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
2013-12-07 10:04:58	ga_ls8c_ard_3-0-0_098068_2013-12-07_final
2013-12-08 10:48:13	ga_ls8c_ard_3-0-0_105068_2013-12-08_final
2013-12-16 09:59:06	ga_ls8c_ard_3-0-0_097069_2013-12-16_final
2013-12-17 10:41:56	ga_ls8c_ard_3-0-0_104068_2013-12-17_final
2013-12-18 11:25:11	ga_ls8c_ard_3-0-0_111068_2013-12-18_final
2013-12-18 11:25:35	ga_ls8c_ard_3-0-0_111069_2013-12-18_final
2014-03-20 10:09:58	ga_ls8c_ard_3-0-0_099068_2014-03-20_final
2014-03-21 10:53:12	ga_ls8c_ard_3-0-0_106068_2014-03-21_final
2014-03-23 10:40:48	ga_ls8c_ard_3-0-0_104068_2014-03-23_final
2014-03-24 11:24:02	ga_ls8c_ard_3-0-0_111068_2014-03-24_final
2014-03-25 10:28:23	ga_ls8c_ard_3-0-0_102068_2014-03-25_final
2014-06-23 11:04:52	ga_ls8c_ard_3-0-0_108068_2014-06-23_final
2014-06-23 11:05:16	ga_ls8c_ard_3-0-0_108069_2014-06-23_final
2014-06-24 10:09:14	ga_ls8c_ard_3-0-0_099068_2014-06-24_final
2014-06-24 10:09:38	ga_ls8c_ard_3-0-0_099069_2014-06-24_final
2014-06-25 10:52:30	ga_ls8c_ard_3-0-0_106068_2014-06-25_final
2014-06-25 10:52:54	ga_ls8c_ard_3-0-0_106069_2014-06-25_final
2014-06-30 11:11:05	ga_ls8c_ard_3-0-0_109068_2014-06-30_final
2014-06-30 11:11:29	ga_ls8c_ard_3-0-0_109069_2014-06-30_final
2014-07-02 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-07-01_final
2014-07-03 10:03:08	ga_ls8c_ard_3-0-0_098068_2014-07-03_final
2014-07-03 10:03:32	ga_ls8c_ard_3-0-0_098069_2014-07-03_final
2014-07-04 10:46:25	ga_ls8c_ard_3-0-0_105068_2014-07-04_final
2014-07-04 10:46:49	ga_ls8c_ard_3-0-0_105069_2014-07-04_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-09-11 11:05:18	ga_ls8c_ard_3-0-0_108068_2014-09-11_final
2014-09-11 11:05:42	ga_ls8c_ard_3-0-0_108069_2014-09-11_final
2014-09-12 10:09:40	ga_ls8c_ard_3-0-0_099068_2014-09-12_final
2014-09-12 10:10:04	ga_ls8c_ard_3-0-0_099069_2014-09-12_final
2014-09-13 10:52:56	ga_ls8c_ard_3-0-0_106068_2014-09-13_final
2014-09-13 10:53:20	ga_ls8c_ard_3-0-0_106069_2014-09-13_final
2014-10-07 10:03:33	ga_ls8c_ard_3-0-0_098068_2014-10-07_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-08 10:46:48	ga_ls8c_ard_3-0-0_105068_2014-10-08_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-09 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 13:08:57	ga_ls8c_ard_3-2-1_128068_2014-10-09_interim
2014-10-10 10:34:27	ga_ls8c_ard_3-0-0_103068_2014-10-10_final
2014-10-10 10:34:51	ga_ls8c_ard_3-0-0_103069_2014-10-10_final
2014-10-11 11:17:43	ga_ls8c_ard_3-0-0_110068_2014-10-11_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-13 09:26:29	ga_ls8c_ard_3-0-0_092068_2014-10-12_final
2019-07-30 11:11:22	ga_ls8c_ard_3-1-0_109068_2019-07-30_final
2019-07-30 11:11:46	ga_ls8c_ard_3-1-0_109069_2019-07-30_final
2019-07-31 10:15:45	ga_ls8c_ard_3-1-0_100068_2019-07-31_final
2019-07-31 10:16:09	ga_ls8c_ard_3-1-0_100069_2019-07-31_final
2019-08-01 09:20:08	ga_ls8c_ard_3-1-0_091068_2019-07-31_final
2019-08-01 10:59:01	ga_ls8c_ard_3-1-0_107068_2019-08-01_final
2019-08-01 10:59:25	ga_ls8c_ard_3-1-0_107069_2019-08-01_final
2019-09-16 11:11:37	ga_ls8c_ard_3-1-0_109068_2019-09-16_final
2019-09-16 11:12:01	ga_ls8c_ard_3-1-0_109069_2019-09-16_final
2019-09-17 10:16:00	ga_ls8c_ard_3-1-0_100068_2019-09-17_final
2019-09-17 10:16:24	ga_ls8c_ard_3-1-0_100069_2019-09-17_final
2019-09-18 09:20:23	ga_ls8c_ard_3-1-0_091068_2019-09-17_final
2019-09-18 10:59:16	ga_ls8c_ard_3-1-0_107068_2019-09-18_final
2019-09-18 10:59:40	ga_ls8c_ard_3-1-0_107069_2019-09-18_final
2019-10-14 09:57:33	ga_ls8c_ard_3-1-0_097068_2019-10-14_final
2019-10-14 09:57:57	ga_ls8c_ard_3-1-0_097069_2019-10-14_final
2019-10-15 10:40:49	ga_ls8c_ard_3-1-0_104068_2019-10-15_final
2019-10-15 10:41:13	ga_ls8c_ard_3-1-0_104069_2019-10-15_final
2019-10-16 11:24:05	ga_ls8c_ard_3-1-0_111068_2019-10-16_final
2019-11-03 11:11:43	ga_ls8c_ard_3-1-0_109068_2019-11-03_final
2019-11-04 10:16:06	ga_ls8c_ard_3-1-0_100068_2019-11-04_final
2019-11-05 09:20:28	ga_ls8c_ard_3-1-0_091068_2019-11-04_final
2019-11-05 10:59:21	ga_ls8c_ard_3-1-0_107068_2019-11-05_final
2019-11-05 10:59:45	ga_ls8c_ard_3-1-0_107069_2019-11-05_final
2019-11-14 10:53:09	ga_ls8c_ard_3-1-0_106068_2019-11-14_final
2019-11-14 10:53:32	ga_ls8c_ard_3-1-0_106069_2019-11-14_final
2019-11-15 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-11-15_final
2019-11-15 09:57:55	ga_ls8c_ard_3-1-0_097069_2019-11-15_final
2019-12-01 09:57:29	ga_ls8c_ard_3-1-0_097068_2019-12-01_final
2019-12-02 10:40:45	ga_ls8c_ard_3-1-0_104068_2019-12-02_final
2019-12-02 10:41:09	ga_ls8c_ard_3-1-0_104069_2019-12-02_final
2019-12-03 11:24:01	ga_ls8c_ard_3-1-0_111068_2019-12-03_final
2019-12-03 11:24:25	ga_ls8c_ard_3-1-0_111069_2019-12-03_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
2023-02-02 10:04:08	ga_ls8c_ard_3-2-1_098069_2023-02-02_final
2023-03-21 10:58:51	ga_ls8c_ard_3-2-1_107068_2023-03-21_final
2023-03-21 10:59:15	ga_ls8c_ard_3-2-1_107069_2023-03-21_final
2023-03-22 10:03:13	ga_ls8c_ard_3-2-1_098068_2023-03-22_final
2023-03-22 10:03:37	ga_ls8c_ard_3-2-1_098069_2023-03-22_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_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
2023-04-02 11:23:27	ga_ls8c_ard_3-2-1_111068_2023-04-02_final
2023-04-06 10:58:39	ga_ls8c_ard_3-2-1_107068_2023-04-06_final
2023-04-06 10:59:03	ga_ls8c_ard_3-2-1_107069_2023-04-06_final
2023-04-07 10:03:00	ga_ls8c_ard_3-2-1_098068_2023-04-07_final
2023-04-07 10:03:24	ga_ls8c_ard_3-2-1_098069_2023-04-07_final
2023-04-08 10:46:15	ga_ls8c_ard_3-2-1_105068_2023-04-08_final
2023-04-10 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-04-10_final
2023-04-10 10:34:14	ga_ls8c_ard_3-2-1_103069_2023-04-10_final
2023-04-14 10:09:05	ga_ls8c_ard_3-2-1_099068_2023-04-14_final
2023-04-15 10:52:20	ga_ls8c_ard_3-2-1_106068_2023-04-15_final
2023-04-16 09:56:43	ga_ls8c_ard_3-2-1_097068_2023-04-16_final
2023-04-24 10:46:08	ga_ls8c_ard_3-2-1_105068_2023-04-24_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