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
2014-10-07 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
2014-10-08 10:52:24	ga_ls8c_ard_3-0-0_105082_2014-10-08_final
2014-10-09 09:57:10	ga_ls8c_ard_3-0-0_096083_2014-10-09_final
2014-10-09 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-10-09_final
2014-10-09 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-10-09_final
2014-10-11 09:44:25	ga_ls8c_ard_3-0-0_094082_2014-10-11_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
2014-12-14 09:44:42	ga_ls8c_ard_3-0-0_094083_2014-12-14_final
2014-12-14 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-12-14_final
2014-12-15 10:27:59	ga_ls8c_ard_3-0-0_101083_2014-12-15_final
2014-12-16 09:32:22	ga_ls8c_ard_3-0-0_092083_2014-12-16_final
2014-12-16 11:11:15	ga_ls8c_ard_3-0-0_108083_2014-12-16_final
2014-12-17 10:15:38	ga_ls8c_ard_3-0-0_099083_2014-12-17_final
2014-12-18 09:20:01	ga_ls8c_ard_3-0-0_090083_2014-12-17_final
2014-12-18 10:58:30	ga_ls8c_ard_3-0-0_106082_2014-12-18_final
2014-12-18 10:58:54	ga_ls8c_ard_3-0-0_106083_2014-12-18_final
2015-02-27 09:25:51	ga_ls8c_ard_3-0-0_091083_2015-02-26_final
2015-02-27 11:04:44	ga_ls8c_ard_3-0-0_107083_2015-02-27_final
2015-06-17 09:37:20	ga_ls8c_ard_3-0-0_093082_2015-06-17_final
2015-06-17 09:37:44	ga_ls8c_ard_3-0-0_093083_2015-06-17_final
2015-06-17 11:16:13	ga_ls8c_ard_3-0-0_109082_2015-06-17_final
2015-06-17 11:16:37	ga_ls8c_ard_3-0-0_109083_2015-06-17_final
2015-06-18 10:21:00	ga_ls8c_ard_3-0-0_100083_2015-06-18_final
2015-06-19 09:25:23	ga_ls8c_ard_3-0-0_091083_2015-06-18_final
2015-06-19 11:03:52	ga_ls8c_ard_3-0-0_107082_2015-06-19_final
2015-06-19 11:04:16	ga_ls8c_ard_3-0-0_107083_2015-06-19_final
2020-06-13 10:33:17	ga_ls8c_ard_3-1-0_102082_2020-06-13_final
2020-06-13 10:33:41	ga_ls8c_ard_3-1-0_102083_2020-06-13_final
2020-06-14 09:38:04	ga_ls8c_ard_3-1-0_093083_2020-06-14_final
2020-06-14 11:16:33	ga_ls8c_ard_3-1-0_109082_2020-06-14_final
2020-06-14 11:16:57	ga_ls8c_ard_3-1-0_109083_2020-06-14_final
2020-06-20 10:39:32	ga_ls8c_ard_3-1-0_103082_2020-06-20_final
2020-06-20 10:39:55	ga_ls8c_ard_3-1-0_103083_2020-06-20_final
2020-06-21 09:43:55	ga_ls8c_ard_3-1-0_094082_2020-06-21_final
2020-06-21 09:44:19	ga_ls8c_ard_3-1-0_094083_2020-06-21_final
2020-06-21 11:22:48	ga_ls8c_ard_3-1-0_110082_2020-06-21_final
2020-06-21 11:23:12	ga_ls8c_ard_3-1-0_110083_2020-06-21_final
2020-06-22 08:48:18	ga_ls8c_ard_3-2-1_085082_2020-06-21_final
2020-06-22 10:27:11	ga_ls8c_ard_3-1-0_101082_2020-06-22_final
2020-06-22 10:27:35	ga_ls8c_ard_3-1-0_101083_2020-06-22_final
2020-07-18 09:25:57	ga_ls8c_ard_3-1-0_091083_2020-07-17_final
2020-07-18 11:04:27	ga_ls8c_ard_3-1-0_107082_2020-07-18_final
2020-07-18 11:04:51	ga_ls8c_ard_3-1-0_107083_2020-07-18_final
2020-08-17 09:38:28	ga_ls8c_ard_3-1-0_093083_2020-08-17_final
2020-08-17 11:17:21	ga_ls8c_ard_3-1-0_109083_2020-08-17_final
2020-08-18 08:42:27	ga_ls8c_ard_3-2-1_084082_2020-08-17_final
2020-08-18 10:21:20	ga_ls8c_ard_3-1-0_100082_2020-08-18_final
2020-08-18 10:21:44	ga_ls8c_ard_3-1-0_100083_2020-08-18_final
2021-01-03 09:20:10	ga_ls8c_ard_3-2-0_090083_2021-01-02_final
2021-01-03 10:59:03	ga_ls8c_ard_3-2-0_106083_2021-01-03_final
2021-01-08 09:38:40	ga_ls8c_ard_3-2-0_093083_2021-01-08_final
2021-01-08 11:17:33	ga_ls8c_ard_3-2-0_109083_2021-01-08_final
2021-01-09 10:21:55	ga_ls8c_ard_3-2-0_100083_2021-01-09_final
2021-01-13 11:36:03	ga_ls8c_ard_3-2-0_112083_2021-01-13_final
2021-01-14 10:40:25	ga_ls8c_ard_3-2-0_103083_2021-01-14_final
2021-01-15 09:44:47	ga_ls8c_ard_3-2-0_094083_2021-01-15_final
2021-02-17 10:27:56	ga_ls8c_ard_3-2-0_101083_2021-02-17_final
2021-02-18 09:32:19	ga_ls8c_ard_3-2-0_092083_2021-02-18_final
2021-03-03 10:40:12	ga_ls8c_ard_3-2-0_103083_2021-03-03_final
2021-03-04 09:44:34	ga_ls8c_ard_3-2-0_094083_2021-03-04_final
2021-03-04 11:23:27	ga_ls8c_ard_3-2-0_110083_2021-03-04_final
2022-01-22 10:58:33	ga_ls8c_ard_3-2-1_106082_2022-01-22_final
2022-01-22 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-01-22_final
2022-01-23 10:03:20	ga_ls8c_ard_3-2-1_097083_2022-01-23_final
2022-01-23 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-01-23_final
2022-01-24 09:07:42	ga_ls8c_ard_3-2-1_088083_2022-01-23_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-04-21 09:13:08	ga_ls8c_ard_3-2-1_089082_2022-04-20_final
2022-04-21 09:13:32	ga_ls8c_ard_3-2-1_089083_2022-04-20_final
2022-04-21 10:52:01	ga_ls8c_ard_3-2-1_105082_2022-04-21_final
2022-04-21 10:52:25	ga_ls8c_ard_3-2-1_105083_2022-04-21_final
2022-04-22 09:56:23	ga_ls8c_ard_3-2-1_096082_2022-04-22_final
2022-04-22 09:56:47	ga_ls8c_ard_3-2-1_096083_2022-04-22_final
2022-04-22 11:35:40	ga_ls8c_ard_3-2-1_112083_2022-04-22_final
2022-04-24 09:44:01	ga_ls8c_ard_3-2-1_094082_2022-04-24_final
2022-04-24 09:44:25	ga_ls8c_ard_3-2-1_094083_2022-04-24_final
2022-04-24 11:23:18	ga_ls8c_ard_3-2-1_110083_2022-04-24_final
2022-05-05 09:25:55	ga_ls8c_ard_3-2-1_091083_2022-05-04_final
2022-05-05 11:04:24	ga_ls8c_ard_3-2-1_107082_2022-05-05_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-05-07 09:13:10	ga_ls8c_ard_3-2-1_089082_2022-05-06_final
2022-05-07 09:13:34	ga_ls8c_ard_3-2-1_089083_2022-05-06_final
2022-05-07 10:52:03	ga_ls8c_ard_3-2-1_105082_2022-05-07_final
2022-05-07 10:52:27	ga_ls8c_ard_3-2-1_105083_2022-05-07_final
2022-05-24 11:35:48	ga_ls8c_ard_3-2-1_112083_2022-05-24_final
2022-05-26 09:44:32	ga_ls8c_ard_3-2-1_094083_2022-05-26_final
2022-05-26 11:23:25	ga_ls8c_ard_3-2-1_110083_2022-05-26_final
2022-05-27 10:27:24	ga_ls8c_ard_3-2-1_101082_2022-05-27_final
2022-05-27 10:27:48	ga_ls8c_ard_3-2-1_101083_2022-05-27_final
2022-05-28 09:32:11	ga_ls8c_ard_3-2-1_092083_2022-05-28_final
2022-05-28 11:10:40	ga_ls8c_ard_3-2-1_108082_2022-05-28_final
2022-05-28 11:11:04	ga_ls8c_ard_3-2-1_108083_2022-05-28_final
2022-05-29 10:15:27	ga_ls8c_ard_3-2-1_099083_2022-05-29_final
2022-05-30 09:19:51	ga_ls8c_ard_3-2-1_090083_2022-05-29_final
2022-05-30 10:58:44	ga_ls8c_ard_3-2-1_106083_2022-05-30_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