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

54 results

Time (local)	Label
1987-09-06 10:52:19	ga_ls5t_ard_3-0-0_111073_1987-09-06_final
1987-12-31 10:30:34	ga_ls5t_ard_3-0-0_107075_1987-12-31_final
1990-04-13 08:32:18	ga_ls5t_ard_3-0-0_089079_1990-04-12_final
1990-05-24 08:27:19	ga_ls5t_ard_3-0-0_088082_1990-05-23_final
1990-09-18 10:24:46	ga_ls5t_ard_3-0-0_107083_1990-09-18_final
1990-11-23 08:33:30	ga_ls5t_ard_3-0-0_089084_1990-11-22_final
1991-02-01 09:33:17	ga_ls5t_ard_3-0-0_099076_1991-02-01_final
1991-03-10 09:54:32	ga_ls5t_ard_3-0-0_102081_1991-03-10_final
1991-04-16 08:33:39	ga_ls5t_ard_3-0-0_089078_1991-04-15_final
1991-04-21 08:54:38	ga_ls5t_ard_3-0-0_092084_1991-04-20_final
1991-10-14 08:52:47	ga_ls5t_ard_3-1-0_092074_1991-10-13_final
1991-10-14 10:30:28	ga_ls5t_ard_3-0-0_108071_1991-10-14_final
1991-12-13 09:20:14	ga_ls5t_ard_3-0-0_096080_1991-12-12_final
1991-12-17 08:56:38	ga_ls5t_ard_3-0-0_092083_1991-12-16_final
1992-02-28 10:25:32	ga_ls5t_ard_3-0-0_107074_1992-02-28_final
1992-03-06 08:52:50	ga_ls5t_ard_3-1-0_092074_1992-03-05_final
1992-04-11 08:31:07	ga_ls5t_ard_3-0-0_088082_1992-04-10_final
1992-04-20 10:03:21	ga_ls5t_ard_3-0-0_103081_1992-04-20_final
1992-05-10 09:36:51	ga_ls5t_ard_3-0-0_099077_1992-05-10_final
1992-06-09 09:48:56	ga_ls5t_ard_3-0-0_101077_1992-06-09_final
1992-06-11 09:36:57	ga_ls5t_ard_3-0-0_099078_1992-06-11_final
1992-06-13 09:20:58	ga_ls5t_ard_3-0-0_097069_1992-06-12_final
1992-10-16 10:28:38	ga_ls5t_ard_3-0-0_108073_1992-10-16_final
1992-12-08 10:46:55	ga_ls5t_ard_3-0-0_111073_1992-12-08_final
1992-12-12 08:44:57	ga_ls5t_ard_3-0-0_091077_1992-12-11_final
1994-02-02 09:25:21	ga_ls5t_ard_3-0-0_098070_1994-02-01_final
1994-02-24 08:50:21	ga_ls5t_ard_3-0-0_092076_1994-02-23_final
1994-03-27 09:45:54	ga_ls5t_ard_3-0-0_101077_1994-03-27_final
1994-04-14 09:33:12	ga_ls5t_ard_3-0-0_099077_1994-04-14_final
1995-09-24 09:15:02	ga_ls5t_ard_3-0-0_099078_1995-09-23_final
1995-12-14 09:53:45	ga_ls5t_ard_3-0-0_106068_1995-12-14_final
1997-01-08 10:23:31	ga_ls5t_ard_3-0-0_107071_1997-01-08_final
1997-01-22 10:38:07	ga_ls5t_ard_3-0-0_109075_1997-01-22_final
1997-05-22 09:56:05	ga_ls5t_ard_3-0-0_101082_1997-05-22_final
1997-07-02 09:49:18	ga_ls5t_ard_3-0-0_100077_1997-07-02_final
1997-11-26 08:46:23	ga_ls5t_ard_3-0-0_089079_1997-11-25_final
2003-08-06 09:44:09	ga_ls5t_ard_3-0-0_098078_2003-08-06_final
2003-09-27 09:23:52	ga_ls5t_ard_3-0-0_094087_2003-09-26_final
2003-12-15 10:13:13	ga_ls5t_ard_3-0-0_103069_2003-12-15_final
2004-03-02 08:50:43	ga_ls5t_ard_3-0-0_089078_2004-03-01_final
2004-05-26 10:48:23	ga_ls5t_ard_3-0-0_108074_2004-05-26_final
2004-10-18 09:55:17	ga_ls5t_ard_3-0-0_099071_2004-10-18_final
2004-10-20 09:48:09	ga_ls5t_ard_3-0-0_097084_2004-10-20_final
2004-12-30 09:50:03	ga_ls5t_ard_3-0-0_098070_2004-12-30_final
2005-11-13 10:07:38	ga_ls5t_ard_3-0-0_100077_2005-11-13_final
2006-01-30 10:18:14	ga_ls5t_ard_3-0-0_102068_2006-01-30_final
2006-05-27 09:03:59	ga_ls5t_ard_3-0-0_089078_2006-05-26_final
2006-07-29 09:56:33	ga_ls5t_ard_3-0-0_098068_2006-07-29_final
2006-10-17 09:57:30	ga_ls5t_ard_3-0-0_098068_2006-10-17_final
2006-11-25 10:08:26	ga_ls5t_ard_3-0-0_099079_2006-11-25_final
2007-07-06 09:27:11	ga_ls5t_ard_3-0-0_092086_2007-07-05_final
2008-02-17 10:44:33	ga_ls5t_ard_3-0-0_106071_2008-02-17_final
2008-09-28 10:37:27	ga_ls5t_ard_3-0-0_106068_2008-09-28_final
2009-01-13 10:20:51	ga_ls5t_ard_3-0-0_103072_2009-01-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years