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
1987-05-28 08:57:36	ga_ls5t_ard_3-0-0_092086_1987-05-27_final
1987-09-19 08:48:50	ga_ls5t_ard_3-0-0_090088_1987-09-18_final
1988-12-09 09:39:58	ga_ls5t_ard_3-0-0_099068_1988-12-09_final
1988-12-10 08:51:07	ga_ls5t_ard_3-0-0_090085_1988-12-09_final
1989-03-08 09:34:07	ga_ls5t_ard_3-0-0_098071_1989-03-08_final
1989-09-27 10:51:25	ga_ls5t_ard_3-0-0_111073_1989-09-27_final
1989-11-14 10:49:54	ga_ls5t_ard_3-0-0_111073_1989-11-14_final
1989-12-10 09:49:05	ga_ls5t_ard_3-0-0_101077_1989-12-10_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1991-03-27 08:58:01	ga_ls5t_ard_3-0-0_093078_1991-03-26_final
1991-04-29 09:43:02	ga_ls5t_ard_3-0-0_100081_1991-04-29_final
1991-08-07 10:52:59	ga_ls5t_ard_3-1-0_112067_1991-08-07_final
1991-09-28 08:53:24	ga_ls5t_ard_3-0-0_092076_1991-09-27_final
1991-11-20 10:50:17	ga_ls5t_ard_3-0-0_111074_1991-11-20_final
1992-04-14 10:38:54	ga_ls5t_ard_3-0-0_109077_1992-04-14_final
1992-08-28 09:50:14	ga_ls5t_ard_3-0-0_101083_1992-08-28_final
1992-09-18 10:02:29	ga_ls5t_ard_3-0-0_104068_1992-09-18_final
1993-03-21 09:18:44	ga_ls5t_ard_3-0-0_096082_1993-03-20_final
1993-08-27 08:36:05	ga_ls5t_ard_3-0-0_089083_1993-08-26_final
1993-10-22 09:19:42	ga_ls5t_ard_3-1-0_097069_1993-10-21_final
1994-03-24 09:18:15	ga_ls5t_ard_3-0-0_096085_1994-03-23_final
1994-05-17 08:41:23	ga_ls5t_ard_3-0-0_090088_1994-05-16_final
1994-06-10 09:23:35	ga_ls5t_ard_3-0-0_098071_1994-06-09_final
1994-06-18 08:36:22	ga_ls5t_ard_3-0-0_090077_1994-06-17_final
1995-07-30 10:09:08	ga_ls5t_ard_3-0-0_107083_1995-07-30_final
1995-10-14 10:26:08	ga_ls5t_ard_3-0-0_111073_1995-10-14_final
1995-12-14 09:55:44	ga_ls5t_ard_3-0-0_106073_1995-12-14_final
1997-01-31 10:35:32	ga_ls5t_ard_3-0-0_108083_1997-01-31_final
1997-02-18 10:18:21	ga_ls5t_ard_3-0-0_106069_1997-02-18_final
1997-05-28 10:54:30	ga_ls5t_ard_3-0-0_111073_1997-05-28_final
1997-09-21 10:37:31	ga_ls5t_ard_3-0-0_107083_1997-09-21_final
1998-03-18 10:25:38	ga_ls5t_ard_3-0-0_105074_1998-03-18_final
2003-11-29 10:17:56	ga_ls5t_ard_3-0-0_103081_2003-11-29_final
2003-12-04 10:32:30	ga_ls5t_ard_3-0-0_106071_2003-12-04_final
2003-12-18 10:46:10	ga_ls5t_ard_3-0-0_108074_2003-12-18_final
2004-05-02 09:58:15	ga_ls5t_ard_3-0-0_100074_2004-05-02_final
2004-06-25 09:27:57	ga_ls5t_ard_3-0-0_094087_2004-06-24_final
2005-04-29 09:04:41	ga_ls5t_ard_3-0-0_090077_2005-04-28_final
2005-10-21 10:01:58	ga_ls5t_ard_3-0-0_099079_2005-10-21_final
2005-11-08 11:29:51	ga_ls5t_ard_3-0-0_113082_2005-11-08_final
2006-07-04 10:06:47	ga_ls5t_ard_3-0-0_099079_2006-07-04_final
2006-10-16 10:55:31	ga_ls5t_ard_3-0-0_107074_2006-10-16_final
2006-10-24 10:09:20	ga_ls5t_ard_3-0-0_099082_2006-10-24_final
2007-01-14 09:56:03	ga_ls5t_ard_3-0-0_097078_2007-01-14_final
2007-03-11 10:41:57	ga_ls5t_ard_3-0-0_105069_2007-03-11_final
2007-05-10 11:08:42	ga_ls5t_ard_3-0-0_109075_2007-05-10_final
2007-08-24 10:03:12	ga_ls5t_ard_3-0-0_099069_2007-08-24_final
2008-01-25 10:40:44	ga_ls5t_ard_3-0-0_105076_2008-01-25_final
2008-02-14 10:16:05	ga_ls5t_ard_3-0-0_101077_2008-02-14_final
2008-08-14 11:11:39	ga_ls5t_ard_3-0-0_111073_2008-08-14_final
2009-02-08 09:25:43	ga_ls5t_ard_3-0-0_093087_2009-02-07_final
2009-02-18 10:01:51	ga_ls5t_ard_3-0-0_099084_2009-02-18_final
2009-05-09 11:38:51	ga_ls5t_ard_3-0-0_115075_2009-05-09_final
2009-07-27 09:18:05	ga_ls5t_ard_3-0-0_092075_2009-07-26_final
2010-03-24 09:25:12	ga_ls5t_ard_3-0-0_092088_2010-03-23_final
2011-08-31 10:22:57	ga_ls5t_ard_3-0-0_103068_2011-08-31_final
2011-09-29 09:58:00	ga_ls5t_ard_3-0-0_098084_2011-09-29_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