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

56 results

Time (local)	Label
1986-08-18 09:08:21	ga_ls5t_ard_3-0-0_095073_1986-08-17_final
1987-07-13 09:10:56	ga_ls5t_ard_3-0-0_094086_1987-07-12_final
1987-09-10 08:53:12	ga_ls5t_ard_3-0-0_091084_1987-09-09_final
1987-09-27 09:36:03	ga_ls5t_ard_3-0-0_098082_1987-09-27_final
1987-10-01 10:47:30	ga_ls5t_ard_3-0-0_110075_1987-10-01_final
1988-02-06 09:15:17	ga_ls5t_ard_3-0-0_094086_1988-02-05_final
1988-02-22 10:50:25	ga_ls5t_ard_3-0-0_110076_1988-02-22_final
1988-03-12 09:39:49	ga_ls5t_ard_3-0-0_099069_1988-03-12_final
1988-05-16 10:23:35	ga_ls5t_ard_3-0-0_106069_1988-05-16_final
1988-08-31 10:10:14	ga_ls5t_ard_3-0-0_103081_1988-08-31_final
1988-12-15 09:10:47	ga_ls5t_ard_3-0-0_093088_1988-12-14_final
1989-01-15 10:03:24	ga_ls5t_ard_3-0-0_102081_1989-01-15_final
1989-02-20 09:34:30	ga_ls5t_ard_3-0-0_098071_1989-02-20_final
1989-12-30 09:23:23	ga_ls5t_ard_3-0-0_097076_1989-12-29_final
1990-05-11 08:59:29	ga_ls5t_ard_3-0-0_093085_1990-05-10_final
1990-05-13 10:22:49	ga_ls5t_ard_3-0-0_107077_1990-05-13_final
1990-05-31 08:33:29	ga_ls5t_ard_3-0-0_089082_1990-05-30_final
1990-10-06 08:35:40	ga_ls5t_ard_3-1-0_089089_1990-10-05_final
1991-01-19 10:01:59	ga_ls5t_ard_3-0-0_104071_1991-01-19_final
1991-02-06 09:52:11	ga_ls5t_ard_3-0-0_102077_1991-02-06_final
1991-03-20 08:51:45	ga_ls5t_ard_3-0-0_092078_1991-03-19_final
1991-05-28 10:49:32	ga_ls5t_ard_3-0-0_111076_1991-05-28_final
1992-01-27 10:28:28	ga_ls5t_ard_3-0-0_107081_1992-01-27_final
1992-02-26 10:41:55	ga_ls5t_ard_3-0-0_109084_1992-02-26_final
1992-11-23 09:54:15	ga_ls5t_ard_3-0-0_102081_1992-11-23_final
1993-01-19 09:45:34	ga_ls5t_ard_3-0-0_101073_1993-01-19_final
1993-07-07 09:44:05	ga_ls5t_ard_3-0-0_100083_1993-07-07_final
1993-08-09 10:26:33	ga_ls5t_ard_3-0-0_107081_1993-08-09_final
1994-04-27 10:40:10	ga_ls5t_ard_3-0-0_110075_1994-04-27_final
1994-07-14 09:16:21	ga_ls5t_ard_3-0-0_096086_1994-07-13_final
1994-09-03 09:43:57	ga_ls5t_ard_3-0-0_101081_1994-09-03_final
1996-11-29 09:35:22	ga_ls5t_ard_3-0-0_099079_1996-11-29_final
1996-12-15 09:38:07	ga_ls5t_ard_3-1-0_099084_1996-12-15_final
1997-09-13 09:46:16	ga_ls5t_ard_3-0-0_099079_1997-09-13_final
1997-11-25 09:43:59	ga_ls5t_ard_3-0-0_098084_1997-11-25_final
1998-02-01 09:21:39	ga_ls5t_ard_3-0-0_094086_1998-01-31_final
1998-11-27 10:43:35	ga_ls5t_ard_3-0-0_107082_1998-11-27_final
1999-05-18 09:25:13	ga_ls5t_ard_3-0-0_095073_1999-05-17_final
2003-07-09 10:55:25	ga_ls5t_ard_3-0-0_110072_2003-07-09_final
2003-09-06 09:00:13	ga_ls5t_ard_3-1-0_091075_2003-09-05_final
2003-09-22 10:42:09	ga_ls5t_ard_3-0-0_107082_2003-09-22_final
2003-11-27 08:52:12	ga_ls5t_ard_3-0-0_089083_2003-11-26_final
2003-12-03 09:54:25	ga_ls5t_ard_3-0-0_099084_2003-12-03_final
2003-12-28 09:43:16	ga_ls5t_ard_3-0-0_098071_2003-12-28_final
2004-01-27 10:00:32	ga_ls5t_ard_3-0-0_100083_2004-01-27_final
2004-02-17 10:14:23	ga_ls5t_ard_3-0-0_103071_2004-02-17_final
2004-09-08 10:48:12	ga_ls5t_ard_3-0-0_107082_2004-09-08_final
2004-11-05 11:24:58	ga_ls5t_ard_3-0-0_113078_2004-11-05_final
2005-03-20 09:50:45	ga_ls5t_ard_3-0-0_098069_2005-03-20_final
2006-04-20 10:19:50	ga_ls5t_ard_3-1-0_102068_2006-04-20_final
2006-07-11 10:09:53	ga_ls5t_ard_3-0-0_100071_2006-07-11_final
2006-08-10 10:23:25	ga_ls5t_ard_3-0-0_102073_2006-08-10_final
2006-09-13 10:15:05	ga_ls5t_ard_3-0-0_100082_2006-09-13_final
2008-03-08 10:20:14	ga_ls5t_ard_3-0-0_102073_2008-03-08_final
2008-09-11 09:55:55	ga_ls5t_ard_3-0-0_099071_2008-09-11_final
2008-10-17 09:33:37	ga_ls5t_ard_3-0-0_095080_2008-10-17_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