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

47 results

Time (local)	Label
1988-02-16 09:48:56	ga_ls5t_ard_3-0-0_100077_1988-02-16_final
1988-05-15 11:22:23	ga_ls5t_ard_3-0-0_115077_1988-05-15_final
1988-08-30 09:21:23	ga_ls5t_ard_3-0-0_096067_1988-08-29_final
1988-10-01 11:06:54	ga_ls5t_ard_3-0-0_112084_1988-10-01_final
1989-01-02 08:56:00	ga_ls5t_ard_3-0-0_091082_1989-01-01_final
1989-01-17 09:49:24	ga_ls5t_ard_3-0-0_100077_1989-01-17_final
1989-05-01 10:36:20	ga_ls5t_ard_3-0-0_108074_1989-05-01_final
1989-09-23 09:34:52	ga_ls5t_ard_3-0-0_099067_1989-09-23_final
1990-07-24 09:31:35	ga_ls5t_ard_3-0-0_099073_1990-07-24_final
1990-10-20 08:47:36	ga_ls5t_ard_3-0-0_091088_1990-10-19_final
1991-02-21 09:05:20	ga_ls5t_ard_3-0-0_095067_1991-02-20_final
1992-07-13 09:36:09	ga_ls5t_ard_3-0-0_099077_1992-07-13_final
1992-09-25 10:14:06	ga_ls5t_ard_3-1-0_105082_1992-09-25_final
1993-07-27 09:12:58	ga_ls5t_ard_3-0-0_096067_1993-07-26_final
1993-08-28 09:12:57	ga_ls5t_ard_3-0-0_096067_1993-08-27_final
1993-09-29 09:12:53	ga_ls5t_ard_3-0-0_096067_1993-09-28_final
1994-01-03 10:57:51	ga_ls5t_ard_3-0-0_112084_1994-01-03_final
1994-08-04 09:31:30	ga_ls5t_ard_3-0-0_099079_1994-08-04_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1995-03-20 08:54:26	ga_ls5t_ard_3-0-0_095067_1995-03-19_final
1995-09-23 10:09:06	ga_ls5t_ard_3-0-0_108074_1995-09-23_final
1996-02-22 09:25:11	ga_ls5t_ard_3-0-0_100077_1996-02-21_final
1996-06-22 11:05:10	ga_ls5t_ard_3-0-0_115077_1996-06-22_final
1996-06-28 10:27:13	ga_ls5t_ard_3-0-0_109074_1996-06-28_final
1996-09-25 08:46:55	ga_ls5t_ard_3-1-0_092074_1996-09-24_final
1997-08-27 10:39:24	ga_ls5t_ard_3-0-0_108074_1997-08-27_final
1998-05-26 10:45:09	ga_ls5t_ard_3-0-0_108074_1998-05-26_final
1998-07-04 09:13:21	ga_ls5t_ard_3-0-0_093075_1998-07-03_final
1998-09-04 09:23:05	ga_ls5t_ard_3-0-0_095067_1998-09-03_final
1999-02-14 09:58:32	ga_ls5t_ard_3-0-0_100077_1999-02-14_final
1999-03-02 09:58:30	ga_ls5t_ard_3-0-0_100077_1999-03-02_final
1999-03-26 10:46:22	ga_ls5t_ard_3-0-0_108074_1999-03-26_final
1999-05-29 10:45:41	ga_ls5t_ard_3-0-0_108074_1999-05-29_final
2003-07-04 10:37:59	ga_ls5t_ard_3-0-0_107075_2003-07-04_final
2003-08-14 10:32:31	ga_ls5t_ard_3-0-0_106075_2003-08-14_final
2003-09-25 09:28:13	ga_ls5t_ard_3-0-0_096067_2003-09-24_final
2003-10-17 10:33:30	ga_ls5t_ard_3-0-0_106075_2003-10-17_final
2003-11-09 10:39:52	ga_ls5t_ard_3-0-0_107075_2003-11-09_final
2004-10-27 09:54:28	ga_ls5t_ard_3-0-0_098084_2004-10-27_final
2006-07-17 11:10:10	ga_ls5t_ard_3-0-0_110067_2006-07-17_final
2007-04-09 10:14:08	ga_ls5t_ard_3-0-0_100077_2007-04-09_final
2008-01-19 11:16:45	ga_ls5t_ard_3-0-0_111073_2008-01-19_final
2008-03-14 09:40:38	ga_ls5t_ard_3-0-0_096067_2008-03-14_final
2008-07-20 09:37:17	ga_ls5t_ard_3-0-0_096067_2008-07-20_final
2009-05-04 09:38:08	ga_ls5t_ard_3-0-0_096067_2009-05-04_final
2010-01-11 10:10:04	ga_ls5t_ard_3-0-0_100077_2010-01-11_final
2010-09-19 09:48:32	ga_ls5t_ard_3-0-0_097071_2010-09-19_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