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
2014-01-10 11:33:08	ga_ls8c_ard_3-0-0_112073_2014-01-10_final
2014-02-20 09:45:13	ga_ls8c_ard_3-0-0_095067_2014-02-20_final
2014-03-15 11:36:46	ga_ls8c_ard_3-0-0_112084_2014-03-15_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2015-12-15 11:32:00	ga_ls8c_ard_3-0-0_112073_2015-12-15_final
2016-02-09 09:06:44	ga_ls8c_ard_3-1-0_088081_2016-02-08_final
2016-04-14 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-14_final
2017-11-04 09:40:07	ga_ls8c_ard_3-0-0_094071_2017-11-04_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-04-29 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-04-29_final
2018-06-06 09:05:07	ga_ls8c_ard_3-0-0_088080_2018-06-05_final
2018-09-20 09:37:52	ga_ls8c_ard_3-0-0_094067_2018-09-20_final
2018-09-26 09:06:26	ga_ls8c_ard_3-1-0_088081_2018-09-25_final
2018-10-06 09:38:00	ga_ls8c_ard_3-0-0_094067_2018-10-06_final
2019-02-27 11:18:00	ga_ls8c_ard_3-0-0_110070_2019-02-27_final
2019-05-25 09:44:05	ga_ls8c_ard_3-0-0_095067_2019-05-25_final
2019-09-21 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-09-21_final
2019-10-09 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-10-09_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-11-29 11:53:07	ga_ls8c_ard_3-1-0_115079_2019-11-29_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-04-08 09:06:47	ga_ls8c_ard_3-1-0_088082_2020-04-07_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-05-20 09:39:16	ga_ls8c_ard_3-1-0_094071_2020-05-20_final
2020-12-08 11:57:44	ga_ls8c_ard_3-1-0_116075_2020-12-08_final
2021-04-11 09:06:27	ga_ls8c_ard_3-2-0_088081_2021-04-10_final
2021-04-12 11:23:24	ga_ls8c_ard_3-2-0_111068_2021-04-12_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-06-03 09:27:02	ga_ls8c_ard_3-2-0_091086_2021-06-02_final
2021-06-15 11:29:31	ga_ls8c_ard_3-2-0_111083_2021-06-15_final
2021-06-18 10:21:33	ga_ls8c_ard_3-2-0_100083_2021-06-18_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-07-03 09:33:33	ga_ls8c_ard_3-2-0_093071_2021-07-03_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-11 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-08-11_final
2021-08-30 10:14:08	ga_ls8c_ard_3-2-0_099079_2021-08-30_final
2021-11-03 09:22:42	ga_ls8c_ard_3-2-0_090089_2021-11-02_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2021-11-27 10:04:54	ga_ls8c_ard_3-2-0_098071_2021-11-27_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-14 10:50:09	ga_ls8c_ard_3-2-1_105076_2021-12-14_final
2022-01-14 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-01-14_final
2022-01-24 10:40:36	ga_ls8c_ard_3-2-1_104068_2022-01-24_final
2022-01-31 09:11:51	ga_ls8c_ard_3-2-1_089078_2022-01-30_final
2022-02-07 10:58:54	ga_ls8c_ard_3-2-1_106083_2022-02-07_final
2022-02-12 11:14:13	ga_ls8c_ard_3-2-1_109075_2022-02-12_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-02-20 10:25:30	ga_ls8c_ard_3-2-1_101077_2022-02-20_final
2022-02-23 09:20:43	ga_ls8c_ard_3-2-1_090085_2022-02-22_final
2022-02-28 11:14:09	ga_ls8c_ard_3-2-1_109075_2022-02-28_final
2022-03-11 10:53:10	ga_ls8c_ard_3-2-1_106069_2022-03-11_final
2022-03-18 09:27:34	ga_ls8c_ard_3-2-1_091087_2022-03-17_final
2022-03-26 10:12:55	ga_ls8c_ard_3-2-1_099077_2022-03-26_final
2022-04-06 09:57:33	ga_ls8c_ard_3-2-1_096085_2022-04-06_final
2022-04-08 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-08_final
2022-04-18 10:19:32	ga_ls8c_ard_3-2-1_100078_2022-04-18_final
2022-05-13 10:10:14	ga_ls8c_ard_3-2-1_099070_2022-05-13_final
2022-05-15 11:42:22	ga_ls8c_ard_3-2-1_113084_2022-05-15_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-06-23 10:03:10	ga_ls8c_ard_3-2-1_098067_2022-06-23_final
2022-06-30 10:10:34	ga_ls8c_ard_3-2-1_099070_2022-06-30_final
2022-07-01 09:22:56	ga_ls8c_ard_3-2-1_090090_2022-06-30_final
2022-07-20 11:29:58	ga_ls8c_ard_3-2-1_111083_2022-07-20_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-11-09 11:26:42	ga_ls8c_ard_3-2-1_111074_2022-11-09_final
2022-11-11 09:35:02	ga_ls8c_ard_3-2-1_093073_2022-11-11_final
2022-12-07 10:10:29	ga_ls8c_ard_3-2-1_099069_2022-12-07_final
2022-12-15 11:05:26	ga_ls8c_ard_3-2-1_107083_2022-12-15_final
2023-01-03 09:53:00	ga_ls8c_ard_3-2-1_096072_2023-01-03_final
2023-01-08 10:11:07	ga_ls8c_ard_3-2-1_099071_2023-01-08_final
2023-01-30 11:12:07	ga_ls8c_ard_3-2-1_109069_2023-01-30_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-07 10:08:59	ga_ls8c_ard_3-2-1_098083_2023-04-07_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-05-07 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-05-07_final
2023-05-07 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-05-07_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-15 09:28:44	ga_ls8c_ard_3-2-1_092076_2023-05-14_final
2023-06-03 09:56:53	ga_ls8c_ard_3-2-1_097069_2023-06-03_final
2023-06-17 10:13:23	ga_ls8c_ard_3-2-1_099079_2023-06-17_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-08-20 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-08-20_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-09-09 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-09-09_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-10-20 09:39:58	ga_ls8c_ard_3-2-1_094071_2023-10-20_final
2023-12-12 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-12-12_final
2024-01-18 10:17:49	ga_ls8c_ard_3-2-1_100073_2024-01-18_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-02-26 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-02-26_final
2024-03-15 10:13:45	ga_ls8c_ard_3-2-1_099079_2024-03-15_final
2024-03-28 09:39:49	ga_ls8c_ard_3-2-1_094072_2024-03-28_final
2024-04-01 09:21:06	ga_ls8c_ard_3-2-1_090087_2024-03-31_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