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
2014-07-11 09:20:09	ga_ls8c_ard_3-0-0_090084_2014-07-10_final
2014-07-11 09:20:33	ga_ls8c_ard_3-0-0_090085_2014-07-10_final
2014-07-12 10:03:25	ga_ls8c_ard_3-0-0_097084_2014-07-12_final
2014-07-12 10:03:49	ga_ls8c_ard_3-0-0_097085_2014-07-12_final
2014-07-12 11:42:18	ga_ls8c_ard_3-0-0_113084_2014-07-12_final
2014-07-14 09:51:04	ga_ls8c_ard_3-0-0_095084_2014-07-14_final
2014-07-14 09:51:28	ga_ls8c_ard_3-0-0_095085_2014-07-14_final
2014-07-14 11:29:57	ga_ls8c_ard_3-0-0_111084_2014-07-14_final
2014-07-28 10:03:28	ga_ls8c_ard_3-0-0_097084_2014-07-28_final
2014-07-28 10:03:52	ga_ls8c_ard_3-0-0_097085_2014-07-28_final
2014-07-28 11:42:21	ga_ls8c_ard_3-0-0_113084_2014-07-28_final
2014-07-30 09:51:08	ga_ls8c_ard_3-0-0_095084_2014-07-30_final
2014-07-30 09:51:32	ga_ls8c_ard_3-0-0_095085_2014-07-30_final
2014-07-30 11:30:01	ga_ls8c_ard_3-0-0_111084_2014-07-30_final
2014-08-08 09:45:02	ga_ls8c_ard_3-0-0_094084_2014-08-08_final
2014-08-29 10:03:37	ga_ls8c_ard_3-0-0_097084_2014-08-29_final
2014-08-29 10:04:01	ga_ls8c_ard_3-0-0_097085_2014-08-29_final
2014-08-29 11:42:31	ga_ls8c_ard_3-0-0_113084_2014-08-29_final
2014-08-31 09:51:17	ga_ls8c_ard_3-0-0_095084_2014-08-31_final
2014-08-31 09:51:41	ga_ls8c_ard_3-0-0_095085_2014-08-31_final
2014-08-31 11:30:10	ga_ls8c_ard_3-0-0_111084_2014-08-31_final
2014-09-16 09:51:20	ga_ls8c_ard_3-0-0_095084_2014-09-16_final
2014-09-16 09:51:44	ga_ls8c_ard_3-0-0_095085_2014-09-16_final
2014-09-16 11:30:13	ga_ls8c_ard_3-0-0_111084_2014-09-16_final
2014-10-02 09:51:21	ga_ls8c_ard_3-0-0_095084_2014-10-02_final
2014-10-02 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-10-02_final
2015-10-03 10:03:34	ga_ls8c_ard_3-0-0_097084_2015-10-03_final
2015-10-03 10:03:58	ga_ls8c_ard_3-0-0_097085_2015-10-03_final
2015-10-03 11:42:27	ga_ls8c_ard_3-0-0_113084_2015-10-03_final
2015-10-04 09:07:57	ga_ls8c_ard_3-0-0_088084_2015-10-03_final
2015-10-05 09:51:13	ga_ls8c_ard_3-0-0_095084_2015-10-05_final
2015-10-05 09:51:37	ga_ls8c_ard_3-0-0_095085_2015-10-05_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-10-05 11:30:30	ga_ls8c_ard_3-0-0_111085_2015-10-05_final
2015-10-07 09:38:51	ga_ls8c_ard_3-0-0_093084_2015-10-07_final
2015-10-07 09:39:15	ga_ls8c_ard_3-0-0_093085_2015-10-07_final
2015-10-07 11:17:44	ga_ls8c_ard_3-0-0_109084_2015-10-07_final
2015-10-07 11:18:08	ga_ls8c_ard_3-0-0_109085_2015-10-07_final
2017-04-05 09:26:01	ga_ls8c_ard_3-0-0_091084_2017-04-04_final
2017-04-05 11:04:54	ga_ls8c_ard_3-0-0_107084_2017-04-05_final
2017-04-06 10:09:16	ga_ls8c_ard_3-0-0_098084_2017-04-06_final
2017-04-07 09:13:38	ga_ls8c_ard_3-0-0_089084_2017-04-06_final
2017-04-08 09:56:54	ga_ls8c_ard_3-0-0_096084_2017-04-08_final
2017-04-08 11:35:47	ga_ls8c_ard_3-0-0_112084_2017-04-08_final
2017-05-05 09:38:08	ga_ls8c_ard_3-0-0_093084_2017-05-05_final
2017-05-05 09:38:32	ga_ls8c_ard_3-0-0_093085_2017-05-05_final
2017-05-05 11:17:01	ga_ls8c_ard_3-0-0_109084_2017-05-05_final
2017-05-05 11:17:25	ga_ls8c_ard_3-0-0_109085_2017-05-05_final
2017-05-06 10:21:24	ga_ls8c_ard_3-0-0_100084_2017-05-06_final
2017-05-06 10:21:48	ga_ls8c_ard_3-0-0_100085_2017-05-06_final
2017-05-07 09:25:48	ga_ls8c_ard_3-0-0_091084_2017-05-06_final
2017-05-07 09:26:12	ga_ls8c_ard_3-0-0_091085_2017-05-06_final
2017-05-07 11:04:41	ga_ls8c_ard_3-0-0_107084_2017-05-07_final
2017-05-07 11:05:05	ga_ls8c_ard_3-0-0_107085_2017-05-07_final
2017-07-10 09:26:16	ga_ls8c_ard_3-0-0_091084_2017-07-09_final
2017-07-10 11:05:09	ga_ls8c_ard_3-0-0_107084_2017-07-10_final
2017-07-10 11:05:33	ga_ls8c_ard_3-0-0_107085_2017-07-10_final
2017-07-11 10:09:32	ga_ls8c_ard_3-0-0_098084_2017-07-11_final
2017-07-11 10:09:56	ga_ls8c_ard_3-0-0_098085_2017-07-11_final
2017-07-12 09:13:55	ga_ls8c_ard_3-0-0_089084_2017-07-11_final
2017-07-12 09:14:19	ga_ls8c_ard_3-0-0_089085_2017-07-11_final
2017-07-13 09:57:11	ga_ls8c_ard_3-0-0_096084_2017-07-13_final
2017-07-13 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-07-13_final
2017-07-13 11:36:04	ga_ls8c_ard_3-0-0_112084_2017-07-13_final
2017-07-13 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-07-13_final
2017-08-09 09:38:51	ga_ls8c_ard_3-0-0_093084_2017-08-09_final
2017-08-09 09:39:15	ga_ls8c_ard_3-0-0_093085_2017-08-09_final
2017-08-09 11:17:44	ga_ls8c_ard_3-0-0_109084_2017-08-09_final
2017-08-09 11:18:08	ga_ls8c_ard_3-0-0_109085_2017-08-09_final
2017-08-10 10:22:07	ga_ls8c_ard_3-0-0_100084_2017-08-10_final
2017-08-11 09:26:30	ga_ls8c_ard_3-0-0_091084_2017-08-10_final
2017-08-11 09:26:54	ga_ls8c_ard_3-0-0_091085_2017-08-10_final
2017-08-11 11:05:23	ga_ls8c_ard_3-0-0_107084_2017-08-11_final
2017-08-27 09:26:34	ga_ls8c_ard_3-0-0_091084_2017-08-26_final
2017-08-27 09:26:58	ga_ls8c_ard_3-0-0_091085_2017-08-26_final
2017-08-27 11:05:27	ga_ls8c_ard_3-0-0_107084_2017-08-27_final
2020-02-14 09:45:03	ga_ls8c_ard_3-1-0_094084_2020-02-14_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-02-15 10:28:18	ga_ls8c_ard_3-1-0_101084_2020-02-15_final
2020-02-16 09:32:41	ga_ls8c_ard_3-1-0_092084_2020-02-16_final
2020-02-16 09:33:05	ga_ls8c_ard_3-1-0_092085_2020-02-16_final
2020-02-16 11:11:34	ga_ls8c_ard_3-1-0_108084_2020-02-16_final
2020-03-01 09:44:58	ga_ls8c_ard_3-1-0_094084_2020-03-01_final
2020-03-01 11:23:51	ga_ls8c_ard_3-1-0_110084_2020-03-01_final
2020-03-02 10:28:14	ga_ls8c_ard_3-1-0_101084_2020-03-02_final
2020-03-03 09:32:36	ga_ls8c_ard_3-1-0_092084_2020-03-03_final
2020-03-03 11:11:29	ga_ls8c_ard_3-1-0_108084_2020-03-03_final
2020-03-03 11:11:53	ga_ls8c_ard_3-1-0_108085_2020-03-03_final
2020-04-21 10:15:28	ga_ls8c_ard_3-1-0_099084_2020-04-21_final
2020-04-22 09:19:50	ga_ls8c_ard_3-1-0_090084_2020-04-21_final
2020-04-22 10:58:43	ga_ls8c_ard_3-1-0_106084_2020-04-22_final
2020-04-23 10:03:05	ga_ls8c_ard_3-1-0_097084_2020-04-23_final
2020-04-23 11:41:58	ga_ls8c_ard_3-1-0_113084_2020-04-23_final
2020-05-09 10:02:57	ga_ls8c_ard_3-1-0_097084_2020-05-09_final
2020-05-09 10:03:21	ga_ls8c_ard_3-1-0_097085_2020-05-09_final
2020-05-09 11:41:50	ga_ls8c_ard_3-1-0_113084_2020-05-09_final
2020-05-10 09:07:20	ga_ls8c_ard_3-1-0_088084_2020-05-09_final
2020-05-11 09:50:36	ga_ls8c_ard_3-1-0_095084_2020-05-11_final
2020-05-11 09:50:59	ga_ls8c_ard_3-1-0_095085_2020-05-11_final
2020-05-11 11:29:29	ga_ls8c_ard_3-1-0_111084_2020-05-11_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