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

50 results

Time (local)	Label
1986-08-21 09:41:08	ga_ls5t_ard_3-0-0_100078_1986-08-21_final
1988-01-25 10:23:38	ga_ls5t_ard_3-0-0_106072_1988-01-25_final
1988-02-18 09:33:48	ga_ls5t_ard_3-0-0_098070_1988-02-18_final
1988-05-14 10:37:31	ga_ls5t_ard_3-0-0_108073_1988-05-14_final
1988-06-17 08:52:28	ga_ls5t_ard_3-0-0_090088_1988-06-16_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-11-13 09:09:49	ga_ls5t_ard_3-0-0_093085_1988-11-12_final
1989-07-05 09:38:42	ga_ls5t_ard_3-0-0_099072_1989-07-05_final
1989-08-11 09:55:40	ga_ls5t_ard_3-0-0_102070_1989-08-11_final
1990-10-27 08:52:57	ga_ls5t_ard_3-0-0_092086_1990-10-26_final
1991-05-18 10:11:51	ga_ls5t_ard_3-0-0_105075_1991-05-18_final
1991-06-04 10:55:01	ga_ls5t_ard_3-0-0_112074_1991-06-04_final
1992-04-20 10:03:21	ga_ls5t_ard_3-0-0_103081_1992-04-20_final
1992-07-13 09:33:45	ga_ls5t_ard_3-0-0_099071_1992-07-13_final
1992-09-15 09:31:38	ga_ls5t_ard_3-0-0_099068_1992-09-15_final
1992-09-28 09:07:15	ga_ls5t_ard_3-0-0_094085_1992-09-27_final
1993-02-28 10:35:45	ga_ls5t_ard_3-0-0_109074_1993-02-28_final
1993-03-10 09:33:17	ga_ls5t_ard_3-0-0_099072_1993-03-10_final
1993-04-08 10:42:33	ga_ls5t_ard_3-0-0_110075_1993-04-08_final
1994-08-10 10:35:10	ga_ls5t_ard_3-0-0_109084_1994-08-10_final
1994-08-20 11:09:37	ga_ls5t_ard_3-0-0_115078_1994-08-20_final
1995-02-06 10:01:08	ga_ls5t_ard_3-0-0_105075_1995-02-06_final
1995-06-13 09:10:50	ga_ls5t_ard_3-0-0_098071_1995-06-12_final
1996-03-25 09:26:05	ga_ls5t_ard_3-0-0_100074_1996-03-24_final
1996-11-29 09:31:46	ga_ls5t_ard_3-0-0_099070_1996-11-29_final
1998-04-01 10:41:21	ga_ls5t_ard_3-0-0_107082_1998-04-01_final
1998-04-10 08:58:01	ga_ls5t_ard_3-0-0_090086_1998-04-09_final
1998-05-27 09:48:21	ga_ls5t_ard_3-0-0_099071_1998-05-27_final
1998-08-14 09:13:06	ga_ls5t_ard_3-0-0_092089_1998-08-13_final
1998-08-17 09:42:26	ga_ls5t_ard_3-0-0_097085_1998-08-17_final
1998-12-29 10:39:16	ga_ls5t_ard_3-0-0_107071_1998-12-29_final
1999-09-19 09:50:33	ga_ls5t_ard_3-0-0_099079_1999-09-19_final
2003-07-06 10:26:04	ga_ls5t_ard_3-0-0_105076_2003-07-06_final
2003-07-24 10:16:00	ga_ls5t_ard_3-0-0_103081_2003-07-24_final
2003-11-20 10:24:24	ga_ls5t_ard_3-0-0_104082_2003-11-20_final
2003-11-26 11:20:18	ga_ls5t_ard_3-1-0_114067_2003-11-26_final
2004-03-09 10:34:38	ga_ls5t_ard_3-0-0_106075_2004-03-09_final
2004-06-09 11:01:10	ga_ls5t_ard_3-0-0_110074_2004-06-09_final
2004-10-02 09:57:44	ga_ls5t_ard_3-0-0_099078_2004-10-02_final
2004-10-13 11:16:43	ga_ls5t_ard_3-0-0_112074_2004-10-13_final
2006-06-24 09:32:21	ga_ls5t_ard_3-0-0_093086_2006-06-24_final
2006-11-16 10:13:44	ga_ls5t_ard_3-0-0_100077_2006-11-16_final
2007-07-13 11:07:48	ga_ls5t_ard_3-0-0_109075_2007-07-13_final
2008-01-27 10:25:10	ga_ls5t_ard_3-0-0_103068_2008-01-27_final
2008-02-07 10:08:02	ga_ls5t_ard_3-0-0_100072_2008-02-07_final
2009-11-15 10:15:50	ga_ls5t_ard_3-0-0_101077_2009-11-15_final
2010-10-03 10:03:11	ga_ls5t_ard_3-0-0_099077_2010-10-03_final
2011-03-11 09:20:34	ga_ls5t_ard_3-0-0_092079_2011-03-10_final
2011-05-09 10:39:00	ga_ls5t_ard_3-0-0_105075_2011-05-09_final
2011-08-19 10:01:55	ga_ls5t_ard_3-0-0_099077_2011-08-19_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