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

59 results

Time (local)	Label
1988-04-22 11:15:35	ga_ls5t_ard_3-0-0_114076_1988-04-22_final
1988-12-15 10:45:16	ga_ls5t_ard_3-0-0_109077_1988-12-15_final
1989-03-16 08:51:08	ga_ls5t_ard_3-0-0_090088_1989-03-15_final
1989-05-02 09:39:07	ga_ls5t_ard_3-0-0_099070_1989-05-02_final
1989-09-03 10:05:22	ga_ls5t_ard_3-0-0_103080_1989-09-03_final
1990-02-14 09:36:39	ga_ls5t_ard_3-0-0_099082_1990-02-14_final
1990-06-29 09:41:51	ga_ls5t_ard_3-0-0_100083_1990-06-29_final
1990-08-18 09:28:06	ga_ls5t_ard_3-0-0_098080_1990-08-17_final
1991-01-15 08:53:17	ga_ls5t_ard_3-0-0_092085_1991-01-14_final
1991-01-15 10:27:23	ga_ls5t_ard_3-0-0_108073_1991-01-15_final
1991-02-13 09:55:01	ga_ls5t_ard_3-0-0_103068_1991-02-13_final
1991-03-05 09:30:40	ga_ls5t_ard_3-1-0_099068_1991-03-05_final
1991-10-06 09:43:43	ga_ls5t_ard_3-0-0_100078_1991-10-06_final
1991-11-04 09:10:57	ga_ls5t_ard_3-0-0_095073_1991-11-03_final
1992-04-17 09:27:43	ga_ls5t_ard_3-0-0_098069_1992-04-16_final
1992-11-01 08:47:35	ga_ls5t_ard_3-0-0_092068_1992-10-31_final
1993-02-07 08:39:24	ga_ls5t_ard_3-0-0_090077_1993-02-06_final
1993-02-23 10:14:45	ga_ls5t_ard_3-0-0_106068_1993-02-23_final
1993-03-01 09:39:21	ga_ls5t_ard_3-0-0_100072_1993-03-01_final
1993-03-27 10:14:57	ga_ls5t_ard_3-0-0_106068_1993-03-27_final
1993-12-10 10:04:16	ga_ls5t_ard_3-0-0_104073_1993-12-10_final
1994-01-05 10:38:40	ga_ls5t_ard_3-0-0_110067_1994-01-05_final
1994-07-02 08:44:22	ga_ls5t_ard_3-0-0_092067_1994-07-01_final
1994-08-25 09:48:45	ga_ls5t_ard_3-0-0_102077_1994-08-25_final
1994-10-30 09:34:03	ga_ls5t_ard_3-0-0_100076_1994-10-30_final
1994-11-01 09:24:48	ga_ls5t_ard_3-0-0_098084_1994-10-31_final
1995-09-08 10:53:31	ga_ls5t_ard_3-0-0_115075_1995-09-08_final
1996-05-31 10:00:59	ga_ls5t_ard_3-0-0_105074_1996-05-31_final
1996-06-05 08:46:06	ga_ls5t_ard_3-0-0_092087_1996-06-04_final
1996-10-18 10:33:34	ga_ls5t_ard_3-0-0_109075_1996-10-18_final
1997-01-08 10:27:55	ga_ls5t_ard_3-0-0_107082_1997-01-08_final
1997-02-18 10:18:21	ga_ls5t_ard_3-0-0_106069_1997-02-18_final
1998-04-18 11:23:38	ga_ls5t_ard_3-0-0_114079_1998-04-18_final
1998-07-13 09:12:28	ga_ls5t_ard_3-0-0_092088_1998-07-12_final
1998-07-26 10:16:34	ga_ls5t_ard_3-0-0_103078_1998-07-26_final
1999-05-19 10:07:39	ga_ls5t_ard_3-0-0_102071_1999-05-19_final
1999-06-25 10:27:16	ga_ls5t_ard_3-0-0_105075_1999-06-25_final
2003-08-04 09:56:04	ga_ls5t_ard_3-1-0_100077_2003-08-04_final
2003-08-14 10:32:31	ga_ls5t_ard_3-0-0_106075_2003-08-14_final
2003-09-15 10:33:29	ga_ls5t_ard_3-0-0_106076_2003-09-15_final
2004-05-13 11:18:56	ga_ls5t_ard_3-0-0_113074_2004-05-13_final
2004-05-27 09:55:12	ga_ls5t_ard_3-0-0_099080_2004-05-27_final
2004-07-17 10:28:23	ga_ls5t_ard_3-1-0_104082_2004-07-17_final
2004-09-11 09:41:54	ga_ls5t_ard_3-0-0_096086_2004-09-11_final
2004-09-11 11:13:12	ga_ls5t_ard_3-1-0_112067_2004-09-11_final
2005-06-26 09:44:58	ga_ls5t_ard_3-0-0_096084_2005-06-26_final
2005-11-21 09:20:23	ga_ls5t_ard_3-0-0_092082_2005-11-20_final
2006-02-27 09:08:16	ga_ls5t_ard_3-0-0_090077_2006-02-26_final
2006-09-07 10:48:06	ga_ls5t_ard_3-0-0_106072_2006-09-07_final
2007-01-08 10:34:17	ga_ls5t_ard_3-0-0_103081_2007-01-08_final
2007-03-27 09:08:36	ga_ls5t_ard_3-1-0_089083_2007-03-26_final
2007-07-10 10:36:07	ga_ls5t_ard_3-0-0_104073_2007-07-10_final
2007-07-30 10:10:26	ga_ls5t_ard_3-0-0_100071_2007-07-30_final
2008-03-18 09:19:01	ga_ls5t_ard_3-0-0_092075_2008-03-17_final
2008-08-05 09:38:01	ga_ls5t_ard_3-0-0_096070_2008-08-05_final
2008-09-03 10:49:11	ga_ls5t_ard_3-0-0_107080_2008-09-03_final
2009-09-28 10:14:35	ga_ls5t_ard_3-0-0_101075_2009-09-28_final
2010-11-18 10:12:53	ga_ls5t_ard_3-0-0_101071_2010-11-18_final
2011-01-25 09:49:05	ga_ls5t_ard_3-0-0_097073_2011-01-25_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