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
2013-08-21 11:19:09	ga_ls8c_ard_3-0-0_110067_2013-08-21_final
2014-10-09 11:32:28	ga_ls8c_ard_3-0-0_112074_2014-10-09_final
2014-10-14 10:14:09	ga_ls8c_ard_3-0-0_099079_2014-10-14_final
2015-02-03 10:13:28	ga_ls8c_ard_3-0-0_099078_2015-02-03_final
2016-01-24 09:06:25	ga_ls8c_ard_3-0-0_088080_2016-01-23_final
2016-02-06 10:11:09	ga_ls8c_ard_3-0-0_099072_2016-02-06_final
2016-03-09 10:09:48	ga_ls8c_ard_3-0-0_099069_2016-03-09_final
2016-03-18 10:07:09	ga_ls8c_ard_3-0-0_098078_2016-03-18_final
2016-05-12 10:12:39	ga_ls8c_ard_3-0-0_099077_2016-05-12_final
2016-12-02 10:36:10	ga_ls8c_ard_3-0-0_103072_2016-12-02_final
2016-12-22 10:10:10	ga_ls8c_ard_3-0-0_099069_2016-12-22_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-05-22 10:19:12	ga_ls8c_ard_3-0-0_100078_2017-05-22_final
2017-08-14 11:29:55	ga_ls8c_ard_3-0-0_112068_2017-08-14_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2017-11-27 11:24:15	ga_ls8c_ard_3-0-0_111069_2017-11-27_final
2017-12-09 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-12-09_final
2018-04-13 09:37:34	ga_ls8c_ard_3-0-0_094067_2018-04-13_final
2018-07-16 11:31:26	ga_ls8c_ard_3-0-0_112074_2018-07-16_final
2018-07-27 11:13:46	ga_ls8c_ard_3-0-0_109076_2018-07-27_final
2018-07-27 11:16:57	ga_ls8c_ard_3-0-0_109084_2018-07-27_final
2018-08-07 10:52:09	ga_ls8c_ard_3-0-0_106068_2018-08-07_final
2018-11-07 09:38:09	ga_ls8c_ard_3-0-0_094067_2018-11-07_final
2018-12-29 10:53:04	ga_ls8c_ard_3-0-0_106069_2018-12-29_final
2019-01-26 09:38:01	ga_ls8c_ard_3-0-0_094067_2019-01-26_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-05-18 09:39:49	ga_ls8c_ard_3-0-0_094072_2019-05-18_final
2019-05-20 11:10:45	ga_ls8c_ard_3-0-0_108083_2019-05-20_final
2019-06-15 10:07:10	ga_ls8c_ard_3-1-0_098078_2019-06-15_final
2019-06-17 11:31:42	ga_ls8c_ard_3-1-0_112073_2019-06-17_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-09-30 11:26:02	ga_ls8c_ard_3-1-0_111073_2019-09-30_final
2019-10-09 11:20:41	ga_ls8c_ard_3-1-0_110075_2019-10-09_final
2020-01-16 10:10:06	ga_ls8c_ard_3-1-0_099069_2020-01-16_final
2020-02-01 10:10:49	ga_ls8c_ard_3-1-0_099071_2020-02-01_final
2020-02-01 10:11:13	ga_ls8c_ard_3-1-0_099072_2020-02-01_final
2020-04-12 10:21:43	ga_ls8c_ard_3-1-0_100084_2020-04-12_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-06-05 09:45:45	ga_ls8c_ard_3-1-0_094087_2020-06-05_final
2020-06-05 11:17:27	ga_ls8c_ard_3-1-0_110069_2020-06-05_final
2020-06-14 11:13:45	ga_ls8c_ard_3-1-0_109075_2020-06-14_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-07-17 11:58:28	ga_ls8c_ard_3-1-0_116078_2020-07-17_final
2020-07-24 10:25:24	ga_ls8c_ard_3-1-0_101077_2020-07-24_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-08-08 09:44:11	ga_ls8c_ard_3-1-0_094082_2020-08-08_final
2020-08-24 09:40:19	ga_ls8c_ard_3-1-0_094072_2020-08-24_final
2020-09-01 10:33:49	ga_ls8c_ard_3-1-0_102082_2020-09-01_final
2020-10-18 11:26:01	ga_ls8c_ard_3-1-0_111073_2020-10-18_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2021-01-05 10:40:41	ga_ls8c_ard_3-2-0_104068_2021-01-05_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-03-11 09:46:42	ga_ls8c_ard_3-2-0_095073_2021-03-11_final
2021-04-18 10:48:40	ga_ls8c_ard_3-2-0_105074_2021-04-18_final
2021-05-02 09:22:01	ga_ls8c_ard_3-2-0_091074_2021-05-01_final
2021-05-10 10:13:26	ga_ls8c_ard_3-2-0_099079_2021-05-10_final
2021-06-08 11:19:42	ga_ls8c_ard_3-2-0_110074_2021-06-08_final
2021-07-05 09:27:34	ga_ls8c_ard_3-2-0_091087_2021-07-04_final
2021-07-14 10:55:29	ga_ls8c_ard_3-2-0_106075_2021-07-14_final
2021-08-07 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-08-07_final
2021-08-08 09:14:13	ga_ls8c_ard_3-2-0_089084_2021-08-07_final
2021-08-15 10:55:44	ga_ls8c_ard_3-2-0_106075_2021-08-15_final
2021-08-16 11:35:48	ga_ls8c_ard_3-2-0_113067_2021-08-16_final
2021-08-20 11:14:41	ga_ls8c_ard_3-2-0_109076_2021-08-20_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2022-01-13 11:00:00	ga_ls8c_ard_3-2-1_107070_2022-01-13_final
2022-03-08 10:27:52	ga_ls8c_ard_3-2-1_101083_2022-03-08_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-04-05 10:51:57	ga_ls8c_ard_3-2-1_105082_2022-04-05_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-06-30 10:08:58	ga_ls8c_ard_3-2-1_099066_2022-06-30_final
2022-07-16 10:14:08	ga_ls8c_ard_3-2-1_099079_2022-07-16_final
2022-08-14 09:46:20	ga_ls8c_ard_3-2-1_094086_2022-08-14_final
2022-08-26 10:07:52	ga_ls8c_ard_3-2-1_098078_2022-08-26_final
2022-10-04 10:10:33	ga_ls8c_ard_3-2-1_099069_2022-10-04_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-10-26 09:34:40	ga_ls8c_ard_3-2-1_093072_2022-10-26_final
2022-11-06 09:22:31	ga_ls8c_ard_3-2-1_090088_2022-11-05_final
2022-12-11 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-12-11_final
2022-12-19 10:39:52	ga_ls8c_ard_3-2-1_103081_2022-12-19_final
2022-12-31 09:23:42	ga_ls8c_ard_3-2-1_091076_2022-12-30_final
2023-02-01 09:22:04	ga_ls8c_ard_3-2-1_091072_2023-01-31_final
2023-02-22 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-02-22_final
2023-03-12 09:34:38	ga_ls8c_ard_3-2-1_092089_2023-03-12_final
2023-05-13 11:17:36	ga_ls8c_ard_3-2-1_110070_2023-05-13_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-09-21 10:15:35	ga_ls8c_ard_3-2-1_099083_2023-09-21_final
2023-11-09 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-11-08_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-11-15 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-11-15_final
2023-11-20 10:39:40	ga_ls8c_ard_3-2-1_103081_2023-11-20_final
2023-11-25 09:22:08	ga_ls8c_ard_3-2-1_090088_2023-11-24_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-16 10:28:36	ga_ls8c_ard_3-2-1_102069_2024-01-16_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-02-28_final
2024-03-25 10:47:04	ga_ls8c_ard_3-2-1_105070_2024-03-25_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