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
2018-08-11 10:27:28	ga_ls8c_ard_3-0-0_102068_2018-08-11_final
2018-08-11 10:27:52	ga_ls8c_ard_3-0-0_102069_2018-08-11_final
2018-08-12 09:31:51	ga_ls8c_ard_3-0-0_093068_2018-08-12_final
2018-08-12 11:10:44	ga_ls8c_ard_3-0-0_109068_2018-08-12_final
2018-08-12 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-08-12_final
2018-08-13 10:15:07	ga_ls8c_ard_3-0-0_100068_2018-08-13_final
2018-09-16 10:02:58	ga_ls8c_ard_3-0-0_098068_2018-09-16_final
2018-09-16 10:03:22	ga_ls8c_ard_3-0-0_098069_2018-09-16_final
2018-09-17 10:46:14	ga_ls8c_ard_3-0-0_105068_2018-09-17_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-07 10:46:28	ga_ls8c_ard_3-0-0_105068_2019-01-07_final
2020-03-12 09:19:58	ga_ls8c_ard_3-1-0_091068_2020-03-11_final
2020-03-12 10:58:51	ga_ls8c_ard_3-1-0_107068_2020-03-12_final
2020-03-19 11:04:59	ga_ls8c_ard_3-1-0_108068_2020-03-19_final
2020-03-20 10:09:21	ga_ls8c_ard_3-1-0_099068_2020-03-20_final
2020-03-21 10:52:36	ga_ls8c_ard_3-1-0_106068_2020-03-21_final
2020-03-22 09:56:58	ga_ls8c_ard_3-1-0_097068_2020-03-22_final
2020-03-23 10:40:13	ga_ls8c_ard_3-1-0_104068_2020-03-23_final
2020-03-28 09:19:49	ga_ls8c_ard_3-1-0_091068_2020-03-27_final
2020-03-28 10:58:42	ga_ls8c_ard_3-1-0_107068_2020-03-28_final
2020-04-15 10:46:13	ga_ls8c_ard_3-1-0_105068_2020-04-15_final
2020-04-16 09:50:35	ga_ls8c_ard_3-1-0_096068_2020-04-16_final
2020-04-16 11:29:28	ga_ls8c_ard_3-1-0_112068_2020-04-16_final
2020-04-17 10:33:50	ga_ls8c_ard_3-1-0_103068_2020-04-17_final
2020-04-25 11:23:13	ga_ls8c_ard_3-1-0_111068_2020-04-25_final
2020-04-26 10:27:35	ga_ls8c_ard_3-1-0_102068_2020-04-26_final
2020-04-27 09:31:57	ga_ls8c_ard_3-1-0_093068_2020-04-27_final
2020-04-27 11:10:50	ga_ls8c_ard_3-1-0_109068_2020-04-27_final
2020-04-28 10:15:12	ga_ls8c_ard_3-1-0_100068_2020-04-28_final
2020-04-29 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-04-28_final
2020-04-29 10:58:27	ga_ls8c_ard_3-1-0_107068_2020-04-29_final
2020-05-06 11:04:34	ga_ls8c_ard_3-1-0_108068_2020-05-06_final
2020-05-07 10:08:56	ga_ls8c_ard_3-1-0_099068_2020-05-07_final
2020-05-08 10:52:11	ga_ls8c_ard_3-1-0_106068_2020-05-08_final
2020-05-09 09:56:33	ga_ls8c_ard_3-1-0_097068_2020-05-09_final
2020-05-10 10:39:49	ga_ls8c_ard_3-1-0_104068_2020-05-10_final
2020-05-15 09:19:30	ga_ls8c_ard_3-1-0_091068_2020-05-14_final
2020-05-15 10:58:23	ga_ls8c_ard_3-1-0_107068_2020-05-15_final
2020-05-22 11:04:36	ga_ls8c_ard_3-1-0_108068_2020-05-22_final
2020-05-22 11:04:59	ga_ls8c_ard_3-1-0_108069_2020-05-22_final
2020-05-23 10:08:58	ga_ls8c_ard_3-1-0_099068_2020-05-23_final
2020-05-24 10:52:14	ga_ls8c_ard_3-1-0_106068_2020-05-24_final
2020-05-25 09:56:37	ga_ls8c_ard_3-1-0_097068_2020-05-25_final
2020-05-25 09:57:01	ga_ls8c_ard_3-1-0_097069_2020-05-25_final
2020-05-26 10:39:53	ga_ls8c_ard_3-1-0_104068_2020-05-26_final
2020-05-26 10:40:17	ga_ls8c_ard_3-1-0_104069_2020-05-26_final
2020-05-31 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-05-30_final
2020-05-31 10:58:27	ga_ls8c_ard_3-1-0_107068_2020-05-31_final
2020-06-05 11:17:03	ga_ls8c_ard_3-1-0_110068_2020-06-05_final
2020-06-06 10:21:27	ga_ls8c_ard_3-1-0_101068_2020-06-06_final
2020-06-07 09:25:50	ga_ls8c_ard_3-1-0_092068_2020-06-06_final
2020-06-07 11:04:43	ga_ls8c_ard_3-1-0_108068_2020-06-07_final
2020-06-08 10:09:06	ga_ls8c_ard_3-1-0_099068_2020-06-08_final
2020-06-09 10:52:23	ga_ls8c_ard_3-1-0_106068_2020-06-09_final
2020-06-09 10:52:46	ga_ls8c_ard_3-1-0_106069_2020-06-09_final
2020-06-10 09:56:46	ga_ls8c_ard_3-1-0_097068_2020-06-10_final
2020-06-10 09:57:10	ga_ls8c_ard_3-1-0_097069_2020-06-10_final
2020-06-11 10:40:02	ga_ls8c_ard_3-1-0_104068_2020-06-11_final
2020-06-11 10:40:26	ga_ls8c_ard_3-1-0_104069_2020-06-11_final
2020-06-18 10:46:17	ga_ls8c_ard_3-1-0_105068_2020-06-18_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-19 09:50:40	ga_ls8c_ard_3-1-0_096068_2020-06-19_final
2020-06-19 09:51:04	ga_ls8c_ard_3-1-0_096069_2020-06-19_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-06-20 10:33:56	ga_ls8c_ard_3-1-0_103068_2020-06-20_final
2023-01-13 10:28:25	ga_ls8c_ard_3-2-1_102068_2023-01-13_final
2023-01-18 10:46:53	ga_ls8c_ard_3-2-1_105068_2023-01-18_final
2023-01-20 10:34:33	ga_ls8c_ard_3-2-1_103068_2023-01-20_final
2023-01-24 10:09:53	ga_ls8c_ard_3-2-1_099068_2023-01-24_final
2023-01-25 10:53:09	ga_ls8c_ard_3-2-1_106068_2023-01-25_final
2023-01-26 09:57:32	ga_ls8c_ard_3-2-1_097068_2023-01-26_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-02-01 10:59:21	ga_ls8c_ard_3-2-1_107068_2023-02-01_final
2023-02-02 10:03:44	ga_ls8c_ard_3-2-1_098068_2023-02-02_final
2023-02-03 10:46:59	ga_ls8c_ard_3-2-1_105068_2023-02-03_final
2023-02-05 10:34:37	ga_ls8c_ard_3-2-1_103068_2023-02-05_final
2023-02-09 10:09:52	ga_ls8c_ard_3-2-1_099068_2023-02-09_final
2023-02-10 10:53:07	ga_ls8c_ard_3-2-1_106068_2023-02-10_final
2023-02-11 09:57:29	ga_ls8c_ard_3-2-1_097068_2023-02-11_final
2023-02-12 10:40:44	ga_ls8c_ard_3-2-1_104068_2023-02-12_final
2023-02-13 11:23:59	ga_ls8c_ard_3-2-1_111068_2023-02-13_final
2023-02-14 10:28:21	ga_ls8c_ard_3-2-1_102068_2023-02-14_final
2023-02-17 10:59:12	ga_ls8c_ard_3-2-1_107068_2023-02-17_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-02-25 10:09:35	ga_ls8c_ard_3-2-1_099068_2023-02-25_final
2023-02-26 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-02-26_final
2023-02-27 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-02-27_final
2023-02-28 10:40:29	ga_ls8c_ard_3-2-1_104068_2023-02-28_final
2023-03-05 10:59:00	ga_ls8c_ard_3-2-1_107068_2023-03-05_final
2023-03-06 10:03:22	ga_ls8c_ard_3-2-1_098068_2023-03-06_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-15 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-03-15_final
2023-03-16 10:40:23	ga_ls8c_ard_3-2-1_104068_2023-03-16_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-03-31 09:56:57	ga_ls8c_ard_3-2-1_097068_2023-03-31_final
2023-04-01 10:40:12	ga_ls8c_ard_3-2-1_104068_2023-04-01_final
2023-07-18 11:05:15	ga_ls8c_ard_3-2-1_108069_2023-07-18_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