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
2015-12-12 12:37:34	ga_ls8c_ard_3-2-1_123067_2015-12-12_final
2018-10-17 12:37:18	ga_ls8c_ard_3-2-1_123067_2018-10-17_final
2018-12-20 12:37:20	ga_ls8c_ard_3-2-1_123067_2018-12-20_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2020-05-11 08:10:07	ga_ls8c_ard_3-2-1_079080_2020-05-10_final
2022-07-23 11:57:43	ga_ls8c_ard_3-2-1_116075_2022-07-23_final
2022-11-12 11:57:58	ga_ls8c_ard_3-2-1_116075_2022-11-12_final
2023-10-14 11:57:33	ga_ls8c_ard_3-2-1_116075_2023-10-14_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-07 09:24:20	ga_ls8c_ard_3-2-1_091079_2024-03-06_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-08 10:06:24	ga_ls8c_ard_3-2-1_098076_2024-03-08_final
2024-03-08 11:45:41	ga_ls8c_ard_3-2-1_114077_2024-03-08_final
2024-03-09 10:50:04	ga_ls8c_ard_3-2-1_105077_2024-03-09_final
2024-03-10 09:56:50	ga_ls8c_ard_3-2-1_096083_2024-03-10_final
2024-03-11 10:38:06	ga_ls8c_ard_3-2-1_103078_2024-03-11_final
2024-03-12 09:42:04	ga_ls8c_ard_3-2-1_094077_2024-03-12_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-12 09:43:16	ga_ls8c_ard_3-2-1_094080_2024-03-12_final
2024-03-13 10:24:55	ga_ls8c_ard_3-2-1_101076_2024-03-13_final
2024-03-14 09:31:17	ga_ls8c_ard_3-2-1_092081_2024-03-14_final
2024-03-15 11:51:50	ga_ls8c_ard_3-2-1_115077_2024-03-15_final
2024-03-16 10:57:00	ga_ls8c_ard_3-2-1_106079_2024-03-16_final
2024-03-17 10:00:58	ga_ls8c_ard_3-2-1_097078_2024-03-17_final
2024-03-22 10:20:14	ga_ls8c_ard_3-2-1_100080_2024-03-22_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-03-24 11:46:19	ga_ls8c_ard_3-2-1_114079_2024-03-24_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-28 09:44:36	ga_ls8c_ard_3-2-1_094084_2024-03-28_final
2024-03-29 10:25:28	ga_ls8c_ard_3-2-1_101078_2024-03-29_final
2024-03-30 09:31:03	ga_ls8c_ard_3-2-1_092081_2024-03-30_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-03-31 10:12:20	ga_ls8c_ard_3-2-1_099076_2024-03-31_final
2024-03-31 11:50:25	ga_ls8c_ard_3-2-1_115074_2024-03-31_final
2024-04-01 09:17:30	ga_ls8c_ard_3-2-1_090078_2024-03-31_final
2024-04-01 09:18:42	ga_ls8c_ard_3-2-1_090081_2024-03-31_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-03 10:44:50	ga_ls8c_ard_3-2-1_104080_2024-04-03_final
2024-04-04 09:47:13	ga_ls8c_ard_3-2-1_095075_2024-04-04_final
2024-04-04 11:28:29	ga_ls8c_ard_3-2-1_111081_2024-04-04_final
2024-04-05 10:29:16	ga_ls8c_ard_3-2-1_102072_2024-04-05_final
2024-04-06 11:15:44	ga_ls8c_ard_3-2-1_109080_2024-04-06_final
2024-04-07 10:18:30	ga_ls8c_ard_3-2-1_100076_2024-04-07_final
2024-04-07 10:20:06	ga_ls8c_ard_3-2-1_100080_2024-04-07_final
2024-04-08 09:26:04	ga_ls8c_ard_3-2-1_091084_2024-04-07_final
2024-04-08 11:00:34	ga_ls8c_ard_3-2-1_107073_2024-04-08_final
2024-04-09 11:45:01	ga_ls8c_ard_3-2-1_114076_2024-04-09_final
2024-04-09 11:45:49	ga_ls8c_ard_3-2-1_114078_2024-04-09_final
2024-04-09 11:46:13	ga_ls8c_ard_3-2-1_114079_2024-04-09_final
2024-04-10 09:13:18	ga_ls8c_ard_3-2-1_089083_2024-04-09_final
2024-04-10 10:48:11	ga_ls8c_ard_3-2-1_105073_2024-04-10_final
2024-04-10 10:49:47	ga_ls8c_ard_3-2-1_105077_2024-04-10_final
2024-04-12 10:34:37	ga_ls8c_ard_3-2-1_103070_2024-04-12_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-13 09:41:47	ga_ls8c_ard_3-2-1_094077_2024-04-13_final
2024-04-15 09:29:48	ga_ls8c_ard_3-2-1_092078_2024-04-14_final
2024-04-15 11:05:29	ga_ls8c_ard_3-2-1_108070_2024-04-15_final
2024-04-17 10:55:53	ga_ls8c_ard_3-2-1_106077_2024-04-17_final
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_final
2024-04-18 10:02:38	ga_ls8c_ard_3-2-1_097083_2024-04-18_final
2024-04-19 10:42:41	ga_ls8c_ard_3-2-1_104075_2024-04-19_final
2024-04-19 10:45:05	ga_ls8c_ard_3-2-1_104081_2024-04-19_final
2024-04-20 09:47:28	ga_ls8c_ard_3-2-1_095076_2024-04-20_final
2024-04-20 09:49:03	ga_ls8c_ard_3-2-1_095080_2024-04-20_final
2024-04-20 11:28:20	ga_ls8c_ard_3-2-1_111081_2024-04-20_final
2024-04-21 10:28:44	ga_ls8c_ard_3-2-1_102071_2024-04-21_final
2024-04-21 10:29:08	ga_ls8c_ard_3-2-1_102072_2024-04-21_final
2024-04-22 09:36:18	ga_ls8c_ard_3-2-1_093079_2024-04-22_final
2024-04-22 11:11:36	ga_ls8c_ard_3-2-1_109070_2024-04-22_final
2024-04-23 10:19:57	ga_ls8c_ard_3-2-1_100080_2024-04-23_final
2024-04-25 10:04:47	ga_ls8c_ard_3-2-1_098073_2024-04-25_final
2024-04-26 09:13:33	ga_ls8c_ard_3-2-1_089084_2024-04-25_final
2024-04-26 10:48:02	ga_ls8c_ard_3-2-1_105073_2024-04-26_final
2024-04-27 11:34:05	ga_ls8c_ard_3-2-1_112080_2024-04-27_final
2024-04-28 10:34:51	ga_ls8c_ard_3-2-1_103071_2024-04-28_final
2024-04-29 09:40:48	ga_ls8c_ard_3-2-1_094075_2024-04-29_final
2024-04-30 10:25:15	ga_ls8c_ard_3-2-1_101078_2024-04-30_final
2024-05-01 09:29:12	ga_ls8c_ard_3-2-1_092077_2024-04-30_final
2024-05-01 09:30:48	ga_ls8c_ard_3-2-1_092081_2024-05-01_final
2024-05-01 09:31:12	ga_ls8c_ard_3-2-1_092082_2024-05-01_final
2024-05-01 09:32:00	ga_ls8c_ard_3-2-1_092084_2024-05-01_final
2024-05-02 10:10:51	ga_ls8c_ard_3-2-1_099073_2024-05-02_final
2024-05-02 11:51:20	ga_ls8c_ard_3-2-1_115077_2024-05-02_final
2024-05-03 10:55:42	ga_ls8c_ard_3-2-1_106077_2024-05-03_final
2024-05-03 10:56:30	ga_ls8c_ard_3-2-1_106079_2024-05-03_final
2024-05-04 10:00:29	ga_ls8c_ard_3-2-1_097078_2024-05-04_final
2024-05-05 10:40:33	ga_ls8c_ard_3-2-1_104070_2024-05-05_final
2024-05-05 10:42:32	ga_ls8c_ard_3-2-1_104075_2024-05-05_final
2024-05-06 11:25:47	ga_ls8c_ard_3-2-1_111075_2024-05-06_final
2024-05-06 11:28:11	ga_ls8c_ard_3-2-1_111081_2024-05-06_final
2024-05-08 09:34:32	ga_ls8c_ard_3-2-1_093075_2024-05-08_final
2024-05-08 09:35:20	ga_ls8c_ard_3-2-1_093077_2024-05-08_final
2024-05-09 10:16:59	ga_ls8c_ard_3-2-1_100073_2024-05-09_final
2024-05-09 10:19:46	ga_ls8c_ard_3-2-1_100080_2024-05-09_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