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
2014-10-07 10:05:32	ga_ls8c_ard_3-0-0_098073_2014-10-07_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-08 10:49:12	ga_ls8c_ard_3-0-0_105074_2014-10-08_final
2014-10-09 09:53:35	ga_ls8c_ard_3-0-0_096074_2014-10-09_final
2014-10-09 11:32:04	ga_ls8c_ard_3-0-0_112073_2014-10-09_final
2014-10-09 11:32:28	ga_ls8c_ard_3-0-0_112074_2014-10-09_final
2014-10-10 10:36:27	ga_ls8c_ard_3-0-0_103073_2014-10-10_final
2014-10-10 10:36:50	ga_ls8c_ard_3-0-0_103074_2014-10-10_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 11:20:07	ga_ls8c_ard_3-0-0_110074_2014-10-11_final
2014-10-12 10:24:06	ga_ls8c_ard_3-0-0_101073_2014-10-12_final
2014-10-12 10:24:30	ga_ls8c_ard_3-0-0_101074_2014-10-12_final
2014-12-13 10:36:43	ga_ls8c_ard_3-0-0_103074_2014-12-13_final
2014-12-14 09:41:07	ga_ls8c_ard_3-0-0_094074_2014-12-14_final
2014-12-14 11:20:00	ga_ls8c_ard_3-0-0_110074_2014-12-14_final
2014-12-15 10:24:23	ga_ls8c_ard_3-0-0_101074_2014-12-15_final
2014-12-16 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-12-15_final
2014-12-16 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-12-16_final
2014-12-17 10:12:02	ga_ls8c_ard_3-0-0_099074_2014-12-17_final
2014-12-17 11:50:55	ga_ls8c_ard_3-0-0_115074_2014-12-17_final
2014-12-18 10:55:18	ga_ls8c_ard_3-0-0_106074_2014-12-18_final
2015-02-27 09:22:16	ga_ls8c_ard_3-0-0_091074_2015-02-26_final
2015-02-27 11:01:09	ga_ls8c_ard_3-0-0_107074_2015-02-27_final
2015-06-17 09:33:44	ga_ls8c_ard_3-0-0_093073_2015-06-17_final
2015-06-17 09:34:08	ga_ls8c_ard_3-0-0_093074_2015-06-17_final
2015-06-17 11:12:37	ga_ls8c_ard_3-0-0_109073_2015-06-17_final
2015-06-17 11:13:01	ga_ls8c_ard_3-0-0_109074_2015-06-17_final
2015-06-18 10:17:00	ga_ls8c_ard_3-0-0_100073_2015-06-18_final
2015-06-18 10:17:24	ga_ls8c_ard_3-0-0_100074_2015-06-18_final
2015-06-18 11:56:17	ga_ls8c_ard_3-0-0_116074_2015-06-18_final
2015-06-19 09:21:23	ga_ls8c_ard_3-0-0_091073_2015-06-18_final
2015-06-19 09:21:47	ga_ls8c_ard_3-0-0_091074_2015-06-18_final
2015-06-19 11:00:16	ga_ls8c_ard_3-0-0_107073_2015-06-19_final
2015-06-19 11:00:40	ga_ls8c_ard_3-0-0_107074_2015-06-19_final
2020-06-20 10:35:56	ga_ls8c_ard_3-1-0_103073_2020-06-20_final
2020-06-20 10:36:20	ga_ls8c_ard_3-1-0_103074_2020-06-20_final
2020-06-21 09:40:43	ga_ls8c_ard_3-1-0_094074_2020-06-21_final
2020-06-21 11:19:12	ga_ls8c_ard_3-1-0_110073_2020-06-21_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-06-22 10:23:35	ga_ls8c_ard_3-1-0_101073_2020-06-22_final
2020-06-22 10:23:59	ga_ls8c_ard_3-1-0_101074_2020-06-22_final
2020-08-17 09:34:28	ga_ls8c_ard_3-1-0_093073_2020-08-17_final
2020-08-17 09:34:52	ga_ls8c_ard_3-1-0_093074_2020-08-17_final
2021-01-02 11:51:05	ga_ls8c_ard_3-2-0_115074_2021-01-02_final
2021-01-03 09:16:34	ga_ls8c_ard_3-2-0_090074_2021-01-02_final
2021-01-03 10:55:27	ga_ls8c_ard_3-2-0_106074_2021-01-03_final
2021-01-04 09:59:49	ga_ls8c_ard_3-2-0_097074_2021-01-04_final
2021-01-08 09:34:40	ga_ls8c_ard_3-2-0_093073_2021-01-08_final
2021-01-08 09:35:04	ga_ls8c_ard_3-2-0_093074_2021-01-08_final
2021-01-08 11:13:57	ga_ls8c_ard_3-2-0_109074_2021-01-08_final
2021-01-09 10:18:20	ga_ls8c_ard_3-2-0_100074_2021-01-09_final
2021-01-14 10:36:26	ga_ls8c_ard_3-2-0_103073_2021-01-14_final
2021-01-14 10:36:50	ga_ls8c_ard_3-2-0_103074_2021-01-14_final
2021-01-15 09:40:48	ga_ls8c_ard_3-2-0_094073_2021-01-15_final
2021-01-15 09:41:12	ga_ls8c_ard_3-2-0_094074_2021-01-15_final
2021-01-15 11:20:05	ga_ls8c_ard_3-2-0_110074_2021-01-15_final
2021-02-17 10:24:21	ga_ls8c_ard_3-2-0_101074_2021-02-17_final
2021-02-18 09:28:43	ga_ls8c_ard_3-2-0_092074_2021-02-17_final
2021-03-03 10:36:37	ga_ls8c_ard_3-2-0_103074_2021-03-03_final
2021-03-04 09:40:59	ga_ls8c_ard_3-2-0_094074_2021-03-04_final
2021-03-04 11:19:52	ga_ls8c_ard_3-2-0_110074_2021-03-04_final
2022-01-24 10:42:35	ga_ls8c_ard_3-2-1_104073_2022-01-24_final
2022-01-24 10:42:59	ga_ls8c_ard_3-2-1_104074_2022-01-24_final
2022-01-25 09:46:58	ga_ls8c_ard_3-2-1_095073_2022-01-25_final
2022-01-25 09:47:22	ga_ls8c_ard_3-2-1_095074_2022-01-25_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-01-25 11:26:15	ga_ls8c_ard_3-2-1_111074_2022-01-25_final
2022-05-05 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-05-04_final
2022-05-05 09:22:19	ga_ls8c_ard_3-2-1_091074_2022-05-04_final
2022-05-05 11:00:48	ga_ls8c_ard_3-2-1_107073_2022-05-05_final
2022-05-05 11:01:12	ga_ls8c_ard_3-2-1_107074_2022-05-05_final
2022-05-06 10:05:12	ga_ls8c_ard_3-2-1_098073_2022-05-06_final
2022-05-06 10:05:35	ga_ls8c_ard_3-2-1_098074_2022-05-06_final
2022-05-06 11:44:29	ga_ls8c_ard_3-2-1_114074_2022-05-06_final
2022-05-07 09:09:59	ga_ls8c_ard_3-2-1_089074_2022-05-06_final
2022-05-07 10:48:28	ga_ls8c_ard_3-2-1_105073_2022-05-07_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-05-24 11:31:48	ga_ls8c_ard_3-2-1_112073_2022-05-24_final
2022-05-24 11:32:12	ga_ls8c_ard_3-2-1_112074_2022-05-24_final
2022-05-25 10:36:11	ga_ls8c_ard_3-2-1_103073_2022-05-25_final
2022-05-25 10:36:35	ga_ls8c_ard_3-2-1_103074_2022-05-25_final
2022-05-26 09:40:33	ga_ls8c_ard_3-2-1_094073_2022-05-26_final
2022-05-26 09:40:57	ga_ls8c_ard_3-2-1_094074_2022-05-26_final
2022-05-26 11:19:50	ga_ls8c_ard_3-2-1_110074_2022-05-26_final
2022-05-27 10:23:48	ga_ls8c_ard_3-2-1_101073_2022-05-27_final
2022-05-27 10:24:12	ga_ls8c_ard_3-2-1_101074_2022-05-27_final
2022-05-28 09:28:11	ga_ls8c_ard_3-2-1_092073_2022-05-27_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-05-28 11:07:04	ga_ls8c_ard_3-2-1_108073_2022-05-28_final
2022-05-28 11:07:28	ga_ls8c_ard_3-2-1_108074_2022-05-28_final
2022-05-29 10:11:28	ga_ls8c_ard_3-2-1_099073_2022-05-29_final
2022-05-29 10:11:52	ga_ls8c_ard_3-2-1_099074_2022-05-29_final
2022-05-29 11:50:45	ga_ls8c_ard_3-2-1_115074_2022-05-29_final
2022-05-30 09:16:16	ga_ls8c_ard_3-2-1_090074_2022-05-29_final
2022-05-30 10:54:45	ga_ls8c_ard_3-2-1_106073_2022-05-30_final
2022-05-30 10:55:09	ga_ls8c_ard_3-2-1_106074_2022-05-30_final
2022-05-31 09:59:08	ga_ls8c_ard_3-2-1_097073_2022-05-31_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