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
2021-06-08 09:44:48	ga_ls8c_ard_3-2-0_094084_2021-06-08_final
2021-06-23 10:35:43	ga_ls8c_ard_3-2-0_103072_2021-06-23_final
2021-07-05 09:22:23	ga_ls8c_ard_3-2-0_091074_2021-07-04_final
2021-07-08 09:50:30	ga_ls8c_ard_3-2-0_096067_2021-07-08_final
2021-07-10 11:17:49	ga_ls8c_ard_3-2-0_110069_2021-07-10_final
2021-07-11 10:27:23	ga_ls8c_ard_3-2-0_101082_2021-07-11_final
2021-07-18 10:33:11	ga_ls8c_ard_3-2-0_102081_2021-07-18_final
2021-07-26 11:17:55	ga_ls8c_ard_3-2-0_110069_2021-07-26_final
2021-08-28 10:26:05	ga_ls8c_ard_3-2-0_101078_2021-08-28_final
2021-10-05 11:24:04	ga_ls8c_ard_3-2-0_111068_2021-10-05_final
2021-10-18 10:53:13	ga_ls8c_ard_3-2-0_106068_2021-10-18_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-11-05 10:46:26	ga_ls8c_ard_3-2-0_104082_2021-11-05_final
2021-11-06 11:24:06	ga_ls8c_ard_3-2-0_111068_2021-11-06_final
2021-11-27 11:47:47	ga_ls8c_ard_3-2-0_114081_2021-11-27_final
2021-12-12 11:01:43	ga_ls8c_ard_3-2-1_107074_2021-12-12_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2021-12-28 11:00:02	ga_ls8c_ard_3-2-1_107070_2021-12-28_final
2021-12-30 10:47:40	ga_ls8c_ard_3-2-1_105070_2021-12-30_final
2021-12-31 11:31:43	ga_ls8c_ard_3-2-1_112072_2021-12-31_final
2022-01-04 09:34:30	ga_ls8c_ard_3-2-1_092088_2022-01-04_final
2022-01-21 10:12:55	ga_ls8c_ard_3-2-1_099076_2022-01-21_final
2022-02-06 10:11:15	ga_ls8c_ard_3-2-1_099072_2022-02-06_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-04-02 11:57:55	ga_ls8c_ard_3-2-1_116077_2022-04-02_final
2022-04-02 11:58:19	ga_ls8c_ard_3-2-1_116078_2022-04-02_final
2022-04-07 10:35:38	ga_ls8c_ard_3-2-1_103072_2022-04-07_final
2022-04-17 09:34:17	ga_ls8c_ard_3-2-1_093073_2022-04-17_final
2022-04-26 09:32:26	ga_ls8c_ard_3-2-1_092084_2022-04-26_final
2022-04-27 10:09:18	ga_ls8c_ard_3-2-1_099068_2022-04-27_final
2022-05-19 09:39:58	ga_ls8c_ard_3-2-1_093087_2022-05-19_final
2022-06-08 09:16:36	ga_ls8c_ard_3-2-1_089090_2022-06-07_final
2022-06-08 10:49:54	ga_ls8c_ard_3-2-1_105076_2022-06-08_final
2022-06-13 09:28:49	ga_ls8c_ard_3-2-1_092074_2022-06-12_final
2022-06-20 09:40:14	ga_ls8c_ard_3-2-1_093087_2022-06-20_final
2022-07-01 09:22:32	ga_ls8c_ard_3-2-1_090089_2022-06-30_final
2022-07-04 11:25:08	ga_ls8c_ard_3-2-1_111071_2022-07-04_final
2022-07-25 10:03:18	ga_ls8c_ard_3-2-1_098067_2022-07-25_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-08-05 11:25:21	ga_ls8c_ard_3-2-1_111071_2022-08-05_final
2022-08-14 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-08-14_final
2022-08-16 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-08-15_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-09-06 11:26:15	ga_ls8c_ard_3-2-1_111073_2022-09-06_final
2022-09-19 09:17:45	ga_ls8c_ard_3-2-1_090076_2022-09-18_final
2022-09-26 09:23:32	ga_ls8c_ard_3-2-1_091075_2022-09-25_final
2022-09-27 10:05:12	ga_ls8c_ard_3-2-1_098071_2022-09-27_final
2022-09-29 09:58:01	ga_ls8c_ard_3-2-1_096084_2022-09-29_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-11-18 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-11-18_final
2022-11-19 10:28:24	ga_ls8c_ard_3-2-1_101083_2022-11-19_final
2022-11-21 10:14:51	ga_ls8c_ard_3-2-1_099080_2022-11-21_final
2022-11-21 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-11-21_final
2022-12-06 09:29:37	ga_ls8c_ard_3-2-1_092075_2022-12-05_final
2022-12-13 11:12:14	ga_ls8c_ard_3-2-1_109069_2022-12-13_final
2022-12-15 11:00:15	ga_ls8c_ard_3-2-1_107070_2022-12-15_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-01-24 11:51:34	ga_ls8c_ard_3-2-1_115075_2023-01-24_final
2023-02-02 11:47:48	ga_ls8c_ard_3-2-1_114081_2023-02-02_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-02-12 10:46:19	ga_ls8c_ard_3-2-1_104082_2023-02-12_final
2023-02-18 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-02-18_final
2023-02-20 11:32:26	ga_ls8c_ard_3-2-1_112074_2023-02-20_final
2023-02-26 09:20:45	ga_ls8c_ard_3-2-1_090085_2023-02-25_final
2023-03-07 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-03-06_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-12 09:33:50	ga_ls8c_ard_3-2-1_092087_2023-03-12_final
2023-03-16 09:07:05	ga_ls8c_ard_3-2-1_088082_2023-03-15_final
2023-03-26 11:20:56	ga_ls8c_ard_3-2-1_110077_2023-03-26_final
2023-04-07 10:07:00	ga_ls8c_ard_3-2-1_098078_2023-04-07_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-06-16 09:28:31	ga_ls8c_ard_3-2-1_092075_2023-06-15_final
2023-06-19 11:41:30	ga_ls8c_ard_3-2-1_113083_2023-06-19_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-06-27 09:15:39	ga_ls8c_ard_3-2-1_089089_2023-06-26_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-07-25 11:11:30	ga_ls8c_ard_3-2-1_109069_2023-07-25_final
2023-08-21 09:22:16	ga_ls8c_ard_3-2-1_090089_2023-08-20_final
2023-08-24 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-08-24_final
2023-08-28 09:28:28	ga_ls8c_ard_3-2-1_091089_2023-08-27_final
2023-09-04 09:34:14	ga_ls8c_ard_3-2-1_092088_2023-09-04_final
2023-09-09 09:46:24	ga_ls8c_ard_3-2-1_095072_2023-09-09_final
2023-09-13 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-09-12_final
2023-10-06 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-10-05_final
2023-11-28 09:47:26	ga_ls8c_ard_3-2-1_095074_2023-11-28_final
2023-11-29 10:33:29	ga_ls8c_ard_3-2-1_102081_2023-11-29_final
2023-12-02 11:01:33	ga_ls8c_ard_3-2-1_107074_2023-12-02_final
2023-12-04 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-12-03_final
2023-12-04 09:14:15	ga_ls8c_ard_3-2-1_089084_2023-12-03_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-21 10:46:18	ga_ls8c_ard_3-2-1_105067_2024-01-21_final
2024-02-12 11:52:30	ga_ls8c_ard_3-2-1_115078_2024-02-12_final
2024-02-18 09:35:18	ga_ls8c_ard_3-2-1_093075_2024-02-18_final
2024-02-19 10:18:58	ga_ls8c_ard_3-2-1_100076_2024-02-19_final
2024-02-25 09:39:52	ga_ls8c_ard_3-2-1_094071_2024-02-25_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