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
1988-04-04 09:47:22	ga_ls5t_ard_3-0-0_100072_1988-04-04_final
1988-05-25 08:41:46	ga_ls5t_ard_3-1-0_089077_1988-05-24_final
1988-08-16 10:54:13	ga_ls5t_ard_3-0-0_110083_1988-08-16_final
1989-06-11 08:56:32	ga_ls5t_ard_3-1-0_091089_1989-06-10_final
1989-07-07 11:08:22	ga_ls5t_ard_3-0-0_113080_1989-07-07_final
1989-11-04 08:39:11	ga_ls5t_ard_3-0-0_089085_1989-11-03_final
1990-04-07 10:49:46	ga_ls5t_ard_3-0-0_111083_1990-04-07_final
1990-04-22 08:27:23	ga_ls5t_ard_3-0-0_088082_1990-04-21_final
1990-07-09 08:42:49	ga_ls5t_ard_3-1-0_090090_1990-07-08_final
1990-08-30 09:50:19	ga_ls5t_ard_3-0-0_102074_1990-08-30_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1991-03-07 09:19:08	ga_ls5t_ard_3-0-0_097070_1991-03-06_final
1991-07-21 10:13:12	ga_ls5t_ard_3-0-0_105076_1991-07-21_final
1991-08-22 10:16:10	ga_ls5t_ard_3-1-0_105083_1991-08-22_final
1991-09-10 10:47:45	ga_ls5t_ard_3-0-0_110084_1991-09-10_final
1991-11-01 10:17:18	ga_ls5t_ard_3-0-0_106069_1991-11-01_final
1992-01-12 09:28:23	ga_ls5t_ard_3-0-0_098070_1992-01-11_final
1992-10-25 10:25:58	ga_ls5t_ard_3-0-0_107082_1992-10-25_final
1992-11-09 09:40:25	ga_ls5t_ard_3-0-0_100077_1992-11-09_final
1992-12-13 09:28:13	ga_ls5t_ard_3-0-0_098077_1992-12-12_final
1993-01-04 10:27:27	ga_ls5t_ard_3-0-0_108070_1993-01-04_final
1993-03-04 10:10:18	ga_ls5t_ard_3-0-0_105072_1993-03-04_final
1993-06-12 09:50:01	ga_ls5t_ard_3-0-0_101082_1993-06-12_final
1993-10-12 10:23:59	ga_ls5t_ard_3-0-0_107075_1993-10-12_final
1994-08-19 10:24:47	ga_ls5t_ard_3-0-0_108074_1994-08-19_final
1994-11-23 08:48:33	ga_ls5t_ard_3-0-0_092088_1994-11-22_final
1995-02-27 10:18:26	ga_ls5t_ard_3-0-0_108074_1995-02-27_final
1995-05-19 09:20:58	ga_ls5t_ard_3-0-0_099078_1995-05-18_final
1996-03-12 08:23:39	ga_ls5t_ard_3-0-0_089090_1996-03-11_final
1996-07-25 10:08:30	ga_ls5t_ard_3-0-0_106070_1996-07-25_final
1996-08-17 08:36:12	ga_ls5t_ard_3-1-0_091068_1996-08-16_final
1997-01-07 09:40:12	ga_ls5t_ard_3-0-0_100071_1997-01-07_final
1997-01-09 09:30:44	ga_ls5t_ard_3-0-0_098078_1997-01-09_final
1997-06-13 10:55:27	ga_ls5t_ard_3-0-0_111074_1997-06-13_final
1997-12-01 10:41:34	ga_ls5t_ard_3-0-0_108073_1997-12-01_final
1997-12-10 10:36:24	ga_ls5t_ard_3-0-0_107075_1997-12-10_final
1998-10-10 10:40:35	ga_ls5t_ard_3-0-0_107075_1998-10-10_final
1999-03-06 09:29:44	ga_ls5t_ard_3-1-0_096067_1999-03-05_final
1999-04-15 08:45:28	ga_ls5t_ard_3-1-0_088081_1999-04-14_final
1999-04-21 09:46:28	ga_ls5t_ard_3-0-0_098079_1999-04-21_final
1999-05-31 08:57:13	ga_ls5t_ard_3-0-0_090081_1999-05-30_final
1999-07-16 10:49:16	ga_ls5t_ard_3-1-0_108084_1999-07-16_final
1999-09-03 09:50:15	ga_ls5t_ard_3-0-0_099077_1999-09-03_final
1999-11-14 10:37:31	ga_ls5t_ard_3-0-0_107075_1999-11-14_final
1999-12-21 10:54:12	ga_ls5t_ard_3-0-0_110072_1999-12-21_final
2004-02-12 09:58:12	ga_ls5t_ard_3-0-0_100077_2004-02-12_final
2004-04-10 10:35:30	ga_ls5t_ard_3-0-0_106076_2004-04-10_final
2004-07-06 09:10:32	ga_ls5t_ard_3-0-0_091089_2004-07-05_final
2004-07-15 10:37:53	ga_ls5t_ard_3-0-0_106075_2004-07-15_final
2004-07-24 08:54:38	ga_ls5t_ard_3-0-0_089079_2004-07-23_final
2004-12-13 09:12:07	ga_ls5t_ard_3-0-0_091084_2004-12-12_final
2004-12-29 10:50:27	ga_ls5t_ard_3-0-0_107082_2004-12-29_final
2005-08-03 10:40:44	ga_ls5t_ard_3-0-0_106068_2005-08-03_final
2005-11-16 09:03:19	ga_ls5t_ard_3-1-0_089086_2005-11-15_final
2007-01-22 10:41:32	ga_ls5t_ard_3-0-0_105068_2007-01-22_final
2007-08-14 11:10:43	ga_ls5t_ard_3-0-0_109083_2007-08-14_final
2008-04-15 11:18:48	ga_ls5t_ard_3-0-0_112067_2008-04-15_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