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
2013-07-30 10:21:42	ga_ls8c_ard_3-0-0_100078_2013-07-30_final
2013-09-22 11:25:25	ga_ls8c_ard_3-0-0_110083_2013-09-22_final
2014-01-09 09:17:23	ga_ls8c_ard_3-0-0_089089_2014-01-08_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2014-06-23 11:05:40	ga_ls8c_ard_3-0-0_108070_2014-06-23_final
2014-09-25 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-09-25_final
2014-12-01 10:10:55	ga_ls8c_ard_3-0-0_099071_2014-12-01_final
2015-04-24 10:09:16	ga_ls8c_ard_3-0-0_099069_2015-04-24_final
2015-06-23 10:39:09	ga_ls8c_ard_3-0-0_103082_2015-06-23_final
2015-07-15 11:35:12	ga_ls8c_ard_3-0-0_113067_2015-07-15_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2016-02-06 10:13:32	ga_ls8c_ard_3-0-0_099078_2016-02-06_final
2016-07-08 11:44:56	ga_ls8c_ard_3-0-0_114075_2016-07-08_final
2016-08-16 10:10:00	ga_ls8c_ard_3-0-0_099069_2016-08-16_final
2016-10-18 09:32:59	ga_ls8c_ard_3-0-0_092084_2016-10-18_final
2016-11-01 11:18:16	ga_ls8c_ard_3-0-0_110069_2016-11-01_final
2017-01-09 09:57:21	ga_ls8c_ard_3-0-0_097068_2017-01-09_final
2017-01-11 11:24:40	ga_ls8c_ard_3-0-0_111070_2017-01-11_final
2017-01-15 09:22:14	ga_ls8c_ard_3-0-0_091073_2017-01-14_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-03-14 11:40:58	ga_ls8c_ard_3-0-0_113081_2017-03-14_final
2017-03-25 11:17:32	ga_ls8c_ard_3-0-0_110069_2017-03-25_final
2017-05-15 10:09:21	ga_ls8c_ard_3-0-0_099069_2017-05-15_final
2017-10-19 09:43:43	ga_ls8c_ard_3-0-0_094080_2017-10-19_final
2018-02-27 10:14:02	ga_ls8c_ard_3-0-0_099080_2018-02-27_final
2018-04-04 09:46:13	ga_ls8c_ard_3-0-0_095073_2018-04-04_final
2018-05-11 10:08:48	ga_ls8c_ard_3-0-0_098084_2018-05-11_final
2018-05-29 11:30:18	ga_ls8c_ard_3-0-0_112072_2018-05-29_final
2018-06-10 11:56:37	ga_ls8c_ard_3-0-0_116076_2018-06-10_final
2018-06-28 10:06:22	ga_ls8c_ard_3-0-0_098078_2018-06-28_final
2018-10-25 11:52:41	ga_ls8c_ard_3-0-0_115079_2018-10-25_final
2018-11-07 11:19:50	ga_ls8c_ard_3-0-0_110074_2018-11-07_final
2018-11-10 10:13:03	ga_ls8c_ard_3-0-0_099077_2018-11-10_final
2018-11-22 10:35:47	ga_ls8c_ard_3-0-0_103072_2018-11-22_final
2018-11-28 11:35:35	ga_ls8c_ard_3-0-0_113067_2018-11-28_final
2018-12-13 10:53:51	ga_ls8c_ard_3-0-0_106071_2018-12-13_final
2018-12-16 11:24:45	ga_ls8c_ard_3-0-0_111071_2018-12-16_final
2019-04-12 11:41:19	ga_ls8c_ard_3-1-0_114067_2019-04-12_final
2019-06-12 09:33:51	ga_ls8c_ard_3-1-0_093072_2019-06-12_final
2019-10-01 10:28:25	ga_ls8c_ard_3-1-0_102068_2019-10-01_final
2019-10-09 09:40:12	ga_ls8c_ard_3-1-0_094071_2019-10-09_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2020-01-14 10:23:16	ga_ls8c_ard_3-1-0_101071_2020-01-14_final
2020-03-20 10:10:09	ga_ls8c_ard_3-1-0_099070_2020-03-20_final
2020-03-26 11:13:53	ga_ls8c_ard_3-1-0_109075_2020-03-26_final
2020-03-28 11:04:42	ga_ls8c_ard_3-1-0_107083_2020-03-28_final
2020-04-07 10:03:36	ga_ls8c_ard_3-1-0_097085_2020-04-07_final
2020-04-16 11:30:16	ga_ls8c_ard_3-1-0_112070_2020-04-16_final
2020-08-04 10:07:18	ga_ls8c_ard_3-1-0_098078_2020-08-04_final
2020-08-11 10:09:54	ga_ls8c_ard_3-1-0_099069_2020-08-11_final
2020-09-02 11:12:41	ga_ls8c_ard_3-1-0_109071_2020-09-02_final
2020-09-30 09:59:04	ga_ls8c_ard_3-1-0_097072_2020-09-30_final
2020-11-16 09:22:11	ga_ls8c_ard_3-1-0_090088_2020-11-15_final
2020-11-20 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-11-20_final
2021-01-18 10:11:16	ga_ls8c_ard_3-2-0_099072_2021-01-18_final
2021-01-20 11:38:35	ga_ls8c_ard_3-2-0_113074_2021-01-20_final
2021-03-02 11:36:14	ga_ls8c_ard_3-2-0_112084_2021-03-02_final
2021-03-11 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-03-11_final
2021-03-12 10:28:45	ga_ls8c_ard_3-2-0_102070_2021-03-12_final
2021-06-19 11:04:01	ga_ls8c_ard_3-2-0_107081_2021-06-19_final
2021-06-21 10:50:28	ga_ls8c_ard_3-2-0_105078_2021-06-21_final
2021-07-05 11:02:04	ga_ls8c_ard_3-2-0_107076_2021-07-05_final
2021-07-13 10:15:25	ga_ls8c_ard_3-2-0_099083_2021-07-13_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_final
2021-12-26 09:34:44	ga_ls8c_ard_3-2-1_093073_2021-12-26_final
2022-01-06 10:54:14	ga_ls8c_ard_3-2-1_106071_2022-01-06_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-04-27 10:14:05	ga_ls8c_ard_3-2-1_099080_2022-04-27_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-26 09:40:09	ga_ls8c_ard_3-2-1_094072_2022-05-26_final
2022-06-02 09:46:01	ga_ls8c_ard_3-2-1_095071_2022-06-02_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-12-07 10:10:29	ga_ls8c_ard_3-2-1_099069_2022-12-07_final
2022-12-15 09:28:09	ga_ls8c_ard_3-2-1_091087_2022-12-14_final
2023-01-16 11:00:28	ga_ls8c_ard_3-2-1_107071_2023-01-16_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-03-13 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-03-13_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-08-18 10:27:26	ga_ls8c_ard_3-2-1_101082_2023-08-18_final
2023-09-22 10:54:27	ga_ls8c_ard_3-2-1_106072_2023-09-22_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-11-10 09:58:05	ga_ls8c_ard_3-2-1_097070_2023-11-10_final
2023-12-16 11:17:07	ga_ls8c_ard_3-2-1_109082_2023-12-16_final
2023-12-26 10:12:55	ga_ls8c_ard_3-2-1_099076_2023-12-26_final
2024-01-17 11:13:27	ga_ls8c_ard_3-2-1_109073_2024-01-17_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-02-19 10:16:58	ga_ls8c_ard_3-2-1_100071_2024-02-19_final
2024-02-22 09:11:46	ga_ls8c_ard_3-2-1_089078_2024-02-21_final
2024-02-23 11:32:19	ga_ls8c_ard_3-2-1_112074_2024-02-23_final
2024-03-05 09:40:20	ga_ls8c_ard_3-2-1_093088_2024-03-05_final
2024-03-10 11:31:19	ga_ls8c_ard_3-2-1_112072_2024-03-10_final
2024-03-23 09:22:36	ga_ls8c_ard_3-2-1_091075_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years