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
2016-05-30 09:56:49	ga_ls8c_ard_3-0-0_097068_2016-05-30_final
2016-05-30 09:57:13	ga_ls8c_ard_3-0-0_097069_2016-05-30_final
2016-05-31 10:40:05	ga_ls8c_ard_3-0-0_104068_2016-05-31_final
2016-05-31 10:40:29	ga_ls8c_ard_3-0-0_104069_2016-05-31_final
2016-06-01 11:23:21	ga_ls8c_ard_3-0-0_111068_2016-06-01_final
2016-06-02 10:27:44	ga_ls8c_ard_3-0-0_102068_2016-06-02_final
2016-06-02 10:28:08	ga_ls8c_ard_3-0-0_102069_2016-06-02_final
2016-06-03 09:32:07	ga_ls8c_ard_3-0-0_093068_2016-06-03_final
2016-06-03 11:11:00	ga_ls8c_ard_3-0-0_109068_2016-06-03_final
2016-06-04 10:15:23	ga_ls8c_ard_3-0-0_100068_2016-06-04_final
2016-06-04 10:15:47	ga_ls8c_ard_3-0-0_100069_2016-06-04_final
2016-06-05 09:19:46	ga_ls8c_ard_3-0-0_091068_2016-06-04_final
2016-06-22 10:03:06	ga_ls8c_ard_3-0-0_098068_2016-06-22_final
2016-06-22 10:03:30	ga_ls8c_ard_3-0-0_098069_2016-06-22_final
2016-06-23 10:46:23	ga_ls8c_ard_3-0-0_105068_2016-06-23_final
2016-06-23 10:46:47	ga_ls8c_ard_3-0-0_105069_2016-06-23_final
2016-06-24 09:50:46	ga_ls8c_ard_3-0-0_096068_2016-06-24_final
2016-06-24 11:29:39	ga_ls8c_ard_3-0-0_112068_2016-06-24_final
2016-06-24 11:30:03	ga_ls8c_ard_3-0-0_112069_2016-06-24_final
2016-06-25 10:34:02	ga_ls8c_ard_3-0-0_103068_2016-06-25_final
2016-06-25 10:34:26	ga_ls8c_ard_3-0-0_103069_2016-06-25_final
2016-07-15 10:09:29	ga_ls8c_ard_3-0-0_099068_2016-07-15_final
2016-07-16 10:52:45	ga_ls8c_ard_3-0-0_106068_2016-07-16_final
2016-07-16 10:53:09	ga_ls8c_ard_3-0-0_106069_2016-07-16_final
2016-07-17 09:57:08	ga_ls8c_ard_3-0-0_097068_2016-07-17_final
2016-07-18 10:40:24	ga_ls8c_ard_3-0-0_104068_2016-07-18_final
2016-07-18 10:40:48	ga_ls8c_ard_3-0-0_104069_2016-07-18_final
2016-07-19 11:23:40	ga_ls8c_ard_3-0-0_111068_2016-07-19_final
2016-07-19 11:24:04	ga_ls8c_ard_3-0-0_111069_2016-07-19_final
2016-07-20 10:28:03	ga_ls8c_ard_3-0-0_102068_2016-07-20_final
2016-07-20 10:28:27	ga_ls8c_ard_3-0-0_102069_2016-07-20_final
2016-07-21 09:32:26	ga_ls8c_ard_3-0-0_093068_2016-07-21_final
2016-07-24 10:03:21	ga_ls8c_ard_3-0-0_098068_2016-07-24_final
2016-07-24 10:03:44	ga_ls8c_ard_3-0-0_098069_2016-07-24_final
2016-07-25 10:46:36	ga_ls8c_ard_3-0-0_105068_2016-07-25_final
2016-07-26 09:50:59	ga_ls8c_ard_3-0-0_096068_2016-07-26_final
2016-07-26 11:29:52	ga_ls8c_ard_3-0-0_112068_2016-07-26_final
2016-07-26 11:30:16	ga_ls8c_ard_3-0-0_112069_2016-07-26_final
2016-08-09 10:03:23	ga_ls8c_ard_3-0-0_098068_2016-08-09_final
2016-08-09 10:03:47	ga_ls8c_ard_3-0-0_098069_2016-08-09_final
2016-08-10 10:46:38	ga_ls8c_ard_3-0-0_105068_2016-08-10_final
2016-08-11 09:51:01	ga_ls8c_ard_3-0-0_096068_2016-08-11_final
2016-08-11 11:29:54	ga_ls8c_ard_3-0-0_112068_2016-08-11_final
2016-08-12 10:34:17	ga_ls8c_ard_3-0-0_103068_2016-08-12_final
2016-09-10 10:03:34	ga_ls8c_ard_3-0-0_098068_2016-09-10_final
2016-09-10 10:03:58	ga_ls8c_ard_3-0-0_098069_2016-09-10_final
2016-09-11 10:46:50	ga_ls8c_ard_3-0-0_105068_2016-09-11_final
2016-09-11 10:47:14	ga_ls8c_ard_3-0-0_105069_2016-09-11_final
2016-09-12 09:51:13	ga_ls8c_ard_3-0-0_096068_2016-09-12_final
2016-09-12 11:30:06	ga_ls8c_ard_3-0-0_112068_2016-09-12_final
2016-09-13 10:34:29	ga_ls8c_ard_3-0-0_103068_2016-09-13_final
2016-09-19 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-09-19_final
2016-09-19 09:57:48	ga_ls8c_ard_3-0-0_097069_2016-09-19_final
2016-09-20 10:40:40	ga_ls8c_ard_3-0-0_104068_2016-09-20_final
2016-09-20 10:41:04	ga_ls8c_ard_3-0-0_104069_2016-09-20_final
2016-09-21 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-09-21_final
2020-06-29 10:27:50	ga_ls8c_ard_3-1-0_102068_2020-06-29_final
2020-06-30 09:32:13	ga_ls8c_ard_3-1-0_093068_2020-06-30_final
2020-06-30 11:11:06	ga_ls8c_ard_3-1-0_109068_2020-06-30_final
2020-06-30 11:11:30	ga_ls8c_ard_3-1-0_109069_2020-06-30_final
2020-07-01 10:15:29	ga_ls8c_ard_3-1-0_100068_2020-07-01_final
2020-07-26 10:09:27	ga_ls8c_ard_3-1-0_099068_2020-07-26_final
2020-07-27 10:52:43	ga_ls8c_ard_3-1-0_106068_2020-07-27_final
2020-07-27 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-07-27_final
2020-08-31 11:23:50	ga_ls8c_ard_3-1-0_111068_2020-08-31_final
2020-09-01 10:28:13	ga_ls8c_ard_3-1-0_102068_2020-09-01_final
2020-09-01 10:28:37	ga_ls8c_ard_3-1-0_102069_2020-09-01_final
2020-09-02 09:32:37	ga_ls8c_ard_3-1-0_093068_2020-09-02_final
2020-09-02 11:11:30	ga_ls8c_ard_3-1-0_109068_2020-09-02_final
2020-09-03 10:15:53	ga_ls8c_ard_3-1-0_100068_2020-09-03_final
2020-09-04 09:20:16	ga_ls8c_ard_3-1-0_091068_2020-09-03_final
2020-09-04 10:59:09	ga_ls8c_ard_3-1-0_107068_2020-09-04_final
2020-09-04 10:59:33	ga_ls8c_ard_3-1-0_107069_2020-09-04_final
2021-10-09 09:20:29	ga_ls8c_ard_3-2-0_091068_2021-10-08_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-10-11 10:47:25	ga_ls8c_ard_3-2-0_105069_2021-10-11_final
2021-10-12 09:51:24	ga_ls8c_ard_3-2-0_096068_2021-10-12_final
2021-10-12 09:51:48	ga_ls8c_ard_3-2-0_096069_2021-10-12_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-10-14 11:17:56	ga_ls8c_ard_3-2-0_110068_2021-10-14_final
2021-10-15 10:22:19	ga_ls8c_ard_3-2-0_101068_2021-10-15_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-05-25 10:03:03	ga_ls8c_ard_3-2-1_098069_2023-05-25_final
2023-05-26 10:45:55	ga_ls8c_ard_3-2-1_105068_2023-05-26_final
2023-05-26 10:46:19	ga_ls8c_ard_3-2-1_105069_2023-05-26_final
2023-05-28 10:33:34	ga_ls8c_ard_3-2-1_103068_2023-05-28_final
2023-05-28 10:33:58	ga_ls8c_ard_3-2-1_103069_2023-05-28_final
2023-05-29 11:17:13	ga_ls8c_ard_3-2-1_110069_2023-05-29_final
2023-05-30 10:21:36	ga_ls8c_ard_3-2-1_101069_2023-05-30_final
2023-05-31 11:04:52	ga_ls8c_ard_3-2-1_108069_2023-05-31_final
2023-08-07 10:40:17	ga_ls8c_ard_3-2-1_104068_2023-08-07_final
2023-08-07 10:40:41	ga_ls8c_ard_3-2-1_104069_2023-08-07_final
2023-08-08 11:23:33	ga_ls8c_ard_3-2-1_111068_2023-08-08_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-08-09 10:28:19	ga_ls8c_ard_3-2-1_102069_2023-08-09_final
2023-08-10 11:11:35	ga_ls8c_ard_3-2-1_109069_2023-08-10_final
2023-08-14 10:46:31	ga_ls8c_ard_3-2-1_105068_2023-08-14_final
2023-08-21 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-08-21_final
2023-08-21 10:53:10	ga_ls8c_ard_3-2-1_106069_2023-08-21_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