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
2014-07-19 10:08:49	ga_ls8c_ard_3-0-0_098082_2014-07-19_final
2014-07-19 10:09:12	ga_ls8c_ard_3-0-0_098083_2014-07-19_final
2014-07-20 09:13:11	ga_ls8c_ard_3-0-0_089082_2014-07-19_final
2014-07-20 09:13:35	ga_ls8c_ard_3-0-0_089083_2014-07-19_final
2014-07-21 09:56:27	ga_ls8c_ard_3-0-0_096082_2014-07-21_final
2014-07-21 09:56:51	ga_ls8c_ard_3-0-0_096083_2014-07-21_final
2014-07-21 11:35:44	ga_ls8c_ard_3-0-0_112083_2014-07-21_final
2014-07-23 09:44:29	ga_ls8c_ard_3-0-0_094083_2014-07-23_final
2014-07-23 11:22:58	ga_ls8c_ard_3-0-0_110082_2014-07-23_final
2014-07-23 11:23:22	ga_ls8c_ard_3-0-0_110083_2014-07-23_final
2014-07-24 10:27:45	ga_ls8c_ard_3-0-0_101083_2014-07-24_final
2014-07-25 09:32:08	ga_ls8c_ard_3-0-0_092083_2014-07-25_final
2014-07-25 11:11:01	ga_ls8c_ard_3-0-0_108083_2014-07-25_final
2014-07-26 10:15:24	ga_ls8c_ard_3-0-0_099083_2014-07-26_final
2014-07-27 09:19:48	ga_ls8c_ard_3-0-0_090083_2014-07-26_final
2014-07-27 10:58:17	ga_ls8c_ard_3-0-0_106082_2014-07-27_final
2014-07-27 10:58:41	ga_ls8c_ard_3-0-0_106083_2014-07-27_final
2014-09-11 09:32:24	ga_ls8c_ard_3-0-0_092083_2014-09-11_final
2014-09-11 11:11:17	ga_ls8c_ard_3-0-0_108083_2014-09-11_final
2014-09-12 10:15:16	ga_ls8c_ard_3-0-0_099082_2014-09-12_final
2014-09-12 10:15:40	ga_ls8c_ard_3-0-0_099083_2014-09-12_final
2014-09-13 09:20:02	ga_ls8c_ard_3-0-0_090083_2014-09-12_final
2014-09-13 10:58:55	ga_ls8c_ard_3-0-0_106083_2014-09-13_final
2014-09-27 09:32:21	ga_ls8c_ard_3-0-0_092083_2014-09-27_final
2014-09-27 11:11:15	ga_ls8c_ard_3-0-0_108083_2014-09-27_final
2014-09-28 10:15:38	ga_ls8c_ard_3-0-0_099083_2014-09-28_final
2014-09-29 09:20:01	ga_ls8c_ard_3-0-0_090083_2014-09-28_final
2014-09-29 10:58:55	ga_ls8c_ard_3-0-0_106083_2014-09-29_final
2014-10-07 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-08 09:13:31	ga_ls8c_ard_3-0-0_089082_2014-10-07_final
2014-10-08 09:13:55	ga_ls8c_ard_3-0-0_089083_2014-10-07_final
2014-10-09 09:57:10	ga_ls8c_ard_3-0-0_096083_2014-10-09_final
2014-10-09 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-10-09_final
2014-10-11 09:44:49	ga_ls8c_ard_3-0-0_094083_2014-10-11_final
2014-10-11 11:23:42	ga_ls8c_ard_3-0-0_110083_2014-10-11_final
2014-10-12 10:28:05	ga_ls8c_ard_3-0-0_101083_2014-10-12_final
2014-12-07 09:38:11	ga_ls8c_ard_3-0-0_093082_2014-12-07_final
2014-12-07 09:38:35	ga_ls8c_ard_3-0-0_093083_2014-12-07_final
2014-12-07 11:17:28	ga_ls8c_ard_3-0-0_109083_2014-12-07_final
2014-12-08 10:21:26	ga_ls8c_ard_3-0-0_100082_2014-12-08_final
2014-12-08 10:21:49	ga_ls8c_ard_3-0-0_100083_2014-12-08_final
2014-12-09 09:26:11	ga_ls8c_ard_3-0-0_091083_2014-12-08_final
2014-12-09 11:05:04	ga_ls8c_ard_3-0-0_107083_2014-12-09_final
2014-12-10 10:09:26	ga_ls8c_ard_3-0-0_098083_2014-12-10_final
2014-12-11 09:13:48	ga_ls8c_ard_3-0-0_089083_2014-12-10_final
2014-12-12 09:57:02	ga_ls8c_ard_3-0-0_096083_2014-12-12_final
2014-12-12 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-12-12_final
2015-08-08 10:51:50	ga_ls8c_ard_3-0-0_105082_2015-08-08_final
2015-08-08 10:52:14	ga_ls8c_ard_3-0-0_105083_2015-08-08_final
2015-08-09 09:56:37	ga_ls8c_ard_3-0-0_096083_2015-08-09_final
2015-08-09 11:35:30	ga_ls8c_ard_3-0-0_112083_2015-08-09_final
2015-08-23 10:09:06	ga_ls8c_ard_3-0-0_098083_2015-08-23_final
2015-08-24 09:13:05	ga_ls8c_ard_3-0-0_089082_2015-08-23_final
2015-08-24 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-08-23_final
2015-08-24 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-08-24_final
2015-08-25 09:56:21	ga_ls8c_ard_3-0-0_096082_2015-08-25_final
2015-08-25 09:56:45	ga_ls8c_ard_3-0-0_096083_2015-08-25_final
2015-08-25 11:35:38	ga_ls8c_ard_3-0-0_112083_2015-08-25_final
2015-11-24 09:38:35	ga_ls8c_ard_3-0-0_093083_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-25 10:21:51	ga_ls8c_ard_3-0-0_100083_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 11:04:43	ga_ls8c_ard_3-1-0_107082_2015-11-26_final
2015-11-26 11:05:06	ga_ls8c_ard_3-0-0_107083_2015-11-26_final
2015-11-27 10:09:29	ga_ls8c_ard_3-0-0_098083_2015-11-27_final
2015-11-28 09:13:52	ga_ls8c_ard_3-0-0_089083_2015-11-27_final
2015-11-28 10:52:21	ga_ls8c_ard_3-0-0_105082_2015-11-28_final
2015-11-28 10:52:45	ga_ls8c_ard_3-0-0_105083_2015-11-28_final
2015-11-29 09:57:07	ga_ls8c_ard_3-0-0_096083_2015-11-29_final
2015-11-29 11:36:01	ga_ls8c_ard_3-0-0_112083_2015-11-29_final
2019-03-10 09:25:42	ga_ls8c_ard_3-1-0_091083_2019-03-09_final
2019-03-10 11:04:35	ga_ls8c_ard_3-1-0_107083_2019-03-10_final
2019-03-11 10:08:57	ga_ls8c_ard_3-1-0_098083_2019-03-11_final
2019-03-12 09:13:20	ga_ls8c_ard_3-1-0_089083_2019-03-11_final
2019-03-12 10:52:12	ga_ls8c_ard_3-1-0_105083_2019-03-12_final
2019-03-13 09:56:35	ga_ls8c_ard_3-1-0_096083_2019-03-13_final
2019-03-13 11:35:28	ga_ls8c_ard_3-1-0_112083_2019-03-13_final
2019-04-08 10:33:34	ga_ls8c_ard_3-1-0_102083_2019-04-08_final
2019-04-09 09:37:56	ga_ls8c_ard_3-1-0_093083_2019-04-09_final
2019-04-09 11:16:49	ga_ls8c_ard_3-1-0_109083_2019-04-09_final
2019-04-10 10:21:11	ga_ls8c_ard_3-1-0_100083_2019-04-10_final
2019-04-11 09:25:34	ga_ls8c_ard_3-1-0_091083_2019-04-10_final
2019-04-11 11:04:27	ga_ls8c_ard_3-1-0_107083_2019-04-11_final
2019-04-29 09:12:43	ga_ls8c_ard_3-0-0_089082_2019-04-28_final
2019-04-29 09:13:07	ga_ls8c_ard_3-0-0_089083_2019-04-28_final
2019-04-30 09:55:59	ga_ls8c_ard_3-0-0_096082_2019-04-30_final
2019-06-16 09:13:09	ga_ls8c_ard_3-1-0_089082_2019-06-15_final
2019-06-16 09:13:32	ga_ls8c_ard_3-1-0_089083_2019-06-15_final
2019-06-16 10:52:26	ga_ls8c_ard_3-1-0_105083_2019-06-16_final
2019-06-17 09:56:49	ga_ls8c_ard_3-1-0_096083_2019-06-17_final
2019-06-17 11:35:42	ga_ls8c_ard_3-1-0_112083_2019-06-17_final
2019-09-25 09:32:35	ga_ls8c_ard_3-1-0_092083_2019-09-25_final
2019-09-25 11:11:28	ga_ls8c_ard_3-1-0_108083_2019-09-25_final
2019-11-09 10:40:36	ga_ls8c_ard_3-1-0_103083_2019-11-09_final
2019-11-10 09:44:35	ga_ls8c_ard_3-1-0_094082_2019-11-10_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-11-10_final
2019-11-11 10:27:50	ga_ls8c_ard_3-1-0_101082_2019-11-11_final
2019-11-11 10:28:14	ga_ls8c_ard_3-1-0_101083_2019-11-11_final
2019-11-12 09:32:37	ga_ls8c_ard_3-1-0_092083_2019-11-12_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