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
2013-04-26 09:23:50	ga_ls8c_ard_3-0-0_091073_2013-04-25_final
2013-10-11 10:11:01	ga_ls8c_ard_3-0-0_099067_2013-10-11_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2014-02-03 10:46:15	ga_ls8c_ard_3-0-0_104080_2014-02-03_final
2014-10-04 09:34:13	ga_ls8c_ard_3-0-0_093072_2014-10-04_final
2014-11-28 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-11-28_final
2014-12-09 09:20:12	ga_ls8c_ard_3-0-0_091068_2014-12-08_final
2015-01-04 09:56:49	ga_ls8c_ard_3-0-0_097067_2015-01-04_final
2015-01-27 10:03:18	ga_ls8c_ard_3-0-0_098068_2015-01-27_final
2015-03-16 10:09:20	ga_ls8c_ard_3-0-0_098084_2015-03-16_final
2015-06-15 09:46:05	ga_ls8c_ard_3-0-0_095073_2015-06-15_final
2015-07-05 09:21:55	ga_ls8c_ard_3-0-0_091074_2015-07-04_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-10-23 09:34:07	ga_ls8c_ard_3-0-0_093072_2015-10-23_final
2016-01-18 11:18:00	ga_ls8c_ard_3-0-0_110069_2016-01-18_final
2016-02-13 10:22:03	ga_ls8c_ard_3-0-0_100084_2016-02-13_final
2016-03-27 10:03:16	ga_ls8c_ard_3-0-0_097084_2016-03-27_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-05-28 11:52:51	ga_ls8c_ard_3-0-0_115080_2016-05-28_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-10-10 11:57:41	ga_ls8c_ard_3-0-0_116075_2016-10-10_final
2016-10-10 11:58:05	ga_ls8c_ard_3-0-0_116076_2016-10-10_final
2016-10-19 11:53:32	ga_ls8c_ard_3-0-0_115080_2016-10-19_final
2016-12-28 09:35:28	ga_ls8c_ard_3-0-0_093075_2016-12-28_final
2017-01-29 09:33:43	ga_ls8c_ard_3-0-0_093071_2017-01-29_final
2017-03-04 09:21:55	ga_ls8c_ard_3-0-0_091073_2017-03-03_final
2017-03-21 10:09:23	ga_ls8c_ard_3-0-0_098084_2017-03-21_final
2017-04-01 09:45:11	ga_ls8c_ard_3-0-0_095070_2017-04-01_final
2017-04-05 09:19:38	ga_ls8c_ard_3-0-0_091068_2017-04-04_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-07-27 10:09:40	ga_ls8c_ard_3-0-0_098084_2017-07-27_final
2017-07-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2017-07-29_final
2017-08-09 09:34:03	ga_ls8c_ard_3-0-0_093072_2017-08-09_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2017-11-09 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-11-09_final
2017-12-31 11:15:05	ga_ls8c_ard_3-0-0_109077_2017-12-31_final
2018-01-27 10:58:43	ga_ls8c_ard_3-0-0_106083_2018-01-27_final
2018-02-01 09:37:07	ga_ls8c_ard_3-0-0_093080_2018-02-01_final
2018-03-25 10:48:54	ga_ls8c_ard_3-0-0_105075_2018-03-25_final
2018-04-04 09:46:37	ga_ls8c_ard_3-0-0_095074_2018-04-04_final
2018-05-31 09:38:37	ga_ls8c_ard_3-0-0_094071_2018-05-31_final
2018-09-12 10:32:52	ga_ls8c_ard_3-0-0_102081_2018-09-12_final
2018-10-11 09:56:35	ga_ls8c_ard_3-0-0_097067_2018-10-11_final
2018-11-30 09:45:55	ga_ls8c_ard_3-0-0_095071_2018-11-30_final
2018-12-16 09:46:40	ga_ls8c_ard_3-0-0_095073_2018-12-16_final
2019-01-03 09:34:19	ga_ls8c_ard_3-0-0_093073_2019-01-03_final
2019-01-10 09:39:41	ga_ls8c_ard_3-0-0_094071_2019-01-10_final
2019-01-22 10:03:33	ga_ls8c_ard_3-0-0_098069_2019-01-22_final
2019-02-11 09:39:35	ga_ls8c_ard_3-0-0_094071_2019-02-11_final
2019-02-24 10:49:07	ga_ls8c_ard_3-0-0_105075_2019-02-24_final
2019-04-14 11:34:32	ga_ls8c_ard_3-1-0_112081_2019-04-14_final
2019-06-25 10:42:18	ga_ls8c_ard_3-1-0_104073_2019-06-25_final
2019-07-14 09:33:35	ga_ls8c_ard_3-1-0_093071_2019-07-14_final
2019-09-09 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-09-08_final
2019-10-09 11:20:41	ga_ls8c_ard_3-1-0_110075_2019-10-09_final
2019-10-25 11:18:42	ga_ls8c_ard_3-1-0_110070_2019-10-25_final
2019-11-10 11:18:17	ga_ls8c_ard_3-1-0_110069_2019-11-10_final
2019-11-20 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-11-20_final
2019-12-09 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-12-09_final
2019-12-22 11:57:39	ga_ls8c_ard_3-1-0_116075_2019-12-22_final
2020-01-08 09:20:17	ga_ls8c_ard_3-1-0_091068_2020-01-07_final
2020-01-08 09:21:53	ga_ls8c_ard_3-1-0_091072_2020-01-07_final
2020-01-21 10:30:37	ga_ls8c_ard_3-1-0_102074_2020-01-21_final
2020-03-11 11:57:41	ga_ls8c_ard_3-1-0_116076_2020-03-11_final
2020-05-30 11:57:16	ga_ls8c_ard_3-1-0_116076_2020-05-30_final
2020-06-21 09:39:55	ga_ls8c_ard_3-1-0_094072_2020-06-21_final
2020-07-02 09:21:52	ga_ls8c_ard_3-1-0_091073_2020-07-01_final
2020-07-05 11:31:17	ga_ls8c_ard_3-1-0_112072_2020-07-05_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-10-17 10:46:21	ga_ls8c_ard_3-1-0_104082_2020-10-17_final
2020-12-13 10:36:12	ga_ls8c_ard_3-1-0_103072_2020-12-13_final
2021-02-26 11:57:48	ga_ls8c_ard_3-2-0_116076_2021-02-26_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-07-16 09:07:27	ga_ls8c_ard_3-2-0_088083_2021-07-15_final
2021-08-04 09:34:31	ga_ls8c_ard_3-2-0_093073_2021-08-04_final
2021-08-22 09:28:39	ga_ls8c_ard_3-2-0_091089_2021-08-21_final
2021-09-09 10:49:16	ga_ls8c_ard_3-2-0_105074_2021-09-09_final
2021-12-14 09:10:28	ga_ls8c_ard_3-2-1_089074_2021-12-13_final
2022-02-05 09:28:00	ga_ls8c_ard_3-2-1_092072_2022-02-04_final
2022-03-11 12:31:15	ga_ls8c_ard_3-2-1_122067_2022-03-11_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-07-20 11:24:22	ga_ls8c_ard_3-2-1_111069_2022-07-20_final
2022-09-11 11:48:02	ga_ls8c_ard_3-2-1_114081_2022-09-11_final
2022-10-14 10:49:30	ga_ls8c_ard_3-2-1_105074_2022-10-14_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-11-18 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-11-18_final
2023-01-15 10:18:01	ga_ls8c_ard_3-2-1_100073_2023-01-15_final
2023-02-21 10:34:48	ga_ls8c_ard_3-2-1_103069_2023-02-21_final
2023-04-30 10:08:13	ga_ls8c_ard_3-2-1_099066_2023-04-30_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-05-20 11:23:22	ga_ls8c_ard_3-2-1_111069_2023-05-20_final
2023-06-09 09:21:29	ga_ls8c_ard_3-2-1_091073_2023-06-08_final
2023-08-13 11:47:18	ga_ls8c_ard_3-2-1_114081_2023-08-13_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-11-07 09:28:50	ga_ls8c_ard_3-2-1_092074_2023-11-06_final
2024-01-07 10:35:56	ga_ls8c_ard_3-2-1_103072_2024-01-07_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