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
1989-10-01 08:48:59	ga_ls5t_ard_3-0-0_091076_1989-09-30_final
1989-10-01 08:49:22	ga_ls5t_ard_3-0-0_091077_1989-09-30_final
1989-10-01 08:49:47	ga_ls5t_ard_3-0-0_091078_1989-09-30_final
1989-10-01 08:50:10	ga_ls5t_ard_3-0-0_091079_1989-09-30_final
1989-10-01 08:50:34	ga_ls5t_ard_3-1-0_091080_1989-09-30_final
1989-10-01 08:50:58	ga_ls5t_ard_3-0-0_091081_1989-09-30_final
1989-10-01 08:51:22	ga_ls5t_ard_3-0-0_091082_1989-09-30_final
1989-10-01 08:51:46	ga_ls5t_ard_3-0-0_091083_1989-09-30_final
1989-10-01 08:52:10	ga_ls5t_ard_3-0-0_091084_1989-09-30_final
1989-10-01 08:52:34	ga_ls5t_ard_3-0-0_091085_1989-09-30_final
1989-10-01 08:52:58	ga_ls5t_ard_3-0-0_091086_1989-09-30_final
1989-10-01 08:53:22	ga_ls5t_ard_3-0-0_091087_1989-09-30_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
1989-10-15 10:37:18	ga_ls5t_ard_3-0-0_109070_1989-10-15_final
1989-10-15 10:37:42	ga_ls5t_ard_3-0-0_109071_1989-10-15_final
1989-10-15 10:38:29	ga_ls5t_ard_3-0-0_109073_1989-10-15_final
1989-10-15 10:38:53	ga_ls5t_ard_3-0-0_109074_1989-10-15_final
1989-10-15 10:39:17	ga_ls5t_ard_3-0-0_109075_1989-10-15_final
1989-10-15 10:40:05	ga_ls5t_ard_3-0-0_109077_1989-10-15_final
1989-10-15 10:40:29	ga_ls5t_ard_3-0-0_109078_1989-10-15_final
1989-10-15 10:40:53	ga_ls5t_ard_3-0-0_109079_1989-10-15_final
1989-10-15 10:41:17	ga_ls5t_ard_3-0-0_109080_1989-10-15_final
1989-10-15 10:42:29	ga_ls5t_ard_3-0-0_109083_1989-10-15_final
1989-10-15 10:42:53	ga_ls5t_ard_3-0-0_109084_1989-10-15_final
1989-10-16 09:42:26	ga_ls5t_ard_3-0-0_100072_1989-10-16_final
1989-10-16 09:43:37	ga_ls5t_ard_3-0-0_100075_1989-10-16_final
1989-10-16 09:44:01	ga_ls5t_ard_3-0-0_100076_1989-10-16_final
1989-10-16 09:44:25	ga_ls5t_ard_3-0-0_100077_1989-10-16_final
1989-10-16 09:44:49	ga_ls5t_ard_3-0-0_100078_1989-10-16_final
1989-10-16 09:45:13	ga_ls5t_ard_3-0-0_100079_1989-10-16_final
1989-10-16 09:45:37	ga_ls5t_ard_3-0-0_100080_1989-10-16_final
1989-10-16 09:46:01	ga_ls5t_ard_3-0-0_100081_1989-10-16_final
1989-10-16 09:46:25	ga_ls5t_ard_3-0-0_100082_1989-10-16_final
1989-10-16 09:46:49	ga_ls5t_ard_3-0-0_100083_1989-10-16_final
1989-10-17 08:48:21	ga_ls5t_ard_3-0-0_091076_1989-10-16_final
1989-10-17 08:48:45	ga_ls5t_ard_3-0-0_091077_1989-10-16_final
1989-10-17 08:49:09	ga_ls5t_ard_3-0-0_091078_1989-10-16_final
1989-10-17 08:49:33	ga_ls5t_ard_3-0-0_091079_1989-10-16_final
1989-10-17 08:49:57	ga_ls5t_ard_3-0-0_091080_1989-10-16_final
1989-10-17 08:50:20	ga_ls5t_ard_3-0-0_091081_1989-10-16_final
1989-10-17 08:50:45	ga_ls5t_ard_3-0-0_091082_1989-10-16_final
1989-10-17 08:51:32	ga_ls5t_ard_3-0-0_091084_1989-10-16_final
1989-10-17 08:51:56	ga_ls5t_ard_3-0-0_091085_1989-10-16_final
1989-10-17 08:52:20	ga_ls5t_ard_3-0-0_091086_1989-10-16_final
1989-10-17 08:52:44	ga_ls5t_ard_3-0-0_091087_1989-10-16_final
1989-10-17 08:53:08	ga_ls5t_ard_3-0-0_091088_1989-10-16_final
1989-10-17 08:53:32	ga_ls5t_ard_3-0-0_091089_1989-10-16_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

1989

October

All days