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
2013-06-02 11:23:57	ga_ls8c_ard_3-0-0_110079_2013-06-02_final
2013-12-18 11:25:11	ga_ls8c_ard_3-0-0_111068_2013-12-18_final
2014-09-16 11:26:13	ga_ls8c_ard_3-0-0_111074_2014-09-16_final
2015-02-12 11:46:27	ga_ls8c_ard_3-0-0_114079_2015-02-12_final
2015-05-19 11:40:52	ga_ls8c_ard_3-0-0_114067_2015-05-19_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2016-06-08 11:35:57	ga_ls8c_ard_3-0-0_112084_2016-06-08_final
2016-12-26 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-12-26_final
2017-05-31 11:52:00	ga_ls8c_ard_3-0-0_115078_2017-05-31_final
2018-03-01 11:35:21	ga_ls8c_ard_3-0-0_113067_2018-03-01_final
2018-07-23 11:40:51	ga_ls8c_ard_3-0-0_113082_2018-07-23_final
2019-05-09 11:29:35	ga_ls8c_ard_3-0-0_111084_2019-05-09_final
2019-08-16 11:58:43	ga_ls8c_ard_3-1-0_116078_2019-08-16_final
2020-03-22 11:37:27	ga_ls8c_ard_3-1-0_113072_2020-03-22_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-08-28 10:53:19	ga_ls8c_ard_3-1-0_106069_2020-08-28_final
2020-11-01 11:42:45	ga_ls8c_ard_3-1-0_113084_2020-11-01_final
2020-12-07 09:38:47	ga_ls8c_ard_3-1-0_093083_2020-12-07_final
2021-01-25 10:17:27	ga_ls8c_ard_3-2-0_100072_2021-01-25_final
2021-02-15 10:34:20	ga_ls8c_ard_3-2-0_103068_2021-02-15_final
2021-02-20 10:54:02	ga_ls8c_ard_3-2-0_106071_2021-02-20_final
2021-03-09 09:56:41	ga_ls8c_ard_3-2-0_097067_2021-03-09_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-14 10:21:33	ga_ls8c_ard_3-2-0_100083_2021-03-14_final
2021-05-16 11:16:31	ga_ls8c_ard_3-2-0_109082_2021-05-16_final
2021-07-19 11:13:40	ga_ls8c_ard_3-2-0_109074_2021-07-19_final
2021-09-03 11:27:07	ga_ls8c_ard_3-2-0_111076_2021-09-03_final
2021-09-18 10:40:43	ga_ls8c_ard_3-2-0_104068_2021-09-18_final
2021-09-20 10:33:57	ga_ls8c_ard_3-2-0_102082_2021-09-20_final
2021-10-05 11:23:40	ga_ls8c_ard_3-2-0_111067_2021-10-05_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2021-10-10 11:42:14	ga_ls8c_ard_3-2-0_114067_2021-10-10_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-10-21 11:29:43	ga_ls8c_ard_3-2-0_111082_2021-10-21_final
2021-10-25 11:01:48	ga_ls8c_ard_3-2-0_107074_2021-10-25_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-11-16 10:25:01	ga_ls8c_ard_3-2-0_101075_2021-11-16_final
2021-12-27 11:58:52	ga_ls8c_ard_3-2-1_116078_2021-12-27_final
2021-12-28 09:25:09	ga_ls8c_ard_3-2-1_091080_2021-12-27_final
2022-01-12 10:17:32	ga_ls8c_ard_3-2-1_100072_2022-01-12_final
2022-02-09 09:06:27	ga_ls8c_ard_3-2-1_088080_2022-02-08_final
2022-02-25 10:46:03	ga_ls8c_ard_3-2-1_104082_2022-02-25_final
2022-02-26 08:10:44	ga_ls8c_ard_3-2-1_079080_2022-02-25_final
2022-03-24 10:22:55	ga_ls8c_ard_3-2-1_101071_2022-03-24_final
2022-03-28 09:57:44	ga_ls8c_ard_3-2-1_097070_2022-03-28_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-05-13 11:51:55	ga_ls8c_ard_3-2-1_115077_2022-05-13_final
2022-06-06 09:27:44	ga_ls8c_ard_3-2-1_091087_2022-06-05_final
2022-06-08 09:13:24	ga_ls8c_ard_3-2-1_089082_2022-06-07_final
2022-08-25 09:25:49	ga_ls8c_ard_3-2-1_091081_2022-08-24_final
2022-10-07 09:06:55	ga_ls8c_ard_3-2-1_088080_2022-10-06_final
2022-10-14 10:48:18	ga_ls8c_ard_3-2-1_105071_2022-10-14_final
2022-10-26 11:14:45	ga_ls8c_ard_3-2-1_109075_2022-10-26_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_final
2022-10-29 10:03:35	ga_ls8c_ard_3-2-1_098067_2022-10-29_final
2022-11-03 10:23:20	ga_ls8c_ard_3-2-1_101070_2022-11-03_final
2022-11-18 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-11-18_final
2022-11-18 11:20:25	ga_ls8c_ard_3-2-1_110074_2022-11-18_final
2022-11-22 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-11-22_final
2022-11-24 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-11-23_final
2022-12-11 11:24:13	ga_ls8c_ard_3-2-1_111068_2022-12-11_final
2022-12-14 11:59:05	ga_ls8c_ard_3-2-1_116078_2022-12-14_final
2022-12-20 11:19:55	ga_ls8c_ard_3-2-1_110073_2022-12-20_final
2023-01-02 09:12:32	ga_ls8c_ard_3-2-1_089079_2023-01-01_final
2023-01-20 10:36:09	ga_ls8c_ard_3-2-1_103072_2023-01-20_final
2023-02-24 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-02-24_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-22 11:44:53	ga_ls8c_ard_3-2-1_114075_2023-03-22_final
2023-03-28 09:27:41	ga_ls8c_ard_3-2-1_092072_2023-03-27_final
2023-03-28 09:32:04	ga_ls8c_ard_3-2-1_092083_2023-03-28_final
2023-04-06 09:21:22	ga_ls8c_ard_3-2-1_091072_2023-04-05_final
2023-04-07 10:03:48	ga_ls8c_ard_3-2-1_098070_2023-04-07_final
2023-04-09 11:31:28	ga_ls8c_ard_3-2-1_112073_2023-04-09_final
2023-04-09 11:34:40	ga_ls8c_ard_3-2-1_112081_2023-04-09_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-05-21 10:32:09	ga_ls8c_ard_3-2-1_102080_2023-05-21_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-05-26 10:45:31	ga_ls8c_ard_3-2-1_105067_2023-05-26_final
2023-06-01 10:13:13	ga_ls8c_ard_3-2-1_099079_2023-06-01_final
2023-06-06 10:30:14	ga_ls8c_ard_3-2-1_102075_2023-06-06_final
2023-06-07 11:13:55	ga_ls8c_ard_3-2-1_109076_2023-06-07_final
2023-06-08 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-06-08_final
2023-06-09 09:24:17	ga_ls8c_ard_3-2-1_091080_2023-06-08_final
2023-06-16 11:11:00	ga_ls8c_ard_3-2-1_108084_2023-06-16_final
2023-06-25 12:36:58	ga_ls8c_ard_3-2-1_123067_2023-06-25_final
2023-06-27 09:11:40	ga_ls8c_ard_3-2-1_089079_2023-06-26_final
2023-07-10 08:42:06	ga_ls8c_ard_3-2-1_084082_2023-07-09_final
2023-07-29 09:11:08	ga_ls8c_ard_3-2-1_089077_2023-07-28_final
2023-08-23 09:07:07	ga_ls8c_ard_3-2-1_088082_2023-08-22_final
2023-11-17 10:04:45	ga_ls8c_ard_3-2-1_098071_2023-11-17_final
2024-01-05 10:46:17	ga_ls8c_ard_3-2-1_105067_2024-01-05_final
2024-01-27 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-01-27_final
2024-02-01 10:29:20	ga_ls8c_ard_3-2-1_102071_2024-02-01_final
2024-02-03 11:58:40	ga_ls8c_ard_3-2-1_116078_2024-02-03_final
2024-02-10 10:23:11	ga_ls8c_ard_3-2-1_101071_2024-02-10_final
2024-02-16 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-02-16_final
2024-02-27 09:27:53	ga_ls8c_ard_3-2-1_092072_2024-02-26_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_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