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
2013-05-16 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-05-16_final
2013-08-09 10:57:36	ga_ls8c_ard_3-0-0_106075_2013-08-09_final
2014-04-09 11:23:24	ga_ls8c_ard_3-0-0_111067_2014-04-09_final
2014-04-11 11:14:12	ga_ls8c_ard_3-0-0_109075_2014-04-11_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-06-08 10:13:11	ga_ls8c_ard_3-0-0_099078_2014-06-08_final
2014-09-17 10:33:23	ga_ls8c_ard_3-0-0_102081_2014-09-17_final
2014-12-29 10:39:29	ga_ls8c_ard_3-0-0_103081_2014-12-29_final
2015-05-10 10:12:11	ga_ls8c_ard_3-0-0_099077_2015-05-10_final
2015-05-18 11:00:24	ga_ls8c_ard_3-0-0_107074_2015-05-18_final
2015-09-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2015-09-26_final
2015-11-23 10:33:24	ga_ls8c_ard_3-0-0_102081_2015-11-23_final
2016-01-19 10:25:34	ga_ls8c_ard_3-0-0_101077_2016-01-19_final
2016-02-29 10:19:12	ga_ls8c_ard_3-0-0_100077_2016-02-29_final
2016-04-24 10:22:36	ga_ls8c_ard_3-0-0_101071_2016-04-24_final
2016-05-16 11:23:39	ga_ls8c_ard_3-0-0_111069_2016-05-16_final
2016-09-29 10:34:29	ga_ls8c_ard_3-0-0_103068_2016-09-29_final
2016-09-29 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-29_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2016-10-31 10:39:47	ga_ls8c_ard_3-0-0_103081_2016-10-31_final
2016-12-30 11:00:24	ga_ls8c_ard_3-0-0_107071_2016-12-30_final
2017-01-01 10:47:13	ga_ls8c_ard_3-0-0_105069_2017-01-01_final
2017-03-28 10:08:44	ga_ls8c_ard_3-0-0_099067_2017-03-28_final
2017-04-24 11:30:49	ga_ls8c_ard_3-0-0_112072_2017-04-24_final
2017-05-21 11:13:37	ga_ls8c_ard_3-0-0_109075_2017-05-21_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-05-31 10:12:43	ga_ls8c_ard_3-0-0_099077_2017-05-31_final
2017-08-21 11:35:44	ga_ls8c_ard_3-0-0_113067_2017-08-21_final
2017-10-19 11:17:25	ga_ls8c_ard_3-0-0_110067_2017-10-19_final
2017-10-22 10:16:13	ga_ls8c_ard_3-0-0_099084_2017-10-22_final
2017-12-04 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-12-04_final
2018-02-06 11:29:20	ga_ls8c_ard_3-0-0_112067_2018-02-06_final
2018-02-13 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-02-13_final
2018-04-16 10:12:25	ga_ls8c_ard_3-0-0_099077_2018-04-16_final
2018-05-03 10:54:44	ga_ls8c_ard_3-0-0_106075_2018-05-03_final
2018-06-16 11:19:12	ga_ls8c_ard_3-0-0_110075_2018-06-16_final
2018-06-29 10:48:26	ga_ls8c_ard_3-0-0_105075_2018-06-29_final
2018-07-28 10:16:09	ga_ls8c_ard_3-0-0_100071_2018-07-28_final
2018-11-22 10:39:22	ga_ls8c_ard_3-0-0_103081_2018-11-22_final
2019-03-24 11:13:18	ga_ls8c_ard_3-1-0_109074_2019-03-24_final
2019-05-16 11:35:26	ga_ls8c_ard_3-0-0_112083_2019-05-16_final
2019-05-31 10:49:31	ga_ls8c_ard_3-0-0_105076_2019-05-31_final
2019-07-23 11:07:56	ga_ls8c_ard_3-1-0_108075_2019-07-23_final
2019-08-06 11:17:12	ga_ls8c_ard_3-1-0_110067_2019-08-06_final
2019-08-21 10:40:00	ga_ls8c_ard_3-1-0_103082_2019-08-21_final
2019-11-23 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-11-23_final
2019-12-02 10:42:45	ga_ls8c_ard_3-1-0_104073_2019-12-02_final
2020-02-07 11:14:59	ga_ls8c_ard_3-1-0_109077_2020-02-07_final
2020-02-22 10:33:16	ga_ls8c_ard_3-1-0_102081_2020-02-22_final
2020-03-17 11:20:09	ga_ls8c_ard_3-1-0_110075_2020-03-17_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-05-28 10:33:07	ga_ls8c_ard_3-1-0_102082_2020-05-28_final
2020-10-15 10:53:08	ga_ls8c_ard_3-1-0_106068_2020-10-15_final
2020-11-25 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-11-25_final
2020-11-28 11:17:27	ga_ls8c_ard_3-1-0_110067_2020-11-28_final
2021-02-22 10:46:03	ga_ls8c_ard_3-2-0_104082_2021-02-22_final
2021-02-27 09:22:05	ga_ls8c_ard_3-2-0_091073_2021-02-26_final
2021-03-08 10:53:55	ga_ls8c_ard_3-2-0_106071_2021-03-08_final
2021-04-15 10:16:36	ga_ls8c_ard_3-2-0_100071_2021-04-15_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-05-20 09:15:45	ga_ls8c_ard_3-2-0_089089_2021-05-19_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-10 11:20:13	ga_ls8c_ard_3-2-0_110075_2021-07-10_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2022-01-02 09:40:04	ga_ls8c_ard_3-2-1_094071_2022-01-02_final
2022-02-06 10:13:15	ga_ls8c_ard_3-2-1_099077_2022-02-06_final
2022-02-22 10:10:21	ga_ls8c_ard_3-2-1_099070_2022-02-22_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-04-11 10:13:44	ga_ls8c_ard_3-2-1_099079_2022-04-11_final
2022-05-20 10:19:15	ga_ls8c_ard_3-2-1_100077_2022-05-20_final
2022-06-03 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-06-03_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-08-03 09:58:48	ga_ls8c_ard_3-2-1_097071_2022-08-03_final
2022-08-14 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-08-14_final
2022-08-28 11:35:36	ga_ls8c_ard_3-2-1_112081_2022-08-28_final
2022-10-21 09:18:05	ga_ls8c_ard_3-2-1_090077_2022-10-20_final
2022-11-15 09:11:52	ga_ls8c_ard_3-2-1_089077_2022-11-14_final
2022-12-09 09:57:19	ga_ls8c_ard_3-2-1_097067_2022-12-09_final
2022-12-14 10:22:11	ga_ls8c_ard_3-2-1_100083_2022-12-14_final
2022-12-17 09:10:35	ga_ls8c_ard_3-2-1_089074_2022-12-16_final
2022-12-27 11:24:30	ga_ls8c_ard_3-2-1_111069_2022-12-27_final
2023-01-20 10:39:45	ga_ls8c_ard_3-2-1_103081_2023-01-20_final
2023-01-24 10:10:17	ga_ls8c_ard_3-2-1_099069_2023-01-24_final
2023-02-10 09:17:02	ga_ls8c_ard_3-2-1_090075_2023-02-09_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-31 09:31:58	ga_ls8c_ard_3-2-1_092084_2023-05-31_final
2023-06-26 10:08:52	ga_ls8c_ard_3-2-1_098083_2023-06-26_final
2023-06-26 10:09:16	ga_ls8c_ard_3-2-1_098084_2023-06-26_final
2023-07-23 11:24:37	ga_ls8c_ard_3-2-1_111071_2023-07-23_final
2023-08-19 09:29:01	ga_ls8c_ard_3-2-1_092075_2023-08-18_final
2023-08-20 10:13:05	ga_ls8c_ard_3-2-1_099077_2023-08-20_final
2023-08-26 11:14:31	ga_ls8c_ard_3-2-1_109076_2023-08-26_final
2023-11-02 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-02_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2024-01-31 09:46:27	ga_ls8c_ard_3-2-1_095072_2024-01-31_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-03-11 10:35:42	ga_ls8c_ard_3-2-1_103072_2024-03-11_final
2024-03-30 11:07:09	ga_ls8c_ard_3-2-1_108074_2024-03-30_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