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
2013-12-14 11:54:45	ga_ls8c_ard_3-0-0_115080_2013-12-14_final
2014-05-13 11:17:17	ga_ls8c_ard_3-0-0_109084_2014-05-13_final
2014-06-03 11:31:05	ga_ls8c_ard_3-0-0_112072_2014-06-03_final
2014-06-28 09:45:44	ga_ls8c_ard_3-0-0_095071_2014-06-28_final
2014-06-29 10:33:24	ga_ls8c_ard_3-0-0_102082_2014-06-29_final
2014-08-29 11:37:43	ga_ls8c_ard_3-0-0_113072_2014-08-29_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-11-25 10:49:59	ga_ls8c_ard_3-0-0_105076_2014-11-25_final
2015-01-03 10:55:37	ga_ls8c_ard_3-0-0_106075_2015-01-03_final
2015-03-29 11:13:35	ga_ls8c_ard_3-0-0_109075_2015-03-29_final
2015-04-11 09:06:54	ga_ls8c_ard_3-0-0_088083_2015-04-10_final
2015-06-05 10:48:35	ga_ls8c_ard_3-0-0_105075_2015-06-05_final
2015-06-27 11:52:33	ga_ls8c_ard_3-0-0_115080_2015-06-27_final
2015-07-10 11:19:00	ga_ls8c_ard_3-0-0_110073_2015-07-10_final
2015-08-08 10:49:02	ga_ls8c_ard_3-0-0_105075_2015-08-08_final
2015-08-15 10:55:17	ga_ls8c_ard_3-0-0_106075_2015-08-15_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2016-03-01 11:01:39	ga_ls8c_ard_3-0-0_107075_2016-03-01_final
2016-05-12 11:52:44	ga_ls8c_ard_3-0-0_115080_2016-05-12_final
2016-05-22 10:48:37	ga_ls8c_ard_3-0-0_105074_2016-05-22_final
2016-07-03 09:45:28	ga_ls8c_ard_3-0-0_095070_2016-07-03_final
2016-08-17 10:55:40	ga_ls8c_ard_3-0-0_106075_2016-08-17_final
2016-09-30 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-30_final
2017-02-21 09:39:44	ga_ls8c_ard_3-0-0_094071_2017-02-21_final
2017-03-07 11:29:41	ga_ls8c_ard_3-0-0_112068_2017-03-07_final
2017-05-25 10:48:56	ga_ls8c_ard_3-0-0_105075_2017-05-25_final
2017-08-13 10:49:50	ga_ls8c_ard_3-0-0_105076_2017-08-13_final
2017-08-30 11:29:58	ga_ls8c_ard_3-0-0_112068_2017-08-30_final
2017-09-23 09:07:43	ga_ls8c_ard_3-0-0_088083_2017-09-22_final
2017-10-12 11:18:00	ga_ls8c_ard_3-0-0_109084_2017-10-12_final
2017-10-14 11:05:15	ga_ls8c_ard_3-0-0_107083_2017-10-14_final
2017-11-23 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-11-23_final
2017-12-19 10:49:36	ga_ls8c_ard_3-0-0_105075_2017-12-19_final
2018-01-25 11:09:06	ga_ls8c_ard_3-0-0_108078_2018-01-25_final
2018-02-12 10:55:24	ga_ls8c_ard_3-0-0_106075_2018-02-12_final
2018-03-15 11:52:46	ga_ls8c_ard_3-0-0_115080_2018-03-15_final
2018-04-11 11:31:13	ga_ls8c_ard_3-0-0_112073_2018-04-11_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-09-07 11:52:47	ga_ls8c_ard_3-0-0_115080_2018-09-07_final
2018-09-23 11:52:52	ga_ls8c_ard_3-0-0_115080_2018-09-23_final
2018-10-22 09:39:42	ga_ls8c_ard_3-0-0_094071_2018-10-22_final
2018-10-29 11:24:00	ga_ls8c_ard_3-0-0_111069_2018-10-29_final
2018-12-04 11:01:16	ga_ls8c_ard_3-0-0_107074_2018-12-04_final
2019-02-25 11:31:10	ga_ls8c_ard_3-0-0_112072_2019-02-25_final
2019-07-21 11:23:04	ga_ls8c_ard_3-1-0_110082_2019-07-21_final
2019-08-10 10:56:05	ga_ls8c_ard_3-1-0_106076_2019-08-10_final
2019-11-21 11:02:05	ga_ls8c_ard_3-1-0_107075_2019-11-21_final
2019-12-25 10:52:27	ga_ls8c_ard_3-1-0_105082_2019-12-25_final
2020-01-02 11:38:40	ga_ls8c_ard_3-1-0_113074_2020-01-02_final
2020-01-13 11:19:41	ga_ls8c_ard_3-1-0_110073_2020-01-13_final
2020-02-25 11:05:21	ga_ls8c_ard_3-1-0_107084_2020-02-25_final
2020-03-05 10:55:31	ga_ls8c_ard_3-1-0_106075_2020-03-05_final
2020-06-18 10:51:28	ga_ls8c_ard_3-1-0_105081_2020-06-18_final
2020-07-19 11:47:19	ga_ls8c_ard_3-1-0_114081_2020-07-19_final
2020-08-24 11:23:59	ga_ls8c_ard_3-1-0_110084_2020-08-24_final
2020-09-18 11:17:11	ga_ls8c_ard_3-1-0_109082_2020-09-18_final
2020-10-17 10:44:45	ga_ls8c_ard_3-1-0_104078_2020-10-17_final
2021-02-19 11:53:15	ga_ls8c_ard_3-2-0_115080_2021-02-19_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-04-16 11:04:38	ga_ls8c_ard_3-2-0_107083_2021-04-16_final
2021-04-25 09:16:42	ga_ls8c_ard_3-2-0_090076_2021-04-24_final
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_2021-05-20_final
2021-05-30 11:25:49	ga_ls8c_ard_3-2-0_111074_2021-05-30_final
2021-06-08 11:23:41	ga_ls8c_ard_3-2-0_110084_2021-06-08_final
2021-06-11 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-06-11_final
2021-08-03 10:33:44	ga_ls8c_ard_3-2-0_102082_2021-08-03_final
2021-08-22 09:20:16	ga_ls8c_ard_3-2-0_091068_2021-08-21_final
2021-08-24 09:16:18	ga_ls8c_ard_3-2-0_089089_2021-08-23_final
2021-08-30 10:13:20	ga_ls8c_ard_3-2-0_099077_2021-08-30_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-30 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-09-30_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-05-12 11:10:15	ga_ls8c_ard_3-2-1_108081_2022-05-12_final
2022-07-29 11:18:18	ga_ls8c_ard_3-2-1_110069_2022-07-29_final
2022-09-12 10:50:25	ga_ls8c_ard_3-2-1_105076_2022-09-12_final
2022-09-19 10:56:38	ga_ls8c_ard_3-2-1_106076_2022-09-19_final
2022-10-21 10:56:34	ga_ls8c_ard_3-2-1_106076_2022-10-21_final
2022-11-17 10:37:34	ga_ls8c_ard_3-2-1_103075_2022-11-17_final
2022-12-31 09:26:29	ga_ls8c_ard_3-2-1_091083_2022-12-30_final
2023-01-21 09:41:21	ga_ls8c_ard_3-2-1_094074_2023-01-21_final
2023-02-13 09:50:41	ga_ls8c_ard_3-2-1_095082_2023-02-13_final
2023-03-13 10:13:06	ga_ls8c_ard_3-2-1_099077_2023-03-13_final
2023-03-14 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-03-14_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-07-11 09:26:10	ga_ls8c_ard_3-2-1_091084_2023-07-10_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-08-01 11:23:44	ga_ls8c_ard_3-2-1_110084_2023-08-01_final
2023-08-05 10:55:26	ga_ls8c_ard_3-2-1_106075_2023-08-05_final
2023-08-21 10:55:34	ga_ls8c_ard_3-2-1_106075_2023-08-21_final
2023-09-09 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-09-09_final
2023-09-21 11:51:16	ga_ls8c_ard_3-2-1_115075_2023-09-21_final
2023-11-08 11:53:21	ga_ls8c_ard_3-2-1_115080_2023-11-08_final
2023-12-01 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-12-01_final
2023-12-01 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-12-01_final
2024-01-03 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-01-03_final
2024-01-09 10:23:35	ga_ls8c_ard_3-2-1_101072_2024-01-09_final
2024-02-18 09:35:18	ga_ls8c_ard_3-2-1_093075_2024-02-18_final
2024-02-21 11:44:41	ga_ls8c_ard_3-2-1_114074_2024-02-21_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