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
2013-04-12 10:51:44	ga_ls8c_ard_3-0-0_105076_2013-04-12_final
2013-04-18 10:12:32	ga_ls8c_ard_3-0-0_099071_2013-04-18_final
2013-11-12 10:15:15	ga_ls8c_ard_3-0-0_099078_2013-11-12_final
2014-06-04 10:35:29	ga_ls8c_ard_3-0-0_103072_2014-06-04_final
2014-06-12 11:23:47	ga_ls8c_ard_3-0-0_111069_2014-06-12_final
2014-08-11 10:13:58	ga_ls8c_ard_3-0-0_099079_2014-08-11_final
2014-12-04 10:46:11	ga_ls8c_ard_3-0-0_104082_2014-12-04_final
2014-12-17 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-12-17_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-02-23 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-02-23_final
2015-03-18 11:30:15	ga_ls8c_ard_3-0-0_112070_2015-03-18_final
2015-05-05 11:29:49	ga_ls8c_ard_3-0-0_112070_2015-05-05_final
2015-06-02 10:18:50	ga_ls8c_ard_3-0-0_100078_2015-06-02_final
2015-08-27 11:16:54	ga_ls8c_ard_3-0-0_110067_2015-08-27_final
2016-03-02 11:41:44	ga_ls8c_ard_3-0-0_114067_2016-03-02_final
2016-05-21 10:09:20	ga_ls8c_ard_3-0-0_098084_2016-05-21_final
2016-06-07 10:48:41	ga_ls8c_ard_3-0-0_105074_2016-06-07_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-08-12 10:39:28	ga_ls8c_ard_3-0-0_103081_2016-08-12_final
2016-10-09 11:14:25	ga_ls8c_ard_3-0-0_109075_2016-10-09_final
2016-11-06 09:57:54	ga_ls8c_ard_3-0-0_097069_2016-11-06_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-02-01 10:09:23	ga_ls8c_ard_3-0-0_098083_2017-02-01_final
2017-02-12 11:23:15	ga_ls8c_ard_3-0-0_111067_2017-02-12_final
2017-02-28 09:46:16	ga_ls8c_ard_3-0-0_095072_2017-02-28_final
2017-02-28 11:25:33	ga_ls8c_ard_3-0-0_111073_2017-02-28_final
2017-07-31 11:17:52	ga_ls8c_ard_3-0-0_110069_2017-07-31_final
2017-08-26 10:19:47	ga_ls8c_ard_3-0-0_100078_2017-08-26_final
2017-11-18 09:58:00	ga_ls8c_ard_3-0-0_096085_2017-11-18_final
2017-11-23 10:14:07	ga_ls8c_ard_3-0-0_099079_2017-11-23_final
2018-01-04 10:46:45	ga_ls8c_ard_3-0-0_105068_2018-01-04_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-01-26 10:13:28	ga_ls8c_ard_3-0-0_099078_2018-01-26_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-05-02 11:50:22	ga_ls8c_ard_3-0-0_115075_2018-05-02_final
2018-05-22 09:45:20	ga_ls8c_ard_3-0-0_095072_2018-05-22_final
2018-11-10 10:09:52	ga_ls8c_ard_3-0-0_099069_2018-11-10_final
2019-03-27 10:09:18	ga_ls8c_ard_3-1-0_098084_2019-03-27_final
2019-04-28 10:03:09	ga_ls8c_ard_3-0-0_098069_2019-04-28_final
2019-05-29 11:04:39	ga_ls8c_ard_3-0-0_107083_2019-05-29_final
2019-08-24 11:08:07	ga_ls8c_ard_3-1-0_108075_2019-08-24_final
2019-09-12 09:57:25	ga_ls8c_ard_3-1-0_097068_2019-09-12_final
2019-10-04 11:00:08	ga_ls8c_ard_3-1-0_107070_2019-10-04_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2020-04-04 11:07:13	ga_ls8c_ard_3-1-0_108074_2020-04-04_final
2020-04-14 10:02:09	ga_ls8c_ard_3-2-1_098066_2020-04-14_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-07-02 12:37:15	ga_ls8c_ard_3-2-1_123067_2020-07-02_final
2020-08-22 11:29:57	ga_ls8c_ard_3-1-0_112068_2020-08-22_final
2020-10-14 10:13:27	ga_ls8c_ard_3-1-0_099077_2020-10-14_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-30 09:28:13	ga_ls8c_ard_3-1-0_092072_2020-11-29_final
2020-12-20 10:44:21	ga_ls8c_ard_3-2-0_104077_2020-12-20_final
2021-01-11 10:09:57	ga_ls8c_ard_3-2-0_098084_2021-01-11_final
2021-01-15 09:38:24	ga_ls8c_ard_3-2-0_094067_2021-01-15_final
2021-02-03 10:13:15	ga_ls8c_ard_3-2-0_099077_2021-02-03_final
2021-02-03 10:13:39	ga_ls8c_ard_3-2-0_099078_2021-02-03_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-03-28 10:33:03	ga_ls8c_ard_3-2-0_102081_2021-03-28_final
2021-05-05 11:35:21	ga_ls8c_ard_3-2-0_112083_2021-05-05_final
2021-05-07 09:39:19	ga_ls8c_ard_3-2-0_094071_2021-05-07_final
2021-05-23 09:37:54	ga_ls8c_ard_3-2-0_094067_2021-05-23_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-07 10:48:54	ga_ls8c_ard_3-2-0_105074_2021-07-07_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-09-25 10:50:07	ga_ls8c_ard_3-2-0_105076_2021-09-25_final
2021-10-07 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-10-07_final
2021-10-19 11:38:53	ga_ls8c_ard_3-2-0_113074_2021-10-19_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2022-01-13 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-01-12_final
2022-02-12 11:13:49	ga_ls8c_ard_3-2-1_109074_2022-02-12_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-03-17 10:19:37	ga_ls8c_ard_3-2-1_100078_2022-03-17_final
2022-08-21 11:24:14	ga_ls8c_ard_3-2-1_111068_2022-08-21_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-09-06 11:24:15	ga_ls8c_ard_3-2-1_111068_2022-09-06_final
2022-09-17 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-09-16_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-11-15 09:11:04	ga_ls8c_ard_3-2-1_089075_2022-11-14_final
2022-12-15 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-12-14_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-10-01 10:49:08	ga_ls8c_ard_3-2-1_105074_2023-10-01_final
2023-10-28 10:33:52	ga_ls8c_ard_3-2-1_102082_2023-10-28_final
2023-11-15 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-11-15_final
2023-11-27 09:07:46	ga_ls8c_ard_3-2-1_088083_2023-11-26_final
2023-11-27 10:40:40	ga_ls8c_ard_3-2-1_104068_2023-11-27_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_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