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
2013-11-30 09:59:11	ga_ls8c_ard_3-0-0_097069_2013-11-30_final
2013-12-01 10:42:27	ga_ls8c_ard_3-0-0_104069_2013-12-01_final
2013-12-02 11:25:43	ga_ls8c_ard_3-0-0_111069_2013-12-02_final
2013-12-03 10:30:05	ga_ls8c_ard_3-0-0_102069_2013-12-03_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-01-16 10:54:20	ga_ls8c_ard_3-0-0_106069_2014-01-16_final
2014-01-17 09:58:43	ga_ls8c_ard_3-0-0_097069_2014-01-17_final
2014-02-03 10:41:52	ga_ls8c_ard_3-0-0_104069_2014-02-03_final
2014-02-05 10:29:29	ga_ls8c_ard_3-0-0_102069_2014-02-05_final
2020-03-15 09:51:15	ga_ls8c_ard_3-1-0_096069_2020-03-15_final
2020-03-15 11:30:08	ga_ls8c_ard_3-1-0_112069_2020-03-15_final
2020-03-16 10:34:30	ga_ls8c_ard_3-1-0_103069_2020-03-16_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-03-18 10:22:07	ga_ls8c_ard_3-1-0_101069_2020-03-18_final
2020-05-18 09:50:25	ga_ls8c_ard_3-1-0_096068_2020-05-18_final
2020-05-18 09:50:49	ga_ls8c_ard_3-1-0_096069_2020-05-18_final
2020-05-18 11:29:18	ga_ls8c_ard_3-1-0_112068_2020-05-18_final
2020-05-18 11:29:42	ga_ls8c_ard_3-1-0_112069_2020-05-18_final
2020-05-19 10:34:05	ga_ls8c_ard_3-1-0_103069_2020-05-19_final
2020-05-20 11:16:57	ga_ls8c_ard_3-1-0_110068_2020-05-20_final
2020-05-20 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-20_final
2020-05-21 10:21:44	ga_ls8c_ard_3-1-0_101069_2020-05-21_final
2020-05-22 09:25:43	ga_ls8c_ard_3-1-0_092068_2020-05-21_final
2020-10-07 10:03:40	ga_ls8c_ard_3-1-0_098068_2020-10-07_final
2020-10-07 10:04:04	ga_ls8c_ard_3-1-0_098069_2020-10-07_final
2020-10-13 11:05:29	ga_ls8c_ard_3-1-0_108068_2020-10-13_final
2020-10-13 11:05:53	ga_ls8c_ard_3-1-0_108069_2020-10-13_final
2020-10-14 10:09:52	ga_ls8c_ard_3-1-0_099068_2020-10-14_final
2020-10-14 10:10:16	ga_ls8c_ard_3-1-0_099069_2020-10-14_final
2020-10-22 10:59:42	ga_ls8c_ard_3-1-0_107069_2020-10-22_final
2020-10-31 10:53:07	ga_ls8c_ard_3-1-0_106068_2020-10-31_final
2020-10-31 10:53:30	ga_ls8c_ard_3-1-0_106069_2020-10-31_final
2020-11-01 09:57:53	ga_ls8c_ard_3-1-0_097069_2020-11-01_final
2020-12-09 10:59:19	ga_ls8c_ard_3-1-0_107068_2020-12-09_final
2020-12-09 10:59:43	ga_ls8c_ard_3-1-0_107069_2020-12-09_final
2020-12-10 10:04:06	ga_ls8c_ard_3-1-0_098069_2020-12-10_final
2020-12-11 10:47:22	ga_ls8c_ard_3-1-0_105069_2020-12-11_final
2021-02-17 10:22:21	ga_ls8c_ard_3-2-0_101069_2021-02-17_final
2021-02-18 11:05:37	ga_ls8c_ard_3-2-0_108069_2021-02-18_final
2021-02-19 10:09:59	ga_ls8c_ard_3-2-0_099069_2021-02-19_final
2021-02-20 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-02-20_final
2021-03-03 10:34:37	ga_ls8c_ard_3-2-0_103069_2021-03-03_final
2021-03-04 11:17:52	ga_ls8c_ard_3-2-0_110069_2021-03-04_final
2021-03-05 10:22:14	ga_ls8c_ard_3-2-0_101069_2021-03-05_final
2021-03-06 09:26:13	ga_ls8c_ard_3-2-0_092068_2021-03-05_final
2022-02-14 10:59:27	ga_ls8c_ard_3-2-1_107069_2022-02-14_final
2022-02-15 10:03:49	ga_ls8c_ard_3-2-1_098069_2022-02-15_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-02-18 10:34:42	ga_ls8c_ard_3-2-1_103069_2022-02-18_final
2022-02-19 11:17:57	ga_ls8c_ard_3-2-1_110069_2022-02-19_final
2022-02-20 10:22:19	ga_ls8c_ard_3-2-1_101069_2022-02-20_final
2022-02-21 11:05:35	ga_ls8c_ard_3-2-1_108069_2022-02-21_final
2022-02-22 10:09:57	ga_ls8c_ard_3-2-1_099069_2022-02-22_final
2022-02-23 10:53:13	ga_ls8c_ard_3-2-1_106069_2022-02-23_final
2022-02-24 09:57:36	ga_ls8c_ard_3-2-1_097069_2022-02-24_final
2022-05-28 11:05:28	ga_ls8c_ard_3-2-1_108069_2022-05-28_final
2022-05-29 10:09:52	ga_ls8c_ard_3-2-1_099069_2022-05-29_final
2022-05-30 10:53:09	ga_ls8c_ard_3-2-1_106069_2022-05-30_final
2022-05-31 09:57:33	ga_ls8c_ard_3-2-1_097069_2022-05-31_final
2022-06-01 10:40:49	ga_ls8c_ard_3-2-1_104069_2022-06-01_final
2022-06-02 11:23:42	ga_ls8c_ard_3-2-1_111068_2022-06-02_final
2022-06-02 11:24:06	ga_ls8c_ard_3-2-1_111069_2022-06-02_final
2022-06-03 10:28:05	ga_ls8c_ard_3-2-1_102068_2022-06-03_final
2022-06-03 10:28:29	ga_ls8c_ard_3-2-1_102069_2022-06-03_final
2022-06-04 11:11:46	ga_ls8c_ard_3-2-1_109069_2022-06-04_final
2022-06-06 10:59:02	ga_ls8c_ard_3-2-1_107068_2022-06-06_final
2022-06-06 10:59:26	ga_ls8c_ard_3-2-1_107069_2022-06-06_final
2022-06-07 10:03:26	ga_ls8c_ard_3-2-1_098068_2022-06-07_final
2022-06-07 10:03:50	ga_ls8c_ard_3-2-1_098069_2022-06-07_final
2022-06-08 10:47:06	ga_ls8c_ard_3-2-1_105069_2022-06-08_final
2022-06-10 10:34:46	ga_ls8c_ard_3-2-1_103069_2022-06-10_final
2022-06-11 11:18:02	ga_ls8c_ard_3-2-1_110069_2022-06-11_final
2022-06-15 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-06-15_final
2022-06-15 10:53:22	ga_ls8c_ard_3-2-1_106069_2022-06-15_final
2022-06-16 09:57:45	ga_ls8c_ard_3-2-1_097069_2022-06-16_final
2022-06-17 10:41:01	ga_ls8c_ard_3-2-1_104069_2022-06-17_final
2022-06-18 11:24:17	ga_ls8c_ard_3-2-1_111069_2022-06-18_final
2022-06-19 10:28:40	ga_ls8c_ard_3-2-1_102069_2022-06-19_final
2022-06-20 11:11:56	ga_ls8c_ard_3-2-1_109069_2022-06-20_final
2022-06-22 10:59:11	ga_ls8c_ard_3-2-1_107068_2022-06-22_final
2022-06-22 10:59:35	ga_ls8c_ard_3-2-1_107069_2022-06-22_final
2022-06-23 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-06-23_final
2022-06-23 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-06-23_final
2022-06-24 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-06-24_final
2022-06-24 10:47:14	ga_ls8c_ard_3-2-1_105069_2022-06-24_final
2022-07-03 10:41:04	ga_ls8c_ard_3-2-1_104069_2022-07-03_final
2022-07-04 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-07-04_final
2022-07-05 10:28:43	ga_ls8c_ard_3-2-1_102069_2022-07-05_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-07-10 10:46:51	ga_ls8c_ard_3-2-1_105068_2022-07-10_final
2022-07-10 10:47:15	ga_ls8c_ard_3-2-1_105069_2022-07-10_final
2022-07-15 11:05:46	ga_ls8c_ard_3-2-1_108069_2022-07-15_final
2022-07-16 10:09:45	ga_ls8c_ard_3-2-1_099068_2022-07-16_final
2022-07-16 10:10:09	ga_ls8c_ard_3-2-1_099069_2022-07-16_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-17 10:53:25	ga_ls8c_ard_3-2-1_106069_2022-07-17_final
2022-07-18 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-18_final
2022-07-18 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-07-18_final
2022-07-19 10:40:42	ga_ls8c_ard_3-2-1_104068_2022-07-19_final
2022-07-19 10:41:06	ga_ls8c_ard_3-2-1_104069_2022-07-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years