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
2013-10-26 09:30:24	ga_ls8c_ard_3-0-0_092074_2013-10-26_final
2013-10-26 09:30:48	ga_ls8c_ard_3-0-0_092075_2013-10-26_final
2013-10-26 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-10-26_final
2013-10-26 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-10-26_final
2013-10-27 10:13:39	ga_ls8c_ard_3-0-0_099074_2013-10-27_final
2013-10-27 10:14:03	ga_ls8c_ard_3-0-0_099075_2013-10-27_final
2013-10-27 11:52:32	ga_ls8c_ard_3-0-0_115074_2013-10-27_final
2013-10-27 11:52:56	ga_ls8c_ard_3-0-0_115075_2013-10-27_final
2013-10-28 09:18:25	ga_ls8c_ard_3-0-0_090075_2013-10-27_final
2013-10-28 10:56:54	ga_ls8c_ard_3-0-0_106074_2013-10-28_final
2013-10-28 10:57:18	ga_ls8c_ard_3-0-0_106075_2013-10-28_final
2013-10-29 10:01:16	ga_ls8c_ard_3-0-0_097074_2013-10-29_final
2013-10-29 10:01:40	ga_ls8c_ard_3-0-0_097075_2013-10-29_final
2013-10-29 11:40:09	ga_ls8c_ard_3-0-0_113074_2013-10-29_final
2013-10-29 11:40:33	ga_ls8c_ard_3-0-0_113075_2013-10-29_final
2013-10-30 10:44:32	ga_ls8c_ard_3-0-0_104074_2013-10-30_final
2013-10-30 10:44:56	ga_ls8c_ard_3-0-0_104075_2013-10-30_final
2013-11-30 10:01:11	ga_ls8c_ard_3-0-0_097074_2013-11-30_final
2013-11-30 10:01:35	ga_ls8c_ard_3-0-0_097075_2013-11-30_final
2013-11-30 11:40:04	ga_ls8c_ard_3-0-0_113074_2013-11-30_final
2013-11-30 11:40:28	ga_ls8c_ard_3-0-0_113075_2013-11-30_final
2013-12-01 10:44:27	ga_ls8c_ard_3-0-0_104074_2013-12-01_final
2013-12-01 10:44:51	ga_ls8c_ard_3-0-0_104075_2013-12-01_final
2013-12-02 09:48:49	ga_ls8c_ard_3-0-0_095074_2013-12-02_final
2013-12-02 09:49:13	ga_ls8c_ard_3-0-0_095075_2013-12-02_final
2013-12-02 11:27:43	ga_ls8c_ard_3-0-0_111074_2013-12-02_final
2013-12-02 11:28:06	ga_ls8c_ard_3-0-0_111075_2013-12-02_final
2013-12-03 10:32:05	ga_ls8c_ard_3-0-0_102074_2013-12-03_final
2013-12-03 10:32:29	ga_ls8c_ard_3-0-0_102075_2013-12-03_final
2013-12-04 09:36:28	ga_ls8c_ard_3-0-0_093074_2013-12-04_final
2013-12-04 09:36:52	ga_ls8c_ard_3-0-0_093075_2013-12-04_final
2019-11-28 09:28:59	ga_ls8c_ard_3-1-0_092074_2019-11-27_final
2019-11-28 09:29:23	ga_ls8c_ard_3-1-0_092075_2019-11-27_final
2019-11-28 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-11-28_final
2019-11-28 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-11-28_final
2019-11-29 10:12:14	ga_ls8c_ard_3-1-0_099074_2019-11-29_final
2019-11-29 10:12:38	ga_ls8c_ard_3-1-0_099075_2019-11-29_final
2019-11-29 11:51:08	ga_ls8c_ard_3-1-0_115074_2019-11-29_final
2019-11-29 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-11-29_final
2019-11-30 09:16:37	ga_ls8c_ard_3-1-0_090074_2019-11-29_final
2019-11-30 09:17:01	ga_ls8c_ard_3-1-0_090075_2019-11-29_final
2019-11-30 10:55:30	ga_ls8c_ard_3-1-0_106074_2019-11-30_final
2019-11-30 10:55:54	ga_ls8c_ard_3-1-0_106075_2019-11-30_final
2019-12-01 09:59:53	ga_ls8c_ard_3-1-0_097074_2019-12-01_final
2019-12-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2019-12-01_final
2019-12-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2019-12-01_final
2019-12-01 11:39:10	ga_ls8c_ard_3-1-0_113075_2019-12-01_final
2019-12-02 10:43:08	ga_ls8c_ard_3-1-0_104074_2019-12-02_final
2019-12-02 10:43:32	ga_ls8c_ard_3-1-0_104075_2019-12-02_final
2020-01-09 10:05:56	ga_ls8c_ard_3-1-0_098074_2020-01-09_final
2020-01-09 10:06:20	ga_ls8c_ard_3-1-0_098075_2020-01-09_final
2020-01-09 11:44:49	ga_ls8c_ard_3-1-0_114074_2020-01-09_final
2020-01-09 11:45:13	ga_ls8c_ard_3-1-0_114075_2020-01-09_final
2020-01-10 09:10:19	ga_ls8c_ard_3-1-0_089074_2020-01-09_final
2020-01-10 09:10:43	ga_ls8c_ard_3-1-0_089075_2020-01-09_final
2020-01-10 10:49:12	ga_ls8c_ard_3-1-0_105074_2020-01-10_final
2020-01-10 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-01-10_final
2020-01-25 10:05:52	ga_ls8c_ard_3-1-0_098074_2020-01-25_final
2020-01-25 10:06:16	ga_ls8c_ard_3-1-0_098075_2020-01-25_final
2020-01-25 11:44:45	ga_ls8c_ard_3-1-0_114074_2020-01-25_final
2020-01-25 11:45:09	ga_ls8c_ard_3-1-0_114075_2020-01-25_final
2020-01-26 09:10:15	ga_ls8c_ard_3-1-0_089074_2020-01-25_final
2020-01-26 09:10:39	ga_ls8c_ard_3-1-0_089075_2020-01-25_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-01-26 10:49:32	ga_ls8c_ard_3-1-0_105075_2020-01-26_final
2021-02-03 11:50:56	ga_ls8c_ard_3-2-0_115074_2021-02-03_final
2021-02-03 11:51:20	ga_ls8c_ard_3-2-0_115075_2021-02-03_final
2021-02-04 09:16:25	ga_ls8c_ard_3-2-0_090074_2021-02-03_final
2021-02-04 09:16:49	ga_ls8c_ard_3-2-0_090075_2021-02-03_final
2021-02-04 10:55:18	ga_ls8c_ard_3-2-0_106074_2021-02-04_final
2021-02-04 10:55:42	ga_ls8c_ard_3-2-0_106075_2021-02-04_final
2021-02-05 09:59:41	ga_ls8c_ard_3-2-0_097074_2021-02-05_final
2021-02-05 10:00:05	ga_ls8c_ard_3-2-0_097075_2021-02-05_final
2021-02-23 09:47:14	ga_ls8c_ard_3-2-0_095074_2021-02-23_final
2021-02-23 09:47:38	ga_ls8c_ard_3-2-0_095075_2021-02-23_final
2021-02-23 11:26:07	ga_ls8c_ard_3-2-0_111074_2021-02-23_final
2021-02-23 11:26:31	ga_ls8c_ard_3-2-0_111075_2021-02-23_final
2021-02-24 10:30:29	ga_ls8c_ard_3-2-0_102074_2021-02-24_final
2021-02-24 10:30:53	ga_ls8c_ard_3-2-0_102075_2021-02-24_final
2021-02-25 09:34:51	ga_ls8c_ard_3-2-0_093074_2021-02-25_final
2021-02-25 09:35:15	ga_ls8c_ard_3-2-0_093075_2021-02-25_final
2021-02-25 11:13:44	ga_ls8c_ard_3-2-0_109074_2021-02-25_final
2021-02-25 11:14:08	ga_ls8c_ard_3-2-0_109075_2021-02-25_final
2021-02-26 10:18:07	ga_ls8c_ard_3-2-0_100074_2021-02-26_final
2021-02-26 10:18:31	ga_ls8c_ard_3-2-0_100075_2021-02-26_final
2021-02-26 11:57:00	ga_ls8c_ard_3-2-0_116074_2021-02-26_final
2021-02-26 11:57:24	ga_ls8c_ard_3-2-0_116075_2021-02-26_final
2021-02-27 09:22:29	ga_ls8c_ard_3-2-0_091074_2021-02-26_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-02-27 11:01:22	ga_ls8c_ard_3-2-0_107074_2021-02-27_final
2021-02-27 11:01:46	ga_ls8c_ard_3-2-0_107075_2021-02-27_final
2021-03-10 10:42:44	ga_ls8c_ard_3-2-0_104074_2021-03-10_final
2021-03-10 10:43:08	ga_ls8c_ard_3-2-0_104075_2021-03-10_final
2021-03-11 09:47:06	ga_ls8c_ard_3-2-0_095074_2021-03-11_final
2021-03-11 09:47:30	ga_ls8c_ard_3-2-0_095075_2021-03-11_final
2021-03-11 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-03-11_final
2021-03-11 11:26:23	ga_ls8c_ard_3-2-0_111075_2021-03-11_final
2021-03-12 10:30:21	ga_ls8c_ard_3-2-0_102074_2021-03-12_final
2021-03-12 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-03-12_final
2021-03-13 09:34:43	ga_ls8c_ard_3-2-0_093074_2021-03-13_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