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

59 results

Time (local)	Label
1987-12-15 10:29:54	ga_ls5t_ard_3-0-0_107074_1987-12-15_final
1988-01-25 08:50:20	ga_ls5t_ard_3-0-0_090086_1988-01-24_final
1988-10-17 11:02:50	ga_ls5t_ard_3-0-0_112074_1988-10-17_final
1988-12-06 09:16:18	ga_ls5t_ard_3-0-0_094086_1988-12-05_final
1989-04-17 10:23:01	ga_ls5t_ard_3-0-0_106071_1989-04-17_final
1989-07-25 10:52:28	ga_ls5t_ard_3-0-0_111072_1989-07-25_final
1990-02-11 10:45:32	ga_ls5t_ard_3-0-0_110084_1990-02-11_final
1990-03-15 10:40:52	ga_ls5t_ard_3-0-0_110075_1990-03-15_final
1990-03-18 09:33:35	ga_ls5t_ard_3-0-0_099077_1990-03-18_final
1990-07-22 09:47:08	ga_ls5t_ard_3-0-0_101081_1990-07-22_final
1991-01-24 10:22:38	ga_ls5t_ard_3-0-0_107076_1991-01-24_final
1991-03-14 09:31:05	ga_ls5t_ard_3-0-0_098084_1991-03-14_final
1991-09-11 09:48:32	ga_ls5t_ard_3-0-0_101075_1991-09-11_final
1991-09-20 09:40:52	ga_ls5t_ard_3-0-0_100071_1991-09-20_final
1991-09-23 10:13:21	ga_ls5t_ard_3-0-0_105075_1991-09-23_final
1991-10-06 09:46:07	ga_ls5t_ard_3-1-0_100084_1991-10-06_final
1991-11-18 11:06:15	ga_ls5t_ard_3-0-0_113083_1991-11-18_final
1991-12-08 10:38:12	ga_ls5t_ard_3-0-0_109074_1991-12-08_final
1992-06-02 09:40:50	ga_ls5t_ard_3-0-0_100072_1992-06-02_final
1992-12-16 09:57:32	ga_ls5t_ard_3-0-0_103073_1992-12-16_final
1993-02-22 11:12:46	ga_ls5t_ard_3-0-0_115074_1993-02-22_final
1993-05-08 10:58:43	ga_ls5t_ard_3-0-0_112084_1993-05-08_final
1994-05-09 09:23:47	ga_ls5t_ard_3-0-0_098070_1994-05-08_final
1994-11-02 08:29:33	ga_ls5t_ard_3-0-0_089085_1994-11-01_final
1994-11-12 10:41:35	ga_ls5t_ard_3-0-0_111076_1994-11-12_final
1995-10-14 08:50:50	ga_ls5t_ard_3-0-0_095082_1995-10-13_final
1996-11-12 08:49:42	ga_ls5t_ard_3-0-0_092075_1996-11-11_final
1996-12-25 08:36:00	ga_ls5t_ard_3-0-0_089082_1996-12-24_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-08-18 09:03:37	ga_ls5t_ard_3-0-0_093067_1997-08-17_final
1997-10-09 08:47:11	ga_ls5t_ard_3-0-0_089084_1997-10-08_final
1998-03-05 10:55:31	ga_ls5t_ard_3-0-0_110072_1998-03-05_final
1999-04-17 10:06:48	ga_ls5t_ard_3-0-0_102068_1999-04-17_final
2003-08-10 11:00:46	ga_ls5t_ard_3-0-0_110084_2003-08-10_final
2003-11-27 10:25:05	ga_ls5t_ard_3-0-0_105068_2003-11-27_final
2003-12-16 10:58:53	ga_ls5t_ard_3-0-0_110075_2003-12-16_final
2004-03-08 09:52:34	ga_ls5t_ard_3-0-0_099078_2004-03-08_final
2004-05-26 09:09:54	ga_ls5t_ard_3-0-0_092075_2004-05-25_final
2004-12-21 09:56:54	ga_ls5t_ard_3-0-0_099072_2004-12-21_final
2004-12-29 10:50:27	ga_ls5t_ard_3-0-0_107082_2004-12-29_final
2005-01-07 09:06:18	ga_ls5t_ard_3-0-0_090084_2005-01-06_final
2005-04-09 11:07:00	ga_ls5t_ard_3-0-0_110074_2005-04-09_final
2005-05-09 11:19:31	ga_ls5t_ard_3-0-0_112074_2005-05-09_final
2005-06-14 09:21:48	ga_ls5t_ard_3-0-0_092088_2005-06-13_final
2005-06-21 11:01:19	ga_ls5t_ard_3-0-0_109074_2005-06-21_final
2005-07-25 09:15:07	ga_ls5t_ard_3-0-0_091086_2005-07-24_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2006-02-07 11:09:51	ga_ls5t_ard_3-0-0_110073_2006-02-07_final
2006-08-01 10:30:41	ga_ls5t_ard_3-0-0_103076_2006-08-01_final
2006-10-02 10:43:24	ga_ls5t_ard_3-0-0_105075_2006-10-02_final
2006-12-11 10:08:10	ga_ls5t_ard_3-0-0_099078_2006-12-11_final
2007-01-02 09:26:51	ga_ls5t_ard_3-0-0_093067_2007-01-01_final
2008-04-06 11:30:23	ga_ls5t_ard_3-0-0_113080_2008-04-06_final
2009-01-11 10:31:34	ga_ls5t_ard_3-0-0_105068_2009-01-11_final
2009-04-21 10:11:59	ga_ls5t_ard_3-0-0_101075_2009-04-21_final
2009-12-18 11:00:58	ga_ls5t_ard_3-0-0_108081_2009-12-18_final
2011-02-03 09:46:56	ga_ls5t_ard_3-0-0_096083_2011-02-03_final
2011-02-09 10:43:10	ga_ls5t_ard_3-0-0_106069_2011-02-09_final
2011-09-10 11:02:42	ga_ls5t_ard_3-0-0_109075_2011-09-10_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