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
2015-04-21 11:17:40	ga_ls8c_ard_3-0-0_110070_2015-04-21_final
2015-04-22 10:22:03	ga_ls8c_ard_3-0-0_101070_2015-04-22_final
2015-04-23 11:05:18	ga_ls8c_ard_3-0-0_108070_2015-04-23_final
2015-04-24 10:09:40	ga_ls8c_ard_3-0-0_099070_2015-04-24_final
2015-04-28 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-04-28_final
2015-04-28 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-04-28_final
2015-04-29 10:28:08	ga_ls8c_ard_3-0-0_102070_2015-04-29_final
2015-04-30 11:11:23	ga_ls8c_ard_3-0-0_109070_2015-04-30_final
2015-05-01 10:15:44	ga_ls8c_ard_3-0-0_100070_2015-05-01_final
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-06-15 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-06-15_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-16 10:28:09	ga_ls8c_ard_3-0-0_102070_2015-06-16_final
2015-06-17 11:11:26	ga_ls8c_ard_3-0-0_109070_2015-06-17_final
2015-06-17 11:11:49	ga_ls8c_ard_3-0-0_109071_2015-06-17_final
2015-06-18 10:15:49	ga_ls8c_ard_3-0-0_100070_2015-06-18_final
2015-07-01 09:44:59	ga_ls8c_ard_3-0-0_095070_2015-07-01_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2015-07-01 11:24:17	ga_ls8c_ard_3-0-0_111071_2015-07-01_final
2015-07-02 10:28:16	ga_ls8c_ard_3-0-0_102070_2015-07-02_final
2015-07-02 10:28:40	ga_ls8c_ard_3-0-0_102071_2015-07-02_final
2015-07-03 09:33:04	ga_ls8c_ard_3-0-0_093071_2015-07-03_final
2015-07-03 11:11:33	ga_ls8c_ard_3-0-0_109070_2015-07-03_final
2015-07-04 10:15:56	ga_ls8c_ard_3-0-0_100070_2015-07-04_final
2015-07-04 10:16:20	ga_ls8c_ard_3-0-0_100071_2015-07-04_final
2015-08-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2015-08-18_final
2015-08-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2015-08-18_final
2015-08-19 10:28:36	ga_ls8c_ard_3-0-0_102070_2015-08-19_final
2015-08-20 11:11:53	ga_ls8c_ard_3-0-0_109070_2015-08-20_final
2015-08-21 10:16:16	ga_ls8c_ard_3-0-0_100070_2015-08-21_final
2016-12-19 11:18:33	ga_ls8c_ard_3-0-0_110070_2016-12-19_final
2016-12-20 10:22:56	ga_ls8c_ard_3-0-0_101070_2016-12-20_final
2017-02-12 09:45:33	ga_ls8c_ard_3-0-0_095070_2017-02-12_final
2017-02-12 11:24:26	ga_ls8c_ard_3-0-0_111070_2017-02-12_final
2017-02-13 10:28:49	ga_ls8c_ard_3-0-0_102070_2017-02-13_final
2017-02-14 11:12:04	ga_ls8c_ard_3-0-0_109070_2017-02-14_final
2017-02-15 10:16:27	ga_ls8c_ard_3-0-0_100070_2017-02-15_final
2017-02-28 09:45:28	ga_ls8c_ard_3-0-0_095070_2017-02-28_final
2017-02-28 11:24:21	ga_ls8c_ard_3-0-0_111070_2017-02-28_final
2017-03-01 10:28:43	ga_ls8c_ard_3-0-0_102070_2017-03-01_final
2017-03-02 11:11:59	ga_ls8c_ard_3-0-0_109070_2017-03-02_final
2017-03-03 10:16:21	ga_ls8c_ard_3-0-0_100070_2017-03-03_final
2017-03-07 09:51:35	ga_ls8c_ard_3-0-0_096070_2017-03-07_final
2017-03-07 11:30:28	ga_ls8c_ard_3-0-0_112070_2017-03-07_final
2017-03-08 10:34:51	ga_ls8c_ard_3-0-0_103070_2017-03-08_final
2017-03-09 11:18:06	ga_ls8c_ard_3-0-0_110070_2017-03-09_final
2017-03-10 10:22:28	ga_ls8c_ard_3-0-0_101070_2017-03-10_final
2017-04-01 09:45:11	ga_ls8c_ard_3-0-0_095070_2017-04-01_final
2017-04-01 11:24:04	ga_ls8c_ard_3-0-0_111070_2017-04-01_final
2017-04-02 10:28:26	ga_ls8c_ard_3-0-0_102070_2017-04-02_final
2017-04-15 09:57:25	ga_ls8c_ard_3-0-0_097070_2017-04-15_final
2017-04-16 10:40:40	ga_ls8c_ard_3-0-0_104070_2017-04-16_final
2017-04-17 09:45:03	ga_ls8c_ard_3-0-0_095070_2017-04-17_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-04-18 10:28:18	ga_ls8c_ard_3-0-0_102070_2017-04-18_final
2017-04-19 11:11:33	ga_ls8c_ard_3-0-0_109070_2017-04-19_final
2017-04-20 10:15:55	ga_ls8c_ard_3-1-0_100070_2017-04-20_final
2017-05-23 10:59:17	ga_ls8c_ard_3-0-0_107070_2017-05-23_final
2017-06-08 10:59:26	ga_ls8c_ard_3-0-0_107070_2017-06-08_final
2017-06-08 10:59:49	ga_ls8c_ard_3-0-0_107071_2017-06-08_final
2017-06-24 10:59:31	ga_ls8c_ard_3-0-0_107070_2017-06-24_final
2017-07-01 09:27:14	ga_ls8c_ard_3-0-0_092071_2017-06-30_final
2017-07-01 11:05:44	ga_ls8c_ard_3-0-0_108070_2017-07-01_final
2017-07-02 10:10:06	ga_ls8c_ard_3-0-0_099070_2017-07-02_final
2017-07-06 09:45:24	ga_ls8c_ard_3-0-0_095070_2017-07-06_final
2017-07-06 11:24:17	ga_ls8c_ard_3-0-0_111070_2017-07-06_final
2017-07-07 10:28:40	ga_ls8c_ard_3-0-0_102070_2017-07-07_final
2018-09-16 10:03:46	ga_ls8c_ard_3-0-0_098070_2018-09-16_final
2018-09-17 10:47:02	ga_ls8c_ard_3-0-0_105070_2018-09-17_final
2018-09-29 11:11:51	ga_ls8c_ard_3-0-0_109070_2018-09-29_final
2018-09-30 10:16:14	ga_ls8c_ard_3-0-0_100070_2018-09-30_final
2018-10-29 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-10-29_final
2018-10-29 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-10-29_final
2018-10-30 10:28:46	ga_ls8c_ard_3-0-0_102070_2018-10-30_final
2018-10-31 09:33:33	ga_ls8c_ard_3-0-0_093071_2018-10-31_final
2018-10-31 11:12:02	ga_ls8c_ard_3-0-0_109070_2018-10-31_final
2018-11-01 10:16:25	ga_ls8c_ard_3-1-0_100070_2018-11-01_final
2018-12-16 09:45:28	ga_ls8c_ard_3-0-0_095070_2018-12-16_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2018-12-17 10:28:44	ga_ls8c_ard_3-0-0_102070_2018-12-17_final
2018-12-18 11:12:00	ga_ls8c_ard_3-0-0_109070_2018-12-18_final
2018-12-19 10:16:23	ga_ls8c_ard_3-1-0_100070_2018-12-19_final
2018-12-23 09:51:40	ga_ls8c_ard_3-0-0_096070_2018-12-23_final
2018-12-23 11:30:33	ga_ls8c_ard_3-0-0_112070_2018-12-23_final
2018-12-24 10:34:55	ga_ls8c_ard_3-0-0_103070_2018-12-24_final
2018-12-25 11:18:11	ga_ls8c_ard_3-0-0_110070_2018-12-25_final
2018-12-26 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-12-26_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-07 10:47:16	ga_ls8c_ard_3-0-0_105070_2019-01-07_final
2023-08-24 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-08-24_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-08-25 10:28:52	ga_ls8c_ard_3-2-1_102070_2023-08-25_final
2023-08-28 10:59:46	ga_ls8c_ard_3-2-1_107070_2023-08-28_final
2023-08-28 11:00:10	ga_ls8c_ard_3-2-1_107071_2023-08-28_final
2023-08-31 09:51:47	ga_ls8c_ard_3-2-1_096070_2023-08-31_final
2023-09-01 10:35:02	ga_ls8c_ard_3-2-1_103070_2023-09-01_final
2023-09-01 10:35:26	ga_ls8c_ard_3-2-1_103071_2023-09-01_final
2024-04-30 10:22:03	ga_ls8c_ard_3-2-1_101070_2024-04-30_final
2024-05-01 11:05:18	ga_ls8c_ard_3-2-1_108070_2024-05-01_final
2024-05-02 10:09:39	ga_ls8c_ard_3-2-1_099070_2024-05-02_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