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
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2020-05-15 12:36:52	ga_ls8c_ard_3-2-1_123067_2020-05-15_final
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2023-08-24 11:27:17	ga_ls8c_ard_3-2-1_111077_2023-08-24_final
2023-08-29 11:47:01	ga_ls8c_ard_3-2-1_114080_2023-08-29_final
2023-09-02 09:46:12	ga_ls8c_ard_3-2-1_094087_2023-09-02_final
2023-09-03 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-09-03_final
2023-09-04 09:29:50	ga_ls8c_ard_3-2-1_092077_2023-09-03_final
2023-09-05 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-09-05_final
2023-09-05 11:52:22	ga_ls8c_ard_3-2-1_115078_2023-09-05_final
2023-09-07 10:01:55	ga_ls8c_ard_3-2-1_097080_2023-09-07_final
2023-09-07 10:02:19	ga_ls8c_ard_3-2-1_097081_2023-09-07_final
2023-09-12 10:22:07	ga_ls8c_ard_3-2-1_100084_2023-09-12_final
2023-09-13 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-09-12_final
2023-09-13 09:24:07	ga_ls8c_ard_3-2-1_091078_2023-09-12_final
2023-09-14 11:45:52	ga_ls8c_ard_3-2-1_114077_2023-09-14_final
2023-09-19 10:24:45	ga_ls8c_ard_3-2-1_101075_2023-09-19_final
2023-09-20 11:10:48	ga_ls8c_ard_3-2-1_108082_2023-09-20_final
2023-09-21 11:52:04	ga_ls8c_ard_3-2-1_115077_2023-09-21_final
2023-09-22 09:17:58	ga_ls8c_ard_3-2-1_090078_2023-09-21_final
2023-09-25 11:28:34	ga_ls8c_ard_3-2-1_111080_2023-09-25_final
2023-09-30 11:45:57	ga_ls8c_ard_3-2-1_114077_2023-09-30_final
2023-09-30 11:46:45	ga_ls8c_ard_3-2-1_114079_2023-09-30_final
2023-10-05 10:25:36	ga_ls8c_ard_3-2-1_101077_2023-10-05_final
2023-10-09 10:02:06	ga_ls8c_ard_3-2-1_097080_2023-10-09_final
2023-10-09 10:02:30	ga_ls8c_ard_3-2-1_097081_2023-10-09_final
2023-10-10 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-10-10_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-16 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-10-16_final
2023-10-19 10:37:59	ga_ls8c_ard_3-2-1_103077_2023-10-19_final
2023-10-20 11:19:15	ga_ls8c_ard_3-2-1_110072_2023-10-20_final
2023-10-22 11:05:43	ga_ls8c_ard_3-2-1_108069_2023-10-22_final
2023-10-23 11:52:11	ga_ls8c_ard_3-2-1_115077_2023-10-23_final
2023-10-24 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-10-23_final
2023-10-25 10:02:09	ga_ls8c_ard_3-2-1_097080_2023-10-25_final
2023-10-25 11:41:02	ga_ls8c_ard_3-2-1_113080_2023-10-25_final
2023-11-06 10:25:16	ga_ls8c_ard_3-2-1_101076_2023-11-06_final
2023-11-07 11:11:18	ga_ls8c_ard_3-2-1_108083_2023-11-07_final
2023-11-07 11:11:42	ga_ls8c_ard_3-2-1_108084_2023-11-07_final
2023-11-08 10:13:16	ga_ls8c_ard_3-2-1_099077_2023-11-08_final
2023-11-10 11:39:46	ga_ls8c_ard_3-2-1_113077_2023-11-10_final
2023-11-12 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-11-12_final
2023-11-16 11:03:58	ga_ls8c_ard_3-2-1_107080_2023-11-16_final
2023-11-17 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-11-17_final
2023-11-17 11:46:26	ga_ls8c_ard_3-2-1_114078_2023-11-17_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-19 11:32:54	ga_ls8c_ard_3-2-1_112075_2023-11-19_final
2023-11-23 11:05:48	ga_ls8c_ard_3-2-1_108069_2023-11-23_final
2023-11-26 11:39:53	ga_ls8c_ard_3-2-1_113077_2023-11-26_final
2023-11-28 11:27:31	ga_ls8c_ard_3-2-1_111077_2023-11-28_final
2023-12-08 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-12-08_final
2023-12-10 11:52:08	ga_ls8c_ard_3-2-1_115077_2023-12-10_final
2023-12-11 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-12-11_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-16 11:16:43	ga_ls8c_ard_3-2-1_109081_2023-12-16_final
2023-12-17 10:20:18	ga_ls8c_ard_3-2-1_100079_2023-12-17_final
2023-12-19 11:46:50	ga_ls8c_ard_3-2-1_114079_2023-12-19_final
2023-12-19 11:47:14	ga_ls8c_ard_3-2-1_114080_2023-12-19_final
2023-12-20 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-12-19_final
2023-12-22 10:35:16	ga_ls8c_ard_3-2-1_103070_2023-12-22_final
2023-12-23 09:44:50	ga_ls8c_ard_3-2-1_094083_2023-12-23_final
2023-12-23 11:20:55	ga_ls8c_ard_3-2-1_110076_2023-12-23_final
2023-12-27 09:18:29	ga_ls8c_ard_3-2-1_090079_2023-12-26_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2023-12-31 10:31:48	ga_ls8c_ard_3-2-1_102077_2023-12-31_final
2024-01-03 11:00:40	ga_ls8c_ard_3-2-1_107072_2024-01-03_final
2024-01-11 10:14:26	ga_ls8c_ard_3-2-1_099080_2024-01-11_final
2024-01-18 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-18_final
2024-01-21 09:13:00	ga_ls8c_ard_3-2-1_089081_2024-01-20_final
2024-01-22 11:34:44	ga_ls8c_ard_3-2-1_112080_2024-01-22_final
2024-01-24 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-01-24_final
2024-02-06 09:11:49	ga_ls8c_ard_3-2-1_089078_2024-02-05_final
2024-02-06 10:46:19	ga_ls8c_ard_3-2-1_105067_2024-02-06_final
2024-02-12 11:52:54	ga_ls8c_ard_3-2-1_115079_2024-02-12_final
2024-02-13 09:18:47	ga_ls8c_ard_3-2-1_090080_2024-02-12_final
2024-02-13 09:19:11	ga_ls8c_ard_3-2-1_090081_2024-02-12_final
2024-02-14 11:39:43	ga_ls8c_ard_3-2-1_113077_2024-02-14_final
2024-02-15 10:40:54	ga_ls8c_ard_3-2-1_104069_2024-02-15_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-21 11:45:53	ga_ls8c_ard_3-2-1_114077_2024-02-21_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-02-28 10:09:32	ga_ls8c_ard_3-2-1_099068_2024-02-28_final
2024-02-28 11:50:48	ga_ls8c_ard_3-2-1_115074_2024-02-28_final
2024-03-01 09:58:20	ga_ls8c_ard_3-2-1_097071_2024-03-01_final
2024-03-04 10:31:11	ga_ls8c_ard_3-2-1_102076_2024-03-04_final
2024-03-10 11:32:31	ga_ls8c_ard_3-2-1_112075_2024-03-10_final
2024-03-14 11:11:22	ga_ls8c_ard_3-2-1_108084_2024-03-14_final
2024-03-17 10:01:46	ga_ls8c_ard_3-2-1_097080_2024-03-17_final
2024-03-17 11:39:27	ga_ls8c_ard_3-2-1_113077_2024-03-17_final
2024-03-21 11:17:28	ga_ls8c_ard_3-2-1_109084_2024-03-21_final
2024-03-24 11:45:31	ga_ls8c_ard_3-2-1_114077_2024-03-24_final
2024-03-24 11:45:55	ga_ls8c_ard_3-2-1_114078_2024-03-24_final
2024-03-28 09:40:37	ga_ls8c_ard_3-2-1_094074_2024-03-28_final
2024-03-31 11:51:13	ga_ls8c_ard_3-2-1_115076_2024-03-31_final
2024-03-31 11:51:37	ga_ls8c_ard_3-2-1_115077_2024-03-31_final
2024-04-01 09:18:18	ga_ls8c_ard_3-2-1_090080_2024-03-31_final
2024-04-04 11:26:54	ga_ls8c_ard_3-2-1_111077_2024-04-04_final
2024-04-04 11:28:05	ga_ls8c_ard_3-2-1_111080_2024-04-04_final
2024-04-06 11:16:31	ga_ls8c_ard_3-2-1_109082_2024-04-06_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