107081_2003-08-05_final
2003-08-21 10:39:14	ga_ls5t_ard_3-0-0_107076_2003-08-21_final
2003-09-22 10:39:46	ga_ls5t_ard_3-0-0_107076_2003-09-22_final
2003-12-27 10:42:52	ga_ls5t_ard_3-0-0_107081_2003-12-27_final
2004-05-26 09:15:05	ga_ls5t_ard_3-0-0_092088_2004-05-25_final
2004-06-12 09:56:52	ga_ls5t_ard_3-0-0_099083_2004-06-12_final
2004-07-06 10:44:14	ga_ls5t_ard_3-0-0_107076_2004-07-06_final
2004-07-29 09:17:16	ga_ls5t_ard_3-0-0_092089_2004-07-28_final
2004-11-22 10:28:00	ga_ls5t_ard_3-0-0_104074_2004-11-22_final
2004-11-25 10:58:59	ga_ls5t_ard_3-0-0_109074_2004-11-25_final
2005-01-07 10:41:35	ga_ls5t_ard_3-0-0_106075_2005-01-07_final
2005-02-08 10:42:01	ga_ls5t_ard_3-0-0_106075_2005-02-08_final
2005-02-15 10:50:43	ga_ls5t_ard_3-0-0_107081_2005-02-15_final
2005-04-05 09:54:49	ga_ls5t_ard_3-0-0_098079_2005-04-05_final
2005-05-24 10:37:10	ga_ls5t_ard_3-0-0_105076_2005-05-24_final
2006-04-08 09:58:54	ga_ls5t_ard_3-0-0_098078_2006-04-08_final
2006-04-23 09:20:17	ga_ls5t_ard_3-0-0_091089_2006-04-22_final
2006-06-10 10:54:16	ga_ls5t_ard_3-0-0_107075_2006-06-10_final
2006-07-12 09:21:27	ga_ls5t_ard_3-0-0_091089_2006-07-11_final
2006-07-13 10:01:08	ga_ls5t_ard_3-0-0_098080_2006-07-13_final
2006-07-29 10:00:56	ga_ls5t_ard_3-0-0_098079_2006-07-29_final
2006-08-13 10:55:09	ga_ls5t_ard_3-0-0_107075_2006-08-13_final
2006-08-13 10:57:33	ga_ls5t_ard_3-0-0_107081_2006-08-13_final
2006-08-29 09:16:28	ga_ls5t_ard_3-1-0_091075_2006-08-28_final
2006-09-14 10:57:57	ga_ls5t_ard_3-0-0_107081_2006-09-14_final
2006-10-25 09:12:08	ga_ls5t_ard_3-0-0_090078_2006-10-24_final
2007-03-01 10:08:53	ga_ls5t_ard_3-0-0_099079_2007-03-01_final
2008-03-11 10:51:52	ga_ls5t_ard_3-0-0_107075_2008-03-11_final
2009-03-30 10:48:38	ga_ls5t_ard_3-0-0_107075_2009-03-30_final
2011-05-23 10:51:18	ga_ls5t_ard_3-0-0_107075_2011-05-23_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