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

48 results

Time (local)	Label
1987-09-23 10:00:17	ga_ls5t_ard_3-0-0_102081_1987-09-23_final
1988-03-28 11:21:14	ga_ls5t_ard_3-0-0_115075_1988-03-28_final
1988-04-11 09:55:34	ga_ls5t_ard_3-0-0_101077_1988-04-11_final
1988-04-19 10:44:15	ga_ls5t_ard_3-0-0_109075_1988-04-19_final
1988-11-23 09:40:08	ga_ls5t_ard_3-0-0_099068_1988-11-23_final
1989-01-18 08:58:08	ga_ls5t_ard_3-0-0_091088_1989-01-17_final
1989-02-21 08:42:03	ga_ls5t_ard_3-0-0_089079_1989-02-20_final
1989-05-22 10:54:06	ga_ls5t_ard_3-0-0_111073_1989-05-22_final
1989-08-11 09:55:40	ga_ls5t_ard_3-0-0_102070_1989-08-11_final
1989-11-21 09:21:19	ga_ls5t_ard_3-0-0_096084_1989-11-20_final
1990-07-13 09:53:22	ga_ls5t_ard_3-0-0_102081_1990-07-13_final
1990-08-08 08:53:50	ga_ls5t_ard_3-0-0_092087_1990-08-07_final
1990-12-14 08:48:01	ga_ls5t_ard_3-1-0_092074_1990-12-13_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1991-05-18 08:36:10	ga_ls5t_ard_3-0-0_089083_1991-05-17_final
1992-02-08 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-08_final
1993-08-30 09:07:47	ga_ls5t_ard_3-0-0_094085_1993-08-29_final
1993-09-04 11:00:49	ga_ls5t_ard_3-0-0_113074_1993-09-04_final
1993-10-13 09:29:09	ga_ls5t_ard_3-0-0_098077_1993-10-12_final
1993-11-23 11:00:45	ga_ls5t_ard_3-0-0_113075_1993-11-23_final
1994-08-10 10:35:10	ga_ls5t_ard_3-0-0_109084_1994-08-10_final
1994-12-14 10:39:23	ga_ls5t_ard_3-0-0_111073_1994-12-14_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1995-11-28 09:52:38	ga_ls5t_ard_3-0-0_106068_1995-11-28_final
1995-12-14 08:22:50	ga_ls5t_ard_3-0-0_090088_1995-12-13_final
1996-02-05 10:18:52	ga_ls5t_ard_3-0-0_109075_1996-02-05_final
1996-05-06 08:32:50	ga_ls5t_ard_3-0-0_090089_1996-05-05_final
1997-08-12 09:44:54	ga_ls5t_ard_3-0-0_099078_1997-08-12_final
1997-08-25 10:52:06	ga_ls5t_ard_3-0-0_110075_1997-08-25_final
1997-08-28 09:41:49	ga_ls5t_ard_3-0-0_099069_1997-08-28_final
1997-11-11 09:31:18	ga_ls5t_ard_3-0-0_096084_1997-11-11_final
1997-11-15 10:41:34	ga_ls5t_ard_3-0-0_108074_1997-11-15_final
1998-08-04 10:06:25	ga_ls5t_ard_3-0-0_102068_1998-08-04_final
1999-05-29 09:07:12	ga_ls5t_ard_3-0-0_092075_1999-05-28_final
2003-07-07 11:05:45	ga_ls5t_ard_3-0-0_112067_2003-07-07_final
2003-07-24 10:16:00	ga_ls5t_ard_3-0-0_103081_2003-07-24_final
2003-09-04 10:51:01	ga_ls5t_ard_3-0-0_109074_2003-09-04_final
2004-03-08 09:52:10	ga_ls5t_ard_3-0-0_099077_2004-03-08_final
2004-06-03 10:03:11	ga_ls5t_ard_3-0-0_100084_2004-06-03_final
2004-09-01 09:01:45	ga_ls5t_ard_3-0-0_090079_2004-08-31_final
2004-09-24 09:08:31	ga_ls5t_ard_3-0-0_091079_2004-09-23_final
2004-12-31 08:58:02	ga_ls5t_ard_3-0-0_089079_2004-12-30_final
2005-04-27 10:55:07	ga_ls5t_ard_3-0-0_108075_2005-04-27_final
2005-09-29 09:00:13	ga_ls5t_ard_3-0-0_089079_2005-09-28_final
2006-03-14 10:05:48	ga_ls5t_ard_3-0-0_099081_2006-03-14_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2008-04-20 09:58:44	ga_ls5t_ard_3-0-0_099068_2008-04-20_final
2008-10-30 10:41:10	ga_ls5t_ard_3-0-0_106080_2008-10-30_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