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
2013-03-31 11:10:02	ga_ls8c_ard_3-0-0_108073_2013-03-31_final
2013-04-18 10:15:44	ga_ls8c_ard_3-0-0_099079_2013-04-18_final
2013-04-18 10:16:55	ga_ls8c_ard_3-0-0_099082_2013-04-18_final
2013-05-26 09:34:06	ga_ls8c_ard_3-0-0_093067_2013-05-26_final
2013-08-15 10:24:06	ga_ls8c_ard_3-0-0_100084_2013-08-15_final
2013-10-11 10:11:49	ga_ls8c_ard_3-0-0_099069_2013-10-11_final
2013-10-14 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-10-14_final
2013-10-31 11:27:01	ga_ls8c_ard_3-0-0_111072_2013-10-31_final
2013-11-28 11:54:25	ga_ls8c_ard_3-0-0_115079_2013-11-28_final
2014-01-13 10:26:17	ga_ls8c_ard_3-0-0_101076_2014-01-13_final
2014-02-08 11:01:55	ga_ls8c_ard_3-0-0_107073_2014-02-08_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-09-09 11:23:14	ga_ls8c_ard_3-0-0_110082_2014-09-09_final
2014-10-16 10:03:47	ga_ls8c_ard_3-0-0_097084_2014-10-16_final
2014-12-21 11:25:25	ga_ls8c_ard_3-0-0_111072_2014-12-21_final
2015-03-14 10:16:30	ga_ls8c_ard_3-0-0_100071_2015-03-14_final
2015-04-12 09:50:10	ga_ls8c_ard_3-0-0_095083_2015-04-12_final
2015-05-30 11:23:34	ga_ls8c_ard_3-0-0_111070_2015-05-30_final
2015-06-04 11:46:11	ga_ls8c_ard_3-0-0_114080_2015-06-04_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2015-07-27 10:27:05	ga_ls8c_ard_3-0-0_101082_2015-07-27_final
2015-08-30 10:14:07	ga_ls8c_ard_3-0-0_099080_2015-08-30_final
2016-02-01 11:32:19	ga_ls8c_ard_3-0-0_112074_2016-02-01_final
2016-02-02 10:36:17	ga_ls8c_ard_3-0-0_103073_2016-02-02_final
2016-03-19 10:46:48	ga_ls8c_ard_3-0-0_105069_2016-03-19_final
2016-03-20 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-03-20_final
2016-03-30 10:28:08	ga_ls8c_ard_3-0-0_102069_2016-03-30_final
2016-04-04 10:49:03	ga_ls8c_ard_3-0-0_105075_2016-04-04_final
2016-04-21 11:31:48	ga_ls8c_ard_3-0-0_112074_2016-04-21_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-05-30 11:07:56	ga_ls8c_ard_3-0-0_108076_2017-05-30_final
2017-06-15 11:08:03	ga_ls8c_ard_3-0-0_108076_2017-06-15_final
2017-07-15 11:20:07	ga_ls8c_ard_3-0-0_110075_2017-07-15_final
2017-08-25 11:17:48	ga_ls8c_ard_3-0-0_109084_2017-08-25_final
2017-11-28 10:30:13	ga_ls8c_ard_3-0-0_102073_2017-11-28_final
2017-12-12 10:46:10	ga_ls8c_ard_3-0-0_104082_2017-12-12_final
2017-12-13 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-13_final
2017-12-25 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-12-25_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-03-19 11:25:37	ga_ls8c_ard_3-0-0_111074_2018-03-19_final
2018-03-20 10:28:48	ga_ls8c_ard_3-0-0_102071_2018-03-20_final
2018-06-09 11:13:20	ga_ls8c_ard_3-0-0_109076_2018-06-09_final
2018-07-05 11:51:30	ga_ls8c_ard_3-0-0_115078_2018-07-05_final
2018-07-30 11:41:07	ga_ls8c_ard_3-0-0_114067_2018-07-30_final
2018-08-20 10:27:21	ga_ls8c_ard_3-0-0_101083_2018-08-20_final
2018-09-10 10:42:01	ga_ls8c_ard_3-0-0_104073_2018-09-10_final
2018-09-25 11:38:08	ga_ls8c_ard_3-0-0_113074_2018-09-25_final
2018-12-01 10:29:35	ga_ls8c_ard_3-0-0_102072_2018-12-01_final
2018-12-29 10:54:16	ga_ls8c_ard_3-0-0_106072_2018-12-29_final
2019-01-15 09:58:12	ga_ls8c_ard_3-0-0_097071_2019-01-15_final
2019-03-18 10:10:19	ga_ls8c_ard_3-1-0_099071_2019-03-18_final
2019-04-17 10:26:31	ga_ls8c_ard_3-1-0_101081_2019-04-17_final
2019-06-04 10:25:14	ga_ls8c_ard_3-0-0_101077_2019-06-04_final
2019-07-28 11:24:07	ga_ls8c_ard_3-1-0_111069_2019-07-28_final
2019-09-06 10:36:03	ga_ls8c_ard_3-1-0_103072_2019-09-06_final
2019-09-09 11:06:11	ga_ls8c_ard_3-1-0_108070_2019-09-09_final
2019-09-30 11:26:02	ga_ls8c_ard_3-1-0_111073_2019-09-30_final
2019-10-06 10:49:46	ga_ls8c_ard_3-1-0_105075_2019-10-06_final
2019-10-12 10:14:42	ga_ls8c_ard_3-1-0_099080_2019-10-12_final
2019-11-12 09:34:36	ga_ls8c_ard_3-1-0_092088_2019-11-12_final
2020-01-15 09:26:03	ga_ls8c_ard_3-1-0_092067_2020-01-14_final
2020-01-28 10:34:46	ga_ls8c_ard_3-1-0_103069_2020-01-28_final
2020-02-05 11:24:09	ga_ls8c_ard_3-1-0_111069_2020-02-05_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-05-02 09:56:50	ga_ls8c_ard_3-1-0_096084_2020-05-02_final
2020-05-23 10:09:22	ga_ls8c_ard_3-1-0_099069_2020-05-23_final
2020-07-21 11:31:22	ga_ls8c_ard_3-1-0_112072_2020-07-21_final
2020-07-28 09:58:42	ga_ls8c_ard_3-1-0_097072_2020-07-28_final
2020-09-02 11:17:53	ga_ls8c_ard_3-1-0_109084_2020-09-02_final
2021-01-28 09:11:27	ga_ls8c_ard_3-2-0_089077_2021-01-27_final
2021-03-07 10:15:51	ga_ls8c_ard_3-2-0_099084_2021-03-07_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-03-24 10:55:23	ga_ls8c_ard_3-2-0_106075_2021-03-24_final
2021-05-10 10:10:15	ga_ls8c_ard_3-2-0_099071_2021-05-10_final
2021-07-13 10:13:02	ga_ls8c_ard_3-2-0_099077_2021-07-13_final
2021-08-13 09:29:36	ga_ls8c_ard_3-2-0_092076_2021-08-12_final
2021-10-02 10:53:33	ga_ls8c_ard_3-2-0_106069_2021-10-02_final
2021-10-13 10:36:16	ga_ls8c_ard_3-2-0_103072_2021-10-13_final
2021-10-14 09:40:38	ga_ls8c_ard_3-2-0_094072_2021-10-14_final
2021-11-18 10:13:51	ga_ls8c_ard_3-2-0_099078_2021-11-18_final
2022-01-27 11:14:40	ga_ls8c_ard_3-2-1_109076_2022-01-27_final
2022-05-19 09:39:58	ga_ls8c_ard_3-2-1_093087_2022-05-19_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-06-23 11:47:15	ga_ls8c_ard_3-2-1_114080_2022-06-23_final
2022-08-18 10:53:19	ga_ls8c_ard_3-2-1_106068_2022-08-18_final
2022-10-14 09:12:36	ga_ls8c_ard_3-2-1_089079_2022-10-13_final
2022-12-24 09:21:28	ga_ls8c_ard_3-2-1_090086_2022-12-23_final
2023-02-06 09:40:36	ga_ls8c_ard_3-2-1_094072_2023-02-06_final
2023-02-11 09:59:05	ga_ls8c_ard_3-2-1_097072_2023-02-11_final
2023-03-06 11:45:26	ga_ls8c_ard_3-2-1_114076_2023-03-06_final
2023-03-24 09:57:12	ga_ls8c_ard_3-2-1_096084_2023-03-24_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-06-04 09:06:52	ga_ls8c_ard_3-2-1_088083_2023-06-03_final
2023-09-21 11:51:40	ga_ls8c_ard_3-2-1_115076_2023-09-21_final
2023-09-25 11:25:47	ga_ls8c_ard_3-2-1_111073_2023-09-25_final
2023-10-01 10:49:08	ga_ls8c_ard_3-2-1_105074_2023-10-01_final
2023-11-02 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-01_final
2023-12-19 10:04:22	ga_ls8c_ard_3-2-1_098070_2023-12-19_final
2024-01-27 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-01-27_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_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