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

59 results

Time (local)	Label
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1987-12-14 09:50:13	ga_ls5t_ard_3-0-0_100083_1987-12-14_final
1988-08-23 10:56:27	ga_ls5t_ard_3-0-0_111073_1988-08-23_final
1989-07-05 11:18:47	ga_ls5t_ard_3-0-0_115075_1989-07-05_final
1989-09-19 10:05:13	ga_ls5t_ard_3-0-0_103081_1989-09-19_final
1989-09-23 09:39:15	ga_ls5t_ard_3-0-0_099078_1989-09-23_final
1989-09-30 09:44:37	ga_ls5t_ard_3-0-0_100076_1989-09-30_final
1990-02-27 10:40:14	ga_ls5t_ard_3-0-0_110072_1990-02-27_final
1990-03-18 09:33:35	ga_ls5t_ard_3-0-0_099077_1990-03-18_final
1990-12-24 09:26:57	ga_ls5t_ard_3-0-0_098078_1990-12-23_final
1991-09-12 08:58:30	ga_ls5t_ard_3-0-0_092089_1991-09-11_final
1991-11-09 09:31:32	ga_ls5t_ard_3-0-0_098078_1991-11-09_final
1991-11-10 08:36:19	ga_ls5t_ard_3-0-0_089079_1991-11-09_final
1992-01-19 09:38:10	ga_ls5t_ard_3-0-0_099079_1992-01-19_final
1992-02-05 10:19:01	ga_ls5t_ard_3-0-0_106073_1992-02-05_final
1992-02-08 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-08_final
1992-04-07 08:55:51	ga_ls5t_ard_3-0-0_092082_1992-04-06_final
1992-04-18 10:10:33	ga_ls5t_ard_3-0-0_105068_1992-04-18_final
1993-01-30 09:25:09	ga_ls5t_ard_3-0-0_098068_1993-01-29_final
1993-05-16 08:29:37	ga_ls5t_ard_3-1-0_088082_1993-05-15_final
1993-12-14 09:43:30	ga_ls5t_ard_3-1-0_100083_1993-12-14_final
1994-01-22 09:46:46	ga_ls5t_ard_3-0-0_101077_1994-01-22_final
1994-01-24 11:12:29	ga_ls5t_ard_3-0-0_115075_1994-01-24_final
1994-06-01 09:32:45	ga_ls5t_ard_3-0-0_099078_1994-06-01_final
1994-07-13 08:29:55	ga_ls5t_ard_3-0-0_089078_1994-07-12_final
1994-10-27 10:40:57	ga_ls5t_ard_3-0-0_111073_1994-10-27_final
1995-01-10 08:46:38	ga_ls5t_ard_3-0-0_092087_1995-01-09_final
1995-06-04 09:20:37	ga_ls5t_ard_3-0-0_099079_1995-06-03_final
1995-11-27 09:13:44	ga_ls5t_ard_3-0-0_099079_1995-11-26_final
1996-03-28 08:21:04	ga_ls5t_ard_3-0-0_089081_1996-03-27_final
1996-06-26 10:39:04	ga_ls5t_ard_3-0-0_111073_1996-06-26_final
1996-12-30 08:51:35	ga_ls5t_ard_3-1-0_092074_1996-12-29_final
1996-12-31 09:33:18	ga_ls5t_ard_3-0-0_099070_1996-12-31_final
1997-01-05 09:56:28	ga_ls5t_ard_3-0-0_102081_1997-01-05_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-02-02 10:18:52	ga_ls5t_ard_3-0-0_106072_1997-02-02_final
1998-03-28 09:23:10	ga_ls5t_ard_3-0-0_095072_1998-03-27_final
1998-08-04 10:06:25	ga_ls5t_ard_3-0-0_102068_1998-08-04_final
2003-07-12 09:50:16	ga_ls5t_ard_3-0-0_099079_2003-07-12_final
2003-08-13 09:46:02	ga_ls5t_ard_3-0-0_099067_2003-08-13_final
2003-12-19 09:49:21	ga_ls5t_ard_3-0-0_099071_2003-12-19_final
2004-04-29 11:05:45	ga_ls5t_ard_3-0-0_111073_2004-04-29_final
2004-06-28 09:55:45	ga_ls5t_ard_3-0-0_099079_2004-06-28_final
2004-09-13 09:24:24	ga_ls5t_ard_3-0-0_094073_2004-09-12_final
2004-10-17 09:18:47	ga_ls5t_ard_3-0-0_092088_2004-10-16_final
2004-10-28 08:56:52	ga_ls5t_ard_3-0-0_089079_2004-10-27_final
2005-05-14 11:39:17	ga_ls5t_ard_3-0-0_115077_2005-05-14_final
2007-02-09 10:29:13	ga_ls5t_ard_3-0-0_103068_2007-02-09_final
2007-02-14 09:12:28	ga_ls5t_ard_3-0-0_090077_2007-02-13_final
2007-05-10 11:08:19	ga_ls5t_ard_3-0-0_109074_2007-05-10_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2008-05-06 09:59:05	ga_ls5t_ard_3-0-0_099070_2008-05-06_final
2008-06-24 10:40:13	ga_ls5t_ard_3-0-0_106068_2008-06-24_final
2008-10-13 10:00:05	ga_ls5t_ard_3-0-0_099084_2008-10-13_final
2008-10-23 08:58:20	ga_ls5t_ard_3-0-0_089085_2008-10-22_final
2008-11-25 09:38:35	ga_ls5t_ard_3-0-0_096078_2008-11-25_final
2008-12-28 10:20:26	ga_ls5t_ard_3-0-0_103072_2008-12-28_final
2009-12-14 11:22:52	ga_ls5t_ard_3-0-0_112074_2009-12-14_final
2010-10-28 09:54:22	ga_ls5t_ard_3-0-0_098071_2010-10-28_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