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
1987-05-28 08:57:36	ga_ls5t_ard_3-0-0_092086_1987-05-27_final
1987-07-20 09:09:39	ga_ls5t_ard_3-0-0_095067_1987-07-19_final
1987-12-15 10:29:54	ga_ls5t_ard_3-0-0_107074_1987-12-15_final
1988-01-02 08:40:57	ga_ls5t_ard_3-0-0_089079_1988-01-01_final
1988-01-09 10:27:19	ga_ls5t_ard_3-0-0_106082_1988-01-09_final
1988-05-14 10:37:31	ga_ls5t_ard_3-0-0_108073_1988-05-14_final
1988-09-08 09:15:12	ga_ls5t_ard_3-0-0_095067_1988-09-07_final
1988-10-29 09:47:28	ga_ls5t_ard_3-0-0_100071_1988-10-29_final
1988-12-10 10:24:25	ga_ls5t_ard_3-0-0_106071_1988-12-10_final
1988-12-11 11:10:03	ga_ls5t_ard_3-0-0_113077_1988-12-11_final
1989-01-25 10:37:06	ga_ls5t_ard_3-0-0_108073_1989-01-25_final
1989-11-04 08:37:59	ga_ls5t_ard_3-0-0_089082_1989-11-03_final
1989-12-27 10:29:04	ga_ls5t_ard_3-0-0_108070_1989-12-27_final
1990-05-29 08:48:39	ga_ls5t_ard_3-0-0_091089_1990-05-28_final
1991-03-21 09:31:51	ga_ls5t_ard_3-0-0_099070_1991-03-21_final
1991-04-07 08:39:14	ga_ls5t_ard_3-0-0_090077_1991-04-06_final
1991-08-02 10:37:12	ga_ls5t_ard_3-0-0_109074_1991-08-02_final
1991-10-14 10:30:28	ga_ls5t_ard_3-0-0_108071_1991-10-14_final
1992-03-29 10:39:23	ga_ls5t_ard_3-0-0_109078_1992-03-29_final
1992-07-05 10:24:53	ga_ls5t_ard_3-0-0_107075_1992-07-05_final
1992-12-30 08:35:56	ga_ls5t_ard_3-0-0_089085_1992-12-29_final
1993-03-14 09:06:35	ga_ls5t_ard_3-0-0_095067_1993-03-13_final
1993-07-10 10:11:24	ga_ls5t_ard_3-0-0_105074_1993-07-10_final
1994-02-09 09:31:27	ga_ls5t_ard_3-0-0_099070_1994-02-09_final
1994-04-29 08:53:41	ga_ls5t_ard_3-0-0_092087_1994-04-28_final
1994-07-16 10:38:25	ga_ls5t_ard_3-0-0_110075_1994-07-16_final
1994-10-27 10:40:57	ga_ls5t_ard_3-0-0_111073_1994-10-27_final
1995-12-22 09:06:05	ga_ls5t_ard_3-0-0_098071_1995-12-21_final
1996-07-22 09:42:13	ga_ls5t_ard_3-0-0_101082_1996-07-22_final
1996-12-25 08:34:48	ga_ls5t_ard_3-0-0_089079_1996-12-24_final
1997-07-08 10:50:31	ga_ls5t_ard_3-0-0_110075_1997-07-08_final
1997-09-02 10:05:17	ga_ls5t_ard_3-0-0_102081_1997-09-02_final
1997-10-11 10:12:34	ga_ls5t_ard_3-0-0_103081_1997-10-11_final
1998-01-22 08:42:45	ga_ls5t_ard_3-1-0_088082_1998-01-21_final
1998-02-20 09:47:21	ga_ls5t_ard_3-0-0_099072_1998-02-20_final
1998-03-08 09:47:36	ga_ls5t_ard_3-0-0_099072_1998-03-08_final
1998-06-07 11:14:03	ga_ls5t_ard_3-0-0_112084_1998-06-07_final
1998-09-16 11:31:10	ga_ls5t_ard_3-0-0_115078_1998-09-16_final
1999-03-27 09:49:56	ga_ls5t_ard_3-0-0_099072_1999-03-27_final
1999-04-28 09:52:38	ga_ls5t_ard_3-0-0_099079_1999-04-28_final
1999-05-10 10:18:01	ga_ls5t_ard_3-0-0_103081_1999-05-10_final
2003-09-26 10:13:29	ga_ls5t_ard_3-0-0_103072_2003-09-26_final
2003-10-10 10:30:01	ga_ls5t_ard_3-0-0_105082_2003-10-10_final
2003-11-02 10:34:00	ga_ls5t_ard_3-0-0_106076_2003-11-02_final
2003-12-03 09:48:26	ga_ls5t_ard_3-0-0_099069_2003-12-03_final
2004-07-02 11:11:38	ga_ls5t_ard_3-0-0_111083_2004-07-02_final
2004-09-13 09:24:24	ga_ls5t_ard_3-0-0_094073_2004-09-12_final
2005-01-15 09:55:50	ga_ls5t_ard_3-0-0_098084_2005-01-15_final
2005-05-04 11:00:57	ga_ls5t_ard_3-0-0_109074_2005-05-04_final
2005-06-01 11:27:53	ga_ls5t_ard_3-0-0_113079_2005-06-01_final
2005-07-16 09:16:25	ga_ls5t_ard_3-1-0_092074_2005-07-15_final
2005-08-14 10:23:52	ga_ls5t_ard_3-0-0_103072_2005-08-14_final
2005-09-03 11:40:31	ga_ls5t_ard_3-0-0_115078_2005-09-03_final
2006-09-16 10:43:13	ga_ls5t_ard_3-0-0_105075_2006-09-16_final
2006-11-16 10:11:20	ga_ls5t_ard_3-0-0_100071_2006-11-16_final
2006-12-20 10:02:03	ga_ls5t_ard_3-0-0_098078_2006-12-20_final
2007-01-06 10:44:38	ga_ls5t_ard_3-0-0_105076_2007-01-06_final
2007-02-05 10:56:20	ga_ls5t_ard_3-0-0_107074_2007-02-05_final
2007-05-14 10:41:09	ga_ls5t_ard_3-0-0_105068_2007-05-14_final
2007-06-16 11:23:30	ga_ls5t_ard_3-1-0_112067_2007-06-16_final
2008-02-02 09:51:34	ga_ls5t_ard_3-0-0_097077_2008-02-02_final
2008-02-09 11:36:31	ga_ls5t_ard_3-0-0_114077_2008-02-09_final
2008-12-24 10:49:26	ga_ls5t_ard_3-0-0_107083_2008-12-24_final
2009-01-22 10:14:07	ga_ls5t_ard_3-0-0_102070_2009-01-22_final
2009-03-06 09:59:51	ga_ls5t_ard_3-0-0_099078_2009-03-06_final
2009-10-16 10:00:26	ga_ls5t_ard_3-0-0_099070_2009-10-16_final
2010-10-02 09:24:20	ga_ls5t_ard_3-0-0_092088_2010-10-01_final
2011-11-07 09:58:25	ga_ls5t_ard_3-0-0_099071_2011-11-07_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