Search ga_ls5t_ard_3 across June 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
1989-06-01 09:51:23	ga_ls5t_ard_3-0-0_101071_1989-06-01_final
1989-06-01 09:51:47	ga_ls5t_ard_3-0-0_101072_1989-06-01_final
1989-06-01 09:52:11	ga_ls5t_ard_3-0-0_101073_1989-06-01_final
1989-06-01 09:52:35	ga_ls5t_ard_3-0-0_101074_1989-06-01_final
1989-06-09 09:05:21	ga_ls5t_ard_3-0-0_093080_1989-06-08_final
1989-06-09 09:08:08	ga_ls5t_ard_3-0-0_093087_1989-06-08_final
1989-06-09 10:40:14	ga_ls5t_ard_3-0-0_109070_1989-06-09_final
1989-06-09 10:40:38	ga_ls5t_ard_3-0-0_109071_1989-06-09_final
1989-06-09 10:41:26	ga_ls5t_ard_3-0-0_109073_1989-06-09_final
1989-06-09 10:42:38	ga_ls5t_ard_3-0-0_109076_1989-06-09_final
1989-06-09 10:43:26	ga_ls5t_ard_3-0-0_109078_1989-06-09_final
1989-06-09 10:43:50	ga_ls5t_ard_3-0-0_109079_1989-06-09_final
1989-06-09 10:44:38	ga_ls5t_ard_3-0-0_109081_1989-06-09_final
1989-06-10 09:45:00	ga_ls5t_ard_3-0-0_100071_1989-06-10_final
1989-06-10 09:45:24	ga_ls5t_ard_3-0-0_100072_1989-06-10_final
1989-06-10 09:46:35	ga_ls5t_ard_3-0-0_100075_1989-06-10_final
1989-06-10 09:46:59	ga_ls5t_ard_3-0-0_100076_1989-06-10_final
1989-06-10 09:47:23	ga_ls5t_ard_3-0-0_100077_1989-06-10_final
1989-06-10 09:47:47	ga_ls5t_ard_3-0-0_100078_1989-06-10_final
1989-06-10 09:48:11	ga_ls5t_ard_3-0-0_100079_1989-06-10_final
1989-06-10 09:48:35	ga_ls5t_ard_3-0-0_100080_1989-06-10_final
1989-06-10 09:48:59	ga_ls5t_ard_3-0-0_100081_1989-06-10_final
1989-06-10 09:49:23	ga_ls5t_ard_3-0-0_100082_1989-06-10_final
1989-06-10 09:49:47	ga_ls5t_ard_3-0-0_100083_1989-06-10_final
1989-06-11 08:50:56	ga_ls5t_ard_3-1-0_091075_1989-06-10_final
1989-06-11 08:51:20	ga_ls5t_ard_3-0-0_091076_1989-06-10_final
1989-06-11 08:51:44	ga_ls5t_ard_3-1-0_091077_1989-06-10_final
1989-06-11 08:52:08	ga_ls5t_ard_3-0-0_091078_1989-06-10_final
1989-06-11 08:54:56	ga_ls5t_ard_3-0-0_091085_1989-06-10_final
1989-06-11 08:55:44	ga_ls5t_ard_3-0-0_091087_1989-06-10_final
1989-06-11 08:56:08	ga_ls5t_ard_3-0-0_091088_1989-06-10_final
1989-06-11 08:56:32	ga_ls5t_ard_3-1-0_091089_1989-06-10_final
1989-06-11 10:27:49	ga_ls5t_ard_3-0-0_107070_1989-06-11_final
1989-06-11 10:28:13	ga_ls5t_ard_3-0-0_107071_1989-06-11_final
1989-06-11 10:28:37	ga_ls5t_ard_3-0-0_107072_1989-06-11_final
1989-06-11 10:29:01	ga_ls5t_ard_3-0-0_107073_1989-06-11_final
1989-06-11 10:29:25	ga_ls5t_ard_3-0-0_107074_1989-06-11_final
1989-06-11 10:30:13	ga_ls5t_ard_3-0-0_107076_1989-06-11_final
1989-06-11 10:30:37	ga_ls5t_ard_3-0-0_107077_1989-06-11_final
1989-06-11 10:31:01	ga_ls5t_ard_3-0-0_107078_1989-06-11_final
1989-06-11 10:31:25	ga_ls5t_ard_3-0-0_107079_1989-06-11_final
1989-06-11 10:31:49	ga_ls5t_ard_3-0-0_107080_1989-06-11_final
1989-06-11 10:32:13	ga_ls5t_ard_3-0-0_107081_1989-06-11_final
1989-06-11 10:33:01	ga_ls5t_ard_3-0-0_107083_1989-06-11_final
1989-06-12 09:31:46	ga_ls5t_ard_3-0-0_098069_1989-06-12_final
1989-06-12 09:32:10	ga_ls5t_ard_3-0-0_098070_1989-06-12_final
1989-06-12 09:32:34	ga_ls5t_ard_3-0-0_098071_1989-06-12_final
1989-06-12 09:32:58	ga_ls5t_ard_3-0-0_098072_1989-06-12_final
1989-06-12 09:33:22	ga_ls5t_ard_3-0-0_098073_1989-06-12_final
1989-06-12 09:33:46	ga_ls5t_ard_3-0-0_098074_1989-06-12_final
1989-06-12 09:34:10	ga_ls5t_ard_3-0-0_098075_1989-06-12_final
1989-06-12 09:34:34	ga_ls5t_ard_3-0-0_098076_1989-06-12_final
1989-06-12 09:34:58	ga_ls5t_ard_3-0-0_098077_1989-06-12_final
1989-06-12 09:35:22	ga_ls5t_ard_3-0-0_098078_1989-06-12_final
1989-06-12 09:35:46	ga_ls5t_ard_3-0-0_098079_1989-06-12_final
1989-06-12 09:36:09	ga_ls5t_ard_3-0-0_098080_1989-06-12_final
1989-06-12 09:36:33	ga_ls5t_ard_3-0-0_098081_1989-06-12_final
1989-06-12 09:36:57	ga_ls5t_ard_3-0-0_098082_1989-06-12_final
1989-06-13 08:39:42	ga_ls5t_ard_3-0-0_089078_1989-06-12_final
1989-06-13 08:40:05	ga_ls5t_ard_3-0-0_089079_1989-06-12_final
1989-06-13 08:40:29	ga_ls5t_ard_3-0-0_089080_1989-06-12_final
1989-06-13 08:40:53	ga_ls5t_ard_3-0-0_089081_1989-06-12_final
1989-06-13 08:41:17	ga_ls5t_ard_3-0-0_089082_1989-06-12_final
1989-06-13 08:41:41	ga_ls5t_ard_3-0-0_089083_1989-06-12_final
1989-06-13 08:42:05	ga_ls5t_ard_3-0-0_089084_1989-06-12_final
1989-06-13 08:42:29	ga_ls5t_ard_3-0-0_089085_1989-06-12_final
1989-06-13 08:42:53	ga_ls5t_ard_3-0-0_089086_1989-06-12_final
1989-06-13 10:14:35	ga_ls5t_ard_3-0-0_105068_1989-06-13_final
1989-06-13 10:14:59	ga_ls5t_ard_3-0-0_105069_1989-06-13_final
1989-06-13 10:15:23	ga_ls5t_ard_3-0-0_105070_1989-06-13_final
1989-06-13 10:15:47	ga_ls5t_ard_3-0-0_105071_1989-06-13_final
1989-06-13 10:16:11	ga_ls5t_ard_3-0-0_105072_1989-06-13_final
1989-06-13 10:16:34	ga_ls5t_ard_3-0-0_105073_1989-06-13_final
1989-06-13 10:16:59	ga_ls5t_ard_3-0-0_105074_1989-06-13_final
1989-06-13 10:18:10	ga_ls5t_ard_3-0-0_105077_1989-06-13_final
1989-06-14 09:19:43	ga_ls5t_ard_3-0-0_096070_1989-06-13_final
1989-06-14 09:20:07	ga_ls5t_ard_3-0-0_096071_1989-06-13_final
1989-06-14 09:20:31	ga_ls5t_ard_3-0-0_096072_1989-06-13_final
1989-06-14 09:20:55	ga_ls5t_ard_3-0-0_096073_1989-06-13_final
1989-06-14 09:21:19	ga_ls5t_ard_3-0-0_096074_1989-06-13_final
1989-06-14 09:21:43	ga_ls5t_ard_3-0-0_096075_1989-06-13_final
1989-06-14 09:22:07	ga_ls5t_ard_3-0-0_096076_1989-06-13_final
1989-06-25 08:59:48	ga_ls5t_ard_3-0-0_093067_1989-06-24_final
1989-06-25 09:02:35	ga_ls5t_ard_3-0-0_093074_1989-06-24_final
1989-06-25 09:03:47	ga_ls5t_ard_3-0-0_093077_1989-06-24_final
1989-06-25 09:04:11	ga_ls5t_ard_3-0-0_093078_1989-06-24_final
1989-06-25 09:04:35	ga_ls5t_ard_3-0-0_093079_1989-06-24_final
1989-06-25 09:04:59	ga_ls5t_ard_3-0-0_093080_1989-06-24_final
1989-06-25 09:05:23	ga_ls5t_ard_3-0-0_093081_1989-06-24_final
1989-06-25 09:05:47	ga_ls5t_ard_3-0-0_093082_1989-06-24_final
1989-06-25 09:06:11	ga_ls5t_ard_3-0-0_093083_1989-06-24_final
1989-06-25 09:06:35	ga_ls5t_ard_3-0-0_093084_1989-06-24_final
1989-06-25 09:06:59	ga_ls5t_ard_3-0-0_093085_1989-06-24_final
1989-06-25 09:07:23	ga_ls5t_ard_3-0-0_093086_1989-06-24_final
1989-06-25 09:07:46	ga_ls5t_ard_3-0-0_093087_1989-06-24_final
1989-06-26 09:44:39	ga_ls5t_ard_3-0-0_100071_1989-06-26_final
1989-06-26 09:45:03	ga_ls5t_ard_3-0-0_100072_1989-06-26_final
1989-06-26 09:45:27	ga_ls5t_ard_3-0-0_100073_1989-06-26_final
1989-06-26 09:45:51	ga_ls5t_ard_3-0-0_100074_1989-06-26_final
1989-06-26 09:46:14	ga_ls5t_ard_3-0-0_100075_1989-06-26_final

Return to ga_ls5t_ard_3 across June 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

June

All days