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

52 results

Time (local)	Label
1986-08-23 09:25:54	ga_ls5t_ard_3-0-0_098071_1986-08-22_final
1987-05-29 09:34:06	ga_ls5t_ard_3-0-0_099069_1987-05-29_final
1987-10-11 09:44:18	ga_ls5t_ard_3-0-0_100071_1987-10-11_final
1987-11-29 10:29:17	ga_ls5t_ard_3-0-0_107073_1987-11-29_final
1987-12-18 09:21:34	ga_ls5t_ard_3-0-0_096073_1987-12-17_final
1988-05-31 09:44:25	ga_ls5t_ard_3-0-0_099079_1988-05-31_final
1988-07-11 09:40:25	ga_ls5t_ard_3-0-0_098084_1988-07-11_final
1988-09-22 11:12:21	ga_ls5t_ard_3-0-0_113082_1988-09-22_final
1988-11-23 09:40:32	ga_ls5t_ard_3-0-0_099069_1988-11-23_final
1988-12-02 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-12-02_final
1989-02-11 09:43:55	ga_ls5t_ard_3-0-0_099079_1989-02-11_final
1989-07-05 09:40:42	ga_ls5t_ard_3-0-0_099077_1989-07-05_final
1989-07-14 09:33:08	ga_ls5t_ard_3-0-0_098074_1989-07-14_final
1989-08-06 09:37:39	ga_ls5t_ard_3-0-0_099071_1989-08-06_final
1989-12-14 09:21:05	ga_ls5t_ard_3-0-0_097069_1989-12-13_final
1990-07-01 09:29:29	ga_ls5t_ard_3-0-0_098083_1990-06-30_final
1990-09-10 09:30:34	ga_ls5t_ard_3-0-0_099071_1990-09-10_final
1991-02-01 09:34:29	ga_ls5t_ard_3-0-0_099079_1991-02-01_final
1992-06-11 09:37:21	ga_ls5t_ard_3-0-0_099079_1992-06-11_final
1993-05-14 10:15:16	ga_ls5t_ard_3-0-0_106068_1993-05-14_final
1993-06-30 09:36:20	ga_ls5t_ard_3-0-0_099079_1993-06-30_final
1993-08-19 09:23:33	ga_ls5t_ard_3-0-0_097078_1993-08-18_final
1994-05-17 10:12:17	ga_ls5t_ard_3-0-0_106068_1994-05-17_final
1994-12-19 09:21:16	ga_ls5t_ard_3-0-0_098079_1994-12-18_final
1995-07-22 09:18:27	ga_ls5t_ard_3-0-0_099079_1995-07-21_final
1995-08-31 08:31:10	ga_ls5t_ard_3-0-0_091089_1995-08-30_final
1995-11-27 09:13:44	ga_ls5t_ard_3-0-0_099079_1995-11-26_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-03-01 08:39:52	ga_ls5t_ard_3-0-0_092086_1996-02-29_final
1996-11-15 10:59:14	ga_ls5t_ard_3-0-0_113074_1996-11-15_final
1996-12-15 11:13:25	ga_ls5t_ard_3-0-0_115075_1996-12-15_final
1997-02-12 09:17:06	ga_ls5t_ard_3-0-0_096071_1997-02-11_final
1997-04-06 11:18:11	ga_ls5t_ard_3-0-0_115075_1997-04-06_final
1997-06-24 10:37:41	ga_ls5t_ard_3-0-0_108075_1997-06-24_final
1997-09-13 09:45:28	ga_ls5t_ard_3-0-0_099077_1997-09-13_final
1998-04-12 08:44:05	ga_ls5t_ard_3-1-0_088082_1998-04-11_final
1998-09-16 11:31:10	ga_ls5t_ard_3-0-0_115078_1998-09-16_final
2003-06-12 11:17:46	ga_ls5t_ard_3-0-0_113083_2003-06-12_final
2003-10-25 09:41:22	ga_ls5t_ard_3-0-0_098068_2003-10-25_final
2006-03-02 11:20:55	ga_ls5t_ard_3-0-0_111084_2006-03-02_final
2006-04-17 09:52:52	ga_ls5t_ard_3-0-0_097078_2006-04-17_final
2006-04-24 09:59:10	ga_ls5t_ard_3-0-0_098078_2006-04-24_final
2006-10-02 10:43:48	ga_ls5t_ard_3-0-0_105076_2006-10-02_final
2006-12-21 09:06:50	ga_ls5t_ard_3-0-0_089079_2006-12-20_final
2008-03-12 09:54:14	ga_ls5t_ard_3-0-0_098070_2008-03-12_final
2008-10-29 09:54:21	ga_ls5t_ard_3-0-0_099071_2008-10-29_final
2009-01-17 09:59:01	ga_ls5t_ard_3-0-0_099079_2009-01-17_final
2009-03-15 09:49:53	ga_ls5t_ard_3-0-0_098068_2009-03-15_final
2010-02-04 09:24:20	ga_ls5t_ard_3-0-0_092086_2010-02-03_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2010-02-14 09:58:15	ga_ls5t_ard_3-0-0_098078_2010-02-14_final
2011-03-19 10:11:33	ga_ls5t_ard_3-0-0_100083_2011-03-19_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