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

47 results

Time (local)	Label
1987-10-04 09:41:11	ga_ls5t_ard_3-0-0_099079_1987-10-04_final
1987-10-15 09:18:03	ga_ls5t_ard_3-0-0_096067_1987-10-14_final
1988-05-31 09:44:01	ga_ls5t_ard_3-0-0_099078_1988-05-31_final
1989-07-27 09:07:11	ga_ls5t_ard_3-1-0_093087_1989-07-26_final
1989-12-19 09:42:40	ga_ls5t_ard_3-0-0_100077_1989-12-19_final
1990-08-01 08:48:53	ga_ls5t_ard_3-0-0_091090_1990-07-31_final
1992-02-24 09:08:36	ga_ls5t_ard_3-0-0_095067_1992-02-23_final
1992-07-24 09:13:28	ga_ls5t_ard_3-0-0_096067_1992-07-23_final
1992-08-09 09:13:16	ga_ls5t_ard_3-0-0_096067_1992-08-08_final
1992-09-14 10:29:40	ga_ls5t_ard_3-0-0_108074_1992-09-14_final
1993-03-04 10:14:41	ga_ls5t_ard_3-1-0_105083_1993-03-04_final
1993-05-06 09:32:11	ga_ls5t_ard_3-0-0_098084_1993-05-06_final
1993-06-29 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-06-29_final
1994-03-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1994-03-12_final
1994-07-30 09:08:19	ga_ls5t_ard_3-0-0_096067_1994-07-29_final
1994-10-09 09:13:26	ga_ls5t_ard_3-1-0_097069_1994-10-08_final
1995-06-05 08:28:32	ga_ls5t_ard_3-0-0_090088_1995-06-04_final
1995-07-01 08:56:04	ga_ls5t_ard_3-0-0_096067_1995-06-30_final
1995-10-21 08:50:38	ga_ls5t_ard_3-0-0_096067_1995-10-20_final
1996-03-09 09:26:39	ga_ls5t_ard_3-0-0_100078_1996-03-08_final
1996-04-30 09:00:47	ga_ls5t_ard_3-0-0_096067_1996-04-29_final
1996-12-23 10:24:21	ga_ls5t_ard_3-0-0_107075_1996-12-23_final
1997-02-17 11:16:20	ga_ls5t_ard_3-1-0_115075_1997-02-17_final
1997-03-05 09:39:41	ga_ls5t_ard_3-0-0_099079_1997-03-05_final
1997-07-22 09:21:17	ga_ls5t_ard_3-0-0_096067_1997-07-21_final
1997-09-10 09:18:04	ga_ls5t_ard_3-0-0_094086_1997-09-09_final
1998-02-19 10:43:45	ga_ls5t_ard_3-0-0_108074_1998-02-19_final
1998-03-29 10:10:01	ga_ls5t_ard_3-0-0_102081_1998-03-29_final
1998-10-01 10:46:22	ga_ls5t_ard_3-0-0_108074_1998-10-01_final
1999-02-09 09:41:08	ga_ls5t_ard_3-0-0_097080_1999-02-09_final
1999-04-11 10:46:15	ga_ls5t_ard_3-0-0_108074_1999-04-11_final
2003-09-14 09:50:36	ga_ls5t_ard_3-0-0_099077_2003-09-14_final
2003-10-16 09:47:01	ga_ls5t_ard_3-0-0_099067_2003-10-16_final
2005-01-22 09:59:44	ga_ls5t_ard_3-0-0_099078_2005-01-22_final
2005-02-17 08:58:19	ga_ls5t_ard_3-0-0_089078_2005-02-16_final
2005-09-16 09:33:33	ga_ls5t_ard_3-0-0_094085_2005-09-16_final
2005-11-21 09:20:23	ga_ls5t_ard_3-0-0_092082_2005-11-20_final
2006-06-18 10:02:09	ga_ls5t_ard_3-0-0_099068_2006-06-18_final
2007-04-05 10:37:16	ga_ls5t_ard_3-0-0_104073_2007-04-05_final
2007-06-16 09:44:37	ga_ls5t_ard_3-0-0_096067_2007-06-16_final
2007-08-24 10:06:24	ga_ls5t_ard_3-0-0_099077_2007-08-24_final
2009-05-14 10:20:59	ga_ls5t_ard_3-0-0_102081_2009-05-14_final
2009-10-27 09:40:48	ga_ls5t_ard_3-0-0_096067_2009-10-27_final
2010-05-03 10:10:07	ga_ls5t_ard_3-1-0_100077_2010-05-03_final
2010-10-08 10:23:17	ga_ls5t_ard_3-0-0_102081_2010-10-08_final
2011-03-28 10:02:56	ga_ls5t_ard_3-0-0_099077_2011-03-28_final
2011-05-31 10:02:36	ga_ls5t_ard_3-0-0_099077_2011-05-31_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