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
2014-02-19 10:46:02	ga_ls8c_ard_3-0-0_104080_2014-02-19_final
2014-02-28 10:34:55	ga_ls8c_ard_3-0-0_103068_2014-02-28_final
2014-03-05 10:53:45	ga_ls8c_ard_3-0-0_106069_2014-03-05_final
2014-06-23 11:05:40	ga_ls8c_ard_3-0-0_108070_2014-06-23_final
2014-07-06 10:39:39	ga_ls8c_ard_3-0-0_103082_2014-07-06_final
2014-08-10 11:05:59	ga_ls8c_ard_3-0-0_108070_2014-08-10_final
2014-11-29 10:28:04	ga_ls8c_ard_3-0-0_101083_2014-11-29_final
2015-03-08 10:52:29	ga_ls8c_ard_3-0-0_106068_2015-03-08_final
2015-05-30 11:23:10	ga_ls8c_ard_3-0-0_111069_2015-05-30_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2015-08-10 10:37:06	ga_ls8c_ard_3-0-0_103076_2015-08-10_final
2015-08-10 10:39:06	ga_ls8c_ard_3-0-0_103081_2015-08-10_final
2015-12-29 11:46:45	ga_ls8c_ard_3-0-0_114079_2015-12-29_final
2016-01-02 11:18:01	ga_ls8c_ard_3-0-0_110069_2016-01-02_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-07-28 11:18:19	ga_ls8c_ard_3-0-0_110070_2016-07-28_final
2016-09-12 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-12_final
2017-02-02 10:46:39	ga_ls8c_ard_3-0-0_105068_2017-02-02_final
2017-03-16 11:25:24	ga_ls8c_ard_3-0-0_111073_2017-03-16_final
2017-05-04 10:27:21	ga_ls8c_ard_3-0-0_102068_2017-05-04_final
2017-06-04 11:23:43	ga_ls8c_ard_3-0-0_111069_2017-06-04_final
2017-07-20 11:42:18	ga_ls8c_ard_3-0-0_113084_2017-07-20_final
2017-10-14 11:05:15	ga_ls8c_ard_3-0-0_107083_2017-10-14_final
2017-10-15 11:42:07	ga_ls8c_ard_3-0-0_114067_2017-10-15_final
2017-11-01 10:46:54	ga_ls8c_ard_3-0-0_105068_2017-11-01_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-06-24 10:27:03	ga_ls8c_ard_3-0-0_102068_2018-06-24_final
2018-07-25 11:28:54	ga_ls8c_ard_3-0-0_111083_2018-07-25_final
2018-09-02 11:30:14	ga_ls8c_ard_3-0-0_112070_2018-09-02_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-04-16 11:19:46	ga_ls8c_ard_3-1-0_110075_2019-04-16_final
2019-05-04 11:07:23	ga_ls8c_ard_3-0-0_108075_2019-05-04_final
2019-05-20 11:10:45	ga_ls8c_ard_3-0-0_108083_2019-05-20_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-06-18 10:35:41	ga_ls8c_ard_3-1-0_103072_2019-06-18_final
2019-09-13 10:42:41	ga_ls8c_ard_3-1-0_104073_2019-09-13_final
2019-10-12 11:51:35	ga_ls8c_ard_3-1-0_115075_2019-10-12_final
2019-12-28 11:20:33	ga_ls8c_ard_3-1-0_110075_2019-12-28_final
2020-02-07 11:16:58	ga_ls8c_ard_3-1-0_109082_2020-02-07_final
2020-02-15 10:27:30	ga_ls8c_ard_3-1-0_101082_2020-02-15_final
2020-03-16 10:39:17	ga_ls8c_ard_3-1-0_103081_2020-03-16_final
2020-04-03 10:27:09	ga_ls8c_ard_3-1-0_101082_2020-04-03_final
2020-04-05 10:08:24	ga_ls8c_ard_3-2-1_099066_2020-04-05_final
2020-04-05 11:51:16	ga_ls8c_ard_3-1-0_115076_2020-04-05_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-05-30 11:58:03	ga_ls8c_ard_3-1-0_116078_2020-05-30_final
2020-06-11 10:42:26	ga_ls8c_ard_3-1-0_104074_2020-06-11_final
2021-01-02 10:09:24	ga_ls8c_ard_3-2-0_099067_2021-01-02_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-02-03 10:13:15	ga_ls8c_ard_3-2-0_099077_2021-02-03_final
2021-02-19 11:51:16	ga_ls8c_ard_3-2-0_115075_2021-02-19_final
2021-03-25 10:03:21	ga_ls8c_ard_3-2-0_097084_2021-03-25_final
2021-04-19 11:30:20	ga_ls8c_ard_3-2-0_112070_2021-04-19_final
2021-04-28 11:25:16	ga_ls8c_ard_3-2-0_111073_2021-04-28_final
2021-05-04 09:11:38	ga_ls8c_ard_3-2-0_089079_2021-05-03_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-06-19 09:27:31	ga_ls8c_ard_3-2-0_091087_2021-06-18_final
2021-07-01 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-07-01_final
2021-07-23 09:14:05	ga_ls8c_ard_3-2-0_089084_2021-07-22_final
2021-10-18 10:56:01	ga_ls8c_ard_3-2-0_106075_2021-10-18_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-26 11:14:01	ga_ls8c_ard_3-2-1_109074_2021-12-26_final
2022-01-23 09:58:32	ga_ls8c_ard_3-2-1_097071_2022-01-23_final
2022-02-07 10:54:07	ga_ls8c_ard_3-2-1_106071_2022-02-07_final
2022-02-15 10:04:37	ga_ls8c_ard_3-2-1_098071_2022-02-15_final
2022-04-28 09:17:39	ga_ls8c_ard_3-2-1_090078_2022-04-27_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-08-17 11:53:20	ga_ls8c_ard_3-2-1_115079_2022-08-17_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-11-04 09:33:18	ga_ls8c_ard_3-2-1_092084_2022-11-04_final
2022-11-05 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-11-05_final
2022-11-06 10:53:26	ga_ls8c_ard_3-2-1_106068_2022-11-06_final
2022-11-10 10:29:28	ga_ls8c_ard_3-2-1_102070_2022-11-10_final
2022-11-22 10:54:31	ga_ls8c_ard_3-2-1_106071_2022-11-22_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2022-12-15 09:27:21	ga_ls8c_ard_3-2-1_091085_2022-12-14_final
2022-12-18 11:32:43	ga_ls8c_ard_3-2-1_112074_2022-12-18_final
2022-12-19 10:38:16	ga_ls8c_ard_3-2-1_103077_2022-12-19_final
2023-03-03 11:14:10	ga_ls8c_ard_3-2-1_109075_2023-03-03_final
2023-04-27 11:23:24	ga_ls8c_ard_3-2-1_110084_2023-04-27_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-08-08 11:23:33	ga_ls8c_ard_3-2-1_111068_2023-08-08_final
2023-08-16 10:35:46	ga_ls8c_ard_3-2-1_103072_2023-08-16_final
2023-08-27 10:21:42	ga_ls8c_ard_3-2-1_100083_2023-08-27_final
2023-09-07 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-09-07_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-10-09 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-10-09_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-11-10 09:58:05	ga_ls8c_ard_3-2-1_097070_2023-11-10_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2023-12-17 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-17_final
2023-12-21 11:32:29	ga_ls8c_ard_3-2-1_112074_2023-12-21_final
2024-01-18 10:17:01	ga_ls8c_ard_3-2-1_100071_2024-01-18_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-02-22 09:11:46	ga_ls8c_ard_3-2-1_089078_2024-02-21_final
2024-03-14 11:09:22	ga_ls8c_ard_3-2-1_108079_2024-03-14_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