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

49 results

Time (local)	Label
1987-09-13 09:24:58	ga_ls5t_ard_3-0-0_096086_1987-09-12_final
1987-09-14 10:06:40	ga_ls5t_ard_3-0-0_103082_1987-09-14_final
1987-10-19 09:01:22	ga_ls5t_ard_3-0-0_092087_1987-10-18_final
1987-11-29 08:56:46	ga_ls5t_ard_3-0-0_091089_1987-11-28_final
1987-12-23 09:39:47	ga_ls5t_ard_3-0-0_099072_1987-12-23_final
1988-03-03 09:49:30	ga_ls5t_ard_3-0-0_100078_1988-03-03_final
1988-06-24 10:32:23	ga_ls5t_ard_3-0-0_107075_1988-06-24_final
1989-04-28 10:07:50	ga_ls5t_ard_3-1-0_103080_1989-04-28_final
1989-05-19 10:26:00	ga_ls5t_ard_3-0-0_106080_1989-05-19_final
1989-08-09 10:12:52	ga_ls5t_ard_3-0-0_104082_1989-08-09_final
1989-08-14 08:54:01	ga_ls5t_ard_3-0-0_091086_1989-08-13_final
1989-08-14 10:31:41	ga_ls5t_ard_3-0-0_107083_1989-08-14_final
1990-10-12 11:11:13	ga_ls5t_ard_3-0-0_115076_1990-10-12_final
1990-12-18 08:26:12	ga_ls5t_ard_3-1-0_088081_1990-12-17_final
1991-09-01 10:49:24	ga_ls5t_ard_3-0-0_111073_1991-09-01_final
1991-09-18 09:52:24	ga_ls5t_ard_3-0-0_102069_1991-09-18_final
1992-04-13 09:52:03	ga_ls5t_ard_3-0-0_102068_1992-04-13_final
1993-03-05 10:54:22	ga_ls5t_ard_3-0-0_112074_1993-03-05_final
1993-12-17 10:10:47	ga_ls5t_ard_3-0-0_105074_1993-12-17_final
1994-03-16 10:06:37	ga_ls5t_ard_3-0-0_104082_1994-03-16_final
1994-11-18 08:28:36	ga_ls5t_ard_3-0-0_089084_1994-11-17_final
1995-02-13 08:32:31	ga_ls5t_ard_3-0-0_090086_1995-02-12_final
1995-02-22 08:27:35	ga_ls5t_ard_3-0-0_089090_1995-02-21_final
1995-12-05 08:23:57	ga_ls5t_ard_3-0-0_091077_1995-12-04_final
1996-05-06 10:03:20	ga_ls5t_ard_3-0-0_106068_1996-05-06_final
1996-07-12 10:43:53	ga_ls5t_ard_3-0-0_111083_1996-07-12_final
1997-05-03 11:00:13	ga_ls5t_ard_3-0-0_112074_1997-05-03_final
1997-06-06 09:13:20	ga_ls5t_ard_3-0-0_094082_1997-06-05_final
1997-07-11 09:41:03	ga_ls5t_ard_3-0-0_099071_1997-07-11_final
1997-08-12 09:42:31	ga_ls5t_ard_3-0-0_099072_1997-08-12_final
1997-10-21 09:08:38	ga_ls5t_ard_3-0-0_093075_1997-10-20_final
1998-03-10 09:35:16	ga_ls5t_ard_3-0-0_097072_1998-03-10_final
1999-01-10 11:02:43	ga_ls5t_ard_3-1-0_111068_1999-01-10_final
1999-05-30 09:49:15	ga_ls5t_ard_3-0-0_099072_1999-05-30_final
1999-11-17 11:07:54	ga_ls5t_ard_3-0-0_112074_1999-11-17_final
2004-03-30 10:55:16	ga_ls5t_ard_3-0-0_109080_2004-03-30_final
2004-07-08 08:55:26	ga_ls5t_ard_3-0-0_089082_2004-07-07_final
2004-08-11 10:18:44	ga_ls5t_ard_3-0-0_103072_2004-08-11_final
2004-11-15 10:20:53	ga_ls5t_ard_3-0-0_103072_2004-11-15_final
2004-12-12 10:02:56	ga_ls5t_ard_3-0-0_100072_2004-12-12_final
2005-04-22 10:36:33	ga_ls5t_ard_3-0-0_105075_2005-04-22_final
2005-04-28 10:01:29	ga_ls5t_ard_3-0-0_099080_2005-04-28_final
2006-07-10 09:32:35	ga_ls5t_ard_3-0-0_093086_2006-07-10_final
2007-02-05 10:56:20	ga_ls5t_ard_3-0-0_107074_2007-02-05_final
2009-02-27 11:30:47	ga_ls5t_ard_3-0-0_114074_2009-02-27_final
2009-05-23 10:12:59	ga_ls5t_ard_3-0-0_101076_2009-05-23_final
2009-10-15 09:19:09	ga_ls5t_ard_3-1-0_092075_2009-10-14_final
2009-12-03 10:02:26	ga_ls5t_ard_3-0-0_099074_2009-12-03_final
2009-12-10 10:07:29	ga_ls5t_ard_3-0-0_100071_2009-12-10_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