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

68 results

Time (local)	Label
1987-12-06 09:01:51	ga_ls5t_ard_3-0-0_092086_1987-12-05_final
1988-02-18 09:36:36	ga_ls5t_ard_3-0-0_098077_1988-02-18_final
1988-03-09 09:10:29	ga_ls5t_ard_3-0-0_094073_1988-03-08_final
1988-11-08 10:23:23	ga_ls5t_ard_3-0-0_106068_1988-11-08_final
1988-11-09 09:34:09	ga_ls5t_ard_3-1-0_097084_1988-11-09_final
1988-11-12 10:03:50	ga_ls5t_ard_3-0-0_102081_1988-11-12_final
1989-03-01 11:11:25	ga_ls5t_ard_3-0-0_113082_1989-03-01_final
1989-05-11 09:36:22	ga_ls5t_ard_3-0-0_098079_1989-05-11_final
1989-07-24 08:34:20	ga_ls5t_ard_3-0-0_088082_1989-07-23_final
1990-02-17 08:28:34	ga_ls5t_ard_3-0-0_088082_1990-02-16_final
1990-10-06 08:33:16	ga_ls5t_ard_3-0-0_089083_1990-10-05_final
1991-01-09 09:27:22	ga_ls5t_ard_3-0-0_098078_1991-01-08_final
1991-05-18 10:13:27	ga_ls5t_ard_3-0-0_105079_1991-05-18_final
1991-06-02 09:29:39	ga_ls5t_ard_3-0-0_098077_1991-06-01_final
1991-11-12 10:04:02	ga_ls5t_ard_3-0-0_103082_1991-11-12_final
1991-12-04 11:04:06	ga_ls5t_ard_3-0-0_113077_1991-12-04_final
1992-01-23 09:11:04	ga_ls5t_ard_3-0-0_095073_1992-01-22_final
1992-05-10 09:34:51	ga_ls5t_ard_3-0-0_099072_1992-05-10_final
1992-06-26 08:57:54	ga_ls5t_ard_3-0-0_092089_1992-06-25_final
1992-07-27 09:48:19	ga_ls5t_ard_3-0-0_101077_1992-07-27_final
1992-12-08 09:08:02	ga_ls5t_ard_3-0-0_095073_1992-12-07_final
1994-01-22 09:46:46	ga_ls5t_ard_3-0-0_101077_1994-01-22_final
1994-04-14 09:34:00	ga_ls5t_ard_3-0-0_099079_1994-04-14_final
1994-08-13 09:24:43	ga_ls5t_ard_3-0-0_098078_1994-08-12_final
1994-09-30 09:20:17	ga_ls5t_ard_3-0-0_098070_1994-09-29_final
1995-01-26 10:19:43	ga_ls5t_ard_3-0-0_108074_1995-01-26_final
1995-09-18 08:14:20	ga_ls5t_ard_3-0-0_089080_1995-09-17_final
1995-12-13 09:11:12	ga_ls5t_ard_3-0-0_099070_1995-12-12_final
1995-12-14 08:18:27	ga_ls5t_ard_3-0-0_090077_1995-12-13_final
1996-02-02 08:11:39	ga_ls5t_ard_3-0-0_088082_1996-02-01_final
1996-02-11 09:44:35	ga_ls5t_ard_3-0-0_103081_1996-02-11_final
1996-03-15 08:52:45	ga_ls5t_ard_3-0-0_094085_1996-03-14_final
1996-11-23 08:32:52	ga_ls5t_ard_3-0-0_089078_1996-11-22_final
1996-11-26 10:41:36	ga_ls5t_ard_3-0-0_110075_1996-11-26_final
1997-04-06 11:18:59	ga_ls5t_ard_3-0-0_115077_1997-04-06_final
1997-04-08 09:25:25	ga_ls5t_ard_3-0-0_097071_1997-04-07_final
1997-10-09 08:47:35	ga_ls5t_ard_3-0-0_089085_1997-10-08_final
1997-12-06 09:21:21	ga_ls5t_ard_3-0-0_095073_1997-12-05_final
1998-08-18 08:45:37	ga_ls5t_ard_3-1-0_088082_1998-08-17_final
1999-01-19 09:23:37	ga_ls5t_ard_3-0-0_094083_1999-01-18_final
1999-04-17 10:06:48	ga_ls5t_ard_3-0-0_102068_1999-04-17_final
1999-05-20 10:52:53	ga_ls5t_ard_3-0-0_109076_1999-05-20_final
1999-07-26 11:23:57	ga_ls5t_ard_3-0-0_114078_1999-07-26_final
2003-09-18 11:03:14	ga_ls5t_ard_3-0-0_111073_2003-09-18_final
2004-02-24 10:25:00	ga_ls5t_ard_3-1-0_104082_2004-02-24_final
2004-06-12 09:51:17	ga_ls5t_ard_3-0-0_099069_2004-06-12_final
2004-07-27 09:28:24	ga_ls5t_ard_3-0-0_094086_2004-07-26_final
2004-07-30 09:52:58	ga_ls5t_ard_3-0-0_099070_2004-07-30_final
2004-07-30 11:34:39	ga_ls5t_ard_3-0-0_115077_2004-07-30_final
2004-09-16 09:57:46	ga_ls5t_ard_3-0-0_099079_2004-09-16_final
2005-05-24 10:37:10	ga_ls5t_ard_3-0-0_105076_2005-05-24_final
2005-10-18 11:07:09	ga_ls5t_ard_3-0-0_110072_2005-10-18_final
2006-01-25 11:41:15	ga_ls5t_ard_3-0-0_115075_2006-01-25_final
2006-05-01 10:05:03	ga_ls5t_ard_3-0-0_099077_2006-05-01_final
2006-10-17 10:01:30	ga_ls5t_ard_3-0-0_098078_2006-10-17_final
2006-10-24 10:04:33	ga_ls5t_ard_3-0-0_099070_2006-10-24_final
2006-12-21 09:06:26	ga_ls5t_ard_3-0-0_089078_2006-12-20_final
2007-05-04 10:08:34	ga_ls5t_ard_3-0-0_099079_2007-05-04_final
2007-05-20 10:05:12	ga_ls5t_ard_3-0-0_099071_2007-05-20_final
2007-06-14 09:58:13	ga_ls5t_ard_3-0-0_098070_2007-06-14_final
2009-02-27 09:56:18	ga_ls5t_ard_3-0-0_098085_2009-02-27_final
2009-10-21 10:18:37	ga_ls5t_ard_3-0-0_102069_2009-10-21_final
2009-10-26 10:36:49	ga_ls5t_ard_3-0-0_105068_2009-10-26_final
2009-11-07 11:04:49	ga_ls5t_ard_3-0-0_109076_2009-11-07_final
2010-11-28 09:18:16	ga_ls5t_ard_3-0-0_091089_2010-11-27_final
2011-03-13 10:42:42	ga_ls5t_ard_3-0-0_106068_2011-03-13_final
2011-10-13 10:07:20	ga_ls5t_ard_3-0-0_100077_2011-10-13_final
2011-11-11 11:13:40	ga_ls5t_ard_3-0-0_111074_2011-11-11_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