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
2022-01-06 09:23:20	ga_ls8c_ard_3-2-1_090091_2022-01-05_final
2022-01-26 10:27:49	ga_ls8c_ard_3-2-1_102067_2022-01-26_final
2022-01-29 10:59:30	ga_ls8c_ard_3-2-1_107069_2022-01-29_final
2022-02-04 10:22:25	ga_ls8c_ard_3-2-1_101069_2022-02-04_final
2022-02-11 10:27:46	ga_ls8c_ard_3-2-1_102067_2022-02-11_final
2022-02-27 10:27:42	ga_ls8c_ard_3-2-1_102067_2022-02-27_final
2022-03-11 09:23:03	ga_ls8c_ard_3-2-1_090091_2022-03-10_final
2022-03-13 10:39:59	ga_ls8c_ard_3-2-1_104067_2022-03-13_final
2022-04-03 10:58:42	ga_ls8c_ard_3-2-1_107068_2022-04-03_final
2022-04-12 09:22:55	ga_ls8c_ard_3-2-1_090091_2022-04-11_final
2022-04-19 10:59:12	ga_ls8c_ard_3-2-1_107069_2022-04-19_final
2022-04-21 09:15:32	ga_ls8c_ard_3-2-1_089088_2022-04-20_final
2022-05-02 10:27:28	ga_ls8c_ard_3-2-1_102067_2022-05-02_final
2022-05-21 10:59:19	ga_ls8c_ard_3-2-1_107069_2022-05-21_final
2022-06-06 10:59:26	ga_ls8c_ard_3-2-1_107069_2022-06-06_final
2022-06-12 10:22:26	ga_ls8c_ard_3-2-1_101069_2022-06-12_final
2022-06-21 11:57:36	ga_ls8c_ard_3-2-1_116075_2022-06-21_final
2022-07-17 10:52:38	ga_ls8c_ard_3-2-1_106067_2022-07-17_final
2022-08-15 10:22:49	ga_ls8c_ard_3-2-1_101069_2022-08-15_final
2022-08-18 10:52:55	ga_ls8c_ard_3-2-1_106067_2022-08-18_final
2022-08-19 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-08-19_final
2022-09-05 10:40:35	ga_ls8c_ard_3-2-1_104067_2022-09-05_final
2022-09-10 10:59:58	ga_ls8c_ard_3-2-1_107069_2022-09-10_final
2022-09-12 09:16:19	ga_ls8c_ard_3-2-1_089088_2022-09-11_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-10-07 10:40:37	ga_ls8c_ard_3-2-1_104067_2022-10-07_final
2022-10-18 10:22:50	ga_ls8c_ard_3-2-1_101069_2022-10-18_final
2022-10-21 10:52:58	ga_ls8c_ard_3-2-1_106067_2022-10-21_final
2022-11-03 10:22:56	ga_ls8c_ard_3-2-1_101069_2022-11-03_final
2022-11-08 10:40:39	ga_ls8c_ard_3-2-1_104067_2022-11-08_final
2022-11-13 10:59:57	ga_ls8c_ard_3-2-1_107069_2022-11-13_final
2022-11-22 10:52:56	ga_ls8c_ard_3-2-1_106067_2022-11-22_final
2022-11-29 10:59:32	ga_ls8c_ard_3-2-1_107068_2022-11-29_final
2022-12-10 10:40:34	ga_ls8c_ard_3-2-1_104067_2022-12-10_final
2022-12-17 09:16:10	ga_ls8c_ard_3-2-1_089088_2022-12-16_final
2023-01-18 09:15:59	ga_ls8c_ard_3-2-1_089088_2023-01-17_final
2023-01-22 10:22:37	ga_ls8c_ard_3-2-1_101069_2023-01-22_final
2023-02-03 09:16:05	ga_ls8c_ard_3-2-1_089088_2023-02-02_final
2023-02-23 10:22:23	ga_ls8c_ard_3-2-1_101069_2023-02-23_final
2023-03-07 09:15:43	ga_ls8c_ard_3-2-1_089088_2023-03-06_final
2023-05-19 10:39:18	ga_ls8c_ard_3-2-1_104067_2023-05-19_final
2023-06-06 10:27:03	ga_ls8c_ard_3-2-1_102067_2023-06-06_final
2023-06-15 10:21:45	ga_ls8c_ard_3-2-1_101069_2023-06-15_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-22 10:27:08	ga_ls8c_ard_3-2-1_102067_2023-06-22_final
2023-07-01 10:21:54	ga_ls8c_ard_3-2-1_101069_2023-07-01_final
2023-07-08 10:27:21	ga_ls8c_ard_3-2-1_102067_2023-07-08_final
2023-07-24 10:27:25	ga_ls8c_ard_3-2-1_102067_2023-07-24_final
2023-07-27 10:58:46	ga_ls8c_ard_3-2-1_107068_2023-07-27_final
2023-08-02 10:22:08	ga_ls8c_ard_3-2-1_101069_2023-08-02_final
2023-08-09 10:27:32	ga_ls8c_ard_3-2-1_102067_2023-08-09_final
2023-08-12 10:58:50	ga_ls8c_ard_3-2-1_107068_2023-08-12_final
2023-08-21 09:23:04	ga_ls8c_ard_3-2-1_090091_2023-08-20_final
2023-08-25 10:27:40	ga_ls8c_ard_3-2-1_102067_2023-08-25_final
2023-08-28 10:58:58	ga_ls8c_ard_3-2-1_107068_2023-08-28_final
2023-09-06 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-09-05_final
2023-09-06 10:52:21	ga_ls8c_ard_3-2-1_106067_2023-09-06_final
2023-09-13 10:59:01	ga_ls8c_ard_3-2-1_107068_2023-09-13_final
2023-09-22 10:52:27	ga_ls8c_ard_3-2-1_106067_2023-09-22_final
2023-10-08 10:52:32	ga_ls8c_ard_3-2-1_106067_2023-10-08_final
2023-10-12 10:27:50	ga_ls8c_ard_3-2-1_102067_2023-10-12_final
2023-10-15 10:59:08	ga_ls8c_ard_3-2-1_107068_2023-10-15_final
2023-10-24 09:23:16	ga_ls8c_ard_3-2-1_090091_2023-10-23_final
2023-10-24 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-10-24_final
2023-10-31 10:59:11	ga_ls8c_ard_3-2-1_107068_2023-10-31_final
2023-11-09 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-11-08_final
2023-11-16 10:59:10	ga_ls8c_ard_3-2-1_107068_2023-11-16_final
2023-11-29 10:27:54	ga_ls8c_ard_3-2-1_102067_2023-11-29_final
2023-12-11 09:23:14	ga_ls8c_ard_3-2-1_090091_2023-12-10_final
2023-12-11 10:52:32	ga_ls8c_ard_3-2-1_106067_2023-12-11_final
2023-12-27 09:23:17	ga_ls8c_ard_3-2-1_090091_2023-12-26_final
2023-12-27 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-12-27_final
2024-01-12 10:52:31	ga_ls8c_ard_3-2-1_106067_2024-01-12_final
2024-01-14 10:40:10	ga_ls8c_ard_3-2-1_104067_2024-01-14_final
2024-01-16 10:27:48	ga_ls8c_ard_3-2-1_102067_2024-01-16_final
2024-01-19 10:59:05	ga_ls8c_ard_3-2-1_107068_2024-01-19_final
2024-01-25 10:22:19	ga_ls8c_ard_3-2-1_101069_2024-01-25_final
2024-01-30 10:40:04	ga_ls8c_ard_3-2-1_104067_2024-01-30_final
2024-02-01 10:27:44	ga_ls8c_ard_3-2-1_102067_2024-02-01_final
2024-02-04 10:59:04	ga_ls8c_ard_3-2-1_107068_2024-02-04_final
2024-02-10 10:22:23	ga_ls8c_ard_3-2-1_101069_2024-02-10_final
2024-02-13 09:23:10	ga_ls8c_ard_3-2-1_090091_2024-02-12_final
2024-02-13 10:52:29	ga_ls8c_ard_3-2-1_106067_2024-02-13_final
2024-02-15 10:40:06	ga_ls8c_ard_3-2-1_104067_2024-02-15_final
2024-03-04 10:27:36	ga_ls8c_ard_3-2-1_102067_2024-03-04_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-07 10:58:50	ga_ls8c_ard_3-2-1_107068_2024-03-07_final
2024-03-07 10:59:14	ga_ls8c_ard_3-2-1_107069_2024-03-07_final
2024-03-09 09:15:34	ga_ls8c_ard_3-2-1_089088_2024-03-08_final
2024-04-02 10:00:46	ga_ls8c_ard_3-2-1_097078_2024-04-02_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-03 10:41:14	ga_ls8c_ard_3-2-1_104071_2024-04-03_final
2024-04-04 09:46:49	ga_ls8c_ard_3-2-1_095074_2024-04-04_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_final
2024-04-04 11:23:42	ga_ls8c_ard_3-2-1_111069_2024-04-04_final
2024-04-04 11:24:30	ga_ls8c_ard_3-2-1_111071_2024-04-04_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-04 11:29:17	ga_ls8c_ard_3-2-1_111083_2024-04-04_final
2024-04-04 11:29:41	ga_ls8c_ard_3-2-1_111084_2024-04-04_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