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
2013-07-16 10:04:56	ga_ls8c_ard_3-0-0_098067_2013-07-16_final
2013-09-12 10:48:01	ga_ls8c_ard_3-0-0_104082_2013-09-12_final
2013-11-12 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-11-12_final
2014-03-04 10:11:17	ga_ls8c_ard_3-0-0_099071_2014-03-04_final
2014-03-20 10:09:58	ga_ls8c_ard_3-0-0_099068_2014-03-20_final
2014-05-16 10:09:16	ga_ls8c_ard_3-0-0_098084_2014-05-16_final
2014-05-23 10:13:25	ga_ls8c_ard_3-0-0_099079_2014-05-23_final
2014-05-27 11:24:02	ga_ls8c_ard_3-0-0_111070_2014-05-27_final
2014-09-09 09:39:58	ga_ls8c_ard_3-0-0_094071_2014-09-09_final
2014-10-27 11:19:42	ga_ls8c_ard_3-0-0_110073_2014-10-27_final
2014-12-02 10:54:10	ga_ls8c_ard_3-0-0_106071_2014-12-02_final
2014-12-03 09:57:21	ga_ls8c_ard_3-0-0_097068_2014-12-03_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2014-12-17 10:10:51	ga_ls8c_ard_3-0-0_099071_2014-12-17_final
2014-12-25 11:05:03	ga_ls8c_ard_3-0-0_107083_2014-12-25_final
2014-12-27 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-12-27_final
2015-02-03 11:51:33	ga_ls8c_ard_3-0-0_115076_2015-02-03_final
2015-03-20 09:40:12	ga_ls8c_ard_3-0-0_094073_2015-03-20_final
2015-04-19 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-19_final
2015-06-07 10:39:02	ga_ls8c_ard_3-0-0_103082_2015-06-07_final
2015-07-14 10:55:07	ga_ls8c_ard_3-0-0_106075_2015-07-14_final
2015-08-27 11:17:42	ga_ls8c_ard_3-0-0_110069_2015-08-27_final
2015-09-29 10:22:42	ga_ls8c_ard_3-0-0_101070_2015-09-29_final
2016-06-22 10:03:06	ga_ls8c_ard_3-0-0_098068_2016-06-22_final
2016-07-24 10:09:44	ga_ls8c_ard_3-0-0_098084_2016-07-24_final
2016-08-28 10:38:00	ga_ls8c_ard_3-0-0_103077_2016-08-28_final
2016-09-05 11:24:18	ga_ls8c_ard_3-0-0_111069_2016-09-05_final
2016-09-11 10:49:37	ga_ls8c_ard_3-0-0_105075_2016-09-11_final
2016-11-21 10:55:31	ga_ls8c_ard_3-0-0_106074_2016-11-21_final
2017-01-20 09:43:33	ga_ls8c_ard_3-0-0_094080_2017-01-20_final
2017-01-26 10:42:31	ga_ls8c_ard_3-0-0_104073_2017-01-26_final
2017-03-08 10:37:38	ga_ls8c_ard_3-0-0_103077_2017-03-08_final
2017-04-30 10:54:28	ga_ls8c_ard_3-0-0_106074_2017-04-30_final
2017-05-15 10:14:33	ga_ls8c_ard_3-0-0_099082_2017-05-15_final
2017-06-10 10:49:28	ga_ls8c_ard_3-0-0_105076_2017-06-10_final
2017-06-11 11:31:09	ga_ls8c_ard_3-0-0_112072_2017-06-11_final
2017-06-29 11:18:05	ga_ls8c_ard_3-0-0_110070_2017-06-29_final
2017-08-09 11:16:56	ga_ls8c_ard_3-0-0_109082_2017-08-09_final
2017-09-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-09-20_final
2017-10-08 10:01:02	ga_ls8c_ard_3-0-0_097077_2017-10-08_final
2017-11-11 09:52:39	ga_ls8c_ard_3-0-0_095087_2017-11-11_final
2017-12-03 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-12-03_final
2018-02-15 09:45:25	ga_ls8c_ard_3-0-0_095070_2018-02-15_final
2018-07-16 09:50:58	ga_ls8c_ard_3-0-0_096070_2018-07-16_final
2018-09-11 11:29:17	ga_ls8c_ard_3-0-0_111083_2018-09-11_final
2018-11-04 10:48:55	ga_ls8c_ard_3-0-0_105074_2018-11-04_final
2019-02-07 10:09:54	ga_ls8c_ard_3-0-0_098085_2019-02-07_final
2019-02-08 10:49:10	ga_ls8c_ard_3-0-0_105075_2019-02-08_final
2019-04-21 09:56:35	ga_ls8c_ard_3-0-0_097068_2019-04-21_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-04-18 09:40:12	ga_ls8c_ard_3-1-0_094073_2020-04-18_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-07-03 10:09:08	ga_ls8c_ard_3-1-0_098083_2020-07-03_final
2020-11-15 11:53:05	ga_ls8c_ard_3-1-0_115079_2020-11-15_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2021-01-04 11:38:42	ga_ls8c_ard_3-2-0_113074_2021-01-04_final
2021-01-12 10:49:36	ga_ls8c_ard_3-2-0_105075_2021-01-12_final
2021-05-04 09:10:50	ga_ls8c_ard_3-2-0_089077_2021-05-03_final
2021-06-17 09:39:52	ga_ls8c_ard_3-2-0_093087_2021-06-17_final
2021-07-05 11:01:16	ga_ls8c_ard_3-2-0_107074_2021-07-05_final
2021-07-11 10:27:47	ga_ls8c_ard_3-2-0_101083_2021-07-11_final
2021-07-13 11:52:19	ga_ls8c_ard_3-2-0_115078_2021-07-13_final
2021-07-19 09:33:59	ga_ls8c_ard_3-2-0_093072_2021-07-19_final
2021-08-01 10:40:29	ga_ls8c_ard_3-2-0_104068_2021-08-01_final
2021-08-30 10:13:20	ga_ls8c_ard_3-2-0_099077_2021-08-30_final
2021-09-05 09:35:29	ga_ls8c_ard_3-2-0_093075_2021-09-05_final
2021-10-08 10:20:54	ga_ls8c_ard_3-2-0_100080_2021-10-08_final
2021-10-09 09:22:29	ga_ls8c_ard_3-2-0_091073_2021-10-08_final
2021-10-11 10:49:49	ga_ls8c_ard_3-2-0_105075_2021-10-11_final
2021-10-23 09:32:29	ga_ls8c_ard_3-2-0_093067_2021-10-23_final
2021-11-19 09:21:25	ga_ls8c_ard_3-2-0_090086_2021-11-18_final
2021-12-11 10:18:51	ga_ls8c_ard_3-2-1_100075_2021-12-11_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-02-13 10:19:23	ga_ls8c_ard_3-2-1_100077_2022-02-13_final
2022-04-08 11:23:41	ga_ls8c_ard_3-2-1_110084_2022-04-08_final
2022-04-28 10:58:08	ga_ls8c_ard_3-2-1_106082_2022-04-28_final
2022-05-17 11:24:02	ga_ls8c_ard_3-2-1_111069_2022-05-17_final
2022-05-18 10:33:36	ga_ls8c_ard_3-2-1_102082_2022-05-18_final
2022-05-28 11:09:52	ga_ls8c_ard_3-2-1_108080_2022-05-28_final
2022-06-02 11:29:41	ga_ls8c_ard_3-2-1_111083_2022-06-02_final
2022-07-12 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-07-12_final
2022-07-14 10:23:18	ga_ls8c_ard_3-2-1_101071_2022-07-14_final
2022-07-20 09:51:05	ga_ls8c_ard_3-2-1_095083_2022-07-20_final
2022-07-25 10:03:42	ga_ls8c_ard_3-2-1_098068_2022-07-25_final
2022-07-29 11:19:30	ga_ls8c_ard_3-2-1_110072_2022-07-29_final
2022-08-02 09:17:08	ga_ls8c_ard_3-2-1_090075_2022-08-01_final
2022-10-30 09:14:21	ga_ls8c_ard_3-2-1_089083_2022-10-29_final
2022-11-03 10:26:07	ga_ls8c_ard_3-2-1_101077_2022-11-03_final
2022-12-17 09:12:35	ga_ls8c_ard_3-2-1_089079_2022-12-16_final
2022-12-31 11:05:22	ga_ls8c_ard_3-2-1_107083_2022-12-31_final
2023-01-16 09:25:11	ga_ls8c_ard_3-2-1_091080_2023-01-15_final
2023-01-20 10:36:09	ga_ls8c_ard_3-2-1_103072_2023-01-20_final
2023-02-27 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-02-27_final
2023-03-03 11:14:34	ga_ls8c_ard_3-2-1_109076_2023-03-03_final
2023-03-23 09:12:22	ga_ls8c_ard_3-2-1_089080_2023-03-22_final
2023-06-05 09:50:57	ga_ls8c_ard_3-2-1_095085_2023-06-05_final
2023-06-05 09:51:21	ga_ls8c_ard_3-2-1_095086_2023-06-05_final
2023-08-20 10:12:41	ga_ls8c_ard_3-2-1_099076_2023-08-20_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-28 10:12:43	ga_ls8c_ard_3-2-1_099076_2024-02-28_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