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
2013-09-18 10:04:30	ga_ls8c_ard_3-2-1_098066_2013-09-18_final
2020-09-16 08:10:58	ga_ls8c_ard_3-2-1_079080_2020-09-15_final
2023-09-25 09:46:54	ga_ls8c_ard_3-2-1_095073_2023-09-25_final
2023-09-25 11:25:23	ga_ls8c_ard_3-2-1_111072_2023-09-25_final
2023-10-04 09:40:44	ga_ls8c_ard_3-2-1_094073_2023-10-04_final
2023-10-04 09:41:08	ga_ls8c_ard_3-2-1_094074_2023-10-04_final
2023-10-05 10:24:24	ga_ls8c_ard_3-2-1_101074_2023-10-05_final
2023-10-07 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-10-07_final
2023-10-13 09:38:12	ga_ls8c_ard_3-2-1_093082_2023-10-13_final
2023-10-19 10:34:47	ga_ls8c_ard_3-2-1_103069_2023-10-19_final
2023-10-22 09:31:13	ga_ls8c_ard_3-2-1_092080_2023-10-22_final
2023-10-22 11:11:18	ga_ls8c_ard_3-2-1_108083_2023-10-22_final
2023-10-24 09:20:52	ga_ls8c_ard_3-2-1_090085_2023-10-23_final
2023-10-31 09:23:54	ga_ls8c_ard_3-2-1_091077_2023-10-30_final
2023-10-31 09:25:53	ga_ls8c_ard_3-2-1_091082_2023-10-30_final
2023-10-31 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-10-31_final
2023-10-31 11:01:59	ga_ls8c_ard_3-2-1_107075_2023-10-31_final
2023-11-02 10:47:13	ga_ls8c_ard_3-2-1_105069_2023-11-02_final
2023-11-07 11:09:42	ga_ls8c_ard_3-2-1_108079_2023-11-07_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-11-16 09:28:40	ga_ls8c_ard_3-2-1_091089_2023-11-15_final
2023-11-21 11:20:33	ga_ls8c_ard_3-2-1_110075_2023-11-21_final
2023-11-24 10:15:22	ga_ls8c_ard_3-2-1_099082_2023-11-24_final
2023-11-25 10:54:38	ga_ls8c_ard_3-2-1_106072_2023-11-25_final
2023-11-25 10:55:50	ga_ls8c_ard_3-2-1_106075_2023-11-25_final
2023-11-26 10:02:12	ga_ls8c_ard_3-2-1_097080_2023-11-26_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2023-11-30 09:38:15	ga_ls8c_ard_3-2-1_093082_2023-11-30_final
2023-11-30 11:15:08	ga_ls8c_ard_3-2-1_109077_2023-11-30_final
2023-12-07 11:20:47	ga_ls8c_ard_3-2-1_110076_2023-12-07_final
2023-12-08 10:24:23	ga_ls8c_ard_3-2-1_101074_2023-12-08_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-11 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-12-11_final
2023-12-12 09:57:43	ga_ls8c_ard_3-2-1_097069_2023-12-12_final
2023-12-15 10:28:39	ga_ls8c_ard_3-2-1_102069_2023-12-15_final
2023-12-16 09:39:02	ga_ls8c_ard_3-2-1_093084_2023-12-16_final
2023-12-18 09:26:17	ga_ls8c_ard_3-2-1_091083_2023-12-17_final
2023-12-18 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-12-17_final
2023-12-25 11:10:57	ga_ls8c_ard_3-2-1_108082_2023-12-25_final
2023-12-29 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-29_final
2023-12-31 10:31:00	ga_ls8c_ard_3-2-1_102075_2023-12-31_final
2024-01-01 09:38:58	ga_ls8c_ard_3-2-1_093084_2024-01-01_final
2024-01-05 10:50:40	ga_ls8c_ard_3-2-1_105078_2024-01-05_final
2024-01-08 11:20:24	ga_ls8c_ard_3-2-1_110075_2024-01-08_final
2024-01-17 09:35:22	ga_ls8c_ard_3-2-1_093075_2024-01-17_final
2024-01-17 11:16:14	ga_ls8c_ard_3-2-1_109080_2024-01-17_final
2024-01-22 11:32:44	ga_ls8c_ard_3-2-1_112075_2024-01-22_final
2024-01-31 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-01-31_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-02-04 09:26:57	ga_ls8c_ard_3-2-1_091085_2024-02-03_final
2024-02-09 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-02-09_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-16 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-02-16_final
2024-02-17 10:30:56	ga_ls8c_ard_3-2-1_102075_2024-02-17_final
2024-02-18 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-18_final
2024-02-21 10:05:24	ga_ls8c_ard_3-2-1_098073_2024-02-21_final
2024-02-22 10:49:51	ga_ls8c_ard_3-2-1_105076_2024-02-22_final
2024-02-22 10:50:15	ga_ls8c_ard_3-2-1_105077_2024-02-22_final
2024-02-23 11:36:18	ga_ls8c_ard_3-2-1_112084_2024-02-23_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-27 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-02-27_final
2024-02-27 11:10:21	ga_ls8c_ard_3-2-1_108081_2024-02-27_final
2024-03-02 10:40:23	ga_ls8c_ard_3-2-1_104068_2024-03-02_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 11:28:25	ga_ls8c_ard_3-2-1_111080_2024-03-03_final
2024-03-09 09:15:58	ga_ls8c_ard_3-2-1_089089_2024-03-08_final
2024-03-09 10:50:04	ga_ls8c_ard_3-2-1_105077_2024-03-09_final
2024-03-09 10:50:28	ga_ls8c_ard_3-2-1_105078_2024-03-09_final
2024-03-10 11:36:07	ga_ls8c_ard_3-2-1_112084_2024-03-10_final
2024-03-13 10:25:43	ga_ls8c_ard_3-2-1_101078_2024-03-13_final
2024-03-14 09:32:05	ga_ls8c_ard_3-2-1_092083_2024-03-14_final
2024-03-14 11:07:23	ga_ls8c_ard_3-2-1_108074_2024-03-14_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-23 11:02:40	ga_ls8c_ard_3-2-1_107078_2024-03-23_final
2024-03-28 11:23:53	ga_ls8c_ard_3-2-1_110085_2024-03-28_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-04 08:10:19	ga_ls8c_ard_3-2-1_079080_2024-04-03_final
2024-04-04 09:50:00	ga_ls8c_ard_3-2-1_095082_2024-04-04_final
2024-04-10 09:10:54	ga_ls8c_ard_3-2-1_089077_2024-04-09_final
2024-04-10 09:13:42	ga_ls8c_ard_3-2-1_089084_2024-04-09_final
2024-04-11 09:54:33	ga_ls8c_ard_3-2-1_096078_2024-04-11_final
2024-04-13 09:44:34	ga_ls8c_ard_3-2-1_094084_2024-04-13_final
2024-04-13 09:45:22	ga_ls8c_ard_3-2-1_094086_2024-04-13_final
2024-04-18 11:40:43	ga_ls8c_ard_3-2-1_113081_2024-04-18_final
2024-04-21 10:30:20	ga_ls8c_ard_3-2-1_102075_2024-04-21_final
2024-04-21 10:33:07	ga_ls8c_ard_3-2-1_102082_2024-04-21_final
2024-04-22 09:37:06	ga_ls8c_ard_3-2-1_093081_2024-04-22_final
2024-04-26 10:49:38	ga_ls8c_ard_3-2-1_105077_2024-04-26_final
2024-04-29 11:17:42	ga_ls8c_ard_3-2-1_110070_2024-04-29_final
2024-04-29 11:20:29	ga_ls8c_ard_3-2-1_110077_2024-04-29_final
2024-05-01 09:28:48	ga_ls8c_ard_3-2-1_092076_2024-04-30_final
2024-05-01 11:08:05	ga_ls8c_ard_3-2-1_108077_2024-05-01_final
2024-05-02 10:12:51	ga_ls8c_ard_3-2-1_099078_2024-05-02_final
2024-05-03 10:57:18	ga_ls8c_ard_3-2-1_106081_2024-05-03_final
2024-05-04 10:02:52	ga_ls8c_ard_3-2-1_097084_2024-05-04_final
2024-05-05 10:44:08	ga_ls8c_ard_3-2-1_104079_2024-05-05_final
2024-05-07 10:30:10	ga_ls8c_ard_3-2-1_102075_2024-05-07_final
2024-05-08 09:36:08	ga_ls8c_ard_3-2-1_093079_2024-05-08_final
2024-05-10 11:01:26	ga_ls8c_ard_3-2-1_107076_2024-05-10_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