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

46 results

Time (local)	Label
1987-07-31 08:59:25	ga_ls5t_ard_3-0-0_092087_1987-07-30_final
1987-11-16 11:00:21	ga_ls5t_ard_3-0-0_112074_1987-11-16_final
1988-01-09 08:50:50	ga_ls5t_ard_3-0-0_090088_1988-01-08_final
1988-07-09 09:47:35	ga_ls5t_ard_3-0-0_100071_1988-07-09_final
1989-02-08 10:52:42	ga_ls5t_ard_3-0-0_110081_1989-02-08_final
1989-07-28 09:46:25	ga_ls5t_ard_3-0-0_100077_1989-07-28_final
1989-10-01 08:51:46	ga_ls5t_ard_3-0-0_091083_1989-09-30_final
1989-11-27 10:22:20	ga_ls5t_ard_3-0-0_106082_1989-11-27_final
1990-04-04 08:39:30	ga_ls5t_ard_3-0-0_090082_1990-04-03_final
1990-06-05 08:54:50	ga_ls5t_ard_3-0-0_092089_1990-06-04_final
1990-06-09 08:26:55	ga_ls5t_ard_3-1-0_088081_1990-06-08_final
1990-07-14 10:33:50	ga_ls5t_ard_3-0-0_109074_1990-07-14_final
1990-09-27 10:13:18	ga_ls5t_ard_3-0-0_106070_1990-09-27_final
1991-08-02 10:37:12	ga_ls5t_ard_3-0-0_109074_1991-08-02_final
1993-03-10 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-10_final
1993-11-12 09:41:16	ga_ls5t_ard_3-0-0_100077_1993-11-12_final
1994-04-27 10:40:10	ga_ls5t_ard_3-0-0_110075_1994-04-27_final
1994-08-16 09:56:44	ga_ls5t_ard_3-0-0_103081_1994-08-16_final
1996-02-01 09:02:01	ga_ls5t_ard_3-0-0_097069_1996-01-31_final
1996-07-14 10:28:50	ga_ls5t_ard_3-0-0_109076_1996-07-14_final
1996-07-21 10:34:36	ga_ls5t_ard_3-1-0_110074_1996-07-21_final
1996-11-15 10:59:14	ga_ls5t_ard_3-0-0_113074_1996-11-15_final
1996-12-02 10:05:13	ga_ls5t_ard_3-0-0_104076_1996-12-02_final
1997-05-14 10:42:02	ga_ls5t_ard_3-0-0_109074_1997-05-14_final
1997-06-22 10:49:58	ga_ls5t_ard_3-0-0_110075_1997-06-22_final
1998-04-13 11:00:15	ga_ls5t_ard_3-0-0_111067_1998-04-13_final
1998-05-17 10:51:11	ga_ls5t_ard_3-0-0_109074_1998-05-17_final
1998-08-29 10:03:19	ga_ls5t_ard_3-0-0_101075_1998-08-29_final
1999-03-03 10:40:33	ga_ls5t_ard_3-0-0_107074_1999-03-03_final
1999-08-02 09:50:50	ga_ls5t_ard_3-0-0_099077_1999-08-02_final
1999-08-06 11:06:34	ga_ls5t_ard_3-0-0_111081_1999-08-06_final
1999-08-18 11:29:10	ga_ls5t_ard_3-0-0_115076_1999-08-18_final
2003-08-13 09:51:13	ga_ls5t_ard_3-0-0_099080_2003-08-13_final
2003-09-08 10:27:11	ga_ls5t_ard_3-0-0_105076_2003-09-08_final
2003-10-06 10:51:54	ga_ls5t_ard_3-0-0_109075_2003-10-06_final
2004-11-19 10:00:36	ga_ls5t_ard_3-0-0_099083_2004-11-19_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2005-07-14 11:07:38	ga_ls5t_ard_3-0-0_110074_2005-07-14_final
2005-08-18 09:58:46	ga_ls5t_ard_3-0-0_099071_2005-08-18_final
2006-06-28 10:42:35	ga_ls5t_ard_3-0-0_105076_2006-06-28_final
2007-01-06 10:44:38	ga_ls5t_ard_3-0-0_105076_2007-01-06_final
2008-01-22 10:10:18	ga_ls5t_ard_3-0-0_100077_2008-01-22_final
2008-02-08 10:50:29	ga_ls5t_ard_3-0-0_107070_2008-02-08_final
2008-03-04 09:11:20	ga_ls5t_ard_3-0-0_090086_2008-03-03_final
2009-02-13 09:43:11	ga_ls5t_ard_3-0-0_096084_2009-02-13_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years