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
2014-08-21 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-08-21_final
2014-08-22 09:51:52	ga_ls8c_ard_3-0-0_096070_2014-08-22_final
2014-08-22 11:30:21	ga_ls8c_ard_3-0-0_112069_2014-08-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-08-23 10:34:44	ga_ls8c_ard_3-0-0_103069_2014-08-23_final
2014-08-23 10:35:08	ga_ls8c_ard_3-0-0_103070_2014-08-23_final
2014-08-24 11:18:23	ga_ls8c_ard_3-0-0_110070_2014-08-24_final
2014-08-25 10:22:46	ga_ls8c_ard_3-0-0_101070_2014-08-25_final
2014-09-22 10:47:30	ga_ls8c_ard_3-0-0_105070_2014-09-22_final
2014-09-23 09:51:53	ga_ls8c_ard_3-0-0_096070_2014-09-23_final
2014-09-23 11:30:46	ga_ls8c_ard_3-0-0_112070_2014-09-23_final
2014-09-24 10:34:44	ga_ls8c_ard_3-0-0_103069_2014-09-24_final
2014-09-24 10:35:08	ga_ls8c_ard_3-0-0_103070_2014-09-24_final
2014-09-25 11:18:23	ga_ls8c_ard_3-0-0_110070_2014-09-25_final
2014-09-26 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-09-26_final
2014-11-09 10:47:38	ga_ls8c_ard_3-0-0_105070_2014-11-09_final
2014-11-10 09:52:01	ga_ls8c_ard_3-0-0_096070_2014-11-10_final
2014-11-10 11:30:54	ga_ls8c_ard_3-0-0_112070_2014-11-10_final
2014-11-11 10:35:17	ga_ls8c_ard_3-0-0_103070_2014-11-11_final
2014-11-12 11:18:32	ga_ls8c_ard_3-0-0_110070_2014-11-12_final
2014-11-13 10:22:55	ga_ls8c_ard_3-0-0_101070_2014-11-13_final
2014-12-27 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-12-27_final
2014-12-28 09:51:51	ga_ls8c_ard_3-0-0_096070_2014-12-28_final
2014-12-28 11:30:44	ga_ls8c_ard_3-0-0_112070_2014-12-28_final
2014-12-29 10:35:06	ga_ls8c_ard_3-0-0_103070_2014-12-29_final
2014-12-30 11:18:21	ga_ls8c_ard_3-0-0_110070_2014-12-30_final
2014-12-31 10:22:43	ga_ls8c_ard_3-0-0_101070_2014-12-31_final
2017-07-07 10:28:40	ga_ls8c_ard_3-0-0_102070_2017-07-07_final
2017-07-08 11:11:32	ga_ls8c_ard_3-0-0_109069_2017-07-08_final
2017-07-08 11:11:56	ga_ls8c_ard_3-0-0_109070_2017-07-08_final
2017-07-09 10:15:54	ga_ls8c_ard_3-0-0_100069_2017-07-09_final
2017-07-09 10:16:18	ga_ls8c_ard_3-0-0_100070_2017-07-09_final
2017-07-14 10:34:51	ga_ls8c_ard_3-0-0_103070_2017-07-14_final
2017-07-15 11:18:08	ga_ls8c_ard_3-0-0_110070_2017-07-15_final
2017-07-16 10:22:07	ga_ls8c_ard_3-0-0_101069_2017-07-16_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-11 10:59:48	ga_ls8c_ard_3-0-0_107070_2017-08-11_final
2017-08-24 10:28:57	ga_ls8c_ard_3-0-0_102070_2017-08-24_final
2017-08-25 11:12:13	ga_ls8c_ard_3-0-0_109070_2017-08-25_final
2017-08-26 10:16:36	ga_ls8c_ard_3-0-0_100070_2017-08-26_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2017-08-27 10:59:52	ga_ls8c_ard_3-0-0_107070_2017-08-27_final
2021-04-27 10:40:49	ga_ls8c_ard_3-2-0_104070_2021-04-27_final
2021-04-28 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-04-28_final
2021-04-28 11:24:04	ga_ls8c_ard_3-2-0_111070_2021-04-28_final
2021-04-29 10:28:26	ga_ls8c_ard_3-2-0_102070_2021-04-29_final
2021-04-30 11:11:41	ga_ls8c_ard_3-2-0_109070_2021-04-30_final
2021-05-01 10:16:03	ga_ls8c_ard_3-2-0_100070_2021-05-01_final
2021-05-02 10:59:18	ga_ls8c_ard_3-2-0_107070_2021-05-02_final
2021-05-03 10:03:40	ga_ls8c_ard_3-2-0_098070_2021-05-03_final
2021-05-14 11:24:04	ga_ls8c_ard_3-2-0_111070_2021-05-14_final
2021-05-15 10:28:03	ga_ls8c_ard_3-2-0_102069_2021-05-15_final
2021-05-15 10:28:27	ga_ls8c_ard_3-2-0_102070_2021-05-15_final
2021-05-16 11:11:19	ga_ls8c_ard_3-2-0_109069_2021-05-16_final
2021-05-16 11:11:43	ga_ls8c_ard_3-2-0_109070_2021-05-16_final
2021-05-17 10:16:07	ga_ls8c_ard_3-2-0_100070_2021-05-17_final
2021-05-18 10:59:23	ga_ls8c_ard_3-2-0_107070_2021-05-18_final
2021-05-19 10:03:22	ga_ls8c_ard_3-2-0_098069_2021-05-19_final
2021-05-19 10:03:46	ga_ls8c_ard_3-2-0_098070_2021-05-19_final
2021-05-20 10:47:03	ga_ls8c_ard_3-2-0_105070_2021-05-20_final
2021-05-29 10:40:57	ga_ls8c_ard_3-2-0_104070_2021-05-29_final
2021-05-31 10:28:12	ga_ls8c_ard_3-2-0_102069_2021-05-31_final
2021-05-31 10:28:36	ga_ls8c_ard_3-2-0_102070_2021-05-31_final
2021-06-01 11:11:52	ga_ls8c_ard_3-2-0_109070_2021-06-01_final
2021-09-03 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-09-03_final
2021-09-04 10:29:07	ga_ls8c_ard_3-2-0_102070_2021-09-04_final
2021-09-05 11:12:23	ga_ls8c_ard_3-2-0_109070_2021-09-05_final
2021-09-06 10:16:46	ga_ls8c_ard_3-2-0_100070_2021-09-06_final
2021-09-07 10:59:38	ga_ls8c_ard_3-2-0_107069_2021-09-07_final
2021-09-07 11:00:01	ga_ls8c_ard_3-2-0_107070_2021-09-07_final
2021-09-08 10:04:24	ga_ls8c_ard_3-2-0_098070_2021-09-08_final
2021-09-09 10:47:40	ga_ls8c_ard_3-2-0_105070_2021-09-09_final
2021-09-10 09:52:03	ga_ls8c_ard_3-2-0_096070_2021-09-10_final
2021-09-10 11:30:56	ga_ls8c_ard_3-2-0_112070_2021-09-10_final
2021-09-11 10:35:19	ga_ls8c_ard_3-2-0_103070_2021-09-11_final
2021-09-12 11:18:35	ga_ls8c_ard_3-2-0_110070_2021-09-12_final
2021-09-13 10:22:58	ga_ls8c_ard_3-2-0_101070_2021-09-13_final
2021-09-14 11:06:14	ga_ls8c_ard_3-2-0_108070_2021-09-14_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2021-09-16 10:53:52	ga_ls8c_ard_3-2-0_106070_2021-09-16_final
2021-09-17 09:58:15	ga_ls8c_ard_3-2-0_097070_2021-09-17_final
2021-09-18 10:41:31	ga_ls8c_ard_3-2-0_104070_2021-09-18_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-09-19 11:24:23	ga_ls8c_ard_3-2-0_111069_2021-09-19_final
2021-09-19 11:24:47	ga_ls8c_ard_3-2-0_111070_2021-09-19_final
2021-09-20 10:29:10	ga_ls8c_ard_3-2-0_102070_2021-09-20_final
2021-09-23 10:59:40	ga_ls8c_ard_3-2-0_107069_2021-09-23_final
2021-09-23 11:00:04	ga_ls8c_ard_3-2-0_107070_2021-09-23_final
2021-09-27 10:35:23	ga_ls8c_ard_3-2-0_103070_2021-09-27_final
2021-09-28 11:18:15	ga_ls8c_ard_3-2-0_110069_2021-09-28_final
2021-09-28 11:18:39	ga_ls8c_ard_3-2-0_110070_2021-09-28_final
2021-09-29 10:22:38	ga_ls8c_ard_3-2-0_101069_2021-09-29_final
2021-09-29 10:23:02	ga_ls8c_ard_3-2-0_101070_2021-09-29_final
2021-10-12 09:52:12	ga_ls8c_ard_3-2-0_096070_2021-10-12_final
2021-10-12 11:30:41	ga_ls8c_ard_3-2-0_112069_2021-10-12_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-13 10:35:28	ga_ls8c_ard_3-2-0_103070_2021-10-13_final
2021-10-14 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-14_final
2021-10-14 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-14_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