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

67 results

Time (local)	Label
1987-12-07 09:38:21	ga_ls5t_ard_3-0-0_099069_1987-12-07_final
1987-12-17 10:17:58	ga_ls5t_ard_3-0-0_105075_1987-12-17_final
1988-01-08 11:20:08	ga_ls5t_ard_3-0-0_115075_1988-01-08_final
1988-02-10 08:51:26	ga_ls5t_ard_3-0-0_090088_1988-02-09_final
1988-03-12 11:21:06	ga_ls5t_ard_3-0-0_115075_1988-03-12_final
1988-05-09 10:22:31	ga_ls5t_ard_3-0-0_105082_1988-05-09_final
1988-06-02 11:12:33	ga_ls5t_ard_3-0-0_113083_1988-06-02_final
1988-06-16 09:43:42	ga_ls5t_ard_3-0-0_099077_1988-06-16_final
1988-12-25 09:40:14	ga_ls5t_ard_3-0-0_099069_1988-12-25_final
1989-01-11 08:47:43	ga_ls5t_ard_3-0-0_090077_1989-01-10_final
1989-06-26 09:44:39	ga_ls5t_ard_3-0-0_100071_1989-06-26_final
1989-10-13 09:09:40	ga_ls5t_ard_3-0-0_095067_1989-10-12_final
1989-11-27 10:17:08	ga_ls5t_ard_3-0-0_106069_1989-11-27_final
1990-08-29 10:45:57	ga_ls5t_ard_3-0-0_111074_1990-08-29_final
1991-04-26 09:06:27	ga_ls5t_ard_3-0-0_095067_1991-04-25_final
1991-05-12 10:48:04	ga_ls5t_ard_3-0-0_111073_1991-05-12_final
1991-09-08 09:21:12	ga_ls5t_ard_3-0-0_096084_1991-09-07_final
1991-11-04 09:10:34	ga_ls5t_ard_3-0-0_095072_1991-11-03_final
1992-06-19 08:50:58	ga_ls5t_ard_3-0-0_091087_1992-06-18_final
1992-07-13 09:33:45	ga_ls5t_ard_3-0-0_099071_1992-07-13_final
1992-11-22 10:46:40	ga_ls5t_ard_3-0-0_111073_1992-11-22_final
1992-11-25 09:38:20	ga_ls5t_ard_3-0-0_100072_1992-11-25_final
1993-03-14 10:47:51	ga_ls5t_ard_3-1-0_111073_1993-03-14_final
1993-07-30 09:45:51	ga_ls5t_ard_3-0-0_101072_1993-07-30_final
1993-11-05 09:35:10	ga_ls5t_ard_3-0-0_099077_1993-11-05_final
1994-02-08 08:50:12	ga_ls5t_ard_3-0-0_092075_1994-02-07_final
1994-06-19 09:22:23	ga_ls5t_ard_3-0-0_097084_1994-06-18_final
1994-09-26 09:49:31	ga_ls5t_ard_3-0-0_102081_1994-09-26_final
1995-08-29 08:42:26	ga_ls5t_ard_3-0-0_093086_1995-08-28_final
1995-11-11 09:12:58	ga_ls5t_ard_3-0-0_099078_1995-11-10_final
1996-02-02 08:11:39	ga_ls5t_ard_3-0-0_088082_1996-02-01_final
1996-03-22 08:54:12	ga_ls5t_ard_3-0-0_095072_1996-03-21_final
1996-12-19 10:48:05	ga_ls5t_ard_3-0-0_111073_1996-12-19_final
1997-01-09 11:08:02	ga_ls5t_ard_3-0-0_114074_1997-01-09_final
1997-01-11 09:14:05	ga_ls5t_ard_3-0-0_096067_1997-01-10_final
1997-03-06 08:46:54	ga_ls5t_ard_3-0-0_090086_1997-03-05_final
1997-04-17 09:17:57	ga_ls5t_ard_3-1-0_096067_1997-04-16_final
1997-09-28 09:01:26	ga_ls5t_ard_3-1-0_092074_1997-09-27_final
1997-11-26 08:46:23	ga_ls5t_ard_3-0-0_089079_1997-11-25_final
1998-02-27 09:56:02	ga_ls5t_ard_3-0-0_100078_1998-02-27_final
1998-10-25 09:58:09	ga_ls5t_ard_3-0-0_100077_1998-10-25_final
1998-12-16 09:36:20	ga_ls5t_ard_3-0-0_096084_1998-12-16_final
2003-10-05 10:05:49	ga_ls5t_ard_3-0-0_102068_2003-10-05_final
2004-01-06 11:17:12	ga_ls5t_ard_3-0-0_113074_2004-01-06_final
2004-01-11 10:00:28	ga_ls5t_ard_3-0-0_100083_2004-01-11_final
2004-02-26 10:12:14	ga_ls5t_ard_3-0-0_102081_2004-02-26_final
2004-03-12 09:23:29	ga_ls5t_ard_3-0-0_095067_2004-03-11_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2004-12-05 09:56:37	ga_ls5t_ard_3-0-0_099072_2004-12-05_final
2004-12-29 09:12:46	ga_ls5t_ard_3-0-0_091085_2004-12-28_final
2005-02-07 10:00:20	ga_ls5t_ard_3-0-0_099079_2005-02-07_final
2005-02-24 10:39:30	ga_ls5t_ard_3-0-0_106068_2005-02-24_final
2005-04-06 10:36:53	ga_ls5t_ard_3-0-0_105076_2005-04-06_final
2005-05-31 10:43:25	ga_ls5t_ard_3-0-0_106076_2005-05-31_final
2005-07-02 10:43:36	ga_ls5t_ard_3-0-0_106076_2005-07-02_final
2005-08-13 11:22:40	ga_ls5t_ard_3-0-0_112080_2005-08-13_final
2005-11-26 11:18:43	ga_ls5t_ard_3-0-0_111084_2005-11-26_final
2006-07-03 09:21:31	ga_ls5t_ard_3-1-0_092074_2006-07-02_final
2006-07-22 09:54:40	ga_ls5t_ard_3-0-0_097079_2006-07-22_final
2006-09-06 10:06:49	ga_ls5t_ard_3-0-0_099077_2006-09-06_final
2006-10-16 10:55:31	ga_ls5t_ard_3-0-0_107074_2006-10-16_final
2007-01-28 10:08:52	ga_ls5t_ard_3-0-0_099079_2007-01-28_final
2008-03-02 09:24:32	ga_ls5t_ard_3-0-0_092088_2008-03-01_final
2008-11-21 10:00:22	ga_ls5t_ard_3-0-0_100071_2008-11-21_final
2009-03-03 11:04:34	ga_ls5t_ard_3-0-0_110070_2009-03-03_final
2009-05-25 09:58:39	ga_ls5t_ard_3-0-0_099071_2009-05-25_final
2010-12-30 10:50:04	ga_ls5t_ard_3-0-0_107071_2010-12-30_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