Search ga_ls5t_ard_3 across October 1989

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

First 100 results (query limit)

Time (local)	Label
1989-10-11 09:23:20	ga_ls5t_ard_3-0-0_097070_1989-10-10_final
1989-10-11 09:23:45	ga_ls5t_ard_3-0-0_097071_1989-10-10_final
1989-10-11 09:24:09	ga_ls5t_ard_3-0-0_097072_1989-10-10_final
1989-10-11 09:24:32	ga_ls5t_ard_3-0-0_097073_1989-10-10_final
1989-10-11 09:24:56	ga_ls5t_ard_3-0-0_097074_1989-10-10_final
1989-10-11 09:25:20	ga_ls5t_ard_3-0-0_097075_1989-10-10_final
1989-10-11 09:25:44	ga_ls5t_ard_3-0-0_097076_1989-10-10_final
1989-10-11 09:26:08	ga_ls5t_ard_3-0-0_097077_1989-10-10_final
1989-10-11 09:26:32	ga_ls5t_ard_3-0-0_097078_1989-10-10_final
1989-10-11 09:26:56	ga_ls5t_ard_3-0-0_097079_1989-10-10_final
1989-10-11 09:27:20	ga_ls5t_ard_3-0-0_097080_1989-10-10_final
1989-10-11 09:28:08	ga_ls5t_ard_3-0-0_097082_1989-10-10_final
1989-10-11 09:28:32	ga_ls5t_ard_3-0-0_097083_1989-10-10_final
1989-10-11 09:28:56	ga_ls5t_ard_3-0-0_097084_1989-10-10_final
1989-10-11 11:01:02	ga_ls5t_ard_3-0-0_113067_1989-10-11_final
1989-10-11 11:03:49	ga_ls5t_ard_3-0-0_113074_1989-10-11_final
1989-10-11 11:04:13	ga_ls5t_ard_3-0-0_113075_1989-10-11_final
1989-10-11 11:04:37	ga_ls5t_ard_3-0-0_113076_1989-10-11_final
1989-10-11 11:05:01	ga_ls5t_ard_3-0-0_113077_1989-10-11_final
1989-10-11 11:05:25	ga_ls5t_ard_3-0-0_113078_1989-10-11_final
1989-10-11 11:05:49	ga_ls5t_ard_3-0-0_113079_1989-10-11_final
1989-10-11 11:06:13	ga_ls5t_ard_3-0-0_113080_1989-10-11_final
1989-10-11 11:06:37	ga_ls5t_ard_3-0-0_113081_1989-10-11_final
1989-10-11 11:07:01	ga_ls5t_ard_3-0-0_113082_1989-10-11_final
1989-10-11 11:07:25	ga_ls5t_ard_3-0-0_113083_1989-10-11_final
1989-10-11 11:07:49	ga_ls5t_ard_3-0-0_113084_1989-10-11_final
1989-10-12 08:32:27	ga_ls5t_ard_3-1-0_088082_1989-10-11_final
1989-10-12 10:05:45	ga_ls5t_ard_3-0-0_104068_1989-10-12_final
1989-10-12 10:06:09	ga_ls5t_ard_3-0-0_104069_1989-10-12_final
1989-10-12 10:06:32	ga_ls5t_ard_3-0-0_104070_1989-10-12_final
1989-10-12 10:06:56	ga_ls5t_ard_3-0-0_104071_1989-10-12_final
1989-10-12 10:07:20	ga_ls5t_ard_3-0-0_104072_1989-10-12_final
1989-10-12 10:07:44	ga_ls5t_ard_3-1-0_104073_1989-10-12_final
1989-10-12 10:08:08	ga_ls5t_ard_3-0-0_104074_1989-10-12_final
1989-10-12 10:08:56	ga_ls5t_ard_3-0-0_104076_1989-10-12_final
1989-10-12 10:09:20	ga_ls5t_ard_3-0-0_104077_1989-10-12_final
1989-10-12 10:09:44	ga_ls5t_ard_3-1-0_104078_1989-10-12_final
1989-10-12 10:10:08	ga_ls5t_ard_3-0-0_104079_1989-10-12_final
1989-10-12 10:10:32	ga_ls5t_ard_3-0-0_104080_1989-10-12_final
1989-10-12 10:11:20	ga_ls5t_ard_3-0-0_104082_1989-10-12_final
1989-10-13 09:09:40	ga_ls5t_ard_3-0-0_095067_1989-10-12_final
1989-10-13 09:12:04	ga_ls5t_ard_3-0-0_095073_1989-10-12_final
1989-10-13 09:12:28	ga_ls5t_ard_3-0-0_095074_1989-10-12_final
1989-10-13 09:12:52	ga_ls5t_ard_3-0-0_095075_1989-10-12_final
1989-10-13 09:13:16	ga_ls5t_ard_3-0-0_095076_1989-10-12_final
1989-10-13 09:13:39	ga_ls5t_ard_3-0-0_095077_1989-10-12_final
1989-10-13 09:14:51	ga_ls5t_ard_3-0-0_095080_1989-10-12_final
1989-10-13 09:15:15	ga_ls5t_ard_3-0-0_095081_1989-10-12_final
1989-10-13 09:15:39	ga_ls5t_ard_3-0-0_095082_1989-10-12_final
1989-10-13 09:16:03	ga_ls5t_ard_3-0-0_095083_1989-10-12_final
1989-10-13 09:16:27	ga_ls5t_ard_3-0-0_095084_1989-10-12_final
1989-10-13 09:17:15	ga_ls5t_ard_3-0-0_095086_1989-10-12_final
1989-10-13 09:17:39	ga_ls5t_ard_3-0-0_095087_1989-10-12_final
1989-10-13 10:48:33	ga_ls5t_ard_3-0-0_111067_1989-10-13_final
1989-10-13 10:48:57	ga_ls5t_ard_3-0-0_111068_1989-10-13_final
1989-10-13 10:51:45	ga_ls5t_ard_3-0-0_111075_1989-10-13_final
1989-10-13 10:52:09	ga_ls5t_ard_3-0-0_111076_1989-10-13_final
1989-10-13 10:52:32	ga_ls5t_ard_3-0-0_111077_1989-10-13_final
1989-10-13 10:52:56	ga_ls5t_ard_3-0-0_111078_1989-10-13_final
1989-10-13 10:53:20	ga_ls5t_ard_3-0-0_111079_1989-10-13_final
1989-10-13 10:53:44	ga_ls5t_ard_3-0-0_111080_1989-10-13_final
1989-10-13 10:54:08	ga_ls5t_ard_3-0-0_111081_1989-10-13_final
1989-10-13 10:55:20	ga_ls5t_ard_3-0-0_111084_1989-10-13_final
1989-10-14 09:53:17	ga_ls5t_ard_3-1-0_102068_1989-10-14_final
1989-10-14 09:53:41	ga_ls5t_ard_3-1-0_102069_1989-10-14_final
1989-10-14 09:54:05	ga_ls5t_ard_3-1-0_102070_1989-10-14_final
1989-10-14 09:54:29	ga_ls5t_ard_3-1-0_102071_1989-10-14_final
1989-10-14 09:55:41	ga_ls5t_ard_3-1-0_102074_1989-10-14_final
1989-10-14 09:56:29	ga_ls5t_ard_3-1-0_102076_1989-10-14_final
1989-10-14 09:56:53	ga_ls5t_ard_3-1-0_102077_1989-10-14_final
1989-10-14 09:57:17	ga_ls5t_ard_3-1-0_102078_1989-10-14_final
1989-10-14 09:57:40	ga_ls5t_ard_3-1-0_102079_1989-10-14_final
1989-10-14 09:58:04	ga_ls5t_ard_3-1-0_102080_1989-10-14_final
1989-10-14 09:58:28	ga_ls5t_ard_3-1-0_102081_1989-10-14_final
1989-10-14 09:58:52	ga_ls5t_ard_3-1-0_102082_1989-10-14_final
1989-10-15 08:57:13	ga_ls5t_ard_3-0-0_093067_1989-10-14_final
1989-10-15 09:00:01	ga_ls5t_ard_3-0-0_093074_1989-10-14_final
1989-10-15 09:00:24	ga_ls5t_ard_3-0-0_093075_1989-10-14_final
1989-10-15 09:00:48	ga_ls5t_ard_3-0-0_093076_1989-10-14_final
1989-10-15 09:01:12	ga_ls5t_ard_3-0-0_093077_1989-10-14_final
1989-10-15 09:01:36	ga_ls5t_ard_3-0-0_093078_1989-10-14_final
1989-10-15 09:02:00	ga_ls5t_ard_3-0-0_093079_1989-10-14_final
1989-10-15 09:02:48	ga_ls5t_ard_3-0-0_093081_1989-10-14_final
1989-10-15 09:03:12	ga_ls5t_ard_3-0-0_093082_1989-10-14_final
1989-10-15 09:03:36	ga_ls5t_ard_3-0-0_093083_1989-10-14_final
1989-10-15 09:04:00	ga_ls5t_ard_3-0-0_093084_1989-10-14_final
1989-10-15 09:04:48	ga_ls5t_ard_3-0-0_093086_1989-10-14_final
1989-10-15 09:05:12	ga_ls5t_ard_3-0-0_093087_1989-10-14_final
1989-10-15 09:05:36	ga_ls5t_ard_3-0-0_093088_1989-10-14_final
1989-10-18 09:27:58	ga_ls5t_ard_3-1-0_098067_1989-10-17_final
1989-10-18 09:28:46	ga_ls5t_ard_3-0-0_098069_1989-10-17_final
1989-10-18 09:29:09	ga_ls5t_ard_3-0-0_098070_1989-10-17_final
1989-10-19 08:36:40	ga_ls5t_ard_3-0-0_089078_1989-10-18_final
1989-10-19 08:37:04	ga_ls5t_ard_3-0-0_089079_1989-10-18_final
1989-10-19 08:37:28	ga_ls5t_ard_3-0-0_089080_1989-10-18_final
1989-10-19 08:37:52	ga_ls5t_ard_3-0-0_089081_1989-10-18_final
1989-10-19 08:38:16	ga_ls5t_ard_3-0-0_089082_1989-10-18_final
1989-10-19 08:38:40	ga_ls5t_ard_3-0-0_089083_1989-10-18_final
1989-10-19 08:39:03	ga_ls5t_ard_3-0-0_089084_1989-10-18_final
1989-10-19 08:39:27	ga_ls5t_ard_3-0-0_089085_1989-10-18_final

Return to ga_ls5t_ard_3 across October 1989 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

1989

October

All days