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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

63 results

Time (local)	Label
1987-10-15 10:59:44	ga_ls5t_ard_3-0-0_112074_1987-10-15_final
1987-11-28 09:45:12	ga_ls5t_ard_3-0-0_100071_1987-11-28_final
1988-05-21 10:44:09	ga_ls5t_ard_3-0-0_109074_1988-05-21_final
1988-05-27 10:09:53	ga_ls5t_ard_3-0-0_103081_1988-05-27_final
1988-12-29 11:00:24	ga_ls5t_ard_3-0-0_111084_1988-12-29_final
1989-02-28 10:22:35	ga_ls5t_ard_3-0-0_106068_1989-02-28_final
1989-05-30 10:07:46	ga_ls5t_ard_3-0-0_103081_1989-05-30_final
1989-07-20 09:00:43	ga_ls5t_ard_3-0-0_092086_1989-07-19_final
1989-11-27 10:18:44	ga_ls5t_ard_3-1-0_106073_1989-11-27_final
1989-11-28 09:27:30	ga_ls5t_ard_3-0-0_097084_1989-11-27_final
1990-07-09 10:16:07	ga_ls5t_ard_3-0-0_106076_1990-07-09_final
1990-07-24 09:31:35	ga_ls5t_ard_3-0-0_099073_1990-07-24_final
1991-02-18 08:39:35	ga_ls5t_ard_3-0-0_090080_1991-02-17_final
1991-07-01 09:02:47	ga_ls5t_ard_3-0-0_093086_1991-06-30_final
1991-07-20 09:33:07	ga_ls5t_ard_3-0-0_098084_1991-07-20_final
1992-02-17 10:46:50	ga_ls5t_ard_3-0-0_110081_1992-02-17_final
1992-06-16 09:56:36	ga_ls5t_ard_3-0-0_102081_1992-06-16_final
1992-12-27 09:40:42	ga_ls5t_ard_3-0-0_100077_1992-12-27_final
1993-01-09 09:08:46	ga_ls5t_ard_3-0-0_095074_1993-01-08_final
1993-09-11 09:29:41	ga_ls5t_ard_3-0-0_098078_1993-09-10_final
1993-09-24 10:36:01	ga_ls5t_ard_3-0-0_109074_1993-09-24_final
1993-11-09 10:46:54	ga_ls5t_ard_3-1-0_111071_1993-11-09_final
1994-04-20 10:33:43	ga_ls5t_ard_3-0-0_109074_1994-04-20_final
1995-08-29 10:16:55	ga_ls5t_ard_3-0-0_109075_1995-08-29_final
1996-05-06 08:29:38	ga_ls5t_ard_3-0-0_090081_1996-05-05_final
1996-11-17 10:46:57	ga_ls5t_ard_3-0-0_111074_1996-11-17_final
1997-08-05 09:40:54	ga_ls5t_ard_3-0-0_098084_1997-08-05_final
1997-10-15 09:46:21	ga_ls5t_ard_3-0-0_099077_1997-10-15_final
2003-09-08 10:27:11	ga_ls5t_ard_3-0-0_105076_2003-09-08_final
2004-03-01 09:48:44	ga_ls5t_ard_3-0-0_098084_2004-03-01_final
2004-04-10 10:35:30	ga_ls5t_ard_3-0-0_106076_2004-04-10_final
2004-06-29 10:37:51	ga_ls5t_ard_3-0-0_106076_2004-06-29_final
2004-07-27 11:02:30	ga_ls5t_ard_3-1-0_110074_2004-07-27_final
2004-08-03 09:35:06	ga_ls5t_ard_3-1-0_095087_2004-08-03_final
2004-10-19 10:40:10	ga_ls5t_ard_3-0-0_106075_2004-10-19_final
2004-10-22 09:36:38	ga_ls5t_ard_3-0-0_095086_2004-10-22_final
2004-11-08 10:18:13	ga_ls5t_ard_3-0-0_102081_2004-11-08_final
2004-12-06 09:03:00	ga_ls5t_ard_3-0-0_090077_2004-12-05_final
2004-12-06 10:41:05	ga_ls5t_ard_3-0-0_106075_2004-12-06_final
2005-01-07 10:41:59	ga_ls5t_ard_3-0-0_106076_2005-01-07_final
2005-01-11 10:19:18	ga_ls5t_ard_3-0-0_102081_2005-01-11_final
2005-04-27 10:55:31	ga_ls5t_ard_3-0-0_108076_2005-04-27_final
2005-06-14 10:54:42	ga_ls5t_ard_3-0-0_108073_2005-06-14_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2005-08-03 10:43:31	ga_ls5t_ard_3-0-0_106075_2005-08-03_final
2005-08-17 10:55:35	ga_ls5t_ard_3-0-0_108074_2005-08-17_final
2005-09-04 10:44:06	ga_ls5t_ard_3-0-0_106076_2005-09-04_final
2005-09-13 10:37:32	ga_ls5t_ard_3-0-0_105075_2005-09-13_final
2005-09-28 09:57:26	ga_ls5t_ard_3-0-0_098083_2005-09-28_final
2006-09-05 11:01:14	ga_ls5t_ard_3-0-0_108074_2006-09-05_final
2006-11-03 10:43:43	ga_ls5t_ard_3-0-0_105075_2006-11-03_final
2006-12-26 11:02:18	ga_ls5t_ard_3-0-0_108074_2006-12-26_final
2006-12-28 09:16:40	ga_ls5t_ard_3-0-0_090088_2006-12-27_final
2007-01-26 10:22:25	ga_ls5t_ard_3-0-0_101082_2007-01-26_final
2007-02-13 10:08:54	ga_ls5t_ard_3-0-0_099079_2007-02-13_final
2007-04-28 10:44:30	ga_ls5t_ard_3-0-0_105076_2007-04-28_final
2007-06-18 11:16:41	ga_ls5t_ard_3-0-0_110081_2007-06-18_final
2008-04-04 09:59:55	ga_ls5t_ard_3-0-0_099070_2008-04-04_final
2009-01-22 10:15:18	ga_ls5t_ard_3-0-0_102073_2009-01-22_final
2009-02-18 09:59:28	ga_ls5t_ard_3-0-0_099078_2009-02-18_final
2009-04-15 10:48:57	ga_ls5t_ard_3-0-0_107075_2009-04-15_final
2009-09-22 10:51:36	ga_ls5t_ard_3-0-0_107075_2009-09-22_final
2010-09-05 09:41:50	ga_ls5t_ard_3-0-0_095085_2010-09-05_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