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
1987-05-25 10:03:30	ga_ls5t_ard_3-0-0_103081_1987-05-25_final
1987-09-09 09:45:36	ga_ls5t_ard_3-0-0_100076_1987-09-09_final
1987-12-27 09:15:32	ga_ls5t_ard_3-0-0_095073_1987-12-26_final
1988-05-05 09:05:07	ga_ls5t_ard_3-0-0_093074_1988-05-04_final
1988-05-22 09:47:44	ga_ls5t_ard_3-0-0_100072_1988-05-22_final
1988-06-11 11:06:24	ga_ls5t_ard_3-0-0_112083_1988-06-11_final
1988-07-19 10:27:53	ga_ls5t_ard_3-0-0_106079_1988-07-19_final
1988-08-11 08:56:22	ga_ls5t_ard_3-0-0_091082_1988-08-10_final
1989-01-11 10:23:01	ga_ls5t_ard_3-0-0_106068_1989-01-11_final
1989-03-23 08:54:12	ga_ls5t_ard_3-0-0_091081_1989-03-22_final
1989-06-18 10:34:59	ga_ls5t_ard_3-0-0_108073_1989-06-18_final
1989-06-29 08:41:01	ga_ls5t_ard_3-0-0_089082_1989-06-28_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1991-02-04 08:27:39	ga_ls5t_ard_3-0-0_088082_1991-02-03_final
1991-04-07 10:14:32	ga_ls5t_ard_3-0-0_106068_1991-04-07_final
1991-07-27 11:14:40	ga_ls5t_ard_3-0-0_115075_1991-07-27_final
1991-10-15 09:34:04	ga_ls5t_ard_3-0-0_099069_1991-10-15_final
1991-10-26 10:56:24	ga_ls5t_ard_3-0-0_112074_1991-10-26_final
1991-12-02 09:38:21	ga_ls5t_ard_3-0-0_099079_1991-12-02_final
1992-01-27 10:29:16	ga_ls5t_ard_3-0-0_107083_1992-01-27_final
1992-02-10 09:03:01	ga_ls5t_ard_3-0-0_093084_1992-02-09_final
1992-02-25 09:52:16	ga_ls5t_ard_3-0-0_102068_1992-02-25_final
1992-05-05 10:56:02	ga_ls5t_ard_3-0-0_112074_1992-05-05_final
1992-06-21 08:39:47	ga_ls5t_ard_3-1-0_089090_1992-06-20_final
1992-06-30 08:29:32	ga_ls5t_ard_3-1-0_088080_1992-06-29_final
1993-09-07 09:56:01	ga_ls5t_ard_3-0-0_102082_1993-09-07_final
1993-09-20 10:57:58	ga_ls5t_ard_3-0-0_113067_1993-09-20_final
1993-12-27 10:47:22	ga_ls5t_ard_3-0-0_111073_1993-12-27_final
1994-01-10 09:19:26	ga_ls5t_ard_3-0-0_097070_1994-01-09_final
1994-01-30 10:35:45	ga_ls5t_ard_3-0-0_109076_1994-01-30_final
1994-06-14 10:38:52	ga_ls5t_ard_3-0-0_110074_1994-06-14_final
1994-09-24 08:23:03	ga_ls5t_ard_3-1-0_088081_1994-09-23_final
1995-06-27 09:27:21	ga_ls5t_ard_3-0-0_100083_1995-06-26_final
1995-07-26 08:48:45	ga_ls5t_ard_3-0-0_095067_1995-07-25_final
1996-05-12 09:27:48	ga_ls5t_ard_3-0-0_100071_1996-05-11_final
1996-05-18 08:55:28	ga_ls5t_ard_3-0-0_094082_1996-05-17_final
1997-02-07 09:04:20	ga_ls5t_ard_3-0-0_093086_1997-02-06_final
1997-07-04 09:34:37	ga_ls5t_ard_3-0-0_098071_1997-07-04_final
1997-09-15 11:14:26	ga_ls5t_ard_3-0-0_113083_1997-09-15_final
1998-01-07 11:02:11	ga_ls5t_ard_3-0-0_111076_1998-01-07_final
1998-07-04 09:17:45	ga_ls5t_ard_3-0-0_093086_1998-07-03_final
1998-10-15 09:17:02	ga_ls5t_ard_3-0-0_094067_1998-10-14_final
1999-03-27 09:49:56	ga_ls5t_ard_3-0-0_099072_1999-03-27_final
1999-05-14 09:49:14	ga_ls5t_ard_3-0-0_099071_1999-05-14_final
1999-10-15 10:23:38	ga_ls5t_ard_3-0-0_105069_1999-10-15_final
1999-11-06 09:49:58	ga_ls5t_ard_3-0-0_099079_1999-11-06_final
1999-12-12 09:25:56	ga_ls5t_ard_3-0-0_095083_1999-12-11_final
2003-07-11 10:44:41	ga_ls5t_ard_3-0-0_108076_2003-07-11_final
2003-12-15 10:14:25	ga_ls5t_ard_3-0-0_103072_2003-12-15_final
2003-12-28 09:42:52	ga_ls5t_ard_3-0-0_098070_2003-12-28_final
2004-02-21 09:52:53	ga_ls5t_ard_3-0-0_099079_2004-02-21_final
2004-03-31 09:56:06	ga_ls5t_ard_3-0-0_100071_2004-03-31_final
2004-10-15 11:04:24	ga_ls5t_ard_3-1-0_110074_2004-10-15_final
2005-04-14 09:50:40	ga_ls5t_ard_3-0-0_097084_2005-04-14_final
2005-06-12 11:11:02	ga_ls5t_ard_3-0-0_110083_2005-06-12_final
2005-06-14 09:22:12	ga_ls5t_ard_3-0-0_092089_2005-06-13_final
2005-08-19 10:43:38	ga_ls5t_ard_3-0-0_106075_2005-08-19_final
2005-11-13 10:07:38	ga_ls5t_ard_3-0-0_100077_2005-11-13_final
2006-03-02 11:16:56	ga_ls5t_ard_3-0-0_111074_2006-03-02_final
2006-04-16 10:44:29	ga_ls5t_ard_3-0-0_106068_2006-04-16_final
2006-09-22 11:46:18	ga_ls5t_ard_3-0-0_115078_2006-09-22_final
2006-12-21 09:06:50	ga_ls5t_ard_3-0-0_089079_2006-12-20_final
2007-05-27 10:11:41	ga_ls5t_ard_3-0-0_100072_2007-05-27_final
2007-08-07 09:28:07	ga_ls5t_ard_3-0-0_092089_2007-08-06_final
2009-08-19 11:06:17	ga_ls5t_ard_3-0-0_109082_2009-08-19_final
2010-04-23 11:13:09	ga_ls5t_ard_3-0-0_110080_2010-04-23_final
2010-08-05 10:20:51	ga_ls5t_ard_3-0-0_102074_2010-08-05_final
2011-05-24 09:56:28	ga_ls5t_ard_3-0-0_098077_2011-05-24_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