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

55 results

Time (local)	Label
1988-09-24 10:56:23	ga_ls5t_ard_3-0-0_111073_1988-09-24_final
1988-10-01 11:06:54	ga_ls5t_ard_3-0-0_112084_1988-10-01_final
1988-10-22 09:41:40	ga_ls5t_ard_3-0-0_099072_1988-10-22_final
1988-10-27 10:03:48	ga_ls5t_ard_3-0-0_102081_1988-10-27_final
1989-01-24 09:53:02	ga_ls5t_ard_3-0-0_101071_1989-01-24_final
1989-07-05 11:19:35	ga_ls5t_ard_3-0-0_115077_1989-07-05_final
1989-08-28 09:05:42	ga_ls5t_ard_3-0-0_093085_1989-08-27_final
1990-04-03 09:33:33	ga_ls5t_ard_3-0-0_099078_1990-04-03_final
1990-04-22 08:27:23	ga_ls5t_ard_3-0-0_088082_1990-04-21_final
1990-06-06 09:30:54	ga_ls5t_ard_3-0-0_099071_1990-06-06_final
1990-10-27 10:27:03	ga_ls5t_ard_3-0-0_108074_1990-10-27_final
1991-05-16 08:45:17	ga_ls5t_ard_3-1-0_091075_1991-05-15_final
1991-11-16 09:37:20	ga_ls5t_ard_3-0-0_099077_1991-11-16_final
1992-04-07 08:55:51	ga_ls5t_ard_3-0-0_092082_1992-04-06_final
1993-01-05 09:34:38	ga_ls5t_ard_3-0-0_099077_1993-01-05_final
1993-05-06 09:32:11	ga_ls5t_ard_3-0-0_098084_1993-05-06_final
1993-10-19 08:50:50	ga_ls5t_ard_3-1-0_092074_1993-10-18_final
1993-12-06 10:29:25	ga_ls5t_ard_3-0-0_108074_1993-12-06_final
1994-04-30 09:32:56	ga_ls5t_ard_3-0-0_099077_1994-04-30_final
1994-06-17 09:32:00	ga_ls5t_ard_3-0-0_099077_1994-06-17_final
1995-02-21 09:15:16	ga_ls5t_ard_3-0-0_098070_1995-02-20_final
1995-05-13 08:19:50	ga_ls5t_ard_3-0-0_089079_1995-05-12_final
1995-11-23 09:39:08	ga_ls5t_ard_3-0-0_103081_1995-11-23_final
1996-01-14 09:16:19	ga_ls5t_ard_3-0-0_099077_1996-01-13_final
1996-07-24 09:28:46	ga_ls5t_ard_3-0-0_099079_1996-07-23_final
1996-11-13 09:33:48	ga_ls5t_ard_3-0-0_099077_1996-11-13_final
1997-02-02 10:18:52	ga_ls5t_ard_3-0-0_106072_1997-02-02_final
1997-09-12 10:39:52	ga_ls5t_ard_3-0-0_108074_1997-09-12_final
1998-05-27 09:51:09	ga_ls5t_ard_3-0-0_099078_1998-05-27_final
1999-02-27 11:04:55	ga_ls5t_ard_3-0-0_111073_1999-02-27_final
2003-07-13 10:32:21	ga_ls5t_ard_3-0-0_106076_2003-07-13_final
2003-07-29 10:32:15	ga_ls5t_ard_3-0-0_106075_2003-07-29_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2004-01-19 10:46:20	ga_ls5t_ard_3-0-0_108074_2004-01-19_final
2004-02-21 09:52:05	ga_ls5t_ard_3-0-0_099077_2004-02-21_final
2004-03-07 10:46:35	ga_ls5t_ard_3-0-0_108074_2004-03-07_final
2004-03-09 10:35:02	ga_ls5t_ard_3-0-0_106076_2004-03-09_final
2004-04-10 10:35:30	ga_ls5t_ard_3-0-0_106076_2004-04-10_final
2004-05-20 09:48:01	ga_ls5t_ard_3-0-0_098078_2004-05-20_final
2004-06-28 09:55:21	ga_ls5t_ard_3-0-0_099078_2004-06-28_final
2004-09-24 10:45:48	ga_ls5t_ard_3-0-0_107075_2004-09-24_final
2004-11-26 10:04:35	ga_ls5t_ard_3-0-0_100077_2004-11-26_final
2005-02-24 10:42:42	ga_ls5t_ard_3-0-0_106076_2005-02-24_final
2005-04-18 11:00:51	ga_ls5t_ard_3-0-0_109074_2005-04-18_final
2005-05-07 09:54:59	ga_ls5t_ard_3-0-0_098079_2005-05-07_final
2005-09-20 10:44:07	ga_ls5t_ard_3-0-0_106076_2005-09-20_final
2006-05-06 10:20:04	ga_ls5t_ard_3-0-0_102068_2006-05-06_final
2006-07-29 10:00:33	ga_ls5t_ard_3-0-0_098078_2006-07-29_final
2006-10-02 10:43:48	ga_ls5t_ard_3-0-0_105076_2006-10-02_final
2007-02-01 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-02-01_final
2007-06-10 10:22:13	ga_ls5t_ard_3-0-0_102068_2007-06-10_final
2009-02-03 10:38:21	ga_ls5t_ard_3-0-0_106068_2009-02-03_final
2009-03-28 09:27:15	ga_ls5t_ard_3-1-0_093088_2009-03-27_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2009-04-30 10:06:45	ga_ls5t_ard_3-0-0_100077_2009-04-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years