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
1987-05-29 11:15:47	ga_ls5t_ard_3-0-0_115076_1987-05-29_final
1987-10-05 08:49:10	ga_ls5t_ard_3-0-0_090088_1987-10-04_final
1987-10-07 08:34:27	ga_ls5t_ard_3-0-0_088082_1987-10-06_final
1988-01-08 11:21:20	ga_ls5t_ard_3-0-0_115078_1988-01-08_final
1988-08-29 10:19:24	ga_ls5t_ard_3-0-0_105073_1988-08-29_final
1988-10-30 10:31:57	ga_ls5t_ard_3-0-0_107074_1988-10-30_final
1988-11-29 09:07:49	ga_ls5t_ard_3-0-0_093080_1988-11-28_final
1989-01-11 08:51:19	ga_ls5t_ard_3-0-0_090086_1989-01-10_final
1989-04-24 10:30:38	ga_ls5t_ard_3-0-0_107075_1989-04-24_final
1989-05-05 08:35:29	ga_ls5t_ard_3-1-0_088081_1989-05-04_final
1989-12-04 10:25:33	ga_ls5t_ard_3-0-0_107075_1989-12-04_final
1990-05-09 10:45:54	ga_ls5t_ard_3-0-0_111073_1990-05-09_final
1990-09-21 10:49:15	ga_ls5t_ard_3-0-0_112067_1990-09-21_final
1991-03-20 10:31:50	ga_ls5t_ard_3-0-0_108081_1991-03-20_final
1991-03-27 10:35:18	ga_ls5t_ard_3-0-0_109074_1991-03-27_final
1991-04-22 11:14:00	ga_ls5t_ard_3-0-0_115077_1991-04-22_final
1991-11-26 10:14:06	ga_ls5t_ard_3-0-0_105076_1991-11-26_final
1991-12-22 10:50:01	ga_ls5t_ard_3-0-0_111073_1991-12-22_final
1992-02-05 08:45:20	ga_ls5t_ard_3-0-0_090086_1992-02-04_final
1992-07-19 10:36:41	ga_ls5t_ard_3-0-0_109074_1992-07-19_final
1992-12-28 08:48:41	ga_ls5t_ard_3-0-0_091086_1992-12-27_final
1993-06-04 10:36:41	ga_ls5t_ard_3-0-0_109075_1993-06-04_final
1993-11-20 08:55:21	ga_ls5t_ard_3-0-0_092086_1993-11-19_final
1994-03-21 10:22:17	ga_ls5t_ard_3-0-0_107075_1994-03-21_final
1994-04-04 10:34:00	ga_ls5t_ard_3-0-0_109074_1994-04-04_final
1994-04-23 09:27:40	ga_ls5t_ard_3-0-0_098079_1994-04-22_final
1994-05-25 09:23:06	ga_ls5t_ard_3-0-0_098069_1994-05-24_final
1994-05-25 09:27:06	ga_ls5t_ard_3-0-0_098079_1994-05-24_final
1994-06-11 10:11:37	ga_ls5t_ard_3-1-0_105083_1994-06-11_final
1994-07-03 09:31:59	ga_ls5t_ard_3-0-0_099078_1994-07-03_final
1994-12-31 09:46:23	ga_ls5t_ard_3-0-0_102081_1994-12-31_final
1995-03-16 09:24:06	ga_ls5t_ard_3-0-0_099079_1995-03-15_final
1995-07-04 09:30:49	ga_ls5t_ard_3-0-0_101077_1995-07-04_final
1995-08-31 08:31:34	ga_ls5t_ard_3-0-0_091090_1995-08-30_final
1995-11-03 08:22:48	ga_ls5t_ard_3-0-0_091076_1995-11-02_final
1995-12-29 09:11:35	ga_ls5t_ard_3-0-0_099068_1995-12-28_final
1996-08-01 08:38:09	ga_ls5t_ard_3-1-0_091075_1996-07-31_final
1996-11-13 09:35:00	ga_ls5t_ard_3-0-0_099080_1996-11-13_final
1997-11-04 09:18:11	ga_ls5t_ard_3-0-0_095067_1997-11-03_final
1999-03-08 10:59:01	ga_ls5t_ard_3-0-0_110074_1999-03-08_final
1999-05-17 08:45:35	ga_ls5t_ard_3-0-0_088082_1999-05-16_final
2003-07-21 09:46:15	ga_ls5t_ard_3-0-0_098084_2003-07-21_final
2004-04-25 09:49:53	ga_ls5t_ard_3-0-0_099069_2004-04-25_final
2004-07-15 10:38:17	ga_ls5t_ard_3-0-0_106076_2004-07-15_final
2004-08-22 10:02:53	ga_ls5t_ard_3-0-0_100078_2004-08-22_final
2004-10-17 10:52:05	ga_ls5t_ard_3-0-0_108074_2004-10-17_final
2004-12-26 10:19:07	ga_ls5t_ard_3-0-0_102081_2004-12-26_final
2005-03-20 09:53:56	ga_ls5t_ard_3-0-0_098077_2005-03-20_final
2005-05-26 10:23:14	ga_ls5t_ard_3-0-0_103072_2005-05-26_final
2005-09-12 09:57:28	ga_ls5t_ard_3-0-0_098083_2005-09-12_final
2006-05-17 11:44:08	ga_ls5t_ard_3-0-0_115077_2006-05-17_final
2006-06-20 11:34:41	ga_ls5t_ard_3-0-0_113083_2006-06-20_final
2006-06-27 10:02:30	ga_ls5t_ard_3-0-0_098084_2006-06-27_final
2006-10-03 11:23:29	ga_ls5t_ard_3-0-0_112067_2006-10-03_final
2007-01-25 11:13:15	ga_ls5t_ard_3-0-0_110070_2007-01-25_final
2007-01-28 10:04:29	ga_ls5t_ard_3-0-0_099068_2007-01-28_final
2007-08-09 09:15:44	ga_ls5t_ard_3-0-0_090089_2007-08-08_final
2008-10-10 11:03:22	ga_ls5t_ard_3-0-0_110072_2008-10-10_final
2009-04-08 10:42:14	ga_ls5t_ard_3-0-0_106074_2009-04-08_final
2009-05-11 09:48:50	ga_ls5t_ard_3-0-0_097078_2009-05-11_final
2009-06-26 09:59:14	ga_ls5t_ard_3-0-0_099071_2009-06-26_final
2009-09-14 10:03:15	ga_ls5t_ard_3-0-0_099078_2009-09-14_final
2010-04-27 10:46:01	ga_ls5t_ard_3-0-0_106074_2010-04-27_final
2010-05-05 09:54:09	ga_ls5t_ard_3-0-0_098068_2010-05-05_final
2011-10-31 09:57:35	ga_ls5t_ard_3-0-0_098084_2011-10-31_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