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

56 results

Time (local)	Label
1988-03-16 10:58:24	ga_ls5t_ard_3-0-0_111080_1988-03-16_final
1988-03-27 10:37:58	ga_ls5t_ard_3-0-0_108075_1988-03-27_final
1989-05-02 09:39:07	ga_ls5t_ard_3-0-0_099070_1989-05-02_final
1989-05-11 09:32:46	ga_ls5t_ard_3-0-0_098070_1989-05-11_final
1989-06-26 09:47:02	ga_ls5t_ard_3-0-0_100077_1989-06-26_final
1989-10-08 08:56:59	ga_ls5t_ard_3-0-0_092081_1989-10-07_final
1989-11-05 09:21:13	ga_ls5t_ard_3-0-0_096082_1989-11-04_final
1989-12-23 09:13:50	ga_ls5t_ard_3-0-0_096067_1989-12-22_final
1990-04-28 09:29:29	ga_ls5t_ard_3-0-0_098083_1990-04-27_final
1990-09-03 09:23:11	ga_ls5t_ard_3-0-0_098068_1990-09-02_final
1991-01-13 09:01:59	ga_ls5t_ard_3-0-0_094076_1991-01-12_final
1991-03-10 09:54:32	ga_ls5t_ard_3-0-0_102081_1991-03-10_final
1991-04-22 11:14:00	ga_ls5t_ard_3-0-0_115077_1991-04-22_final
1991-08-02 09:03:54	ga_ls5t_ard_3-1-0_093088_1991-08-01_final
1991-12-17 10:31:56	ga_ls5t_ard_3-0-0_108074_1991-12-17_final
1993-02-24 09:23:55	ga_ls5t_ard_3-0-0_097080_1993-02-23_final
1993-05-08 09:13:02	ga_ls5t_ard_3-0-0_096067_1993-05-07_final
1993-07-31 10:29:55	ga_ls5t_ard_3-0-0_108074_1993-07-31_final
1993-09-07 09:55:37	ga_ls5t_ard_3-0-0_102081_1993-09-07_final
1993-10-13 09:32:21	ga_ls5t_ard_3-0-0_098085_1993-10-13_final
1993-10-27 09:41:25	ga_ls5t_ard_3-0-0_100077_1993-10-27_final
1993-11-16 09:12:31	ga_ls5t_ard_3-0-0_096067_1993-11-15_final
1993-12-24 10:16:54	ga_ls5t_ard_3-0-0_106074_1993-12-24_final
1994-03-22 09:24:39	ga_ls5t_ard_3-0-0_098070_1994-03-21_final
1994-07-04 08:40:44	ga_ls5t_ard_3-0-0_090089_1994-07-03_final
1994-08-25 09:45:57	ga_ls5t_ard_3-0-0_102070_1994-08-25_final
1995-02-23 09:01:38	ga_ls5t_ard_3-0-0_096067_1995-02-22_final
1995-05-11 10:09:34	ga_ls5t_ard_3-0-0_107075_1995-05-11_final
1996-03-20 09:05:14	ga_ls5t_ard_3-1-0_097069_1996-03-19_final
1996-05-11 09:30:12	ga_ls5t_ard_3-1-0_100077_1996-05-11_final
1996-07-02 08:27:00	ga_ls5t_ard_3-0-0_089082_1996-07-01_final
1996-08-25 11:08:33	ga_ls5t_ard_3-0-0_115077_1996-08-25_final
1996-08-26 08:38:29	ga_ls5t_ard_3-0-0_090088_1996-08-25_final
1996-11-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1996-11-12_final
1997-02-25 10:27:13	ga_ls5t_ard_3-0-0_107075_1997-02-25_final
1997-03-20 09:00:12	ga_ls5t_ard_3-0-0_092087_1997-03-19_final
1997-08-11 10:38:54	ga_ls5t_ard_3-0-0_108074_1997-08-11_final
1997-09-07 08:46:41	ga_ls5t_ard_3-0-0_089085_1997-09-06_final
1997-12-19 10:28:50	ga_ls5t_ard_3-0-0_106071_1997-12-19_final
1998-06-09 10:58:07	ga_ls5t_ard_3-0-0_110075_1998-06-09_final
1999-02-18 09:36:38	ga_ls5t_ard_3-1-0_096084_1999-02-18_final
1999-02-24 10:33:14	ga_ls5t_ard_3-0-0_106071_1999-02-24_final
1999-09-02 10:44:43	ga_ls5t_ard_3-0-0_108074_1999-09-02_final
1999-09-30 09:27:06	ga_ls5t_ard_3-0-0_096067_1999-09-29_final
1999-12-19 09:25:42	ga_ls5t_ard_3-0-0_096067_1999-12-18_final
2003-07-18 10:50:59	ga_ls5t_ard_3-0-0_109076_2003-07-18_final
2003-11-09 10:39:52	ga_ls5t_ard_3-0-0_107075_2003-11-09_final
2004-04-13 11:08:54	ga_ls5t_ard_3-0-0_111082_2004-04-13_final
2004-05-03 10:41:56	ga_ls5t_ard_3-0-0_107075_2004-05-03_final
2004-08-08 11:24:38	ga_ls5t_ard_3-1-0_114067_2004-08-08_final
2004-09-01 09:03:21	ga_ls5t_ard_3-0-0_090083_2004-08-31_final
2005-05-04 11:00:57	ga_ls5t_ard_3-0-0_109074_2005-05-04_final
2007-04-27 11:40:56	ga_ls5t_ard_3-0-0_114078_2007-04-27_final
2008-02-17 10:44:33	ga_ls5t_ard_3-0-0_106071_2008-02-17_final
2008-12-23 10:04:09	ga_ls5t_ard_3-0-0_100078_2008-12-23_final
2010-12-28 11:02:01	ga_ls5t_ard_3-0-0_109070_2010-12-28_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