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

61 results

Time (local)	Label
1987-11-05 09:38:11	ga_ls5t_ard_3-0-0_099070_1987-11-05_final
1987-11-30 09:36:04	ga_ls5t_ard_3-0-0_098079_1987-11-30_final
1987-12-19 10:08:02	ga_ls5t_ard_3-0-0_103081_1987-12-19_final
1988-05-31 09:41:13	ga_ls5t_ard_3-0-0_099071_1988-05-31_final
1988-07-17 09:05:21	ga_ls5t_ard_3-0-0_092089_1988-07-16_final
1989-06-13 08:39:42	ga_ls5t_ard_3-0-0_089078_1989-06-12_final
1989-08-23 08:47:39	ga_ls5t_ard_3-0-0_090086_1989-08-22_final
1990-07-08 09:33:39	ga_ls5t_ard_3-1-0_099078_1990-07-08_final
1990-08-01 08:48:53	ga_ls5t_ard_3-0-0_091090_1990-07-31_final
1990-09-10 11:11:03	ga_ls5t_ard_3-0-0_115075_1990-09-10_final
1990-09-26 09:33:39	ga_ls5t_ard_3-0-0_099079_1990-09-26_final
1991-03-25 10:47:17	ga_ls5t_ard_3-0-0_111073_1991-03-25_final
1991-07-19 08:51:02	ga_ls5t_ard_3-0-0_091087_1991-07-18_final
1991-08-06 08:35:14	ga_ls5t_ard_3-0-0_089078_1991-08-05_final
1991-09-30 08:41:27	ga_ls5t_ard_3-0-0_090077_1991-09-29_final
1991-12-02 09:38:21	ga_ls5t_ard_3-0-0_099079_1991-12-02_final
1992-02-25 09:52:16	ga_ls5t_ard_3-0-0_102068_1992-02-25_final
1992-04-08 11:16:23	ga_ls5t_ard_3-0-0_115078_1992-04-08_final
1992-06-10 08:58:06	ga_ls5t_ard_3-0-0_092089_1992-06-09_final
1992-09-06 09:41:08	ga_ls5t_ard_3-0-0_100076_1992-09-06_final
1993-01-22 10:14:30	ga_ls5t_ard_3-0-0_106068_1993-01-22_final
1993-05-01 10:46:08	ga_ls5t_ard_3-0-0_111068_1993-05-01_final
1993-08-24 09:41:17	ga_ls5t_ard_3-0-0_100076_1993-08-24_final
1993-10-14 08:34:20	ga_ls5t_ard_3-0-0_089079_1993-10-13_final
1994-01-18 08:35:03	ga_ls5t_ard_3-0-0_089083_1994-01-17_final
1994-01-24 09:34:24	ga_ls5t_ard_3-0-0_099077_1994-01-24_final
1994-02-09 09:31:27	ga_ls5t_ard_3-0-0_099070_1994-02-09_final
1994-07-29 10:04:46	ga_ls5t_ard_3-0-0_105069_1994-07-29_final
1994-09-22 10:09:57	ga_ls5t_ard_3-0-0_106070_1994-09-22_final
1994-12-02 10:19:01	ga_ls5t_ard_3-0-0_107083_1994-12-02_final
1994-12-14 10:40:34	ga_ls5t_ard_3-0-0_111076_1994-12-14_final
1995-06-26 10:20:14	ga_ls5t_ard_3-0-0_109076_1995-06-26_final
1995-10-19 09:03:31	ga_ls5t_ard_3-0-0_098068_1995-10-18_final
1996-08-09 09:26:25	ga_ls5t_ard_3-0-0_099071_1996-08-08_final
1997-02-17 09:35:03	ga_ls5t_ard_3-0-0_099069_1997-02-17_final
1998-04-02 09:43:44	ga_ls5t_ard_3-0-0_098077_1998-04-02_final
1998-12-29 10:39:16	ga_ls5t_ard_3-0-0_107071_1998-12-29_final
1999-02-07 09:53:04	ga_ls5t_ard_3-0-0_099079_1999-02-07_final
1999-04-19 09:58:26	ga_ls5t_ard_3-0-0_100078_1999-04-19_final
1999-09-05 09:40:36	ga_ls5t_ard_3-0-0_097084_1999-09-05_final
1999-10-21 09:50:03	ga_ls5t_ard_3-0-0_099078_1999-10-21_final
2004-05-04 09:47:33	ga_ls5t_ard_3-0-0_098078_2004-05-04_final
2004-06-29 09:02:09	ga_ls5t_ard_3-0-0_090084_2004-06-28_final
2004-09-09 09:51:01	ga_ls5t_ard_3-0-0_098078_2004-09-09_final
2004-10-18 09:55:41	ga_ls5t_ard_3-0-0_099072_2004-10-18_final
2004-12-06 09:03:00	ga_ls5t_ard_3-0-0_090077_2004-12-05_final
2004-12-09 11:11:15	ga_ls5t_ard_3-0-0_111073_2004-12-09_final
2005-07-25 09:15:31	ga_ls5t_ard_3-0-0_091087_2005-07-24_final
2005-09-12 09:57:28	ga_ls5t_ard_3-0-0_098083_2005-09-12_final
2007-03-22 10:22:59	ga_ls5t_ard_3-0-0_102068_2007-03-22_final
2007-05-14 10:43:56	ga_ls5t_ard_3-0-0_105075_2007-05-14_final
2007-05-26 09:29:14	ga_ls5t_ard_3-0-0_093074_2007-05-25_final
2008-09-04 09:52:44	ga_ls5t_ard_3-0-0_098078_2008-09-04_final
2008-09-16 10:18:17	ga_ls5t_ard_3-0-0_102081_2008-09-16_final
2008-12-06 09:23:59	ga_ls5t_ard_3-0-0_093087_2008-12-05_final
2009-04-24 10:40:09	ga_ls5t_ard_3-0-0_106068_2009-04-24_final
2010-01-16 10:30:14	ga_ls5t_ard_3-0-0_103081_2010-01-16_final
2010-01-20 10:04:44	ga_ls5t_ard_3-0-0_099079_2010-01-20_final
2010-04-21 11:23:08	ga_ls5t_ard_3-0-0_112074_2010-04-21_final
2010-05-17 10:19:38	ga_ls5t_ard_3-0-0_102070_2010-05-17_final
2010-10-13 09:01:42	ga_ls5t_ard_3-0-0_089078_2010-10-12_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