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
2013-09-09 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-09-09_final
2013-09-29 09:54:16	ga_ls8c_ard_3-0-0_095087_2013-09-29_final
2015-05-07 09:40:08	ga_ls8c_ard_3-0-0_094074_2015-05-07_final
2016-01-25 09:44:29	ga_ls8c_ard_3-0-0_095067_2016-01-25_final
2016-06-01 09:50:03	ga_ls8c_ard_3-0-0_095082_2016-06-01_final
2016-06-10 09:44:42	ga_ls8c_ard_3-0-0_094084_2016-06-10_final
2016-12-29 11:58:49	ga_ls8c_ard_3-0-0_116078_2016-12-29_final
2017-12-06 09:40:46	ga_ls8c_ard_3-0-0_094073_2017-12-06_final
2017-12-13 09:50:33	ga_ls8c_ard_3-0-0_095082_2017-12-13_final
2018-09-27 09:50:06	ga_ls8c_ard_3-0-0_095082_2018-09-27_final
2019-05-02 09:39:15	ga_ls8c_ard_3-0-0_094071_2019-05-02_final
2019-09-14 09:50:40	ga_ls8c_ard_3-1-0_095082_2019-09-14_final
2020-03-08 09:50:42	ga_ls8c_ard_3-1-0_095083_2020-03-08_final
2020-05-20 09:44:27	ga_ls8c_ard_3-1-0_094084_2020-05-20_final
2020-05-20 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-20_final
2020-11-19 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-11-19_final
2021-03-13 09:34:43	ga_ls8c_ard_3-2-0_093074_2021-03-13_final
2021-04-01 10:04:43	ga_ls8c_ard_3-2-0_098072_2021-04-01_final
2021-05-09 11:10:39	ga_ls8c_ard_3-2-0_108083_2021-05-09_final
2021-06-03 11:03:31	ga_ls8c_ard_3-2-0_107080_2021-06-03_final
2021-06-05 09:12:17	ga_ls8c_ard_3-2-0_089080_2021-06-04_final
2021-06-10 09:34:27	ga_ls8c_ard_3-2-0_092089_2021-06-10_final
2021-06-21 10:48:28	ga_ls8c_ard_3-2-0_105073_2021-06-21_final
2021-06-28 10:53:28	ga_ls8c_ard_3-2-0_106070_2021-06-28_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-07 10:46:55	ga_ls8c_ard_3-2-0_105069_2021-07-07_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-15 11:41:09	ga_ls8c_ard_3-2-0_113081_2021-07-15_final
2021-07-20 10:18:51	ga_ls8c_ard_3-2-0_100076_2021-07-20_final
2021-08-02 11:23:45	ga_ls8c_ard_3-2-0_111068_2021-08-02_final
2021-08-21 10:22:16	ga_ls8c_ard_3-2-0_100084_2021-08-21_final
2021-08-31 09:20:55	ga_ls8c_ard_3-2-0_090085_2021-08-30_final
2021-09-05 09:39:29	ga_ls8c_ard_3-2-0_093085_2021-09-05_final
2021-09-23 11:00:28	ga_ls8c_ard_3-2-0_107071_2021-09-23_final
2021-10-18 10:54:49	ga_ls8c_ard_3-2-0_106072_2021-10-18_final
2021-10-28 11:31:54	ga_ls8c_ard_3-2-0_112072_2021-10-28_final
2021-10-30 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-30_final
2021-11-07 10:30:52	ga_ls8c_ard_3-2-0_102074_2021-11-07_final
2021-11-20 11:41:11	ga_ls8c_ard_3-2-0_113080_2021-11-20_final
2021-11-24 09:35:11	ga_ls8c_ard_3-2-0_093074_2021-11-24_final
2021-11-24 11:12:29	ga_ls8c_ard_3-2-0_109070_2021-11-24_final
2021-11-27 10:03:42	ga_ls8c_ard_3-2-0_098068_2021-11-27_final
2022-01-06 10:53:26	ga_ls8c_ard_3-2-1_106069_2022-01-06_final
2022-01-23 09:59:44	ga_ls8c_ard_3-2-1_097074_2022-01-23_final
2022-03-11 10:53:34	ga_ls8c_ard_3-2-1_106070_2022-03-11_final
2022-03-23 11:22:32	ga_ls8c_ard_3-2-1_110081_2022-03-23_final
2022-04-07 10:39:37	ga_ls8c_ard_3-2-1_103082_2022-04-07_final
2022-05-10 11:18:12	ga_ls8c_ard_3-2-1_110070_2022-05-10_final
2022-05-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-05-17_final
2022-06-13 11:08:30	ga_ls8c_ard_3-2-1_108076_2022-06-13_final
2022-08-02 09:21:31	ga_ls8c_ard_3-2-1_090086_2022-08-01_final
2022-08-03 11:40:05	ga_ls8c_ard_3-2-1_113077_2022-08-03_final
2022-08-06 10:30:56	ga_ls8c_ard_3-2-1_102074_2022-08-06_final
2022-08-16 09:31:35	ga_ls8c_ard_3-2-1_092080_2022-08-16_final
2022-08-18 09:23:13	ga_ls8c_ard_3-2-1_090090_2022-08-17_final
2022-08-19 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-08-19_final
2022-08-30 09:45:09	ga_ls8c_ard_3-2-1_094083_2022-08-30_final
2022-09-02 10:10:51	ga_ls8c_ard_3-2-1_099070_2022-09-02_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-09-17 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-09-16_final
2022-10-08 09:47:47	ga_ls8c_ard_3-2-1_095074_2022-10-08_final
2022-10-16 10:35:10	ga_ls8c_ard_3-2-1_103069_2022-10-16_final
2022-11-20 11:07:16	ga_ls8c_ard_3-2-1_108072_2022-11-20_final
2023-01-02 09:14:56	ga_ls8c_ard_3-2-1_089085_2023-01-01_final
2023-01-08 11:51:36	ga_ls8c_ard_3-2-1_115075_2023-01-08_final
2023-01-11 10:41:12	ga_ls8c_ard_3-2-1_104069_2023-01-11_final
2023-01-26 09:58:44	ga_ls8c_ard_3-2-1_097071_2023-01-26_final
2023-02-15 11:12:48	ga_ls8c_ard_3-2-1_109071_2023-02-15_final
2023-02-17 11:00:24	ga_ls8c_ard_3-2-1_107071_2023-02-17_final
2023-03-16 10:40:23	ga_ls8c_ard_3-2-1_104068_2023-03-16_final
2023-03-17 11:25:14	ga_ls8c_ard_3-2-1_111072_2023-03-17_final
2023-04-01 10:42:12	ga_ls8c_ard_3-2-1_104073_2023-04-01_final
2023-04-21 10:18:25	ga_ls8c_ard_3-2-1_100076_2023-04-21_final
2023-04-21 10:21:12	ga_ls8c_ard_3-2-1_100083_2023-04-21_final
2023-05-09 10:03:30	ga_ls8c_ard_3-2-1_098070_2023-05-09_final
2023-05-25 10:09:26	ga_ls8c_ard_3-2-1_098085_2023-05-25_final
2023-05-27 09:51:30	ga_ls8c_ard_3-2-1_096071_2023-05-27_final
2023-06-02 09:20:48	ga_ls8c_ard_3-2-1_090087_2023-06-01_final
2023-06-02 10:54:06	ga_ls8c_ard_3-2-1_106073_2023-06-02_final
2023-06-07 09:34:14	ga_ls8c_ard_3-2-1_093074_2023-06-07_final
2023-06-11 09:12:45	ga_ls8c_ard_3-2-1_089082_2023-06-10_final
2023-06-17 10:10:35	ga_ls8c_ard_3-2-1_099072_2023-06-17_final
2023-06-23 11:12:48	ga_ls8c_ard_3-2-1_109073_2023-06-23_final
2023-07-05 09:57:13	ga_ls8c_ard_3-2-1_097069_2023-07-05_final
2023-07-19 10:15:13	ga_ls8c_ard_3-2-1_099083_2023-07-19_final
2023-08-24 11:25:17	ga_ls8c_ard_3-2-1_111072_2023-08-24_final
2023-09-12 10:21:43	ga_ls8c_ard_3-2-1_100083_2023-09-12_final
2023-10-17 10:48:46	ga_ls8c_ard_3-2-1_105073_2023-10-17_final
2023-10-24 09:20:52	ga_ls8c_ard_3-2-1_090085_2023-10-23_final
2023-10-26 09:06:32	ga_ls8c_ard_3-2-1_088080_2023-10-25_final
2023-12-12 11:41:00	ga_ls8c_ard_3-2-1_113080_2023-12-12_final
2023-12-15 10:29:27	ga_ls8c_ard_3-2-1_102071_2023-12-15_final
2023-12-16 09:40:14	ga_ls8c_ard_3-2-1_093087_2023-12-16_final
2024-01-01 11:13:27	ga_ls8c_ard_3-2-1_109073_2024-01-01_final
2024-01-06 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-06_final
2024-02-01 10:30:55	ga_ls8c_ard_3-2-1_102075_2024-02-01_final
2024-02-06 10:52:18	ga_ls8c_ard_3-2-1_105082_2024-02-06_final
2024-02-26 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-02-26_final
2024-02-26 10:27:54	ga_ls8c_ard_3-2-1_101083_2024-02-26_final
2024-03-23 09:26:35	ga_ls8c_ard_3-2-1_091085_2024-03-22_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