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
2013-06-09 11:26:31	ga_ls8c_ard_3-0-0_111070_2013-06-09_final
2014-02-27 11:32:33	ga_ls8c_ard_3-0-0_112073_2014-02-27_final
2014-04-02 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-04-02_final
2015-03-06 11:06:28	ga_ls8c_ard_3-0-0_108072_2015-03-06_final
2015-03-13 11:13:43	ga_ls8c_ard_3-0-0_109075_2015-03-13_final
2015-05-30 11:23:34	ga_ls8c_ard_3-0-0_111070_2015-05-30_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-08-19 10:40:55	ga_ls8c_ard_3-0-0_104069_2016-08-19_final
2016-08-29 11:17:17	ga_ls8c_ard_3-0-0_110067_2016-08-29_final
2016-11-19 11:08:17	ga_ls8c_ard_3-0-0_108075_2016-11-19_final
2017-02-25 10:52:40	ga_ls8c_ard_3-0-0_106068_2017-02-25_final
2017-04-08 11:30:59	ga_ls8c_ard_3-0-0_112072_2017-04-08_final
2017-06-29 11:17:41	ga_ls8c_ard_3-0-0_110069_2017-06-29_final
2017-07-03 10:55:22	ga_ls8c_ard_3-0-0_106075_2017-07-03_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2018-02-21 10:49:10	ga_ls8c_ard_3-0-0_105075_2018-02-21_final
2018-02-28 10:58:05	ga_ls8c_ard_3-0-0_106082_2018-02-28_final
2018-03-25 10:48:30	ga_ls8c_ard_3-0-0_105074_2018-03-25_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-19 10:51:21	ga_ls8c_ard_3-0-0_106067_2018-05-19_final
2018-05-20 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-05-20_final
2018-06-16 11:19:12	ga_ls8c_ard_3-0-0_110075_2018-06-16_final
2018-06-27 11:01:11	ga_ls8c_ard_3-0-0_107076_2018-06-27_final
2018-10-22 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-10-22_final
2018-11-26 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-26_final
2019-03-05 10:45:41	ga_ls8c_ard_3-0-0_104082_2019-03-05_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-09-23 11:19:26	ga_ls8c_ard_3-1-0_110072_2019-09-23_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-11-24 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-11-24_final
2019-12-14 09:28:58	ga_ls8c_ard_3-2-0_092074_2019-12-13_final
2019-12-19 11:25:10	ga_ls8c_ard_3-2-0_111071_2019-12-19_final
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-06-09 10:55:34	ga_ls8c_ard_3-1-0_106076_2020-06-09_final
2020-07-28 11:37:35	ga_ls8c_ard_3-1-0_113072_2020-07-28_final
2020-08-21 09:11:23	ga_ls8c_ard_3-1-0_089077_2020-08-20_final
2020-09-09 11:20:31	ga_ls8c_ard_3-1-0_110075_2020-09-09_final
2020-09-16 11:25:56	ga_ls8c_ard_3-1-0_111073_2020-09-16_final
2020-10-24 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-24_final
2020-12-09 11:00:31	ga_ls8c_ard_3-1-0_107071_2020-12-09_final
2020-12-20 10:40:46	ga_ls8c_ard_3-2-0_104068_2020-12-20_final
2021-01-27 10:09:28	ga_ls8c_ard_3-2-0_098083_2021-01-27_final
2021-03-07 11:51:08	ga_ls8c_ard_3-2-0_115075_2021-03-07_final
2021-03-08 10:53:07	ga_ls8c_ard_3-2-0_106069_2021-03-08_final
2021-04-25 10:52:24	ga_ls8c_ard_3-2-0_106068_2021-04-25_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-05-05 11:30:10	ga_ls8c_ard_3-2-0_112070_2021-05-05_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-06-08 09:39:37	ga_ls8c_ard_3-2-0_094071_2021-06-08_final
2021-06-19 09:27:07	ga_ls8c_ard_3-2-0_091086_2021-06-18_final
2021-08-06 09:20:11	ga_ls8c_ard_3-2-0_091068_2021-08-05_final
2021-08-08 10:49:06	ga_ls8c_ard_3-2-0_105074_2021-08-08_final
2021-08-18 09:46:10	ga_ls8c_ard_3-2-0_095071_2021-08-18_final
2021-10-07 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-10-07_final
2021-10-11 10:50:13	ga_ls8c_ard_3-2-0_105076_2021-10-11_final
2021-10-30 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-30_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2021-11-19 09:17:26	ga_ls8c_ard_3-2-0_090076_2021-11-18_final
2021-12-19 09:28:59	ga_ls8c_ard_3-2-1_092074_2021-12-18_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-01-23 09:58:32	ga_ls8c_ard_3-2-1_097071_2022-01-23_final
2022-02-23 09:21:07	ga_ls8c_ard_3-2-1_090086_2022-02-22_final
2022-03-15 10:28:48	ga_ls8c_ard_3-2-1_102070_2022-03-15_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-05-21 09:25:13	ga_ls8c_ard_3-2-1_091081_2022-05-20_final
2022-06-05 10:16:57	ga_ls8c_ard_3-2-1_100071_2022-06-05_final
2022-06-08 10:52:17	ga_ls8c_ard_3-2-1_105082_2022-06-08_final
2022-06-26 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-06-26_final
2022-08-14 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-08-14_final
2022-08-27 10:49:56	ga_ls8c_ard_3-2-1_105075_2022-08-27_final
2022-10-05 10:53:24	ga_ls8c_ard_3-2-1_106068_2022-10-05_final
2022-11-11 11:17:31	ga_ls8c_ard_3-2-1_109082_2022-11-11_final
2022-11-18 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-11-18_final
2022-11-26 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-11-26_final
2022-12-11 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-12-11_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-23 10:09:06	ga_ls8c_ard_3-2-1_099066_2022-12-23_final
2022-12-30 10:19:43	ga_ls8c_ard_3-2-1_100077_2022-12-30_final
2023-02-26 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-02-25_final
2023-02-26 10:53:15	ga_ls8c_ard_3-2-1_106069_2023-02-26_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-05-06 11:13:56	ga_ls8c_ard_3-2-1_109076_2023-05-06_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-07-14 11:34:22	ga_ls8c_ard_3-2-1_112080_2023-07-14_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-10-18 09:51:56	ga_ls8c_ard_3-2-1_096070_2023-10-18_final
2023-12-02 09:22:16	ga_ls8c_ard_3-2-1_091073_2023-12-01_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2023-12-28 11:37:50	ga_ls8c_ard_3-2-1_113072_2023-12-28_final
2024-01-11 11:52:31	ga_ls8c_ard_3-2-1_115078_2024-01-11_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_final
2024-02-22 09:11:22	ga_ls8c_ard_3-2-1_089077_2024-02-21_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