Search ga_ls5t_ard_3 across October 1993

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
1993-10-01 09:00:31	ga_ls5t_ard_3-0-0_094067_1993-09-30_final
1993-10-01 09:02:54	ga_ls5t_ard_3-0-0_094073_1993-09-30_final
1993-10-01 09:03:18	ga_ls5t_ard_3-0-0_094074_1993-09-30_final
1993-10-01 09:03:42	ga_ls5t_ard_3-0-0_094075_1993-09-30_final
1993-10-01 09:04:06	ga_ls5t_ard_3-0-0_094076_1993-09-30_final
1993-10-01 09:04:30	ga_ls5t_ard_3-0-0_094077_1993-09-30_final
1993-10-01 09:04:54	ga_ls5t_ard_3-0-0_094078_1993-09-30_final
1993-10-01 09:05:18	ga_ls5t_ard_3-0-0_094079_1993-09-30_final
1993-10-01 09:05:42	ga_ls5t_ard_3-0-0_094080_1993-09-30_final
1993-10-01 09:06:06	ga_ls5t_ard_3-0-0_094081_1993-09-30_final
1993-10-01 10:39:23	ga_ls5t_ard_3-0-0_110067_1993-10-01_final
1993-10-01 10:40:35	ga_ls5t_ard_3-0-0_110070_1993-10-01_final
1993-10-01 10:40:59	ga_ls5t_ard_3-0-0_110071_1993-10-01_final
1993-10-01 10:41:23	ga_ls5t_ard_3-0-0_110072_1993-10-01_final
1993-10-01 10:41:47	ga_ls5t_ard_3-0-0_110073_1993-10-01_final
1993-10-01 10:42:11	ga_ls5t_ard_3-0-0_110074_1993-10-01_final
1993-10-01 10:42:35	ga_ls5t_ard_3-0-0_110075_1993-10-01_final
1993-10-01 10:42:59	ga_ls5t_ard_3-0-0_110076_1993-10-01_final
1993-10-01 10:43:23	ga_ls5t_ard_3-0-0_110077_1993-10-01_final
1993-10-01 10:43:47	ga_ls5t_ard_3-0-0_110078_1993-10-01_final
1993-10-01 10:44:11	ga_ls5t_ard_3-0-0_110079_1993-10-01_final
1993-10-01 10:44:35	ga_ls5t_ard_3-0-0_110080_1993-10-01_final
1993-10-01 10:44:59	ga_ls5t_ard_3-0-0_110081_1993-10-01_final
1993-10-01 10:45:23	ga_ls5t_ard_3-0-0_110082_1993-10-01_final
1993-10-01 10:45:47	ga_ls5t_ard_3-0-0_110083_1993-10-01_final
1993-10-02 09:45:22	ga_ls5t_ard_3-0-0_101071_1993-10-02_final
1993-10-02 09:45:46	ga_ls5t_ard_3-0-0_101072_1993-10-02_final
1993-10-02 09:46:10	ga_ls5t_ard_3-0-0_101073_1993-10-02_final
1993-10-02 09:46:34	ga_ls5t_ard_3-0-0_101074_1993-10-02_final
1993-10-02 09:46:58	ga_ls5t_ard_3-0-0_101075_1993-10-02_final
1993-10-02 09:47:22	ga_ls5t_ard_3-0-0_101076_1993-10-02_final
1993-10-02 09:49:21	ga_ls5t_ard_3-0-0_101081_1993-10-02_final
1993-10-02 09:49:45	ga_ls5t_ard_3-0-0_101082_1993-10-02_final
1993-10-03 08:48:08	ga_ls5t_ard_3-0-0_092067_1993-10-02_final
1993-10-03 08:48:32	ga_ls5t_ard_3-0-0_092068_1993-10-02_final
1993-10-03 08:51:20	ga_ls5t_ard_3-1-0_092075_1993-10-02_final
1993-10-03 08:51:44	ga_ls5t_ard_3-0-0_092076_1993-10-02_final
1993-10-03 08:52:08	ga_ls5t_ard_3-0-0_092077_1993-10-02_final
1993-10-03 08:52:32	ga_ls5t_ard_3-0-0_092078_1993-10-02_final
1993-10-03 08:52:56	ga_ls5t_ard_3-0-0_092079_1993-10-02_final
1993-10-03 08:53:20	ga_ls5t_ard_3-0-0_092080_1993-10-02_final
1993-10-03 10:28:13	ga_ls5t_ard_3-0-0_108070_1993-10-03_final
1993-10-03 10:28:37	ga_ls5t_ard_3-0-0_108071_1993-10-03_final
1993-10-03 10:29:01	ga_ls5t_ard_3-0-0_108072_1993-10-03_final
1993-10-03 10:29:25	ga_ls5t_ard_3-0-0_108073_1993-10-03_final
1993-10-03 10:29:49	ga_ls5t_ard_3-0-0_108074_1993-10-03_final
1993-10-03 10:30:13	ga_ls5t_ard_3-0-0_108075_1993-10-03_final
1993-10-03 10:30:37	ga_ls5t_ard_3-0-0_108076_1993-10-03_final
1993-10-03 10:31:01	ga_ls5t_ard_3-0-0_108077_1993-10-03_final
1993-10-03 10:31:25	ga_ls5t_ard_3-0-0_108078_1993-10-03_final
1993-10-03 10:31:49	ga_ls5t_ard_3-0-0_108079_1993-10-03_final
1993-10-03 10:32:13	ga_ls5t_ard_3-0-0_108080_1993-10-03_final
1993-10-03 10:32:37	ga_ls5t_ard_3-0-0_108081_1993-10-03_final
1993-10-04 09:31:24	ga_ls5t_ard_3-0-0_099067_1993-10-04_final
1993-10-04 09:31:48	ga_ls5t_ard_3-0-0_099068_1993-10-04_final
1993-10-04 09:32:12	ga_ls5t_ard_3-0-0_099069_1993-10-04_final
1993-10-04 09:32:36	ga_ls5t_ard_3-0-0_099070_1993-10-04_final
1993-10-04 09:33:00	ga_ls5t_ard_3-0-0_099071_1993-10-04_final
1993-10-04 09:33:24	ga_ls5t_ard_3-0-0_099072_1993-10-04_final
1993-10-04 09:33:48	ga_ls5t_ard_3-0-0_099073_1993-10-04_final
1993-10-04 09:34:12	ga_ls5t_ard_3-0-0_099074_1993-10-04_final
1993-10-04 09:34:35	ga_ls5t_ard_3-0-0_099075_1993-10-04_final
1993-10-04 09:35:00	ga_ls5t_ard_3-0-0_099076_1993-10-04_final
1993-10-04 09:36:11	ga_ls5t_ard_3-1-0_099079_1993-10-04_final
1993-10-04 09:36:35	ga_ls5t_ard_3-0-0_099080_1993-10-04_final
1993-10-04 09:36:59	ga_ls5t_ard_3-0-0_099081_1993-10-04_final
1993-10-04 11:13:05	ga_ls5t_ard_3-0-0_115074_1993-10-04_final
1993-10-04 11:13:29	ga_ls5t_ard_3-0-0_115075_1993-10-04_final
1993-10-04 11:13:53	ga_ls5t_ard_3-0-0_115076_1993-10-04_final
1993-10-04 11:14:16	ga_ls5t_ard_3-0-0_115077_1993-10-04_final
1993-10-04 11:14:41	ga_ls5t_ard_3-0-0_115078_1993-10-04_final
1993-10-04 11:15:04	ga_ls5t_ard_3-0-0_115079_1993-10-04_final
1993-10-04 11:15:28	ga_ls5t_ard_3-1-0_115080_1993-10-04_final
1993-10-05 08:39:46	ga_ls5t_ard_3-0-0_090077_1993-10-04_final
1993-10-05 08:40:10	ga_ls5t_ard_3-0-0_090078_1993-10-04_final
1993-10-05 08:40:34	ga_ls5t_ard_3-0-0_090079_1993-10-04_final
1993-10-05 08:41:46	ga_ls5t_ard_3-0-0_090082_1993-10-04_final
1993-10-05 08:42:10	ga_ls5t_ard_3-0-0_090083_1993-10-04_final
1993-10-05 08:42:34	ga_ls5t_ard_3-0-0_090084_1993-10-04_final
1993-10-05 08:42:58	ga_ls5t_ard_3-0-0_090085_1993-10-04_final
1993-10-05 08:43:22	ga_ls5t_ard_3-0-0_090086_1993-10-04_final
1993-10-05 08:44:09	ga_ls5t_ard_3-0-0_090088_1993-10-04_final
1993-10-05 10:15:03	ga_ls5t_ard_3-0-0_106068_1993-10-05_final
1993-10-05 10:15:27	ga_ls5t_ard_3-0-0_106069_1993-10-05_final
1993-10-05 10:15:51	ga_ls5t_ard_3-0-0_106070_1993-10-05_final
1993-10-05 10:16:15	ga_ls5t_ard_3-0-0_106071_1993-10-05_final
1993-10-05 10:16:39	ga_ls5t_ard_3-0-0_106072_1993-10-05_final
1993-10-05 10:17:03	ga_ls5t_ard_3-0-0_106073_1993-10-05_final
1993-10-05 10:17:27	ga_ls5t_ard_3-0-0_106074_1993-10-05_final
1993-10-05 10:17:51	ga_ls5t_ard_3-0-0_106075_1993-10-05_final
1993-10-05 10:18:15	ga_ls5t_ard_3-0-0_106076_1993-10-05_final
1993-10-05 10:18:39	ga_ls5t_ard_3-0-0_106077_1993-10-05_final
1993-10-05 10:19:03	ga_ls5t_ard_3-0-0_106078_1993-10-05_final
1993-10-05 10:19:27	ga_ls5t_ard_3-0-0_106079_1993-10-05_final
1993-10-05 10:19:51	ga_ls5t_ard_3-0-0_106080_1993-10-05_final
1993-10-05 10:20:14	ga_ls5t_ard_3-0-0_106081_1993-10-05_final
1993-10-05 10:20:39	ga_ls5t_ard_3-0-0_106082_1993-10-05_final
1993-10-05 10:21:03	ga_ls5t_ard_3-0-0_106083_1993-10-05_final
1993-10-08 09:06:39	ga_ls5t_ard_3-0-0_095067_1993-10-07_final
1993-10-08 09:08:39	ga_ls5t_ard_3-0-0_095072_1993-10-07_final

Return to ga_ls5t_ard_3 across October 1993 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

1993

October

All days