Search ga_ls8c_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

First 100 results (query limit)

Time (local)	Label
2013-04-15 09:46:50	ga_ls8c_ard_3-0-0_094084_2013-04-15_final
2013-04-15 11:25:43	ga_ls8c_ard_3-0-0_110084_2013-04-15_final
2013-04-17 09:34:28	ga_ls8c_ard_3-0-0_092084_2013-04-17_final
2013-04-17 11:13:21	ga_ls8c_ard_3-0-0_108084_2013-04-17_final
2013-04-18 10:17:43	ga_ls8c_ard_3-0-0_099084_2013-04-18_final
2013-04-19 09:22:06	ga_ls8c_ard_3-0-0_090084_2013-04-18_final
2013-04-20 10:05:21	ga_ls8c_ard_3-0-0_097084_2013-04-20_final
2013-04-20 11:44:14	ga_ls8c_ard_3-0-0_113084_2013-04-20_final
2013-04-22 09:52:59	ga_ls8c_ard_3-0-0_095084_2013-04-22_final
2013-04-24 09:40:36	ga_ls8c_ard_3-0-0_093084_2013-04-24_final
2013-04-24 11:19:29	ga_ls8c_ard_3-0-0_109084_2013-04-24_final
2013-04-26 09:28:13	ga_ls8c_ard_3-0-0_091084_2013-04-25_final
2013-07-02 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-02_final
2013-07-02 09:59:21	ga_ls8c_ard_3-0-0_096084_2013-07-02_final
2013-07-02 11:38:14	ga_ls8c_ard_3-0-0_112084_2013-07-02_final
2013-07-04 09:46:35	ga_ls8c_ard_3-0-0_094083_2013-07-04_final
2013-07-04 09:46:59	ga_ls8c_ard_3-0-0_094084_2013-07-04_final
2013-07-04 11:25:52	ga_ls8c_ard_3-0-0_110084_2013-07-04_final
2013-08-14 09:40:50	ga_ls8c_ard_3-0-0_093084_2013-08-14_final
2013-08-14 11:19:19	ga_ls8c_ard_3-0-0_109083_2013-08-14_final
2013-08-14 11:19:43	ga_ls8c_ard_3-0-0_109084_2013-08-14_final
2013-08-15 10:24:06	ga_ls8c_ard_3-0-0_100084_2013-08-15_final
2013-08-16 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-08-15_final
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-08-25 09:22:20	ga_ls8c_ard_3-0-0_090084_2013-08-24_final
2013-08-25 11:00:49	ga_ls8c_ard_3-0-0_106083_2013-08-25_final
2013-08-26 10:05:36	ga_ls8c_ard_3-0-0_097084_2013-08-26_final
2013-08-26 11:44:29	ga_ls8c_ard_3-0-0_113084_2013-08-26_final
2013-08-28 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-08-28_final
2013-08-28 11:32:08	ga_ls8c_ard_3-0-0_111084_2013-08-28_final
2013-09-11 10:05:33	ga_ls8c_ard_3-0-0_097084_2013-09-11_final
2013-09-11 11:44:27	ga_ls8c_ard_3-0-0_113084_2013-09-11_final
2013-09-13 09:53:11	ga_ls8c_ard_3-0-0_095084_2013-09-13_final
2013-09-13 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-09-13_final
2013-09-15 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-09-15_final
2013-09-15 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-09-15_final
2013-10-24 09:46:47	ga_ls8c_ard_3-0-0_094084_2013-10-24_final
2013-10-24 11:25:40	ga_ls8c_ard_3-0-0_110084_2013-10-24_final
2013-10-26 11:13:17	ga_ls8c_ard_3-0-0_108084_2013-10-26_final
2013-10-27 10:17:39	ga_ls8c_ard_3-0-0_099084_2013-10-27_final
2013-11-12 10:17:38	ga_ls8c_ard_3-0-0_099084_2013-11-12_final
2013-11-13 09:22:01	ga_ls8c_ard_3-0-0_090084_2013-11-12_final
2013-11-14 10:05:16	ga_ls8c_ard_3-0-0_097084_2013-11-14_final
2013-11-14 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-11-14_final
2014-06-05 09:44:15	ga_ls8c_ard_3-0-0_094083_2014-06-05_final
2014-06-05 09:44:39	ga_ls8c_ard_3-0-0_094084_2014-06-05_final
2014-06-07 09:32:19	ga_ls8c_ard_3-0-0_092084_2014-06-07_final
2014-06-08 10:15:11	ga_ls8c_ard_3-0-0_099083_2014-06-08_final
2014-06-08 10:15:35	ga_ls8c_ard_3-0-0_099084_2014-06-08_final
2014-06-09 09:19:34	ga_ls8c_ard_3-0-0_090083_2014-06-08_final
2014-06-09 09:19:58	ga_ls8c_ard_3-0-0_090084_2014-06-08_final
2014-06-09 10:58:27	ga_ls8c_ard_3-0-0_106083_2014-06-09_final
2014-11-05 09:39:03	ga_ls8c_ard_3-0-0_093084_2014-11-05_final
2014-11-05 11:17:56	ga_ls8c_ard_3-0-0_109084_2014-11-05_final
2014-11-06 10:21:55	ga_ls8c_ard_3-0-0_100083_2014-11-06_final
2014-11-06 10:22:19	ga_ls8c_ard_3-0-0_100084_2014-11-06_final
2014-11-07 09:26:42	ga_ls8c_ard_3-0-0_091084_2014-11-06_final
2014-11-07 11:05:11	ga_ls8c_ard_3-0-0_107083_2014-11-07_final
2014-11-07 11:05:35	ga_ls8c_ard_3-0-0_107084_2014-11-07_final
2014-11-08 10:09:58	ga_ls8c_ard_3-0-0_098084_2014-11-08_final
2014-11-09 09:13:57	ga_ls8c_ard_3-0-0_089083_2014-11-08_final
2014-11-09 09:14:21	ga_ls8c_ard_3-0-0_089084_2014-11-08_final
2014-11-23 09:26:38	ga_ls8c_ard_3-0-0_091084_2014-11-22_final
2014-11-23 11:05:08	ga_ls8c_ard_3-0-0_107083_2014-11-23_final
2014-11-23 11:05:31	ga_ls8c_ard_3-0-0_107084_2014-11-23_final
2014-11-24 10:09:31	ga_ls8c_ard_3-0-0_098083_2014-11-24_final
2014-11-24 10:09:55	ga_ls8c_ard_3-0-0_098084_2014-11-24_final
2014-11-25 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-11-24_final
2018-03-08 10:09:22	ga_ls8c_ard_3-0-0_098084_2018-03-08_final
2018-03-09 09:13:44	ga_ls8c_ard_3-0-0_089084_2018-03-08_final
2018-03-10 09:56:59	ga_ls8c_ard_3-0-0_096084_2018-03-10_final
2018-03-10 11:35:52	ga_ls8c_ard_3-0-0_112084_2018-03-10_final
2018-04-13 09:44:21	ga_ls8c_ard_3-0-0_094084_2018-04-13_final
2018-04-13 11:23:14	ga_ls8c_ard_3-0-0_110084_2018-04-13_final
2018-04-14 10:27:36	ga_ls8c_ard_3-0-0_101084_2018-04-14_final
2018-04-15 09:31:58	ga_ls8c_ard_3-0-0_092084_2018-04-15_final
2018-04-15 11:10:51	ga_ls8c_ard_3-0-0_108084_2018-04-15_final
2018-04-25 10:08:57	ga_ls8c_ard_3-0-0_098084_2018-04-25_final
2018-04-26 09:13:19	ga_ls8c_ard_3-0-0_089084_2018-04-25_final
2018-04-27 09:56:35	ga_ls8c_ard_3-0-0_096084_2018-04-27_final
2018-04-27 11:35:28	ga_ls8c_ard_3-0-0_112084_2018-04-27_final
2018-05-29 09:56:12	ga_ls8c_ard_3-0-0_096084_2018-05-29_final
2018-05-29 11:35:05	ga_ls8c_ard_3-0-0_112084_2018-05-29_final
2018-05-31 09:43:49	ga_ls8c_ard_3-0-0_094084_2018-05-31_final
2018-05-31 11:22:42	ga_ls8c_ard_3-0-0_110084_2018-05-31_final
2018-06-01 10:27:04	ga_ls8c_ard_3-0-0_101084_2018-06-01_final
2018-06-02 09:31:02	ga_ls8c_ard_3-0-0_092083_2018-06-02_final
2018-06-02 09:31:26	ga_ls8c_ard_3-0-0_092084_2018-06-02_final
2018-06-02 11:09:55	ga_ls8c_ard_3-0-0_108083_2018-06-02_final
2018-06-02 11:10:19	ga_ls8c_ard_3-0-0_108084_2018-06-02_final
2018-06-15 10:39:07	ga_ls8c_ard_3-0-0_103083_2018-06-15_final
2018-06-16 09:43:31	ga_ls8c_ard_3-0-0_094083_2018-06-16_final
2018-06-16 09:43:55	ga_ls8c_ard_3-0-0_094084_2018-06-16_final
2018-06-16 11:22:24	ga_ls8c_ard_3-0-0_110083_2018-06-16_final
2018-06-16 11:22:48	ga_ls8c_ard_3-0-0_110084_2018-06-16_final
2018-06-17 10:26:47	ga_ls8c_ard_3-0-0_101083_2018-06-17_final
2018-06-17 10:27:11	ga_ls8c_ard_3-0-0_101084_2018-06-17_final
2018-06-18 09:31:11	ga_ls8c_ard_3-0-0_092083_2018-06-18_final
2018-06-18 09:31:34	ga_ls8c_ard_3-0-0_092084_2018-06-18_final
2018-06-18 11:10:04	ga_ls8c_ard_3-0-0_108083_2018-06-18_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years