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:

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First 100 results (query limit)

Time (local)	Label
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2022-09-03 10:52:55	ga_ls8c_ard_3-2-1_106067_2022-09-03_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-07-29 09:13:32	ga_ls8c_ard_3-2-1_089083_2023-07-28_final
2023-07-29 10:46:02	ga_ls8c_ard_3-2-1_105067_2023-07-29_final
2023-08-06 10:03:49	ga_ls8c_ard_3-2-1_097085_2023-08-06_final
2023-08-11 10:21:33	ga_ls8c_ard_3-2-1_100083_2023-08-11_final
2023-08-12 09:27:08	ga_ls8c_ard_3-2-1_091086_2023-08-11_final
2023-08-13 10:04:26	ga_ls8c_ard_3-2-1_098071_2023-08-13_final
2023-08-18 10:27:50	ga_ls8c_ard_3-2-1_101083_2023-08-18_final
2023-08-22 10:03:32	ga_ls8c_ard_3-2-1_097084_2023-08-22_final
2023-08-29 10:04:33	ga_ls8c_ard_3-2-1_098071_2023-08-29_final
2023-09-02 09:45:00	ga_ls8c_ard_3-2-1_094084_2023-09-02_final
2023-09-02 11:23:53	ga_ls8c_ard_3-2-1_110084_2023-09-02_final
2023-09-05 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-09-05_final
2023-09-07 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-09-07_final
2023-09-18 09:40:41	ga_ls8c_ard_3-2-1_094073_2023-09-18_final
2023-09-18 09:45:53	ga_ls8c_ard_3-2-1_094086_2023-09-18_final
2023-09-18 11:19:58	ga_ls8c_ard_3-2-1_110074_2023-09-18_final
2023-09-21 10:15:59	ga_ls8c_ard_3-2-1_099084_2023-09-21_final
2023-09-30 10:07:04	ga_ls8c_ard_3-2-1_098077_2023-09-30_final
2023-10-04 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-10-04_final
2023-10-04 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-10-04_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-07 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-10-07_final
2023-10-13 11:13:30	ga_ls8c_ard_3-2-1_109073_2023-10-13_final
2023-10-17 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-10-16_final
2023-10-21 10:28:01	ga_ls8c_ard_3-2-1_101083_2023-10-21_final
2023-10-22 09:29:37	ga_ls8c_ard_3-2-1_092076_2023-10-21_final
2023-10-23 10:16:05	ga_ls8c_ard_3-2-1_099084_2023-10-23_final
2023-10-23 11:50:59	ga_ls8c_ard_3-2-1_115074_2023-10-23_final
2023-10-24 09:20:52	ga_ls8c_ard_3-2-1_090085_2023-10-23_final
2023-10-24 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-10-24_final
2023-10-26 10:41:02	ga_ls8c_ard_3-2-1_104069_2023-10-26_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_2023-10-27_final
2023-10-30 10:18:19	ga_ls8c_ard_3-2-1_100074_2023-10-30_final
2023-10-31 09:23:54	ga_ls8c_ard_3-2-1_091077_2023-10-30_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-11-03 09:58:23	ga_ls8c_ard_3-2-1_096086_2023-11-03_final
2023-11-13 10:29:26	ga_ls8c_ard_3-2-1_102071_2023-11-13_final
2023-11-16 11:01:34	ga_ls8c_ard_3-2-1_107074_2023-11-16_final
2023-11-17 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-17_final
2023-11-18 10:47:14	ga_ls8c_ard_3-2-1_105069_2023-11-18_final
2023-11-19 09:52:25	ga_ls8c_ard_3-2-1_096071_2023-11-19_final
2023-11-27 10:41:28	ga_ls8c_ard_3-2-1_104070_2023-11-27_final
2023-11-28 09:50:14	ga_ls8c_ard_3-2-1_095081_2023-11-28_final
2023-11-28 11:30:19	ga_ls8c_ard_3-2-1_111084_2023-11-28_final
2023-11-29 10:28:42	ga_ls8c_ard_3-2-1_102069_2023-11-29_final
2023-12-01 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-01_final
2023-12-02 09:28:15	ga_ls8c_ard_3-2-1_091088_2023-12-01_final
2023-12-02 11:05:32	ga_ls8c_ard_3-2-1_107084_2023-12-02_final
2023-12-06 10:37:56	ga_ls8c_ard_3-2-1_103077_2023-12-06_final
2023-12-12 11:39:00	ga_ls8c_ard_3-2-1_113075_2023-12-12_final
2023-12-18 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-12-18_final
2023-12-19 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-12-19_final
2023-12-20 09:15:56	ga_ls8c_ard_3-2-1_089088_2023-12-19_final
2023-12-23 09:40:02	ga_ls8c_ard_3-2-1_094071_2023-12-23_final
2023-12-23 09:44:50	ga_ls8c_ard_3-2-1_094083_2023-12-23_final
2023-12-24 10:23:42	ga_ls8c_ard_3-2-1_101072_2023-12-24_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-28 11:39:02	ga_ls8c_ard_3-2-1_113075_2023-12-28_final
2023-12-31 10:29:25	ga_ls8c_ard_3-2-1_102071_2023-12-31_final
2024-01-03 09:26:10	ga_ls8c_ard_3-2-1_091083_2024-01-02_final
2024-01-10 09:33:58	ga_ls8c_ard_3-2-1_092087_2024-01-10_final
2024-01-15 09:47:44	ga_ls8c_ard_3-2-1_095075_2024-01-15_final
2024-01-19 09:26:35	ga_ls8c_ard_3-2-1_091084_2024-01-18_final
2024-01-21 09:14:12	ga_ls8c_ard_3-2-1_089084_2024-01-20_final
2024-01-31 11:26:56	ga_ls8c_ard_3-2-1_111076_2024-01-31_final
2024-02-06 09:13:01	ga_ls8c_ard_3-2-1_089081_2024-02-05_final
2024-02-07 09:52:17	ga_ls8c_ard_3-2-1_096071_2024-02-07_final
2024-02-10 10:23:35	ga_ls8c_ard_3-2-1_101072_2024-02-10_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_2024-02-12_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_final
2024-02-14 09:59:38	ga_ls8c_ard_3-2-1_097074_2024-02-14_final
2024-02-21 10:10:12	ga_ls8c_ard_3-2-1_098085_2024-02-21_final
2024-02-26 10:27:54	ga_ls8c_ard_3-2-1_101083_2024-02-26_final
2024-02-29 09:21:53	ga_ls8c_ard_3-2-1_090088_2024-02-28_final
2024-02-29 10:54:46	ga_ls8c_ard_3-2-1_106073_2024-02-29_final
2024-03-01 10:01:32	ga_ls8c_ard_3-2-1_097079_2024-03-01_final
2024-03-01 11:37:37	ga_ls8c_ard_3-2-1_113072_2024-03-01_final
2024-03-04 10:28:47	ga_ls8c_ard_3-2-1_102070_2024-03-04_final
2024-03-05 09:40:20	ga_ls8c_ard_3-2-1_093088_2024-03-05_final
2024-03-05 11:12:02	ga_ls8c_ard_3-2-1_109070_2024-03-05_final
2024-03-08 11:46:29	ga_ls8c_ard_3-2-1_114079_2024-03-08_final
2024-03-14 09:33:17	ga_ls8c_ard_3-2-1_092086_2024-03-14_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-14 11:06:35	ga_ls8c_ard_3-2-1_108072_2024-03-14_final
2024-03-14 11:11:22	ga_ls8c_ard_3-2-1_108084_2024-03-14_final
2024-03-19 11:28:40	ga_ls8c_ard_3-2-1_111081_2024-03-19_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-24 10:07:50	ga_ls8c_ard_3-2-1_098080_2024-03-24_final
2024-03-24 11:45:07	ga_ls8c_ard_3-2-1_114076_2024-03-24_final
2024-03-25 09:14:10	ga_ls8c_ard_3-2-1_089085_2024-03-24_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_final
2024-03-31 11:52:01	ga_ls8c_ard_3-2-1_115078_2024-03-31_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_final
2024-04-01 10:57:11	ga_ls8c_ard_3-2-1_106080_2024-04-01_final
2024-04-02 09:57:59	ga_ls8c_ard_3-2-1_097071_2024-04-02_final
2024-04-05 10:29:40	ga_ls8c_ard_3-2-1_102073_2024-04-05_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