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
2021-04-25 09:17:06	ga_ls8c_ard_3-2-0_090077_2021-04-24_final
2021-05-07 11:22:59	ga_ls8c_ard_3-2-0_110083_2021-05-07_final
2021-06-04 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-06-04_final
2021-06-17 11:11:34	ga_ls8c_ard_3-2-0_109069_2021-06-17_final
2021-06-20 10:09:35	ga_ls8c_ard_3-2-0_098084_2021-06-20_final
2021-06-24 09:40:54	ga_ls8c_ard_3-2-0_094074_2021-06-24_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-17 11:28:00	ga_ls8c_ard_3-2-0_111079_2021-07-17_final
2021-08-02 11:26:09	ga_ls8c_ard_3-2-0_111074_2021-08-02_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-16 10:03:42	ga_ls8c_ard_3-2-0_097084_2021-08-16_final
2021-08-22 10:59:57	ga_ls8c_ard_3-2-0_107070_2021-08-22_final
2021-09-21 11:15:13	ga_ls8c_ard_3-2-0_109077_2021-09-21_final
2021-10-01 10:14:16	ga_ls8c_ard_3-2-0_099079_2021-10-01_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2021-10-16 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-10-16_final
2021-11-19 09:19:25	ga_ls8c_ard_3-2-0_090081_2021-11-18_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-11-29 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-29_final
2021-12-04 10:09:30	ga_ls8c_ard_3-2-0_099067_2021-12-04_final
2021-12-08 11:24:51	ga_ls8c_ard_3-2-1_111070_2021-12-08_final
2021-12-16 10:36:11	ga_ls8c_ard_3-2-1_103072_2021-12-16_final
2021-12-18 10:24:13	ga_ls8c_ard_3-2-1_101073_2021-12-18_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-29 10:07:36	ga_ls8c_ard_3-2-1_098078_2021-12-29_final
2022-01-24 10:45:23	ga_ls8c_ard_3-2-1_104080_2022-01-24_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-02-26 11:26:07	ga_ls8c_ard_3-2-1_111074_2022-02-26_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-03-21 11:36:07	ga_ls8c_ard_3-2-1_112084_2022-03-21_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-03-30 11:25:01	ga_ls8c_ard_3-2-1_111072_2022-03-30_final
2022-04-11 10:09:21	ga_ls8c_ard_3-2-1_099068_2022-04-11_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-30 10:45:47	ga_ls8c_ard_3-2-1_104082_2022-04-30_final
2022-05-12 11:09:27	ga_ls8c_ard_3-2-1_108079_2022-05-12_final
2022-05-29 10:09:28	ga_ls8c_ard_3-2-1_099068_2022-05-29_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-09 09:57:53	ga_ls8c_ard_3-2-1_096085_2022-06-09_final
2022-06-18 11:26:17	ga_ls8c_ard_3-2-1_111074_2022-06-18_final
2022-06-24 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-06-24_final
2022-07-08 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-07-07_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-08-29 10:34:47	ga_ls8c_ard_3-2-1_103068_2022-08-29_final
2022-09-27 10:10:47	ga_ls8c_ard_3-2-1_098085_2022-09-27_final
2022-09-28 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-09-28_final
2022-10-06 10:01:45	ga_ls8c_ard_3-2-1_097078_2022-10-06_final
2022-10-20 10:13:41	ga_ls8c_ard_3-2-1_099077_2022-10-20_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-23 10:15:53	ga_ls8c_ard_3-2-1_099083_2022-12-23_final
2022-12-26 10:46:25	ga_ls8c_ard_3-2-1_104082_2022-12-26_final
2022-12-28 10:29:16	ga_ls8c_ard_3-2-1_102070_2022-12-28_final
2023-01-13 10:28:25	ga_ls8c_ard_3-2-1_102068_2023-01-13_final
2023-01-21 09:40:33	ga_ls8c_ard_3-2-1_094072_2023-01-21_final
2023-01-23 09:32:36	ga_ls8c_ard_3-2-1_092083_2023-01-23_final
2023-01-24 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-01-24_final
2023-01-25 09:22:15	ga_ls8c_ard_3-2-1_090088_2023-01-24_final
2023-02-09 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-02-09_final
2023-02-17 11:01:36	ga_ls8c_ard_3-2-1_107074_2023-02-17_final
2023-03-10 11:18:17	ga_ls8c_ard_3-2-1_110070_2023-03-10_final
2023-03-14 09:20:16	ga_ls8c_ard_3-2-1_090084_2023-03-13_final
2023-03-24 09:57:12	ga_ls8c_ard_3-2-1_096084_2023-03-24_final
2023-04-08 10:49:26	ga_ls8c_ard_3-2-1_105076_2023-04-08_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_final
2023-04-20 09:33:33	ga_ls8c_ard_3-2-1_093072_2023-04-20_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-05-02 10:01:01	ga_ls8c_ard_3-2-1_097079_2023-05-02_final
2023-05-10 10:48:20	ga_ls8c_ard_3-2-1_105074_2023-05-10_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-05-11 11:31:35	ga_ls8c_ard_3-2-1_112074_2023-05-11_final
2023-05-17 10:52:03	ga_ls8c_ard_3-2-1_106068_2023-05-17_final
2023-05-26 10:48:43	ga_ls8c_ard_3-2-1_105075_2023-05-26_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-07-27 09:21:28	ga_ls8c_ard_3-2-1_091072_2023-07-26_final
2023-09-07 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-09-07_final
2023-10-01 09:16:14	ga_ls8c_ard_3-2-1_089089_2023-09-30_final
2023-10-04 11:18:02	ga_ls8c_ard_3-2-1_110069_2023-10-04_final
2023-11-08 11:52:57	ga_ls8c_ard_3-2-1_115079_2023-11-08_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2023-11-18 10:48:02	ga_ls8c_ard_3-2-1_105071_2023-11-18_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2023-12-15 10:28:15	ga_ls8c_ard_3-2-1_102068_2023-12-15_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2023-12-27 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-12-27_final
2024-01-04 10:04:14	ga_ls8c_ard_3-2-1_098070_2024-01-04_final
2024-01-07 10:34:20	ga_ls8c_ard_3-2-1_103068_2024-01-07_final
2024-01-11 10:13:14	ga_ls8c_ard_3-2-1_099077_2024-01-11_final
2024-01-12 10:54:07	ga_ls8c_ard_3-2-1_106071_2024-01-12_final
2024-01-14 10:42:57	ga_ls8c_ard_3-2-1_104074_2024-01-14_final
2024-01-15 09:47:20	ga_ls8c_ard_3-2-1_095074_2024-01-15_final
2024-01-15 09:52:07	ga_ls8c_ard_3-2-1_095086_2024-01-15_final
2024-01-18 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-18_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-20 09:28:56	ga_ls8c_ard_3-2-1_091090_2024-02-19_final
2024-02-20 10:59:50	ga_ls8c_ard_3-2-1_107070_2024-02-20_final
2024-02-23 09:51:50	ga_ls8c_ard_3-2-1_096070_2024-02-23_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