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

63 results

Time (local)	Label
1987-12-08 10:22:01	ga_ls5t_ard_3-0-0_106070_1987-12-08_final
1988-03-24 10:04:15	ga_ls5t_ard_3-0-0_103068_1988-03-24_final
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1988-07-27 09:40:28	ga_ls5t_ard_3-0-0_098084_1988-07-27_final
1989-07-05 09:38:42	ga_ls5t_ard_3-0-0_099072_1989-07-05_final
1989-09-22 10:33:16	ga_ls5t_ard_3-0-0_108074_1989-09-22_final
1990-03-18 11:12:28	ga_ls5t_ard_3-0-0_115077_1990-03-18_final
1990-05-13 08:49:07	ga_ls5t_ard_3-0-0_091090_1990-05-12_final
1990-05-25 10:46:15	ga_ls5t_ard_3-0-0_111074_1990-05-25_final
1990-09-27 08:42:00	ga_ls5t_ard_3-0-0_090089_1990-09-26_final
1991-07-20 09:33:07	ga_ls5t_ard_3-0-0_098084_1991-07-20_final
1991-12-24 09:04:22	ga_ls5t_ard_3-0-0_093087_1991-12-23_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-04-22 09:49:22	ga_ls5t_ard_3-0-0_101077_1992-04-22_final
1992-08-06 08:45:36	ga_ls5t_ard_3-1-0_091075_1992-08-05_final
1993-03-04 10:14:41	ga_ls5t_ard_3-1-0_105083_1993-03-04_final
1993-03-10 09:36:04	ga_ls5t_ard_3-0-0_099079_1993-03-10_final
1994-01-08 11:13:55	ga_ls5t_ard_3-0-0_115078_1994-01-08_final
1994-03-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1994-03-12_final
1994-05-17 08:41:47	ga_ls5t_ard_3-0-0_090089_1994-05-16_final
1995-01-26 10:19:43	ga_ls5t_ard_3-0-0_108074_1995-01-26_final
1995-02-21 09:15:16	ga_ls5t_ard_3-0-0_098070_1995-02-20_final
1995-02-27 10:18:26	ga_ls5t_ard_3-0-0_108074_1995-02-27_final
1995-04-21 08:53:07	ga_ls5t_ard_3-0-0_095067_1995-04-20_final
1996-02-09 09:54:25	ga_ls5t_ard_3-0-0_105075_1996-02-09_final
1996-06-05 08:45:42	ga_ls5t_ard_3-0-0_092086_1996-06-04_final
1996-11-13 09:34:12	ga_ls5t_ard_3-0-0_099078_1996-11-13_final
1997-07-15 09:14:52	ga_ls5t_ard_3-0-0_095067_1997-07-14_final
1997-08-25 10:51:42	ga_ls5t_ard_3-0-0_110074_1997-08-25_final
1997-08-27 10:39:24	ga_ls5t_ard_3-0-0_108074_1997-08-27_final
1997-12-06 09:26:08	ga_ls5t_ard_3-0-0_095085_1997-12-05_final
1997-12-18 11:27:14	ga_ls5t_ard_3-0-0_115078_1997-12-18_final
1998-08-04 10:08:25	ga_ls5t_ard_3-0-0_102073_1998-08-04_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-02-14 09:56:08	ga_ls5t_ard_3-1-0_100071_1999-02-14_final
1999-04-15 08:45:28	ga_ls5t_ard_3-1-0_088081_1999-04-14_final
1999-06-18 08:45:05	ga_ls5t_ard_3-0-0_088082_1999-06-17_final
1999-12-05 10:54:14	ga_ls5t_ard_3-0-0_110072_1999-12-05_final
2003-06-30 09:20:33	ga_ls5t_ard_3-0-0_095067_2003-06-29_final
2003-08-07 10:26:37	ga_ls5t_ard_3-0-0_105076_2003-08-07_final
2003-10-04 09:22:09	ga_ls5t_ard_3-0-0_095067_2003-10-03_final
2003-10-16 11:29:54	ga_ls5t_ard_3-0-0_115077_2003-10-16_final
2004-06-25 09:27:57	ga_ls5t_ard_3-0-0_094087_2004-06-24_final
2004-10-02 09:57:44	ga_ls5t_ard_3-0-0_099078_2004-10-02_final
2005-02-13 11:00:15	ga_ls5t_ard_3-0-0_109074_2005-02-13_final
2005-03-18 10:06:41	ga_ls5t_ard_3-0-0_100078_2005-03-18_final
2005-04-29 10:43:10	ga_ls5t_ard_3-0-0_106076_2005-04-29_final
2005-07-17 10:01:41	ga_ls5t_ard_3-0-0_099079_2005-07-17_final
2005-11-22 09:58:29	ga_ls5t_ard_3-0-0_099069_2005-11-22_final
2006-01-25 10:03:58	ga_ls5t_ard_3-0-0_099079_2006-01-25_final
2006-03-06 10:52:41	ga_ls5t_ard_3-0-0_107075_2006-03-06_final
2006-04-25 10:41:38	ga_ls5t_ard_3-0-0_105076_2006-04-25_final
2006-07-20 11:45:05	ga_ls5t_ard_3-0-0_115077_2006-07-20_final
2007-08-15 10:10:17	ga_ls5t_ard_3-0-0_100071_2007-08-15_final
2008-09-08 09:26:42	ga_ls5t_ard_3-0-0_094075_2008-09-07_final
2008-09-21 10:34:17	ga_ls5t_ard_3-0-0_105075_2008-09-21_final
2008-10-17 09:28:26	ga_ls5t_ard_3-0-0_095067_2008-10-16_final
2008-12-06 09:23:59	ga_ls5t_ard_3-0-0_093087_2008-12-05_final
2009-02-18 09:56:40	ga_ls5t_ard_3-0-0_099071_2009-02-18_final
2009-03-03 11:04:34	ga_ls5t_ard_3-0-0_110070_2009-03-03_final
2010-12-31 09:56:50	ga_ls5t_ard_3-0-0_098077_2010-12-31_final
2011-01-02 11:22:11	ga_ls5t_ard_3-0-0_112074_2011-01-02_final
2011-10-26 09:32:20	ga_ls5t_ard_3-0-0_095067_2011-10-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years