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

58 results

Time (local)	Label
1987-11-21 09:42:06	ga_ls5t_ard_3-0-0_099079_1987-11-21_final
1988-02-02 09:37:32	ga_ls5t_ard_3-0-0_098080_1988-02-02_final
1988-03-11 10:37:26	ga_ls5t_ard_3-0-0_108074_1988-03-11_final
1988-07-17 09:04:09	ga_ls5t_ard_3-0-0_092086_1988-07-16_final
1988-08-10 09:50:00	ga_ls5t_ard_3-0-0_100077_1988-08-10_final
1988-11-06 10:38:09	ga_ls5t_ard_3-0-0_108074_1988-11-06_final
1988-12-02 09:37:54	ga_ls5t_ard_3-0-0_098078_1988-12-02_final
1989-01-09 10:37:49	ga_ls5t_ard_3-0-0_108074_1989-01-09_final
1989-01-17 09:49:24	ga_ls5t_ard_3-0-0_100077_1989-01-17_final
1989-04-15 10:36:38	ga_ls5t_ard_3-0-0_108074_1989-04-15_final
1990-09-02 10:24:00	ga_ls5t_ard_3-0-0_107081_1990-09-02_final
1990-09-25 10:27:18	ga_ls5t_ard_3-0-0_108074_1990-09-25_final
1990-10-11 10:27:09	ga_ls5t_ard_3-0-0_108074_1990-10-11_final
1991-05-07 10:29:51	ga_ls5t_ard_3-0-0_108074_1991-05-07_final
1991-07-03 08:51:39	ga_ls5t_ard_3-0-0_091089_1991-07-02_final
1991-10-06 09:43:19	ga_ls5t_ard_3-0-0_100077_1991-10-06_final
1992-01-18 10:31:48	ga_ls5t_ard_3-0-0_108074_1992-01-18_final
1993-04-26 10:27:58	ga_ls5t_ard_3-1-0_108069_1993-04-26_final
1993-06-21 09:41:47	ga_ls5t_ard_3-0-0_100077_1993-06-21_final
1993-09-01 10:29:55	ga_ls5t_ard_3-0-0_108074_1993-09-01_final
1994-03-28 10:27:57	ga_ls5t_ard_3-0-0_108074_1994-03-28_final
1994-05-09 09:27:22	ga_ls5t_ard_3-0-0_098079_1994-05-08_final
1994-05-15 10:27:04	ga_ls5t_ard_3-0-0_108074_1994-05-15_final
1994-08-20 09:30:44	ga_ls5t_ard_3-0-0_099078_1994-08-20_final
1994-11-08 09:28:45	ga_ls5t_ard_3-0-0_099079_1994-11-07_final
1994-12-03 09:21:46	ga_ls5t_ard_3-0-0_098079_1994-12-02_final
1995-06-28 10:07:22	ga_ls5t_ard_3-0-0_107075_1995-06-28_final
1995-09-07 10:09:54	ga_ls5t_ard_3-0-0_108074_1995-09-07_final
1996-03-26 10:09:48	ga_ls5t_ard_3-0-0_107075_1996-03-26_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1996-10-12 11:11:09	ga_ls5t_ard_3-0-0_115077_1996-10-12_final
1996-10-18 10:33:10	ga_ls5t_ard_3-0-0_109074_1996-10-18_final
1997-02-17 11:16:20	ga_ls5t_ard_3-1-0_115075_1997-02-17_final
1997-03-11 10:39:44	ga_ls5t_ard_3-0-0_109074_1997-03-11_final
1997-03-29 10:28:27	ga_ls5t_ard_3-0-0_107075_1997-03-29_final
1997-04-21 10:35:04	ga_ls5t_ard_3-0-0_108074_1997-04-21_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-07-16 09:58:34	ga_ls5t_ard_3-0-0_102068_1997-07-16_final
1997-11-22 10:47:54	ga_ls5t_ard_3-0-0_109074_1997-11-22_final
1998-05-11 11:29:23	ga_ls5t_ard_3-0-0_115077_1998-05-11_final
1998-09-08 10:40:27	ga_ls5t_ard_3-0-0_107075_1998-09-08_final
1999-05-29 10:45:41	ga_ls5t_ard_3-0-0_108074_1999-05-29_final
1999-06-07 10:39:46	ga_ls5t_ard_3-0-0_107075_1999-06-07_final
1999-07-16 10:45:16	ga_ls5t_ard_3-0-0_108074_1999-07-16_final
2003-09-22 10:39:22	ga_ls5t_ard_3-0-0_107075_2003-09-22_final
2004-04-13 11:08:54	ga_ls5t_ard_3-0-0_111082_2004-04-13_final
2004-06-29 10:37:27	ga_ls5t_ard_3-0-0_106075_2004-06-29_final
2004-09-17 10:39:28	ga_ls5t_ard_3-0-0_106075_2004-09-17_final
2004-10-10 10:46:08	ga_ls5t_ard_3-0-0_107075_2004-10-10_final
2005-02-10 10:28:06	ga_ls5t_ard_3-0-0_104071_2005-02-10_final
2005-03-19 10:48:45	ga_ls5t_ard_3-0-0_107075_2005-03-19_final
2005-04-04 10:48:50	ga_ls5t_ard_3-0-0_107075_2005-04-04_final
2005-04-28 10:00:42	ga_ls5t_ard_3-0-0_099078_2005-04-28_final
2005-07-17 10:01:41	ga_ls5t_ard_3-0-0_099079_2005-07-17_final
2006-03-14 10:04:37	ga_ls5t_ard_3-0-0_099078_2006-03-14_final
2006-04-24 09:59:34	ga_ls5t_ard_3-0-0_098079_2006-04-24_final
2006-05-28 09:50:03	ga_ls5t_ard_3-0-0_096085_2006-05-28_final
2010-04-09 09:20:22	ga_ls5t_ard_3-0-0_092076_2010-04-08_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