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

63 results

Time (local)	Label
1987-05-30 10:16:59	ga_ls5t_ard_3-0-0_106068_1987-05-30_final
1987-10-08 09:11:44	ga_ls5t_ard_3-0-0_095067_1987-10-07_final
1987-11-18 10:47:14	ga_ls5t_ard_3-0-0_110072_1987-11-18_final
1987-11-28 09:45:12	ga_ls5t_ard_3-0-0_100071_1987-11-28_final
1987-12-25 11:10:44	ga_ls5t_ard_3-1-0_113083_1987-12-25_final
1988-07-03 08:52:57	ga_ls5t_ard_3-0-0_090089_1988-07-02_final
1988-12-11 09:29:35	ga_ls5t_ard_3-0-0_097073_1988-12-10_final
1989-01-26 09:43:52	ga_ls5t_ard_3-0-0_099079_1989-01-26_final
1989-10-18 09:33:09	ga_ls5t_ard_3-0-0_098080_1989-10-18_final
1990-04-24 09:53:30	ga_ls5t_ard_3-0-0_102081_1990-04-24_final
1990-05-03 09:45:35	ga_ls5t_ard_3-0-0_101077_1990-05-03_final
1990-07-10 09:18:06	ga_ls5t_ard_3-0-0_097070_1990-07-09_final
1990-08-27 09:17:28	ga_ls5t_ard_3-0-0_097069_1990-08-26_final
1990-10-21 09:23:41	ga_ls5t_ard_3-0-0_098070_1990-10-20_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-09-03 10:37:53	ga_ls5t_ard_3-0-0_109075_1991-09-03_final
1991-11-04 09:10:34	ga_ls5t_ard_3-0-0_095072_1991-11-03_final
1991-12-11 09:32:13	ga_ls5t_ard_3-0-0_098079_1991-12-11_final
1992-09-15 09:32:50	ga_ls5t_ard_3-0-0_099071_1992-09-15_final
1992-10-16 08:55:45	ga_ls5t_ard_3-0-0_092088_1992-10-15_final
1992-12-30 08:33:32	ga_ls5t_ard_3-0-0_089079_1992-12-29_final
1993-07-16 11:14:48	ga_ls5t_ard_3-0-0_115078_1993-07-16_final
1993-11-30 09:29:14	ga_ls5t_ard_3-0-0_098078_1993-11-29_final
1994-01-13 09:54:41	ga_ls5t_ard_3-0-0_102081_1994-01-13_final
1994-04-05 09:39:58	ga_ls5t_ard_3-0-0_100078_1994-04-05_final
1994-07-29 08:29:52	ga_ls5t_ard_3-0-0_089079_1994-07-28_final
1995-01-09 09:38:18	ga_ls5t_ard_3-0-0_101077_1995-01-09_final
1995-01-11 09:26:16	ga_ls5t_ard_3-0-0_099078_1995-01-10_final
1995-12-29 09:11:59	ga_ls5t_ard_3-0-0_099069_1995-12-28_final
1996-02-13 09:31:10	ga_ls5t_ard_3-0-0_101078_1996-02-13_final
1996-07-01 09:17:47	ga_ls5t_ard_3-0-0_098070_1996-06-30_final
1996-07-02 08:25:24	ga_ls5t_ard_3-0-0_089078_1996-07-01_final
1996-08-30 09:50:05	ga_ls5t_ard_3-0-0_102081_1996-08-30_final
1996-10-28 11:12:20	ga_ls5t_ard_3-0-0_115078_1996-10-28_final
1997-02-26 09:35:14	ga_ls5t_ard_3-0-0_098084_1997-02-26_final
1998-02-20 09:45:45	ga_ls5t_ard_3-1-0_099068_1998-02-20_final
1998-09-16 09:49:06	ga_ls5t_ard_3-0-0_099070_1998-09-16_final
1999-06-30 09:12:02	ga_ls5t_ard_3-0-0_092088_1999-06-29_final
1999-08-18 09:48:41	ga_ls5t_ard_3-0-0_099072_1999-08-18_final
1999-10-29 09:00:00	ga_ls5t_ard_3-0-0_091077_1999-10-28_final
1999-11-10 11:02:00	ga_ls5t_ard_3-0-0_111074_1999-11-10_final
2003-12-07 09:24:55	ga_ls5t_ard_3-0-0_095072_2003-12-06_final
2004-02-28 09:58:42	ga_ls5t_ard_3-0-0_100078_2004-02-28_final
2004-04-02 09:48:35	ga_ls5t_ard_3-0-0_098083_2004-04-02_final
2004-06-28 11:33:50	ga_ls5t_ard_3-0-0_115077_2004-06-28_final
2004-10-04 09:48:12	ga_ls5t_ard_3-0-0_097085_2004-10-04_final
2005-02-17 08:58:43	ga_ls5t_ard_3-0-0_089079_2005-02-16_final
2005-06-23 09:16:04	ga_ls5t_ard_3-0-0_091089_2005-06-22_final
2005-07-22 10:21:29	ga_ls5t_ard_3-0-0_102082_2005-07-22_final
2006-05-01 11:43:08	ga_ls5t_ard_3-0-0_115075_2006-05-01_final
2006-10-23 09:27:40	ga_ls5t_ard_3-0-0_092086_2006-10-22_final
2006-10-25 09:11:44	ga_ls5t_ard_3-0-0_090077_2006-10-24_final
2007-02-13 10:04:54	ga_ls5t_ard_3-0-0_099069_2007-02-13_final
2007-03-20 10:40:56	ga_ls5t_ard_3-0-0_104082_2007-03-20_final
2007-05-04 10:08:34	ga_ls5t_ard_3-0-0_099079_2007-05-04_final
2007-05-13 10:01:54	ga_ls5t_ard_3-0-0_098078_2007-05-13_final
2007-05-30 09:06:26	ga_ls5t_ard_3-0-0_089079_2007-05-29_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2007-07-14 10:10:34	ga_ls5t_ard_3-0-0_100071_2007-07-14_final
2010-03-30 10:24:11	ga_ls5t_ard_3-0-0_102081_2010-03-30_final
2010-04-26 10:04:45	ga_ls5t_ard_3-0-0_099079_2010-04-26_final
2010-09-13 10:29:38	ga_ls5t_ard_3-0-0_103081_2010-09-13_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