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
2013-03-27 10:16:16	ga_ls8c_ard_3-0-0_099078_2013-03-27_final
2014-01-09 10:51:29	ga_ls8c_ard_3-0-0_105077_2014-01-09_final
2014-03-31 11:35:41	ga_ls8c_ard_3-0-0_112082_2014-03-31_final
2014-05-23 11:51:54	ga_ls8c_ard_3-0-0_115078_2014-05-23_final
2014-06-24 10:08:51	ga_ls8c_ard_3-0-0_099067_2014-06-24_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-10-19 10:33:30	ga_ls8c_ard_3-0-0_102081_2014-10-19_final
2014-11-09 10:47:15	ga_ls8c_ard_3-0-0_105069_2014-11-09_final
2014-11-19 11:24:16	ga_ls8c_ard_3-0-0_111069_2014-11-19_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2014-12-14 11:19:36	ga_ls8c_ard_3-0-0_110073_2014-12-14_final
2014-12-25 11:01:28	ga_ls8c_ard_3-0-0_107074_2014-12-25_final
2015-01-01 11:07:58	ga_ls8c_ard_3-0-0_108075_2015-01-01_final
2015-01-11 10:05:00	ga_ls8c_ard_3-0-0_098072_2015-01-11_final
2015-01-31 11:23:51	ga_ls8c_ard_3-0-0_110084_2015-01-31_final
2015-04-05 09:45:11	ga_ls8c_ard_3-1-0_094086_2015-04-05_final
2015-04-05 11:19:17	ga_ls8c_ard_3-0-0_110074_2015-04-05_final
2015-04-23 09:25:13	ga_ls8c_ard_3-0-0_092067_2015-04-22_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2015-06-09 10:26:18	ga_ls8c_ard_3-0-0_101081_2015-06-09_final
2015-11-04 11:39:45	ga_ls8c_ard_3-0-0_113077_2015-11-04_final
2015-12-13 10:04:16	ga_ls8c_ard_3-0-0_098070_2015-12-13_final
2015-12-17 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-17_final
2015-12-25 10:30:12	ga_ls8c_ard_3-0-0_102073_2015-12-25_final
2016-01-03 10:23:11	ga_ls8c_ard_3-0-0_101071_2016-01-03_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-16 09:38:49	ga_ls8c_ard_3-0-0_093085_2016-04-16_final
2016-05-20 11:03:21	ga_ls8c_ard_3-0-0_107080_2016-05-20_final
2016-06-01 09:45:16	ga_ls8c_ard_3-0-0_095070_2016-06-01_final
2016-06-14 10:55:17	ga_ls8c_ard_3-0-0_106075_2016-06-14_final
2016-07-22 10:18:29	ga_ls8c_ard_3-0-0_100075_2016-07-22_final
2016-07-24 10:07:20	ga_ls8c_ard_3-0-0_098078_2016-07-24_final
2016-07-25 10:49:00	ga_ls8c_ard_3-0-0_105074_2016-07-25_final
2016-08-02 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-08-02_final
2016-09-21 09:44:39	ga_ls8c_ard_3-0-0_095067_2016-09-21_final
2016-09-26 11:46:03	ga_ls8c_ard_3-0-0_114077_2016-09-26_final
2016-12-01 09:51:43	ga_ls8c_ard_3-0-0_096069_2016-12-01_final
2017-01-08 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-01-08_final
2017-01-11 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-01-11_final
2017-06-26 10:49:10	ga_ls8c_ard_3-0-0_105075_2017-06-26_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-14 10:35:39	ga_ls8c_ard_3-0-0_103072_2017-07-14_final
2017-08-07 09:52:00	ga_ls8c_ard_3-0-0_095086_2017-08-07_final
2017-08-28 10:09:50	ga_ls8c_ard_3-0-0_098084_2017-08-28_final
2017-10-24 10:03:51	ga_ls8c_ard_3-0-0_097084_2017-10-24_final
2017-11-02 09:52:05	ga_ls8c_ard_3-0-0_096070_2017-11-02_final
2017-12-06 11:18:51	ga_ls8c_ard_3-0-0_110071_2017-12-06_final
2018-04-26 10:48:13	ga_ls8c_ard_3-0-0_105074_2018-04-26_final
2018-05-29 11:30:18	ga_ls8c_ard_3-0-0_112072_2018-05-29_final
2018-06-25 11:13:31	ga_ls8c_ard_3-0-0_109076_2018-06-25_final
2018-09-29 11:14:15	ga_ls8c_ard_3-0-0_109076_2018-09-29_final
2018-12-30 11:39:31	ga_ls8c_ard_3-0-0_113077_2018-12-30_final
2019-01-18 10:29:53	ga_ls8c_ard_3-0-0_102073_2019-01-18_final
2019-03-27 10:04:06	ga_ls8c_ard_3-1-0_098071_2019-03-27_final
2019-04-26 10:21:29	ga_ls8c_ard_3-0-0_100084_2019-04-26_final
2019-05-16 11:35:26	ga_ls8c_ard_3-0-0_112083_2019-05-16_final
2019-10-18 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-10-18_final
2020-02-01 10:10:01	ga_ls8c_ard_3-1-0_099069_2020-02-01_final
2020-02-28 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-02-28_final
2020-07-17 10:21:34	ga_ls8c_ard_3-1-0_100083_2020-07-17_final
2020-07-26 10:11:03	ga_ls8c_ard_3-1-0_099072_2020-07-26_final
2020-08-02 10:21:39	ga_ls8c_ard_3-1-0_100083_2020-08-02_final
2020-08-04 10:09:41	ga_ls8c_ard_3-1-0_098084_2020-08-04_final
2020-08-10 11:09:55	ga_ls8c_ard_3-1-0_108080_2020-08-10_final
2020-08-14 10:42:25	ga_ls8c_ard_3-1-0_104073_2020-08-14_final
2020-09-26 10:28:10	ga_ls8c_ard_3-1-0_101083_2020-09-26_final
2020-10-05 10:21:37	ga_ls8c_ard_3-1-0_100082_2020-10-05_final
2020-10-23 11:45:22	ga_ls8c_ard_3-1-0_114075_2020-10-23_final
2021-01-23 10:29:01	ga_ls8c_ard_3-2-0_102070_2021-01-23_final
2021-01-31 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-01-31_final
2021-01-31 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-01-31_final
2021-04-24 10:09:09	ga_ls8c_ard_3-2-0_099068_2021-04-24_final
2021-06-20 10:04:00	ga_ls8c_ard_3-2-0_098070_2021-06-20_final
2021-10-14 11:20:43	ga_ls8c_ard_3-2-0_110075_2021-10-14_final
2021-10-19 10:03:59	ga_ls8c_ard_3-2-0_097084_2021-10-19_final
2021-10-25 11:02:12	ga_ls8c_ard_3-2-0_107075_2021-10-25_final
2021-11-02 10:09:33	ga_ls8c_ard_3-2-0_099067_2021-11-02_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-12-01 11:20:16	ga_ls8c_ard_3-2-0_110074_2021-12-01_final
2022-02-03 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-02-03_final
2022-02-07 09:21:13	ga_ls8c_ard_3-2-1_090086_2022-02-06_final
2022-02-11 10:33:46	ga_ls8c_ard_3-2-1_102082_2022-02-11_final
2022-02-23 10:53:13	ga_ls8c_ard_3-2-1_106069_2022-02-23_final
2022-05-03 09:33:27	ga_ls8c_ard_3-2-1_093071_2022-05-03_final
2022-05-30 09:20:15	ga_ls8c_ard_3-2-1_090084_2022-05-29_final
2022-06-06 09:27:44	ga_ls8c_ard_3-2-1_091087_2022-06-05_final
2022-06-21 10:19:07	ga_ls8c_ard_3-2-1_100076_2022-06-21_final
2022-07-10 09:15:09	ga_ls8c_ard_3-2-1_089086_2022-07-09_final
2022-09-17 09:35:41	ga_ls8c_ard_3-2-1_092090_2022-09-17_final
2022-11-18 11:24:00	ga_ls8c_ard_3-2-1_110083_2022-11-18_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-02-25 10:13:58	ga_ls8c_ard_3-2-1_099079_2023-02-25_final
2023-04-04 11:14:15	ga_ls8c_ard_3-2-1_109076_2023-04-04_final
2023-05-07 11:57:35	ga_ls8c_ard_3-2-1_116077_2023-05-07_final
2023-07-29 10:49:37	ga_ls8c_ard_3-2-1_105076_2023-07-29_final
2023-10-19 10:35:59	ga_ls8c_ard_3-2-1_103072_2023-10-19_final
2023-11-21 09:40:28	ga_ls8c_ard_3-2-1_094072_2023-11-21_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-12-15 10:33:51	ga_ls8c_ard_3-2-1_102082_2023-12-15_final
2024-01-15 11:30:12	ga_ls8c_ard_3-2-1_111084_2024-01-15_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