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

65 results

Time (local)	Label
1987-09-19 10:19:43	ga_ls5t_ard_3-0-0_106068_1987-09-19_final
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1988-11-25 11:09:03	ga_ls5t_ard_3-0-0_113074_1988-11-25_final
1989-01-26 09:39:53	ga_ls5t_ard_3-0-0_099069_1989-01-26_final
1989-03-19 10:52:21	ga_ls5t_ard_3-0-0_111067_1989-03-19_final
1989-05-25 09:45:17	ga_ls5t_ard_3-0-0_100071_1989-05-25_final
1989-08-16 10:16:05	ga_ls5t_ard_3-0-0_105075_1989-08-16_final
1989-12-02 10:38:46	ga_ls5t_ard_3-0-0_109077_1989-12-02_final
1989-12-22 10:09:52	ga_ls5t_ard_3-0-0_105068_1989-12-22_final
1990-04-12 09:27:31	ga_ls5t_ard_3-0-0_098078_1990-04-11_final
1990-09-04 08:31:09	ga_ls5t_ard_3-1-0_089077_1990-09-03_final
1990-10-13 08:37:06	ga_ls5t_ard_3-0-0_090077_1990-10-12_final
1990-11-14 10:13:53	ga_ls5t_ard_3-0-0_106072_1990-11-14_final
1990-12-08 09:26:37	ga_ls5t_ard_3-0-0_098078_1990-12-07_final
1991-03-21 09:31:51	ga_ls5t_ard_3-0-0_099070_1991-03-21_final
1991-04-28 10:39:50	ga_ls5t_ard_3-0-0_109084_1991-04-28_final
1991-11-10 08:35:55	ga_ls5t_ard_3-0-0_089078_1991-11-09_final
1991-12-03 10:22:01	ga_ls5t_ard_3-0-0_106080_1991-12-03_final
1991-12-09 09:43:23	ga_ls5t_ard_3-0-0_100076_1991-12-09_final
1991-12-18 09:37:29	ga_ls5t_ard_3-0-0_099077_1991-12-18_final
1992-11-09 09:38:02	ga_ls5t_ard_3-0-0_100071_1992-11-09_final
1993-01-12 09:40:54	ga_ls5t_ard_3-0-0_100077_1993-01-12_final
1993-03-03 09:26:13	ga_ls5t_ard_3-0-0_098070_1993-03-02_final
1993-04-01 10:36:20	ga_ls5t_ard_3-0-0_109075_1993-04-01_final
1993-04-07 10:01:40	ga_ls5t_ard_3-0-0_103081_1993-04-07_final
1993-04-20 09:32:07	ga_ls5t_ard_3-0-0_098084_1993-04-20_final
1993-10-23 08:28:52	ga_ls5t_ard_3-1-0_088081_1993-10-22_final
1994-03-30 08:38:16	ga_ls5t_ard_3-0-0_090078_1994-03-29_final
1994-07-13 08:29:55	ga_ls5t_ard_3-0-0_089078_1994-07-12_final
1994-07-31 09:57:32	ga_ls5t_ard_3-0-0_103082_1994-07-31_final
1994-10-03 09:55:29	ga_ls5t_ard_3-0-0_103081_1994-10-03_final
1994-10-15 10:17:02	ga_ls5t_ard_3-0-0_107074_1994-10-15_final
1994-10-27 10:40:57	ga_ls5t_ard_3-0-0_111073_1994-10-27_final
1994-12-13 08:20:52	ga_ls5t_ard_3-1-0_088082_1994-12-12_final
1995-01-30 08:19:09	ga_ls5t_ard_3-1-0_088082_1995-01-29_final
1995-07-21 08:38:25	ga_ls5t_ard_3-0-0_092087_1995-07-20_final
1995-10-17 09:20:22	ga_ls5t_ard_3-0-0_100079_1995-10-16_final
1996-03-24 08:48:20	ga_ls5t_ard_3-1-0_093088_1996-03-23_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1996-08-07 09:38:41	ga_ls5t_ard_3-0-0_101071_1996-08-07_final
1997-01-24 10:24:15	ga_ls5t_ard_3-0-0_107071_1997-01-24_final
1997-02-01 11:15:39	ga_ls5t_ard_3-0-0_115075_1997-02-01_final
1997-03-02 10:44:22	ga_ls5t_ard_3-0-0_110071_1997-03-02_final
1998-06-04 09:06:13	ga_ls5t_ard_3-0-0_091089_1998-06-03_final
1998-09-06 10:53:13	ga_ls5t_ard_3-0-0_109076_1998-09-06_final
1999-02-19 10:13:30	ga_ls5t_ard_3-0-0_103068_1999-02-19_final
2003-09-11 10:57:20	ga_ls5t_ard_3-0-0_110074_2003-09-11_final
2003-10-13 10:58:58	ga_ls5t_ard_3-0-0_110077_2003-10-13_final
2003-10-22 10:51:43	ga_ls5t_ard_3-0-0_109074_2003-10-22_final
2004-02-22 09:00:04	ga_ls5t_ard_3-0-0_090086_2004-02-21_final
2004-07-05 09:58:56	ga_ls5t_ard_3-0-0_100071_2004-07-05_final
2004-12-25 09:32:38	ga_ls5t_ard_3-0-0_095073_2004-12-25_final
2005-02-07 10:00:44	ga_ls5t_ard_3-0-0_099080_2005-02-07_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2006-01-21 10:29:23	ga_ls5t_ard_3-0-0_103081_2006-01-21_final
2006-07-22 09:50:41	ga_ls5t_ard_3-0-0_097069_2006-07-22_final
2006-09-27 10:24:00	ga_ls5t_ard_3-0-0_102073_2006-09-27_final
2007-02-07 10:44:46	ga_ls5t_ard_3-0-0_105076_2007-02-07_final
2007-05-27 10:11:17	ga_ls5t_ard_3-0-0_100071_2007-05-27_final
2008-12-27 11:16:50	ga_ls5t_ard_3-0-0_112074_2008-12-27_final
2009-01-18 09:07:01	ga_ls5t_ard_3-0-0_090088_2009-01-17_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2009-09-07 09:56:59	ga_ls5t_ard_3-0-0_098078_2009-09-07_final
2009-11-28 11:22:43	ga_ls5t_ard_3-0-0_112074_2009-11-28_final
2011-03-13 10:42:42	ga_ls5t_ard_3-0-0_106068_2011-03-13_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