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

61 results

Time (local)	Label
1987-09-12 08:41:17	ga_ls5t_ard_3-0-0_089085_1987-09-11_final
1987-09-16 09:54:21	ga_ls5t_ard_3-0-0_101082_1987-09-16_final
1988-02-11 09:33:07	ga_ls5t_ard_3-1-0_097084_1988-02-11_final
1988-04-13 09:40:25	ga_ls5t_ard_3-0-0_099070_1988-04-13_final
1989-07-04 10:38:45	ga_ls5t_ard_3-0-0_108083_1989-07-04_final
1989-09-18 10:58:04	ga_ls5t_ard_3-0-0_112074_1989-09-18_final
1989-10-10 10:18:37	ga_ls5t_ard_3-0-0_106069_1989-10-10_final
1990-02-23 09:25:24	ga_ls5t_ard_3-0-0_098070_1990-02-22_final
1990-04-23 09:07:03	ga_ls5t_ard_3-0-0_095073_1990-04-22_final
1990-06-13 09:39:04	ga_ls5t_ard_3-0-0_100076_1990-06-13_final
1991-06-12 10:08:24	ga_ls5t_ard_3-0-0_104081_1991-06-12_final
1991-07-28 08:45:21	ga_ls5t_ard_3-0-0_090088_1991-07-27_final
1991-09-07 10:11:14	ga_ls5t_ard_3-0-0_105070_1991-09-07_final
1991-10-01 10:59:37	ga_ls5t_ard_3-0-0_113067_1991-10-01_final
1991-11-30 09:51:28	ga_ls5t_ard_3-0-0_101081_1991-11-30_final
1992-02-13 09:28:16	ga_ls5t_ard_3-0-0_098070_1992-02-12_final
1993-02-23 10:14:45	ga_ls5t_ard_3-0-0_106068_1993-02-23_final
1993-05-19 10:39:49	ga_ls5t_ard_3-0-0_109083_1993-05-19_final
1993-05-30 08:43:14	ga_ls5t_ard_3-0-0_090085_1993-05-29_final
1993-06-12 09:50:01	ga_ls5t_ard_3-0-0_101082_1993-06-12_final
1993-06-25 09:15:03	ga_ls5t_ard_3-0-0_096072_1993-06-24_final
1993-08-31 09:45:27	ga_ls5t_ard_3-0-0_101071_1993-08-31_final
1993-11-30 09:31:37	ga_ls5t_ard_3-0-0_098084_1993-11-30_final
1993-12-11 10:47:31	ga_ls5t_ard_3-0-0_111073_1993-12-11_final
1994-03-15 09:24:10	ga_ls5t_ard_3-0-0_097084_1994-03-14_final
1994-04-01 08:27:04	ga_ls5t_ard_3-1-0_088081_1994-03-31_final
1994-06-29 09:58:01	ga_ls5t_ard_3-0-0_103081_1994-06-29_final
1994-09-30 09:20:41	ga_ls5t_ard_3-0-0_098071_1994-09-29_final
1995-04-03 09:08:37	ga_ls5t_ard_3-0-0_097073_1995-04-02_final
1995-09-17 10:48:29	ga_ls5t_ard_3-0-0_114079_1995-09-17_final
1995-11-12 08:20:32	ga_ls5t_ard_3-0-0_090086_1995-11-11_final
1998-07-22 09:04:22	ga_ls5t_ard_3-0-0_091083_1998-07-21_final
1998-11-13 10:26:02	ga_ls5t_ard_3-0-0_105069_1998-11-13_final
1999-01-26 09:25:50	ga_ls5t_ard_3-0-0_095073_1999-01-25_final
1999-02-05 10:06:36	ga_ls5t_ard_3-0-0_101082_1999-02-05_final
1999-11-22 09:46:33	ga_ls5t_ard_3-0-0_099072_1999-11-22_final
2004-01-16 10:18:12	ga_ls5t_ard_3-0-0_103081_2004-01-16_final
2004-08-14 10:50:54	ga_ls5t_ard_3-0-0_108075_2004-08-14_final
2004-12-23 09:44:35	ga_ls5t_ard_3-0-0_097072_2004-12-23_final
2005-07-31 10:11:00	ga_ls5t_ard_3-0-0_101071_2005-07-31_final
2006-02-07 11:09:28	ga_ls5t_ard_3-0-0_110072_2006-02-07_final
2006-06-07 10:26:07	ga_ls5t_ard_3-0-0_102082_2006-06-07_final
2006-09-14 09:21:28	ga_ls5t_ard_3-0-0_091087_2006-09-13_final
2006-10-17 09:58:18	ga_ls5t_ard_3-0-0_098070_2006-10-17_final
2006-10-31 10:15:59	ga_ls5t_ard_3-0-0_100083_2006-10-31_final
2007-02-06 10:01:54	ga_ls5t_ard_3-0-0_098077_2007-02-06_final
2007-03-21 11:20:36	ga_ls5t_ard_3-0-0_111073_2007-03-21_final
2007-04-17 09:28:38	ga_ls5t_ard_3-0-0_092087_2007-04-16_final
2007-04-18 10:05:06	ga_ls5t_ard_3-0-0_099070_2007-04-18_final
2007-06-16 09:47:01	ga_ls5t_ard_3-0-0_096073_2007-06-16_final
2008-03-04 09:12:08	ga_ls5t_ard_3-0-0_090088_2008-03-03_final
2008-10-03 11:02:12	ga_ls5t_ard_3-0-0_109084_2008-10-03_final
2008-11-14 09:56:21	ga_ls5t_ard_3-0-0_099077_2008-11-14_final
2009-01-17 09:55:02	ga_ls5t_ard_3-0-0_099069_2009-01-17_final
2009-01-19 11:24:48	ga_ls5t_ard_3-0-0_113077_2009-01-19_final
2009-02-11 09:49:31	ga_ls5t_ard_3-0-0_098069_2009-02-11_final
2009-06-26 09:59:14	ga_ls5t_ard_3-0-0_099071_2009-06-26_final
2009-09-07 09:58:59	ga_ls5t_ard_3-0-0_098083_2009-09-07_final
2010-04-25 09:24:17	ga_ls5t_ard_3-0-0_092086_2010-04-24_final
2011-02-08 10:05:53	ga_ls5t_ard_3-0-0_099084_2011-02-08_final
2011-07-27 09:55:57	ga_ls5t_ard_3-0-0_098077_2011-07-27_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

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