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
2013-04-18 10:15:44	ga_ls8c_ard_3-0-0_099079_2013-04-18_final
2013-05-28 11:01:49	ga_ls8c_ard_3-0-0_107070_2013-05-28_final
2013-06-01 10:36:18	ga_ls8c_ard_3-0-0_103068_2013-06-01_final
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-06-27 11:14:05	ga_ls8c_ard_3-0-0_109070_2013-06-27_final
2013-08-06 10:29:29	ga_ls8c_ard_3-0-0_101082_2013-08-06_final
2013-09-29 11:27:33	ga_ls8c_ard_3-0-0_111073_2013-09-29_final
2013-12-12 10:24:40	ga_ls8c_ard_3-0-0_101071_2013-12-12_final
2014-02-13 11:17:58	ga_ls8c_ard_3-0-0_110067_2014-02-13_final
2014-06-14 11:13:50	ga_ls8c_ard_3-0-0_109075_2014-06-14_final
2014-09-12 10:10:52	ga_ls8c_ard_3-0-0_099071_2014-09-12_final
2015-01-10 11:05:00	ga_ls8c_ard_3-0-0_107083_2015-01-10_final
2015-03-14 10:18:54	ga_ls8c_ard_3-0-0_100077_2015-03-14_final
2015-03-23 10:13:04	ga_ls8c_ard_3-0-0_099078_2015-03-23_final
2015-04-19 09:51:58	ga_ls8c_ard_3-0-0_096072_2015-04-19_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-11-30 10:36:00	ga_ls8c_ard_3-0-0_103072_2015-11-30_final
2016-01-30 10:07:24	ga_ls8c_ard_3-0-0_098078_2016-01-30_final
2016-02-27 10:33:09	ga_ls8c_ard_3-0-0_102081_2016-02-27_final
2016-03-11 09:57:50	ga_ls8c_ard_3-1-0_097070_2016-03-11_final
2016-03-20 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-03-20_final
2016-03-24 11:07:41	ga_ls8c_ard_3-0-0_108075_2016-03-24_final
2016-04-01 10:18:57	ga_ls8c_ard_3-0-0_100077_2016-04-01_final
2016-04-14 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-14_final
2016-07-31 10:13:08	ga_ls8c_ard_3-0-0_099077_2016-07-31_final
2016-09-11 10:49:14	ga_ls8c_ard_3-0-0_105074_2016-09-11_final
2016-12-03 11:18:38	ga_ls8c_ard_3-0-0_110070_2016-12-03_final
2016-12-29 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-12-29_final
2017-01-13 11:12:42	ga_ls8c_ard_3-0-0_109071_2017-01-13_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-07-15 11:18:08	ga_ls8c_ard_3-0-0_110070_2017-07-15_final
2018-02-18 11:58:22	ga_ls8c_ard_3-0-0_116078_2018-02-18_final
2018-04-22 11:10:59	ga_ls8c_ard_3-0-0_109069_2018-04-22_final
2018-07-27 11:16:57	ga_ls8c_ard_3-0-0_109084_2018-07-27_final
2018-11-01 11:58:30	ga_ls8c_ard_3-0-0_116078_2018-11-01_final
2018-11-19 10:02:29	ga_ls8c_ard_3-2-1_098066_2018-11-19_final
2018-11-22 10:39:22	ga_ls8c_ard_3-0-0_103081_2018-11-22_final
2019-01-24 11:35:39	ga_ls8c_ard_3-0-0_112083_2019-01-24_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-04-29 10:49:13	ga_ls8c_ard_3-0-0_105076_2019-04-29_final
2019-05-09 11:22:48	ga_ls8c_ard_3-0-0_111067_2019-05-09_final
2019-07-18 10:48:57	ga_ls8c_ard_3-1-0_105074_2019-07-18_final
2019-09-04 10:49:13	ga_ls8c_ard_3-1-0_105074_2019-09-04_final
2019-09-11 10:53:02	ga_ls8c_ard_3-1-0_106068_2019-09-11_final
2019-10-07 11:30:39	ga_ls8c_ard_3-1-0_112069_2019-10-07_final
2019-10-12 11:52:47	ga_ls8c_ard_3-1-0_115078_2019-10-12_final
2019-12-14 09:29:21	ga_ls8c_ard_3-2-0_092075_2019-12-13_final
2020-01-01 10:53:24	ga_ls8c_ard_3-1-0_106069_2020-01-01_final
2020-02-15 10:25:31	ga_ls8c_ard_3-1-0_101077_2020-02-15_final
2020-03-08 11:24:24	ga_ls8c_ard_3-1-0_111070_2020-03-08_final
2020-04-04 11:07:37	ga_ls8c_ard_3-1-0_108075_2020-04-04_final
2020-04-09 09:44:03	ga_ls8c_ard_3-1-0_095067_2020-04-09_final
2020-04-23 09:57:06	ga_ls8c_ard_3-1-0_097069_2020-04-23_final
2020-05-02 09:56:50	ga_ls8c_ard_3-1-0_096084_2020-05-02_final
2020-06-06 10:27:02	ga_ls8c_ard_3-1-0_101082_2020-06-06_final
2020-06-20 10:39:08	ga_ls8c_ard_3-1-0_103081_2020-06-20_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2021-01-08 11:13:57	ga_ls8c_ard_3-2-0_109074_2021-01-08_final
2021-02-16 11:17:59	ga_ls8c_ard_3-2-0_110069_2021-02-16_final
2021-03-23 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-03-23_final
2021-06-03 11:01:31	ga_ls8c_ard_3-2-0_107075_2021-06-03_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2021-11-17 11:08:17	ga_ls8c_ard_3-2-0_108075_2021-11-17_final
2021-12-28 09:21:57	ga_ls8c_ard_3-2-1_091072_2021-12-27_final
2022-03-14 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-03-14_final
2022-04-06 09:57:33	ga_ls8c_ard_3-2-1_096085_2022-04-06_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-06-20 11:14:44	ga_ls8c_ard_3-2-1_109076_2022-06-20_final
2022-09-07 10:33:50	ga_ls8c_ard_3-2-1_102081_2022-09-07_final
2022-11-05 11:53:27	ga_ls8c_ard_3-2-1_115079_2022-11-05_final
2022-11-29 09:23:26	ga_ls8c_ard_3-2-1_091075_2022-11-28_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2023-02-06 09:41:23	ga_ls8c_ard_3-2-1_094074_2023-02-06_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-02-09 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-02-09_final
2023-02-20 09:53:33	ga_ls8c_ard_3-2-1_096074_2023-02-20_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-03-05 11:04:59	ga_ls8c_ard_3-2-1_107083_2023-03-05_final
2023-04-26 10:33:46	ga_ls8c_ard_3-2-1_103068_2023-04-26_final
2023-05-06 11:13:32	ga_ls8c_ard_3-2-1_109075_2023-05-06_final
2023-07-02 09:27:29	ga_ls8c_ard_3-2-1_092072_2023-07-01_final
2023-07-27 09:22:16	ga_ls8c_ard_3-2-1_091074_2023-07-26_final
2023-08-19 09:32:37	ga_ls8c_ard_3-2-1_092084_2023-08-19_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-12-25 11:07:45	ga_ls8c_ard_3-2-1_108074_2023-12-25_final
2023-12-26 10:13:43	ga_ls8c_ard_3-2-1_099078_2023-12-26_final
2023-12-29 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-28_final
2024-01-01 11:11:52	ga_ls8c_ard_3-2-1_109069_2024-01-01_final
2024-01-27 11:50:48	ga_ls8c_ard_3-2-1_115074_2024-01-27_final
2024-02-12 10:08:50	ga_ls8c_ard_3-2-1_099066_2024-02-12_final
2024-02-13 10:54:52	ga_ls8c_ard_3-2-1_106073_2024-02-13_final
2024-03-07 09:22:44	ga_ls8c_ard_3-2-1_091075_2024-03-06_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