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
2013-04-13 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-04-13_final
2013-04-17 11:07:46	ga_ls8c_ard_3-0-0_108070_2013-04-17_final
2013-05-19 11:13:09	ga_ls8c_ard_3-0-0_108083_2013-05-19_final
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2013-09-25 10:15:00	ga_ls8c_ard_3-0-0_099077_2013-09-25_final
2013-12-06 11:01:23	ga_ls8c_ard_3-0-0_107070_2013-12-06_final
2014-01-10 11:32:44	ga_ls8c_ard_3-0-0_112072_2014-01-10_final
2014-01-31 11:53:53	ga_ls8c_ard_3-0-0_115079_2014-01-31_final
2014-02-19 10:46:02	ga_ls8c_ard_3-0-0_104080_2014-02-19_final
2014-04-27 11:17:08	ga_ls8c_ard_3-0-0_109083_2014-04-27_final
2014-08-16 10:32:55	ga_ls8c_ard_3-0-0_102080_2014-08-16_final
2014-08-24 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-08-24_final
2014-11-20 10:33:49	ga_ls8c_ard_3-0-0_102082_2014-11-20_final
2014-12-15 10:23:11	ga_ls8c_ard_3-0-0_101071_2014-12-15_final
2015-06-30 09:05:43	ga_ls8c_ard_3-0-0_088080_2015-06-29_final
2015-07-24 11:31:04	ga_ls8c_ard_3-0-0_112072_2015-07-24_final
2015-11-22 11:28:14	ga_ls8c_ard_3-0-0_111079_2015-11-22_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-12-24 11:25:49	ga_ls8c_ard_3-0-0_111073_2015-12-24_final
2016-04-03 10:09:47	ga_ls8c_ard_3-0-0_098085_2016-04-03_final
2016-05-09 09:42:59	ga_ls8c_ard_3-0-0_094080_2016-05-09_final
2016-07-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2016-07-28_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-11-09 10:33:59	ga_ls8c_ard_3-0-0_102082_2016-11-09_final
2016-11-11 10:20:01	ga_ls8c_ard_3-0-0_100078_2016-11-11_final
2016-12-03 09:38:33	ga_ls8c_ard_3-0-0_094067_2016-12-03_final
2017-01-21 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-01-21_final
2017-01-27 09:46:29	ga_ls8c_ard_3-0-0_095072_2017-01-27_final
2017-02-02 10:47:03	ga_ls8c_ard_3-0-0_105069_2017-02-02_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-04-18 10:28:18	ga_ls8c_ard_3-0-0_102070_2017-04-18_final
2017-06-17 10:55:18	ga_ls8c_ard_3-0-0_106075_2017-06-17_final
2017-06-26 10:49:34	ga_ls8c_ard_3-0-0_105076_2017-06-26_final
2017-06-29 09:40:00	ga_ls8c_ard_3-0-0_094072_2017-06-29_final
2017-07-07 10:33:27	ga_ls8c_ard_3-0-0_102082_2017-07-07_final
2017-10-01 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-10-01_final
2017-10-12 11:14:48	ga_ls8c_ard_3-0-0_109076_2017-10-12_final
2017-11-07 10:13:24	ga_ls8c_ard_3-0-0_099077_2017-11-07_final
2017-11-15 12:37:42	ga_ls8c_ard_3-2-1_123067_2017-11-15_final
2017-12-27 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-12-27_final
2018-01-08 10:25:35	ga_ls8c_ard_3-0-0_101077_2018-01-08_final
2018-04-13 09:41:09	ga_ls8c_ard_3-0-0_094076_2018-04-13_final
2018-07-16 11:30:39	ga_ls8c_ard_3-0-0_112072_2018-07-16_final
2018-11-14 11:24:49	ga_ls8c_ard_3-0-0_111071_2018-11-14_final
2019-01-13 10:13:22	ga_ls8c_ard_3-0-0_099078_2019-01-13_final
2019-03-09 10:19:20	ga_ls8c_ard_3-1-0_100078_2019-03-09_final
2019-08-22 09:38:24	ga_ls8c_ard_3-1-0_094067_2019-08-22_final
2019-10-12 10:13:54	ga_ls8c_ard_3-1-0_099078_2019-10-12_final
2020-01-07 10:21:54	ga_ls8c_ard_3-1-0_100083_2020-01-07_final
2020-01-15 11:10:55	ga_ls8c_ard_3-1-0_108082_2020-01-15_final
2020-01-25 11:41:58	ga_ls8c_ard_3-1-0_114067_2020-01-25_final
2020-02-11 10:52:38	ga_ls8c_ard_3-1-0_105083_2020-02-11_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-07-16 11:14:24	ga_ls8c_ard_3-1-0_109076_2020-07-16_final
2020-09-03 11:58:45	ga_ls8c_ard_3-1-0_116078_2020-09-03_final
2020-10-11 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-10-11_final
2020-10-11 09:40:33	ga_ls8c_ard_3-1-0_094072_2020-10-11_final
2020-11-28 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-11-28_final
2021-06-18 11:57:14	ga_ls8c_ard_3-2-0_116075_2021-06-18_final
2021-06-18 11:57:38	ga_ls8c_ard_3-2-0_116076_2021-06-18_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-07-22 10:08:06	ga_ls8c_ard_3-2-0_098080_2021-07-22_final
2021-10-01 10:14:16	ga_ls8c_ard_3-2-0_099079_2021-10-01_final
2021-10-26 10:04:59	ga_ls8c_ard_3-2-0_098071_2021-10-26_final
2021-11-15 09:46:34	ga_ls8c_ard_3-2-0_094087_2021-11-15_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-20 10:09:03	ga_ls8c_ard_3-2-1_099066_2021-12-20_final
2022-01-09 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-01-09_final
2022-01-15 10:48:02	ga_ls8c_ard_3-2-1_105071_2022-01-15_final
2022-01-24 09:07:42	ga_ls8c_ard_3-2-1_088083_2022-01-23_final
2022-02-07 09:17:37	ga_ls8c_ard_3-2-1_090077_2022-02-06_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-11-04 11:08:35	ga_ls8c_ard_3-2-1_108075_2022-11-04_final
2022-11-27 09:36:12	ga_ls8c_ard_3-2-1_093076_2022-11-27_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2022-11-30 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-30_final
2022-12-13 09:34:09	ga_ls8c_ard_3-2-1_093071_2022-12-13_final
2023-01-31 11:58:10	ga_ls8c_ard_3-2-1_116076_2023-01-31_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-02-24 09:31:08	ga_ls8c_ard_3-2-1_092080_2023-02-24_final
2023-02-24 11:07:13	ga_ls8c_ard_3-2-1_108073_2023-02-24_final
2023-02-27 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-02-27_final
2023-03-31 11:41:26	ga_ls8c_ard_3-2-1_113082_2023-03-31_final
2023-04-02 11:25:27	ga_ls8c_ard_3-2-1_111073_2023-04-02_final
2023-04-13 09:33:48	ga_ls8c_ard_3-2-1_092088_2023-04-13_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_final
2023-05-05 10:33:05	ga_ls8c_ard_3-2-1_102082_2023-05-05_final
2023-07-05 09:56:25	ga_ls8c_ard_3-2-1_097067_2023-07-05_final
2023-07-06 10:42:53	ga_ls8c_ard_3-2-1_104075_2023-07-06_final
2023-10-08 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-10-07_final
2023-11-02 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-01_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-11-26 10:04:12	ga_ls8c_ard_3-2-1_097085_2023-11-26_final
2024-01-05 09:10:35	ga_ls8c_ard_3-2-1_089075_2024-01-04_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_final
2024-02-21 10:07:48	ga_ls8c_ard_3-2-1_098079_2024-02-21_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years