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

50 results

Time (local)	Label
1987-05-29 09:37:17	ga_ls5t_ard_3-0-0_099077_1987-05-29_final
1987-11-30 09:37:15	ga_ls5t_ard_3-0-0_098082_1987-11-30_final
1988-06-27 09:23:37	ga_ls5t_ard_3-0-0_096073_1988-06-26_final
1988-08-08 09:58:47	ga_ls5t_ard_3-0-0_102068_1988-08-08_final
1988-10-22 09:43:40	ga_ls5t_ard_3-0-0_099077_1988-10-22_final
1988-11-15 10:35:08	ga_ls5t_ard_3-0-0_107082_1988-11-15_final
1989-04-16 09:43:47	ga_ls5t_ard_3-0-0_099081_1989-04-16_final
1989-08-25 08:32:50	ga_ls5t_ard_3-1-0_088080_1989-08-24_final
1990-07-20 09:59:29	ga_ls5t_ard_3-0-0_103081_1990-07-20_final
1990-10-17 09:52:49	ga_ls5t_ard_3-0-0_102081_1990-10-17_final
1991-02-18 08:39:35	ga_ls5t_ard_3-0-0_090080_1991-02-17_final
1991-09-03 10:37:29	ga_ls5t_ard_3-0-0_109074_1991-09-03_final
1991-09-07 10:12:50	ga_ls5t_ard_3-0-0_105074_1991-09-07_final
1991-09-08 09:21:12	ga_ls5t_ard_3-0-0_096084_1991-09-07_final
1992-08-04 09:01:35	ga_ls5t_ard_3-0-0_093084_1992-08-03_final
1992-12-30 08:34:20	ga_ls5t_ard_3-0-0_089081_1992-12-29_final
1993-01-29 10:26:21	ga_ls5t_ard_3-0-0_107082_1993-01-29_final
1993-10-04 09:33:00	ga_ls5t_ard_3-0-0_099071_1993-10-04_final
1993-12-09 09:25:24	ga_ls5t_ard_3-0-0_097084_1993-12-08_final
1994-05-21 09:52:17	ga_ls5t_ard_3-0-0_102080_1994-05-21_final
1994-11-17 09:19:28	ga_ls5t_ard_3-0-0_098072_1994-11-16_final
1995-03-31 10:20:43	ga_ls5t_ard_3-0-0_108083_1995-03-31_final
1995-04-18 10:06:49	ga_ls5t_ard_3-0-0_106081_1995-04-18_final
1995-04-27 09:57:51	ga_ls5t_ard_3-0-0_105075_1995-04-27_final
1995-06-27 09:25:21	ga_ls5t_ard_3-0-0_100078_1995-06-26_final
1995-12-08 10:36:22	ga_ls5t_ard_3-0-0_112083_1995-12-08_final
1996-03-27 09:17:50	ga_ls5t_ard_3-0-0_098084_1996-03-26_final
1996-04-04 10:06:35	ga_ls5t_ard_3-0-0_106081_1996-04-04_final
1997-02-05 09:16:36	ga_ls5t_ard_3-0-0_095086_1997-02-04_final
1997-04-29 09:46:18	ga_ls5t_ard_3-0-0_100075_1997-04-29_final
1997-05-28 09:20:48	ga_ls5t_ard_3-0-0_095086_1997-05-27_final
1998-04-09 09:52:50	ga_ls5t_ard_3-0-0_099084_1998-04-09_final
1998-05-31 09:29:17	ga_ls5t_ard_3-0-0_095085_1998-05-30_final
1998-06-19 09:55:13	ga_ls5t_ard_3-0-0_100072_1998-06-19_final
1999-05-10 10:18:01	ga_ls5t_ard_3-0-0_103081_1999-05-10_final
1999-05-15 09:00:23	ga_ls5t_ard_3-0-0_090088_1999-05-14_final
2003-07-02 09:15:01	ga_ls5t_ard_3-0-0_093084_2003-07-01_final
2004-07-20 09:22:27	ga_ls5t_ard_3-0-0_093087_2004-07-19_final
2005-04-23 09:39:44	ga_ls5t_ard_3-0-0_096072_2005-04-23_final
2005-04-29 10:42:46	ga_ls5t_ard_3-0-0_106075_2005-04-29_final
2005-09-04 10:45:42	ga_ls5t_ard_3-0-0_106080_2005-09-04_final
2006-02-15 10:19:00	ga_ls5t_ard_3-0-0_102069_2006-02-15_final
2006-04-09 10:41:23	ga_ls5t_ard_3-0-0_105076_2006-04-09_final
2006-07-04 10:06:23	ga_ls5t_ard_3-0-0_099078_2006-07-04_final
2006-09-16 10:43:37	ga_ls5t_ard_3-0-0_105076_2006-09-16_final
2007-03-08 10:13:03	ga_ls5t_ard_3-0-0_100074_2007-03-08_final
2008-02-04 11:16:28	ga_ls5t_ard_3-0-0_111073_2008-02-04_final
2008-02-16 10:03:41	ga_ls5t_ard_3-0-0_099077_2008-02-16_final
2008-10-23 10:33:38	ga_ls5t_ard_3-0-0_105076_2008-10-23_final
2009-12-13 09:06:42	ga_ls5t_ard_3-1-0_089089_2009-12-12_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