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
2015-01-17 09:29:28	ga_ls8c_ard_3-0-0_092076_2015-01-16_final
2015-01-17 11:08:21	ga_ls8c_ard_3-0-0_108076_2015-01-17_final
2015-01-18 10:12:20	ga_ls8c_ard_3-0-0_099075_2015-01-18_final
2015-01-18 10:12:43	ga_ls8c_ard_3-0-0_099076_2015-01-18_final
2015-01-18 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-01-18_final
2015-01-18 11:51:36	ga_ls8c_ard_3-0-0_115076_2015-01-18_final
2015-01-19 09:16:42	ga_ls8c_ard_3-0-0_090075_2015-01-18_final
2015-01-19 09:17:06	ga_ls8c_ard_3-0-0_090076_2015-01-18_final
2015-01-19 10:55:59	ga_ls8c_ard_3-0-0_106076_2015-01-19_final
2015-02-19 10:12:32	ga_ls8c_ard_3-0-0_099076_2015-02-19_final
2015-02-19 11:51:01	ga_ls8c_ard_3-0-0_115075_2015-02-19_final
2015-02-19 11:51:25	ga_ls8c_ard_3-0-0_115076_2015-02-19_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-20 09:16:55	ga_ls8c_ard_3-0-0_090076_2015-02-19_final
2015-02-20 10:55:48	ga_ls8c_ard_3-0-0_106076_2015-02-20_final
2015-02-28 10:06:19	ga_ls8c_ard_3-0-0_098076_2015-02-28_final
2015-02-28 11:44:48	ga_ls8c_ard_3-0-0_114075_2015-02-28_final
2015-02-28 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-02-28_final
2015-03-01 09:10:41	ga_ls8c_ard_3-0-0_089076_2015-02-28_final
2015-03-01 10:49:34	ga_ls8c_ard_3-0-0_105076_2015-03-01_final
2019-07-11 10:43:09	ga_ls8c_ard_3-1-0_104075_2019-07-11_final
2019-07-11 10:43:33	ga_ls8c_ard_3-1-0_104076_2019-07-11_final
2019-07-12 09:47:32	ga_ls8c_ard_3-1-0_095075_2019-07-12_final
2019-07-12 09:47:56	ga_ls8c_ard_3-1-0_095076_2019-07-12_final
2019-07-12 11:26:25	ga_ls8c_ard_3-1-0_111075_2019-07-12_final
2019-07-12 11:26:49	ga_ls8c_ard_3-1-0_111076_2019-07-12_final
2019-07-16 09:22:49	ga_ls8c_ard_3-1-0_091075_2019-07-15_final
2019-07-16 09:23:13	ga_ls8c_ard_3-1-0_091076_2019-07-15_final
2019-07-16 11:01:43	ga_ls8c_ard_3-1-0_107075_2019-07-16_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-07-28 09:47:37	ga_ls8c_ard_3-1-0_095075_2019-07-28_final
2019-07-28 09:48:01	ga_ls8c_ard_3-1-0_095076_2019-07-28_final
2019-07-28 11:26:30	ga_ls8c_ard_3-1-0_111075_2019-07-28_final
2019-07-28 11:26:54	ga_ls8c_ard_3-1-0_111076_2019-07-28_final
2019-07-29 10:30:54	ga_ls8c_ard_3-1-0_102075_2019-07-29_final
2019-07-29 10:31:17	ga_ls8c_ard_3-1-0_102076_2019-07-29_final
2019-08-28 10:43:25	ga_ls8c_ard_3-1-0_104075_2019-08-28_final
2019-08-28 10:43:48	ga_ls8c_ard_3-1-0_104076_2019-08-28_final
2019-08-29 09:47:47	ga_ls8c_ard_3-1-0_095075_2019-08-29_final
2019-08-29 09:48:11	ga_ls8c_ard_3-1-0_095076_2019-08-29_final
2019-08-29 11:27:04	ga_ls8c_ard_3-1-0_111076_2019-08-29_final
2019-08-30 10:31:03	ga_ls8c_ard_3-1-0_102075_2019-08-30_final
2019-08-30 10:31:27	ga_ls8c_ard_3-1-0_102076_2019-08-30_final
2019-09-06 10:37:15	ga_ls8c_ard_3-1-0_103075_2019-09-06_final
2019-09-06 10:37:39	ga_ls8c_ard_3-1-0_103076_2019-09-06_final
2019-09-07 09:41:38	ga_ls8c_ard_3-1-0_094075_2019-09-07_final
2019-09-07 09:42:02	ga_ls8c_ard_3-1-0_094076_2019-09-07_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-09-07 11:20:55	ga_ls8c_ard_3-1-0_110076_2019-09-07_final
2019-09-08 10:24:55	ga_ls8c_ard_3-1-0_101075_2019-09-08_final
2019-09-08 10:25:18	ga_ls8c_ard_3-1-0_101076_2019-09-08_final
2019-09-12 10:00:13	ga_ls8c_ard_3-1-0_097075_2019-09-12_final
2019-09-12 10:00:37	ga_ls8c_ard_3-1-0_097076_2019-09-12_final
2019-09-12 11:39:06	ga_ls8c_ard_3-1-0_113075_2019-09-12_final
2019-09-12 11:39:30	ga_ls8c_ard_3-1-0_113076_2019-09-12_final
2019-09-13 10:43:29	ga_ls8c_ard_3-1-0_104075_2019-09-13_final
2019-09-13 10:43:53	ga_ls8c_ard_3-1-0_104076_2019-09-13_final
2019-09-14 09:47:52	ga_ls8c_ard_3-1-0_095075_2019-09-14_final
2019-09-14 09:48:16	ga_ls8c_ard_3-1-0_095076_2019-09-14_final
2019-09-14 11:26:45	ga_ls8c_ard_3-1-0_111075_2019-09-14_final
2019-09-14 11:27:09	ga_ls8c_ard_3-1-0_111076_2019-09-14_final
2019-09-15 10:31:08	ga_ls8c_ard_3-1-0_102075_2019-09-15_final
2019-09-15 10:31:32	ga_ls8c_ard_3-1-0_102076_2019-09-15_final
2019-10-24 10:37:26	ga_ls8c_ard_3-1-0_103075_2019-10-24_final
2019-10-24 10:37:50	ga_ls8c_ard_3-1-0_103076_2019-10-24_final
2019-10-25 09:41:49	ga_ls8c_ard_3-1-0_094075_2019-10-25_final
2019-10-25 09:42:13	ga_ls8c_ard_3-1-0_094076_2019-10-25_final
2019-10-25 11:21:06	ga_ls8c_ard_3-1-0_110076_2019-10-25_final
2019-10-26 10:25:05	ga_ls8c_ard_3-1-0_101075_2019-10-26_final
2019-10-26 10:25:29	ga_ls8c_ard_3-1-0_101076_2019-10-26_final
2019-11-19 09:35:34	ga_ls8c_ard_3-1-0_093075_2019-11-19_final
2019-11-19 09:35:58	ga_ls8c_ard_3-1-0_093076_2019-11-19_final
2019-11-21 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-11-20_final
2019-11-21 09:23:36	ga_ls8c_ard_3-1-0_091076_2019-11-20_final
2019-11-21 11:02:05	ga_ls8c_ard_3-1-0_107075_2019-11-21_final
2019-11-21 11:02:29	ga_ls8c_ard_3-1-0_107076_2019-11-21_final
2023-03-22 11:45:17	ga_ls8c_ard_3-2-1_114076_2023-03-22_final
2023-03-23 09:10:46	ga_ls8c_ard_3-2-1_089076_2023-03-22_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-03-24 09:54:01	ga_ls8c_ard_3-2-1_096076_2023-03-24_final
2023-03-30 10:55:47	ga_ls8c_ard_3-2-1_106076_2023-03-30_final
2023-03-31 10:00:09	ga_ls8c_ard_3-2-1_097076_2023-03-31_final
2023-03-31 11:39:02	ga_ls8c_ard_3-2-1_113076_2023-03-31_final
2023-04-01 10:43:24	ga_ls8c_ard_3-2-1_104076_2023-04-01_final
2023-04-02 09:47:46	ga_ls8c_ard_3-2-1_095076_2023-04-02_final
2023-04-02 11:26:15	ga_ls8c_ard_3-2-1_111075_2023-04-02_final
2023-04-02 11:26:39	ga_ls8c_ard_3-2-1_111076_2023-04-02_final
2023-04-03 10:31:00	ga_ls8c_ard_3-2-1_102076_2023-04-03_final
2023-04-05 11:57:29	ga_ls8c_ard_3-2-1_116076_2023-04-05_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-04-06 09:22:58	ga_ls8c_ard_3-2-1_091076_2023-04-05_final
2023-04-06 11:01:27	ga_ls8c_ard_3-2-1_107075_2023-04-06_final
2023-04-06 11:01:51	ga_ls8c_ard_3-2-1_107076_2023-04-06_final
2023-04-07 10:06:12	ga_ls8c_ard_3-2-1_098076_2023-04-07_final
2023-04-11 11:20:16	ga_ls8c_ard_3-2-1_110076_2023-04-11_final
2023-04-12 10:24:38	ga_ls8c_ard_3-2-1_101076_2023-04-12_final
2023-04-13 09:29:01	ga_ls8c_ard_3-2-1_092076_2023-04-12_final
2023-04-13 11:07:54	ga_ls8c_ard_3-2-1_108076_2023-04-13_final
2023-04-14 10:12:17	ga_ls8c_ard_3-2-1_099076_2023-04-14_final
2023-04-14 11:51:10	ga_ls8c_ard_3-2-1_115076_2023-04-14_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