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

66 results

Time (local)	Label
1987-05-28 08:58:00	ga_ls5t_ard_3-0-0_092087_1987-05-27_final
1987-05-29 09:40:05	ga_ls5t_ard_3-0-0_099084_1987-05-29_final
1987-09-14 10:02:16	ga_ls5t_ard_3-0-0_103071_1987-09-14_final
1987-11-12 09:44:55	ga_ls5t_ard_3-0-0_100071_1987-11-12_final
1988-03-06 10:19:14	ga_ls5t_ard_3-0-0_105075_1988-03-06_final
1988-07-18 11:22:18	ga_ls5t_ard_3-0-0_115076_1988-07-18_final
1988-07-26 08:58:47	ga_ls5t_ard_3-0-0_091088_1988-07-25_final
1988-09-15 09:28:07	ga_ls5t_ard_3-0-0_096084_1988-09-14_final
1988-09-28 08:58:43	ga_ls5t_ard_3-0-0_091088_1988-09-27_final
1988-10-26 10:56:14	ga_ls5t_ard_3-0-0_111073_1988-10-26_final
1989-01-07 10:54:12	ga_ls5t_ard_3-0-0_110084_1989-01-07_final
1989-02-26 10:36:59	ga_ls5t_ard_3-0-0_108073_1989-02-26_final
1989-10-02 09:30:38	ga_ls5t_ard_3-0-0_098072_1989-10-02_final
1990-03-08 10:34:54	ga_ls5t_ard_3-0-0_109075_1990-03-08_final
1990-12-08 09:23:49	ga_ls5t_ard_3-0-0_098071_1990-12-07_final
1990-12-28 10:39:11	ga_ls5t_ard_3-0-0_110073_1990-12-28_final
1991-03-04 10:31:04	ga_ls5t_ard_3-0-0_108080_1991-03-04_final
1991-03-16 10:50:50	ga_ls5t_ard_3-1-0_112067_1991-03-16_final
1991-11-01 10:21:42	ga_ls5t_ard_3-0-0_106080_1991-11-01_final
1992-02-23 10:05:01	ga_ls5t_ard_3-0-0_104069_1992-02-23_final
1992-08-02 09:07:11	ga_ls5t_ard_3-0-0_095067_1992-08-01_final
1992-11-26 08:47:30	ga_ls5t_ard_3-0-0_091084_1992-11-25_final
1992-11-28 08:35:59	ga_ls5t_ard_3-0-0_089086_1992-11-27_final
1993-01-16 10:53:55	ga_ls5t_ard_3-0-0_112074_1993-01-16_final
1993-05-23 08:33:50	ga_ls5t_ard_3-1-0_089077_1993-05-22_final
1993-08-12 10:58:15	ga_ls5t_ard_3-0-0_112083_1993-08-12_final
1994-03-03 09:00:49	ga_ls5t_ard_3-0-0_093087_1994-03-02_final
1994-11-14 08:51:52	ga_ls5t_ard_3-0-0_093080_1994-11-13_final
1994-12-18 08:41:38	ga_ls5t_ard_3-0-0_091088_1994-12-17_final
1995-08-26 09:43:46	ga_ls5t_ard_3-0-0_104069_1995-08-26_final
1995-12-22 09:06:05	ga_ls5t_ard_3-0-0_098071_1995-12-21_final
1996-03-01 08:35:29	ga_ls5t_ard_3-0-0_092075_1996-02-29_final
1996-08-29 09:03:10	ga_ls5t_ard_3-0-0_095072_1996-08-28_final
1996-11-15 09:22:44	ga_ls5t_ard_3-0-0_097080_1996-11-14_final
1997-05-24 09:42:12	ga_ls5t_ard_3-0-0_099078_1997-05-24_final
1998-02-28 09:04:00	ga_ls5t_ard_3-0-0_091087_1998-02-27_final
1998-06-22 08:51:15	ga_ls5t_ard_3-0-0_089082_1998-06-21_final
1998-06-22 10:30:08	ga_ls5t_ard_3-0-0_105082_1998-06-22_final
1998-06-28 11:30:26	ga_ls5t_ard_3-0-0_115078_1998-06-28_final
1998-11-16 09:24:51	ga_ls5t_ard_3-0-0_094086_1998-11-15_final
1999-02-18 09:31:50	ga_ls5t_ard_3-0-0_096072_1999-02-18_final
1999-02-24 10:35:13	ga_ls5t_ard_3-0-0_106076_1999-02-24_final
1999-08-02 09:48:50	ga_ls5t_ard_3-0-0_099072_1999-08-02_final
1999-11-29 09:54:32	ga_ls5t_ard_3-0-0_100077_1999-11-29_final
2003-10-10 10:27:38	ga_ls5t_ard_3-0-0_105076_2003-10-10_final
2003-11-03 09:37:35	ga_ls5t_ard_3-0-0_097074_2003-11-03_final
2003-12-12 09:48:16	ga_ls5t_ard_3-0-0_098084_2003-12-12_final
2004-05-08 11:00:38	ga_ls5t_ard_3-0-0_110075_2004-05-08_final
2004-05-24 11:00:17	ga_ls5t_ard_3-0-0_110073_2004-05-24_final
2004-06-22 10:29:51	ga_ls5t_ard_3-0-0_105072_2004-06-22_final
2004-08-21 10:56:53	ga_ls5t_ard_3-0-0_109074_2004-08-21_final
2004-09-01 09:03:21	ga_ls5t_ard_3-0-0_090083_2004-08-31_final
2004-10-08 10:58:51	ga_ls5t_ard_3-0-0_109076_2004-10-08_final
2004-11-05 09:46:05	ga_ls5t_ard_3-0-0_097078_2004-11-05_final
2005-05-14 10:01:12	ga_ls5t_ard_3-0-0_099079_2005-05-14_final
2006-06-22 11:18:22	ga_ls5t_ard_3-0-0_111073_2006-06-22_final
2006-07-11 10:12:16	ga_ls5t_ard_3-0-0_100077_2006-07-11_final
2006-07-22 09:54:40	ga_ls5t_ard_3-0-0_097079_2006-07-22_final
2006-12-11 11:47:03	ga_ls5t_ard_3-0-0_115078_2006-12-11_final
2007-06-30 10:03:30	ga_ls5t_ard_3-0-0_098084_2007-06-30_final
2007-07-15 09:18:32	ga_ls5t_ard_3-1-0_091080_2007-07-14_final
2007-10-05 10:42:18	ga_ls5t_ard_3-0-0_105075_2007-10-05_final
2008-11-08 10:29:52	ga_ls5t_ard_3-1-0_105069_2008-11-08_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2009-04-19 10:27:06	ga_ls5t_ard_3-0-0_103082_2009-04-19_final
2010-01-15 11:23:04	ga_ls5t_ard_3-0-0_112074_2010-01-15_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