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

68 results

Time (local)	Label
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1988-03-14 11:08:45	ga_ls5t_ard_3-0-0_113075_1988-03-14_final
1988-06-11 11:00:00	ga_ls5t_ard_3-0-0_112067_1988-06-11_final
1988-08-02 10:41:52	ga_ls5t_ard_3-0-0_108083_1988-08-02_final
1988-09-21 08:48:13	ga_ls5t_ard_3-0-0_090077_1988-09-20_final
1988-11-25 11:09:03	ga_ls5t_ard_3-0-0_113074_1988-11-25_final
1988-12-17 10:32:06	ga_ls5t_ard_3-0-0_107075_1988-12-17_final
1989-01-18 10:31:49	ga_ls5t_ard_3-0-0_107075_1989-01-18_final
1989-02-05 08:44:33	ga_ls5t_ard_3-0-0_089085_1989-02-04_final
1989-02-25 09:57:43	ga_ls5t_ard_3-0-0_101083_1989-02-25_final
1989-03-07 10:31:22	ga_ls5t_ard_3-0-0_107075_1989-03-07_final
1989-05-03 08:46:40	ga_ls5t_ard_3-0-0_090078_1989-05-02_final
1989-07-29 10:28:52	ga_ls5t_ard_3-0-0_107075_1989-07-29_final
1989-08-03 09:13:12	ga_ls5t_ard_3-0-0_094087_1989-08-02_final
1989-08-25 08:32:50	ga_ls5t_ard_3-1-0_088080_1989-08-24_final
1989-09-01 08:40:53	ga_ls5t_ard_3-1-0_089085_1989-08-31_final
1990-10-05 11:04:10	ga_ls5t_ard_3-0-0_114074_1990-10-05_final
1990-12-07 10:21:01	ga_ls5t_ard_3-0-0_107075_1990-12-07_final
1991-02-26 09:25:59	ga_ls5t_ard_3-0-0_098072_1991-02-25_final
1991-11-17 08:41:42	ga_ls5t_ard_3-0-0_090077_1991-11-16_final
1992-01-16 09:10:04	ga_ls5t_ard_3-0-0_094086_1992-01-15_final
1992-03-15 10:25:56	ga_ls5t_ard_3-0-0_107075_1992-03-15_final
1992-10-19 09:20:14	ga_ls5t_ard_3-0-0_097072_1992-10-18_final
1992-12-28 10:23:10	ga_ls5t_ard_3-0-0_107075_1992-12-28_final
1993-01-22 08:42:49	ga_ls5t_ard_3-0-0_090086_1993-01-21_final
1993-02-14 10:23:43	ga_ls5t_ard_3-0-0_107075_1993-02-14_final
1994-01-02 10:10:36	ga_ls5t_ard_3-0-0_105074_1994-01-02_final
1994-01-24 09:31:12	ga_ls5t_ard_3-0-0_099069_1994-01-24_final
1994-03-28 08:49:28	ga_ls5t_ard_3-0-0_092075_1994-03-27_final
1994-11-10 09:16:43	ga_ls5t_ard_3-0-0_097080_1994-11-09_final
1995-05-15 09:47:04	ga_ls5t_ard_3-0-0_103081_1995-05-15_final
1995-12-13 09:14:00	ga_ls5t_ard_3-0-0_099077_1995-12-12_final
1995-12-20 09:18:18	ga_ls5t_ard_3-0-0_100071_1995-12-19_final
1995-12-29 09:11:59	ga_ls5t_ard_3-0-0_099069_1995-12-28_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-02-10 10:37:21	ga_ls5t_ard_3-0-0_112074_1996-02-10_final
1996-06-02 09:50:44	ga_ls5t_ard_3-0-0_103079_1996-06-02_final
1996-08-06 09:01:21	ga_ls5t_ard_3-0-0_094086_1996-08-05_final
1996-12-31 09:33:42	ga_ls5t_ard_3-0-0_099071_1996-12-31_final
1997-02-02 08:41:59	ga_ls5t_ard_3-0-0_090077_1997-02-01_final
1997-03-02 10:44:22	ga_ls5t_ard_3-0-0_110071_1997-03-02_final
1997-08-04 10:30:54	ga_ls5t_ard_3-0-0_107070_1997-08-04_final
1997-08-12 09:41:43	ga_ls5t_ard_3-0-0_099070_1997-08-12_final
1998-02-24 09:28:16	ga_ls5t_ard_3-0-0_095086_1998-02-23_final
1998-03-05 10:56:43	ga_ls5t_ard_3-0-0_110075_1998-03-05_final
1998-05-22 11:09:48	ga_ls5t_ard_3-0-0_112074_1998-05-22_final
1998-08-09 10:31:00	ga_ls5t_ard_3-1-0_105083_1998-08-09_final
1999-05-29 09:07:12	ga_ls5t_ard_3-0-0_092075_1999-05-28_final
1999-10-21 09:50:03	ga_ls5t_ard_3-0-0_099078_1999-10-21_final
2003-08-29 09:50:20	ga_ls5t_ard_3-0-0_099077_2003-08-29_final
2004-11-25 10:59:22	ga_ls5t_ard_3-0-0_109075_2004-11-25_final
2005-01-13 10:05:22	ga_ls5t_ard_3-0-0_100077_2005-01-13_final
2005-04-27 10:55:07	ga_ls5t_ard_3-0-0_108075_2005-04-27_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2005-08-07 10:18:02	ga_ls5t_ard_3-0-0_102073_2005-08-07_final
2005-09-28 09:55:51	ga_ls5t_ard_3-0-0_098079_2005-09-28_final
2005-11-10 09:32:40	ga_ls5t_ard_3-0-0_095067_2005-11-10_final
2006-06-22 09:43:53	ga_ls5t_ard_3-0-0_095084_2006-06-22_final
2006-09-27 10:23:13	ga_ls5t_ard_3-0-0_102071_2006-09-27_final
2006-12-21 10:44:07	ga_ls5t_ard_3-0-0_105075_2006-12-21_final
2007-04-29 09:52:28	ga_ls5t_ard_3-0-0_096085_2007-04-29_final
2007-08-26 11:35:18	ga_ls5t_ard_3-0-0_113083_2007-08-26_final
2008-01-23 09:14:16	ga_ls5t_ard_3-0-0_091076_2008-01-22_final
2008-04-04 10:03:07	ga_ls5t_ard_3-0-0_099078_2008-04-04_final
2008-09-28 10:37:27	ga_ls5t_ard_3-0-0_106068_2008-09-28_final
2009-11-15 10:15:50	ga_ls5t_ard_3-0-0_101077_2009-11-15_final
2009-12-13 09:02:43	ga_ls5t_ard_3-0-0_089079_2009-12-12_final
2009-12-16 11:10:08	ga_ls5t_ard_3-0-0_110073_2009-12-16_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