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

55 results

Time (local)	Label
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1988-07-08 10:44:24	ga_ls5t_ard_3-0-0_109074_1988-07-08_final
1988-10-18 10:06:48	ga_ls5t_ard_3-0-0_103073_1988-10-18_final
1989-06-02 10:35:49	ga_ls5t_ard_3-0-0_108074_1989-06-02_final
1989-07-28 09:44:02	ga_ls5t_ard_3-0-0_100071_1989-07-28_final
1989-10-08 08:56:59	ga_ls5t_ard_3-0-0_092081_1989-10-07_final
1990-10-27 08:52:57	ga_ls5t_ard_3-0-0_092086_1990-10-26_final
1991-01-14 09:47:41	ga_ls5t_ard_3-0-0_101082_1991-01-14_final
1991-02-02 08:41:39	ga_ls5t_ard_3-0-0_090086_1991-02-01_final
1991-05-23 08:51:38	ga_ls5t_ard_3-0-0_092075_1991-05-22_final
1992-05-19 09:33:47	ga_ls5t_ard_3-0-0_098085_1992-05-19_final
1992-06-03 08:52:00	ga_ls5t_ard_3-0-0_091089_1992-06-02_final
1992-06-10 08:57:18	ga_ls5t_ard_3-0-0_092087_1992-06-09_final
1992-11-17 08:54:04	ga_ls5t_ard_3-0-0_092085_1992-11-16_final
1993-02-21 08:56:13	ga_ls5t_ard_3-0-0_092088_1993-02-20_final
1993-05-19 10:39:49	ga_ls5t_ard_3-0-0_109083_1993-05-19_final
1993-12-27 09:08:05	ga_ls5t_ard_3-0-0_095072_1993-12-26_final
1994-04-18 10:45:42	ga_ls5t_ard_3-0-0_111073_1994-04-18_final
1995-01-30 09:58:02	ga_ls5t_ard_3-0-0_104082_1995-01-30_final
1995-02-20 08:34:02	ga_ls5t_ard_3-1-0_091075_1995-02-19_final
1995-03-27 09:07:07	ga_ls5t_ard_3-0-0_096084_1995-03-26_final
1995-09-30 10:15:19	ga_ls5t_ard_3-0-0_109075_1995-09-30_final
1995-10-21 10:32:19	ga_ls5t_ard_3-0-0_112074_1995-10-21_final
1996-04-26 09:29:39	ga_ls5t_ard_3-0-0_100078_1996-04-25_final
1998-01-02 10:43:08	ga_ls5t_ard_3-0-0_108075_1998-01-02_final
1998-03-02 08:48:29	ga_ls5t_ard_3-0-0_089079_1998-03-01_final
1998-04-29 11:06:02	ga_ls5t_ard_3-0-0_111081_1998-04-29_final
1999-02-19 10:13:30	ga_ls5t_ard_3-0-0_103068_1999-02-19_final
1999-09-03 09:50:15	ga_ls5t_ard_3-0-0_099077_1999-09-03_final
1999-09-23 11:01:48	ga_ls5t_ard_3-0-0_111072_1999-09-23_final
1999-11-06 09:46:22	ga_ls5t_ard_3-0-0_099070_1999-11-06_final
2003-08-20 09:56:20	ga_ls5t_ard_3-1-0_100077_2003-08-20_final
2003-09-08 10:26:47	ga_ls5t_ard_3-0-0_105075_2003-09-08_final
2003-09-23 11:22:14	ga_ls5t_ard_3-0-0_114074_2003-09-23_final
2004-04-04 11:08:48	ga_ls5t_ard_3-1-0_112067_2004-04-04_final
2004-12-11 11:00:08	ga_ls5t_ard_3-0-0_109076_2004-12-11_final
2005-01-21 10:53:44	ga_ls5t_ard_3-0-0_108074_2005-01-21_final
2005-05-20 11:05:03	ga_ls5t_ard_3-0-0_109084_2005-05-20_final
2005-10-06 10:44:03	ga_ls5t_ard_3-0-0_106076_2005-10-06_final
2006-05-01 10:05:27	ga_ls5t_ard_3-0-0_099078_2006-05-01_final
2006-06-03 09:14:17	ga_ls5t_ard_3-0-0_090088_2006-06-02_final
2006-07-10 11:07:05	ga_ls5t_ard_3-0-0_109075_2006-07-10_final
2006-09-16 10:43:13	ga_ls5t_ard_3-0-0_105075_2006-09-16_final
2006-09-27 10:24:00	ga_ls5t_ard_3-0-0_102073_2006-09-27_final
2006-10-25 09:16:31	ga_ls5t_ard_3-0-0_090089_2006-10-24_final
2007-05-22 11:32:53	ga_ls5t_ard_3-0-0_113074_2007-05-22_final
2007-07-03 10:28:00	ga_ls5t_ard_3-0-0_103068_2007-07-03_final
2007-07-19 10:33:04	ga_ls5t_ard_3-0-0_103081_2007-07-19_final
2009-01-21 09:32:01	ga_ls5t_ard_3-0-0_095073_2009-01-21_final
2009-08-03 09:23:59	ga_ls5t_ard_3-0-0_093074_2009-08-02_final
2009-10-16 10:00:02	ga_ls5t_ard_3-0-0_099069_2009-10-16_final
2009-11-28 11:22:43	ga_ls5t_ard_3-0-0_112074_2009-11-28_final
2010-11-11 10:09:05	ga_ls5t_ard_3-0-0_100077_2010-11-11_final
2010-11-29 11:36:50	ga_ls5t_ard_3-1-0_114080_2010-11-29_final
2010-12-13 10:07:08	ga_ls5t_ard_3-0-0_100072_2010-12-13_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