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

57 results

Time (local)	Label
1987-09-15 09:07:28	ga_ls5t_ard_3-0-0_094073_1987-09-14_final
1987-09-25 09:45:58	ga_ls5t_ard_3-0-0_100076_1987-09-25_final
1988-02-17 08:57:43	ga_ls5t_ard_3-0-0_091088_1988-02-16_final
1988-05-30 08:59:32	ga_ls5t_ard_3-0-0_092075_1988-05-29_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-11-13 09:09:49	ga_ls5t_ard_3-0-0_093085_1988-11-12_final
1988-12-10 10:24:25	ga_ls5t_ard_3-0-0_106071_1988-12-10_final
1989-01-09 10:37:49	ga_ls5t_ard_3-0-0_108074_1989-01-09_final
1989-01-11 10:28:36	ga_ls5t_ard_3-0-0_106082_1989-01-11_final
1989-10-11 11:06:13	ga_ls5t_ard_3-0-0_113080_1989-10-11_final
1990-02-18 10:47:30	ga_ls5t_ard_3-0-0_111074_1990-02-18_final
1990-07-17 09:29:49	ga_ls5t_ard_3-1-0_098084_1990-07-16_final
1990-08-04 10:54:39	ga_ls5t_ard_3-0-0_112080_1990-08-04_final
1991-04-11 09:54:42	ga_ls5t_ard_3-0-0_102080_1991-04-11_final
1991-09-06 11:10:26	ga_ls5t_ard_3-0-0_114079_1991-09-06_final
1991-09-07 08:35:32	ga_ls5t_ard_3-0-0_089078_1991-09-06_final
1991-09-10 10:43:45	ga_ls5t_ard_3-0-0_110074_1991-09-10_final
1992-10-18 10:19:52	ga_ls5t_ard_3-0-0_106082_1992-10-18_final
1993-07-29 09:00:36	ga_ls5t_ard_3-0-0_094067_1993-07-28_final
1994-12-04 10:06:12	ga_ls5t_ard_3-0-0_105082_1994-12-04_final
1994-12-07 08:59:19	ga_ls5t_ard_3-0-0_094085_1994-12-06_final
1995-03-10 09:59:51	ga_ls5t_ard_3-0-0_105075_1995-03-10_final
1996-07-25 10:07:42	ga_ls5t_ard_3-0-0_106068_1996-07-25_final
1996-08-10 10:09:44	ga_ls5t_ard_3-0-0_106071_1996-08-10_final
1997-01-13 10:43:30	ga_ls5t_ard_3-1-0_110074_1997-01-13_final
1998-02-08 11:01:41	ga_ls5t_ard_3-0-0_111073_1998-02-08_final
1998-04-15 10:50:42	ga_ls5t_ard_3-0-0_109074_1998-04-15_final
1998-07-27 10:58:14	ga_ls5t_ard_3-1-0_110074_1998-07-27_final
1998-10-06 11:04:31	ga_ls5t_ard_3-0-0_111073_1998-10-06_final
1998-12-29 09:02:46	ga_ls5t_ard_3-0-0_091077_1998-12-28_final
1999-03-01 09:14:03	ga_ls5t_ard_3-0-0_093074_1999-02-28_final
1999-05-04 10:52:24	ga_ls5t_ard_3-0-0_109074_1999-05-04_final
1999-08-19 10:35:07	ga_ls5t_ard_3-0-0_106080_1999-08-19_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2004-02-04 09:13:07	ga_ls5t_ard_3-0-0_092088_2004-02-03_final
2004-03-04 10:16:03	ga_ls5t_ard_3-0-0_103075_2004-03-04_final
2004-08-15 11:35:48	ga_ls5t_ard_3-0-0_115079_2004-08-15_final
2004-08-22 10:02:29	ga_ls5t_ard_3-0-0_100077_2004-08-22_final
2004-09-01 10:39:26	ga_ls5t_ard_3-0-0_106076_2004-09-01_final
2004-09-17 10:39:52	ga_ls5t_ard_3-0-0_106076_2004-09-17_final
2005-01-03 11:03:04	ga_ls5t_ard_3-0-0_110067_2005-01-03_final
2005-02-13 11:00:15	ga_ls5t_ard_3-0-0_109074_2005-02-13_final
2005-08-28 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-08-28_final
2006-01-20 11:22:11	ga_ls5t_ard_3-0-0_112074_2006-01-20_final
2006-06-26 10:54:31	ga_ls5t_ard_3-0-0_107075_2006-06-26_final
2006-10-22 10:21:17	ga_ls5t_ard_3-0-0_101081_2006-10-22_final
2006-11-11 09:56:21	ga_ls5t_ard_3-0-0_097080_2006-11-11_final
2006-11-20 09:45:03	ga_ls5t_ard_3-1-0_096067_2006-11-20_final
2007-02-05 10:59:07	ga_ls5t_ard_3-0-0_107081_2007-02-05_final
2007-02-28 11:02:31	ga_ls5t_ard_3-0-0_108074_2007-02-28_final
2007-03-14 11:12:03	ga_ls5t_ard_3-0-0_110067_2007-03-14_final
2007-07-30 10:12:50	ga_ls5t_ard_3-0-0_100077_2007-07-30_final
2008-04-27 10:07:55	ga_ls5t_ard_3-0-0_100076_2008-04-27_final
2009-01-21 09:35:37	ga_ls5t_ard_3-0-0_095082_2009-01-21_final
2009-05-26 10:41:08	ga_ls5t_ard_3-0-0_106069_2009-05-26_final
2010-01-20 10:00:44	ga_ls5t_ard_3-0-0_099069_2010-01-20_final
2010-12-05 10:57:21	ga_ls5t_ard_3-0-0_108074_2010-12-05_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