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 10:06:20	ga_ls8c_ard_3-0-0_098075_2014-10-07_final
2014-10-07 10:06:44	ga_ls8c_ard_3-0-0_098076_2014-10-07_final
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-08 09:10:43	ga_ls8c_ard_3-0-0_089075_2014-10-07_final
2014-10-08 09:11:07	ga_ls8c_ard_3-0-0_089076_2014-10-07_final
2014-10-08 10:49:36	ga_ls8c_ard_3-0-0_105075_2014-10-08_final
2014-10-08 10:50:00	ga_ls8c_ard_3-0-0_105076_2014-10-08_final
2014-10-09 09:54:23	ga_ls8c_ard_3-0-0_096076_2014-10-09_final
2014-10-09 11:33:16	ga_ls8c_ard_3-0-0_112076_2014-10-09_final
2014-10-10 10:37:38	ga_ls8c_ard_3-0-0_103076_2014-10-10_final
2014-10-11 09:41:38	ga_ls8c_ard_3-0-0_094075_2014-10-11_final
2014-10-11 09:42:01	ga_ls8c_ard_3-0-0_094076_2014-10-11_final
2014-10-11 11:20:31	ga_ls8c_ard_3-0-0_110075_2014-10-11_final
2014-10-11 11:20:55	ga_ls8c_ard_3-0-0_110076_2014-10-11_final
2014-10-12 10:25:18	ga_ls8c_ard_3-0-0_101076_2014-10-12_final
2014-12-13 10:37:31	ga_ls8c_ard_3-0-0_103076_2014-12-13_final
2014-12-14 09:41:55	ga_ls8c_ard_3-0-0_094076_2014-12-14_final
2014-12-14 11:20:48	ga_ls8c_ard_3-0-0_110076_2014-12-14_final
2014-12-15 10:25:11	ga_ls8c_ard_3-0-0_101076_2014-12-15_final
2014-12-16 09:29:10	ga_ls8c_ard_3-0-0_092075_2014-12-15_final
2014-12-16 09:29:34	ga_ls8c_ard_3-0-0_092076_2014-12-15_final
2014-12-16 11:08:27	ga_ls8c_ard_3-0-0_108076_2014-12-16_final
2014-12-17 10:12:26	ga_ls8c_ard_3-0-0_099075_2014-12-17_final
2014-12-17 10:12:50	ga_ls8c_ard_3-0-0_099076_2014-12-17_final
2014-12-17 11:51:19	ga_ls8c_ard_3-0-0_115075_2014-12-17_final
2014-12-17 11:51:43	ga_ls8c_ard_3-0-0_115076_2014-12-17_final
2014-12-18 09:16:49	ga_ls8c_ard_3-0-0_090075_2014-12-17_final
2014-12-18 09:17:13	ga_ls8c_ard_3-0-0_090076_2014-12-17_final
2014-12-18 10:56:06	ga_ls8c_ard_3-0-0_106076_2014-12-18_final
2015-02-26 11:57:35	ga_ls8c_ard_3-0-0_116076_2015-02-26_final
2015-02-27 09:23:04	ga_ls8c_ard_3-0-0_091076_2015-02-26_final
2015-02-27 11:01:57	ga_ls8c_ard_3-0-0_107076_2015-02-27_final
2015-06-17 09:34:32	ga_ls8c_ard_3-0-0_093075_2015-06-17_final
2015-06-17 09:34:56	ga_ls8c_ard_3-0-0_093076_2015-06-17_final
2015-06-17 11:13:25	ga_ls8c_ard_3-0-0_109075_2015-06-17_final
2015-06-17 11:13:49	ga_ls8c_ard_3-0-0_109076_2015-06-17_final
2015-06-18 10:17:48	ga_ls8c_ard_3-0-0_100075_2015-06-18_final
2015-06-18 10:18:12	ga_ls8c_ard_3-0-0_100076_2015-06-18_final
2015-06-18 11:56:41	ga_ls8c_ard_3-0-0_116075_2015-06-18_final
2015-06-18 11:57:05	ga_ls8c_ard_3-0-0_116076_2015-06-18_final
2015-06-19 09:22:11	ga_ls8c_ard_3-0-0_091075_2015-06-18_final
2015-06-19 09:22:35	ga_ls8c_ard_3-0-0_091076_2015-06-18_final
2015-06-19 11:01:04	ga_ls8c_ard_3-0-0_107075_2015-06-19_final
2015-06-19 11:01:28	ga_ls8c_ard_3-0-0_107076_2015-06-19_final
2020-06-21 09:41:07	ga_ls8c_ard_3-1-0_094075_2020-06-21_final
2020-06-21 09:41:31	ga_ls8c_ard_3-1-0_094076_2020-06-21_final
2020-06-22 10:24:23	ga_ls8c_ard_3-1-0_101075_2020-06-22_final
2020-06-22 10:24:47	ga_ls8c_ard_3-1-0_101076_2020-06-22_final
2021-01-02 11:51:53	ga_ls8c_ard_3-2-0_115076_2021-01-02_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-03 09:17:22	ga_ls8c_ard_3-2-0_090076_2021-01-02_final
2021-01-03 10:56:15	ga_ls8c_ard_3-2-0_106076_2021-01-03_final
2021-01-04 10:00:37	ga_ls8c_ard_3-2-0_097076_2021-01-04_final
2021-01-08 09:35:52	ga_ls8c_ard_3-2-0_093076_2021-01-08_final
2021-01-08 11:14:45	ga_ls8c_ard_3-2-0_109076_2021-01-08_final
2021-01-09 10:18:44	ga_ls8c_ard_3-2-0_100075_2021-01-09_final
2021-01-09 10:19:07	ga_ls8c_ard_3-2-0_100076_2021-01-09_final
2021-01-14 10:37:37	ga_ls8c_ard_3-2-0_103076_2021-01-14_final
2021-01-15 09:42:00	ga_ls8c_ard_3-2-0_094076_2021-01-15_final
2021-01-15 11:20:53	ga_ls8c_ard_3-2-0_110076_2021-01-15_final
2021-02-17 10:25:09	ga_ls8c_ard_3-2-0_101076_2021-02-17_final
2021-02-18 09:29:31	ga_ls8c_ard_3-2-0_092076_2021-02-17_final
2021-03-03 10:37:25	ga_ls8c_ard_3-2-0_103076_2021-03-03_final
2021-03-04 09:41:47	ga_ls8c_ard_3-2-0_094076_2021-03-04_final
2021-03-04 11:20:40	ga_ls8c_ard_3-2-0_110076_2021-03-04_final
2022-01-24 10:43:23	ga_ls8c_ard_3-2-1_104075_2022-01-24_final
2022-01-24 10:43:47	ga_ls8c_ard_3-2-1_104076_2022-01-24_final
2022-01-25 09:48:09	ga_ls8c_ard_3-2-1_095076_2022-01-25_final
2022-01-25 11:27:02	ga_ls8c_ard_3-2-1_111076_2022-01-25_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-05 09:23:07	ga_ls8c_ard_3-2-1_091076_2022-05-04_final
2022-05-05 11:02:00	ga_ls8c_ard_3-2-1_107076_2022-05-05_final
2022-05-06 10:05:59	ga_ls8c_ard_3-2-1_098075_2022-05-06_final
2022-05-06 10:06:23	ga_ls8c_ard_3-2-1_098076_2022-05-06_final
2022-05-06 11:45:16	ga_ls8c_ard_3-2-1_114076_2022-05-06_final
2022-05-07 09:10:23	ga_ls8c_ard_3-2-1_089075_2022-05-06_final
2022-05-07 09:10:47	ga_ls8c_ard_3-2-1_089076_2022-05-06_final
2022-05-07 10:49:16	ga_ls8c_ard_3-2-1_105075_2022-05-07_final
2022-05-07 10:49:40	ga_ls8c_ard_3-2-1_105076_2022-05-07_final
2022-05-24 11:33:00	ga_ls8c_ard_3-2-1_112076_2022-05-24_final
2022-05-25 10:36:59	ga_ls8c_ard_3-2-1_103075_2022-05-25_final
2022-05-25 10:37:22	ga_ls8c_ard_3-2-1_103076_2022-05-25_final
2022-05-26 09:41:21	ga_ls8c_ard_3-2-1_094075_2022-05-26_final
2022-05-26 09:41:45	ga_ls8c_ard_3-2-1_094076_2022-05-26_final
2022-05-26 11:20:14	ga_ls8c_ard_3-2-1_110075_2022-05-26_final
2022-05-26 11:20:38	ga_ls8c_ard_3-2-1_110076_2022-05-26_final
2022-05-27 10:24:36	ga_ls8c_ard_3-2-1_101075_2022-05-27_final
2022-05-27 10:25:00	ga_ls8c_ard_3-2-1_101076_2022-05-27_final
2022-05-28 09:28:59	ga_ls8c_ard_3-2-1_092075_2022-05-27_final
2022-05-28 09:29:23	ga_ls8c_ard_3-2-1_092076_2022-05-27_final
2022-05-28 11:07:52	ga_ls8c_ard_3-2-1_108075_2022-05-28_final
2022-05-28 11:08:16	ga_ls8c_ard_3-2-1_108076_2022-05-28_final
2022-05-29 10:12:16	ga_ls8c_ard_3-2-1_099075_2022-05-29_final
2022-05-29 10:12:40	ga_ls8c_ard_3-2-1_099076_2022-05-29_final
2022-05-29 11:51:09	ga_ls8c_ard_3-2-1_115075_2022-05-29_final
2022-05-29 11:51:33	ga_ls8c_ard_3-2-1_115076_2022-05-29_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-05-30 09:17:03	ga_ls8c_ard_3-2-1_090076_2022-05-29_final
2022-05-30 10:55:56	ga_ls8c_ard_3-2-1_106076_2022-05-30_final
2022-05-31 09:59:56	ga_ls8c_ard_3-2-1_097075_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