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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

53 results

Time (local)	Label
1987-09-19 08:44:50	ga_ls5t_ard_3-0-0_090078_1987-09-18_final
1988-01-23 10:39:32	ga_ls5t_ard_3-0-0_108081_1988-01-23_final
1988-01-28 10:58:59	ga_ls5t_ard_3-0-0_111083_1988-01-28_final
1988-03-16 11:00:00	ga_ls5t_ard_3-0-0_111084_1988-03-16_final
1989-03-26 09:23:55	ga_ls5t_ard_3-0-0_096078_1989-03-25_final
1989-06-19 09:41:44	ga_ls5t_ard_3-0-0_099079_1989-06-19_final
1989-06-30 10:59:58	ga_ls5t_ard_3-0-0_112074_1989-06-30_final
1989-10-09 09:35:25	ga_ls5t_ard_3-0-0_099069_1989-10-09_final
1990-04-23 10:49:07	ga_ls5t_ard_3-0-0_111081_1990-04-23_final
1990-07-15 09:40:36	ga_ls5t_ard_3-0-0_100080_1990-07-15_final
1991-03-09 10:46:56	ga_ls5t_ard_3-0-0_111073_1991-03-09_final
1991-09-26 10:43:02	ga_ls5t_ard_3-0-0_110072_1991-09-26_final
1992-04-16 08:52:26	ga_ls5t_ard_3-0-0_091089_1992-04-15_final
1992-05-12 09:21:17	ga_ls5t_ard_3-0-0_097069_1992-05-11_final
1992-09-28 09:02:51	ga_ls5t_ard_3-0-0_094074_1992-09-27_final
1992-10-30 09:01:58	ga_ls5t_ard_3-0-0_094073_1992-10-29_final
1993-01-20 10:27:38	ga_ls5t_ard_3-0-0_108070_1993-01-20_final
1993-02-07 08:39:24	ga_ls5t_ard_3-0-0_090077_1993-02-06_final
1993-03-06 09:57:58	ga_ls5t_ard_3-0-0_103072_1993-03-06_final
1993-04-04 11:09:15	ga_ls5t_ard_3-0-0_114080_1993-04-04_final
1993-06-19 09:56:10	ga_ls5t_ard_3-0-0_102082_1993-06-19_final
1993-08-26 09:26:31	ga_ls5t_ard_3-0-0_098070_1993-08-25_final
1993-09-03 10:18:21	ga_ls5t_ard_3-0-0_106076_1993-09-03_final
1993-09-29 10:57:21	ga_ls5t_ard_3-0-0_112081_1993-09-29_final
1993-10-04 09:31:48	ga_ls5t_ard_3-0-0_099068_1993-10-04_final
1993-12-24 08:41:12	ga_ls5t_ard_3-0-0_090082_1993-12-23_final
1994-02-01 08:48:53	ga_ls5t_ard_3-0-0_091087_1994-01-31_final
1994-04-22 08:47:13	ga_ls5t_ard_3-0-0_091086_1994-04-21_final
1994-11-18 08:27:24	ga_ls5t_ard_3-0-0_089081_1994-11-17_final
1996-03-28 08:19:53	ga_ls5t_ard_3-0-0_089078_1996-03-27_final
1996-04-03 09:18:04	ga_ls5t_ard_3-1-0_099068_1996-04-02_final
1996-04-14 10:45:29	ga_ls5t_ard_3-0-0_112084_1996-04-14_final
1996-06-09 08:19:12	ga_ls5t_ard_3-0-0_088081_1996-06-08_final
1996-07-31 09:34:07	ga_ls5t_ard_3-0-0_100076_1996-07-31_final
1996-11-02 09:49:02	ga_ls5t_ard_3-0-0_102070_1996-11-02_final
1997-01-02 09:26:37	ga_ls5t_ard_3-0-0_097084_1997-01-01_final
1997-11-15 10:41:58	ga_ls5t_ard_3-0-0_108075_1997-11-15_final
1998-07-20 10:55:12	ga_ls5t_ard_3-0-0_109082_1998-07-20_final
1998-12-14 09:46:17	ga_ls5t_ard_3-0-0_098078_1998-12-14_final
1999-02-24 08:56:44	ga_ls5t_ard_3-0-0_090077_1999-02-23_final
2003-07-06 10:25:40	ga_ls5t_ard_3-0-0_105075_2003-07-06_final
2004-09-10 08:55:49	ga_ls5t_ard_3-0-0_089079_2004-09-09_final
2005-06-24 09:56:56	ga_ls5t_ard_3-0-0_098083_2005-06-24_final
2005-11-17 09:45:48	ga_ls5t_ard_3-0-0_096084_2005-11-17_final
2006-03-06 10:51:06	ga_ls5t_ard_3-0-0_107071_2006-03-06_final
2006-08-06 09:10:48	ga_ls5t_ard_3-0-0_090077_2006-08-05_final
2008-03-08 10:20:14	ga_ls5t_ard_3-0-0_102073_2008-03-08_final
2008-03-16 09:30:38	ga_ls5t_ard_3-0-0_094073_2008-03-16_final
2009-01-31 10:12:58	ga_ls5t_ard_3-0-0_101082_2009-01-31_final
2009-05-23 10:14:58	ga_ls5t_ard_3-0-0_101081_2009-05-23_final
2009-09-10 10:25:32	ga_ls5t_ard_3-0-0_103072_2009-09-10_final
2010-12-08 11:25:27	ga_ls5t_ard_3-0-0_113067_2010-12-08_final
2011-03-01 10:18:26	ga_ls5t_ard_3-0-0_102069_2011-03-01_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years