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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
1987-09-01 10:35:38	ga_ls5t_ard_3-0-0_108078_1987-09-01_final
1987-12-27 10:54:25	ga_ls5t_ard_3-0-0_111073_1987-12-27_final
1988-02-22 10:48:49	ga_ls5t_ard_3-0-0_110072_1988-02-22_final
1988-03-17 10:03:11	ga_ls5t_ard_3-0-0_102081_1988-03-17_final
1988-04-21 10:33:54	ga_ls5t_ard_3-0-0_107080_1988-04-21_final
1988-09-29 11:15:15	ga_ls5t_ard_3-0-0_114074_1988-09-29_final
1988-12-03 08:42:16	ga_ls5t_ard_3-0-0_089078_1988-12-02_final
1989-09-20 09:11:35	ga_ls5t_ard_3-0-0_094086_1989-09-19_final
1989-12-04 08:51:52	ga_ls5t_ard_3-0-0_091088_1989-12-03_final
1990-03-02 11:13:23	ga_ls5t_ard_3-0-0_115078_1990-03-02_final
1990-12-08 09:26:13	ga_ls5t_ard_3-0-0_098077_1990-12-07_final
1991-01-03 10:02:19	ga_ls5t_ard_3-1-0_104073_1991-01-03_final
1991-04-12 10:34:23	ga_ls5t_ard_3-0-0_109071_1991-04-12_final
1991-05-08 09:31:27	ga_ls5t_ard_3-0-0_099067_1991-05-08_final
1991-11-17 08:41:42	ga_ls5t_ard_3-0-0_090077_1991-11-16_final
1992-04-16 10:25:20	ga_ls5t_ard_3-0-0_107074_1992-04-16_final
1992-04-24 09:36:58	ga_ls5t_ard_3-0-0_099077_1992-04-24_final
1993-01-12 09:40:30	ga_ls5t_ard_3-0-0_100076_1993-01-12_final
1993-07-17 08:44:17	ga_ls5t_ard_3-0-0_090088_1993-07-16_final
1993-08-26 11:08:36	ga_ls5t_ard_3-0-0_114078_1993-08-26_final
1993-09-29 09:19:40	ga_ls5t_ard_3-0-0_096084_1993-09-28_final
1994-02-19 10:13:34	ga_ls5t_ard_3-1-0_105083_1994-02-19_final
1995-03-26 08:23:30	ga_ls5t_ard_3-0-0_089083_1995-03-25_final
1995-05-26 09:26:49	ga_ls5t_ard_3-0-0_100078_1995-05-25_final
1995-09-25 08:20:33	ga_ls5t_ard_3-0-0_090081_1995-09-24_final
1995-11-01 10:13:39	ga_ls5t_ard_3-0-0_109075_1995-11-01_final
1996-06-21 08:46:34	ga_ls5t_ard_3-0-0_092086_1996-06-20_final
1996-08-26 08:38:29	ga_ls5t_ard_3-0-0_090088_1996-08-25_final
1996-10-08 09:58:22	ga_ls5t_ard_3-0-0_103081_1996-10-08_final
1997-01-13 10:47:29	ga_ls5t_ard_3-0-0_110084_1997-01-13_final
1997-01-22 10:36:56	ga_ls5t_ard_3-0-0_109072_1997-01-22_final
1998-06-03 09:57:26	ga_ls5t_ard_3-0-0_100078_1998-06-03_final
1999-08-12 10:30:14	ga_ls5t_ard_3-1-0_105083_1999-08-12_final
1999-09-19 11:27:50	ga_ls5t_ard_3-0-0_115075_1999-09-19_final
2004-02-22 10:31:45	ga_ls5t_ard_3-0-0_106068_2004-02-22_final
2004-06-25 09:27:57	ga_ls5t_ard_3-0-0_094087_2004-06-24_final
2004-12-14 11:27:30	ga_ls5t_ard_3-1-0_114067_2004-12-14_final
2007-01-28 10:04:04	ga_ls5t_ard_3-0-0_099067_2007-01-28_final
2007-01-28 10:04:29	ga_ls5t_ard_3-0-0_099068_2007-01-28_final
2007-03-01 10:04:30	ga_ls5t_ard_3-0-0_099068_2007-03-01_final
2007-04-03 09:12:21	ga_ls5t_ard_3-0-0_090077_2007-04-02_final
2007-05-20 11:45:40	ga_ls5t_ard_3-0-0_115075_2007-05-20_final
2007-08-15 10:10:17	ga_ls5t_ard_3-0-0_100071_2007-08-15_final
2007-09-25 10:06:32	ga_ls5t_ard_3-0-0_099078_2007-09-25_final
2008-03-19 10:00:40	ga_ls5t_ard_3-0-0_099071_2008-03-19_final
2008-03-20 10:42:43	ga_ls5t_ard_3-1-0_106068_2008-03-20_final
2008-04-17 11:08:23	ga_ls5t_ard_3-0-0_110072_2008-04-17_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