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
2013-04-15 09:42:27	ga_ls8c_ard_3-0-0_094073_2013-04-15_final
2013-06-08 09:09:10	ga_ls8c_ard_3-0-0_088082_2013-06-07_final
2013-10-31 09:48:08	ga_ls8c_ard_3-0-0_095072_2013-10-31_final
2014-05-10 09:06:20	ga_ls8c_ard_3-1-0_088081_2014-05-09_final
2014-05-27 09:51:56	ga_ls8c_ard_3-0-0_095087_2014-05-27_final
2014-10-27 09:40:49	ga_ls8c_ard_3-0-0_094073_2014-10-27_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2015-03-07 11:50:54	ga_ls8c_ard_3-0-0_115075_2015-03-07_final
2015-03-26 09:06:15	ga_ls8c_ard_3-1-0_088081_2015-03-25_final
2015-06-29 11:37:01	ga_ls8c_ard_3-0-0_113072_2015-06-29_final
2015-11-02 11:52:31	ga_ls8c_ard_3-0-0_115078_2015-11-02_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2016-03-29 09:46:05	ga_ls8c_ard_3-0-0_095072_2016-03-29_final
2016-06-07 10:49:05	ga_ls8c_ard_3-0-0_105075_2016-06-07_final
2016-07-19 09:51:34	ga_ls8c_ard_3-0-0_095085_2016-07-19_final
2016-11-07 09:06:40	ga_ls8c_ard_3-0-0_088080_2016-11-06_final
2016-12-10 09:46:18	ga_ls8c_ard_3-0-0_095071_2016-12-10_final
2016-12-17 11:29:44	ga_ls8c_ard_3-0-0_112067_2016-12-17_final
2017-01-08 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-01-08_final
2017-01-16 11:44:47	ga_ls8c_ard_3-0-0_114074_2017-01-16_final
2017-01-18 11:34:48	ga_ls8c_ard_3-0-0_112080_2017-01-18_final
2017-02-08 11:51:35	ga_ls8c_ard_3-0-0_115076_2017-02-08_final
2017-02-12 09:52:20	ga_ls8c_ard_3-0-0_095087_2017-02-12_final
2017-02-15 11:57:43	ga_ls8c_ard_3-0-0_116076_2017-02-15_final
2017-02-15 11:58:31	ga_ls8c_ard_3-0-0_116078_2017-02-15_final
2017-04-24 11:31:37	ga_ls8c_ard_3-0-0_112074_2017-04-24_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2017-09-21 10:53:21	ga_ls8c_ard_3-0-0_106069_2017-09-21_final
2017-11-11 09:47:52	ga_ls8c_ard_3-0-0_095075_2017-11-11_final
2017-11-23 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-11-23_final
2017-12-06 11:18:27	ga_ls8c_ard_3-0-0_110070_2017-12-06_final
2018-03-05 11:11:24	ga_ls8c_ard_3-0-0_109069_2018-03-05_final
2018-05-25 11:57:28	ga_ls8c_ard_3-0-0_116078_2018-05-25_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-11-30 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-11-30_final
2019-02-16 11:37:23	ga_ls8c_ard_3-0-0_113072_2019-02-16_final
2019-02-16 11:40:59	ga_ls8c_ard_3-0-0_113081_2019-02-16_final
2019-02-27 11:18:00	ga_ls8c_ard_3-0-0_110070_2019-02-27_final
2019-03-21 09:06:19	ga_ls8c_ard_3-1-0_088081_2019-03-20_final
2019-06-01 11:32:00	ga_ls8c_ard_3-0-0_112074_2019-06-01_final
2019-09-09 11:07:23	ga_ls8c_ard_3-1-0_108073_2019-09-09_final
2019-09-14 11:25:57	ga_ls8c_ard_3-1-0_111073_2019-09-14_final
2020-01-01 10:56:12	ga_ls8c_ard_3-1-0_106076_2020-01-01_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-03-05 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-03-05_final
2020-03-15 11:31:20	ga_ls8c_ard_3-1-0_112072_2020-03-15_final
2020-03-31 11:29:11	ga_ls8c_ard_3-1-0_112067_2020-03-31_final
2020-05-04 11:18:33	ga_ls8c_ard_3-1-0_110072_2020-05-04_final
2020-09-13 10:53:25	ga_ls8c_ard_3-1-0_106069_2020-09-13_final
2021-01-02 10:09:00	ga_ls8c_ard_3-2-1_099066_2021-01-02_final
2021-03-13 11:16:47	ga_ls8c_ard_3-2-0_109082_2021-03-13_final
2021-03-22 11:05:46	ga_ls8c_ard_3-2-0_108070_2021-03-22_final
2021-04-01 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-04-01_final
2021-04-13 10:32:58	ga_ls8c_ard_3-2-0_102081_2021-04-13_final
2021-04-17 11:45:30	ga_ls8c_ard_3-2-0_114077_2021-04-17_final
2021-04-26 10:03:33	ga_ls8c_ard_3-2-0_097085_2021-04-26_final
2021-04-28 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-04-28_final
2021-06-01 09:37:47	ga_ls8c_ard_3-2-0_093082_2021-06-01_final
2021-06-13 09:57:47	ga_ls8c_ard_3-2-0_097070_2021-06-13_final
2021-08-07 10:10:14	ga_ls8c_ard_3-2-0_098085_2021-08-07_final
2021-08-09 11:32:23	ga_ls8c_ard_3-2-0_112074_2021-08-09_final
2021-09-19 11:23:35	ga_ls8c_ard_3-2-0_111067_2021-09-19_final
2021-11-02 10:15:56	ga_ls8c_ard_3-2-0_099083_2021-11-02_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-11-12 10:46:59	ga_ls8c_ard_3-2-0_105068_2021-11-12_final
2021-11-24 09:39:35	ga_ls8c_ard_3-2-0_093085_2021-11-24_final
2021-11-27 11:47:47	ga_ls8c_ard_3-2-0_114081_2021-11-27_final
2021-11-29 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-29_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2022-02-02 10:35:11	ga_ls8c_ard_3-2-1_103070_2022-02-02_final
2022-02-21 09:34:17	ga_ls8c_ard_3-2-1_092088_2022-02-21_final
2022-04-12 09:16:55	ga_ls8c_ard_3-2-1_090076_2022-04-11_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-06-29 09:31:18	ga_ls8c_ard_3-2-1_092080_2022-06-29_final
2022-07-22 09:37:09	ga_ls8c_ard_3-2-1_093079_2022-07-22_final
2022-09-16 10:26:07	ga_ls8c_ard_3-2-1_101077_2022-09-16_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-09-22 09:46:39	ga_ls8c_ard_3-2-1_095071_2022-09-22_final
2022-11-29 09:28:14	ga_ls8c_ard_3-2-1_091087_2022-11-28_final
2022-12-15 11:00:15	ga_ls8c_ard_3-2-1_107070_2022-12-15_final
2022-12-17 10:50:16	ga_ls8c_ard_3-2-1_105076_2022-12-17_final
2023-01-17 10:03:38	ga_ls8c_ard_3-2-1_098068_2023-01-17_final
2023-02-05 10:36:13	ga_ls8c_ard_3-2-1_103072_2023-02-05_final
2023-02-20 11:32:26	ga_ls8c_ard_3-2-1_112074_2023-02-20_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-03-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2023-03-17_final
2023-04-10 10:34:14	ga_ls8c_ard_3-2-1_103069_2023-04-10_final
2023-04-11 09:40:35	ga_ls8c_ard_3-2-1_094074_2023-04-11_final
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_final
2023-05-09 10:09:29	ga_ls8c_ard_3-2-1_098085_2023-05-09_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-31 11:10:27	ga_ls8c_ard_3-2-1_108083_2023-05-31_final
2023-08-12 11:00:02	ga_ls8c_ard_3-2-1_107071_2023-08-12_final
2023-10-04 09:45:56	ga_ls8c_ard_3-2-1_094086_2023-10-04_final
2023-10-05 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-10-05_final
2023-10-31 09:27:53	ga_ls8c_ard_3-2-1_091087_2023-10-30_final
2023-11-17 11:46:02	ga_ls8c_ard_3-2-1_114077_2023-11-17_final
2023-12-02 09:23:52	ga_ls8c_ard_3-2-1_091077_2023-12-01_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_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