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
2013-04-03 09:50:37	ga_ls8c_ard_3-0-0_095078_2013-04-03_final
2013-07-07 11:54:47	ga_ls8c_ard_3-0-0_115079_2013-07-07_final
2013-08-05 09:46:13	ga_ls8c_ard_3-0-0_094082_2013-08-05_final
2013-08-10 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-08-10_final
2013-09-13 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-09-13_final
2013-09-29 09:50:16	ga_ls8c_ard_3-0-0_095077_2013-09-29_final
2013-10-31 09:50:31	ga_ls8c_ard_3-0-0_095078_2013-10-31_final
2013-12-18 09:49:29	ga_ls8c_ard_3-0-0_095076_2013-12-18_final
2014-01-28 09:43:43	ga_ls8c_ard_3-0-0_094078_2014-01-28_final
2014-02-04 09:49:49	ga_ls8c_ard_3-0-0_095078_2014-02-04_final
2014-02-13 09:43:28	ga_ls8c_ard_3-0-0_094078_2014-02-13_final
2014-04-07 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-04-07_final
2014-04-18 09:42:32	ga_ls8c_ard_3-0-0_094078_2014-04-18_final
2014-05-04 09:42:17	ga_ls8c_ard_3-0-0_094078_2014-05-04_final
2014-05-11 09:48:47	ga_ls8c_ard_3-0-0_095079_2014-05-11_final
2014-07-07 09:41:15	ga_ls8c_ard_3-0-0_094075_2014-07-07_final
2014-08-08 09:42:39	ga_ls8c_ard_3-0-0_094078_2014-08-08_final
2014-08-15 09:52:27	ga_ls8c_ard_3-0-0_095087_2014-08-15_final
2014-09-09 09:42:45	ga_ls8c_ard_3-0-0_094078_2014-09-09_final
2014-10-02 09:49:22	ga_ls8c_ard_3-0-0_095079_2014-10-02_final
2014-10-02 09:49:46	ga_ls8c_ard_3-0-0_095080_2014-10-02_final
2014-10-18 09:48:38	ga_ls8c_ard_3-0-0_095077_2014-10-18_final
2015-03-11 09:47:38	ga_ls8c_ard_3-0-0_095076_2015-03-11_final
2015-05-21 11:33:19	ga_ls8c_ard_3-0-0_112079_2015-05-21_final
2015-05-23 09:41:40	ga_ls8c_ard_3-0-0_094078_2015-05-23_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-09-19 09:48:45	ga_ls8c_ard_3-0-0_095078_2015-09-19_final
2015-10-05 09:48:25	ga_ls8c_ard_3-0-0_095077_2015-10-05_final
2015-10-14 09:42:37	ga_ls8c_ard_3-0-0_094078_2015-10-14_final
2015-12-17 09:42:45	ga_ls8c_ard_3-0-0_094078_2015-12-17_final
2016-03-06 09:42:30	ga_ls8c_ard_3-0-0_094078_2016-03-06_final
2016-03-13 09:48:39	ga_ls8c_ard_3-0-0_095078_2016-03-13_final
2016-03-29 09:48:05	ga_ls8c_ard_3-0-0_095077_2016-03-29_final
2016-04-23 09:42:32	ga_ls8c_ard_3-0-0_094079_2016-04-23_final
2016-08-04 09:48:25	ga_ls8c_ard_3-0-0_095077_2016-08-04_final
2016-12-03 09:42:57	ga_ls8c_ard_3-0-0_094078_2016-12-03_final
2017-02-26 11:39:31	ga_ls8c_ard_3-0-0_113077_2017-02-26_final
2017-03-09 09:42:24	ga_ls8c_ard_3-0-0_094078_2017-03-09_final
2017-04-10 09:42:07	ga_ls8c_ard_3-0-0_094078_2017-04-10_final
2017-05-03 09:48:04	ga_ls8c_ard_3-0-0_095078_2017-05-03_final
2017-05-19 09:49:52	ga_ls8c_ard_3-0-0_095082_2017-05-19_final
2017-09-01 09:42:43	ga_ls8c_ard_3-0-0_094078_2017-09-01_final
2017-09-24 09:48:35	ga_ls8c_ard_3-0-0_095077_2017-09-24_final
2017-09-24 09:48:59	ga_ls8c_ard_3-0-0_095078_2017-09-24_final
2018-02-08 09:42:28	ga_ls8c_ard_3-0-0_094078_2018-02-08_final
2018-04-20 09:48:04	ga_ls8c_ard_3-0-0_095078_2018-04-20_final
2018-05-29 11:33:05	ga_ls8c_ard_3-0-0_112079_2018-05-29_final
2018-07-09 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-07-09_final
2018-08-19 09:42:05	ga_ls8c_ard_3-0-0_094078_2018-08-19_final
2018-09-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2018-09-11_final
2018-09-20 09:42:15	ga_ls8c_ard_3-0-0_094078_2018-09-20_final
2018-09-27 09:48:06	ga_ls8c_ard_3-0-0_095077_2018-09-27_final
2019-01-01 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-31_final
2019-06-26 09:48:17	ga_ls8c_ard_3-1-0_095077_2019-06-26_final
2019-07-28 09:48:49	ga_ls8c_ard_3-1-0_095078_2019-07-28_final
2019-08-13 09:48:55	ga_ls8c_ard_3-1-0_095078_2019-08-13_final
2019-08-29 09:48:35	ga_ls8c_ard_3-1-0_095077_2019-08-29_final
2019-08-29 09:48:59	ga_ls8c_ard_3-1-0_095078_2019-08-29_final
2020-04-25 09:48:19	ga_ls8c_ard_3-1-0_095078_2020-04-25_final
2020-05-20 09:40:51	ga_ls8c_ard_3-1-0_094075_2020-05-20_final
2020-06-03 11:33:47	ga_ls8c_ard_3-1-0_112079_2020-06-03_final
2020-08-31 09:48:33	ga_ls8c_ard_3-1-0_095077_2020-08-31_final
2021-04-19 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-04-19_final
2021-04-28 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-04-28_final
2021-05-14 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-05-14_final
2021-06-15 09:48:38	ga_ls8c_ard_3-2-0_095078_2021-06-15_final
2021-06-22 11:33:20	ga_ls8c_ard_3-2-0_112077_2021-06-22_final
2021-06-24 11:21:23	ga_ls8c_ard_3-2-0_110078_2021-06-24_final
2021-07-08 11:31:46	ga_ls8c_ard_3-2-0_112073_2021-07-08_final
2021-07-26 11:21:31	ga_ls8c_ard_3-2-0_110078_2021-07-26_final
2021-08-02 09:48:28	ga_ls8c_ard_3-2-0_095077_2021-08-02_final
2021-08-16 10:00:31	ga_ls8c_ard_3-2-0_097076_2021-08-16_final
2021-08-18 09:48:33	ga_ls8c_ard_3-2-0_095077_2021-08-18_final
2021-09-01 10:00:35	ga_ls8c_ard_3-2-0_097076_2021-09-01_final
2021-09-03 09:48:38	ga_ls8c_ard_3-2-0_095077_2021-09-03_final
2021-09-09 09:10:47	ga_ls8c_ard_3-2-0_089075_2021-09-08_final
2022-07-06 09:37:05	ga_ls8c_ard_3-2-1_093079_2022-07-06_final
2022-07-11 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-07-11_final
2022-07-29 11:24:41	ga_ls8c_ard_3-2-1_110085_2022-07-29_final
2022-09-01 11:09:40	ga_ls8c_ard_3-2-1_108078_2022-09-01_final
2022-11-04 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-11-04_final
2023-01-04 10:40:15	ga_ls8c_ard_3-2-1_103082_2023-01-04_final
2023-04-02 09:48:33	ga_ls8c_ard_3-2-1_095078_2023-04-02_final
2023-05-04 09:47:50	ga_ls8c_ard_3-2-1_095077_2023-05-04_final
2023-05-11 11:32:47	ga_ls8c_ard_3-2-1_112077_2023-05-11_final
2023-05-20 09:48:04	ga_ls8c_ard_3-2-1_095078_2023-05-20_final
2023-06-12 11:32:54	ga_ls8c_ard_3-2-1_112077_2023-06-12_final
2023-06-12 11:33:42	ga_ls8c_ard_3-2-1_112079_2023-06-12_final
2023-06-21 09:48:16	ga_ls8c_ard_3-2-1_095078_2023-06-21_final
2023-06-28 09:54:08	ga_ls8c_ard_3-2-1_096077_2023-06-28_final
2023-07-07 09:48:04	ga_ls8c_ard_3-2-1_095077_2023-07-07_final
2023-07-18 11:08:51	ga_ls8c_ard_3-2-1_108078_2023-07-18_final
2023-07-30 11:33:17	ga_ls8c_ard_3-2-1_112077_2023-07-30_final
2023-08-15 11:33:23	ga_ls8c_ard_3-2-1_112077_2023-08-15_final
2023-08-19 11:09:06	ga_ls8c_ard_3-2-1_108078_2023-08-19_final
2023-09-03 10:27:04	ga_ls8c_ard_3-2-1_101081_2023-09-03_final
2023-09-09 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-09-09_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_final
2024-01-14 10:45:45	ga_ls8c_ard_3-2-1_104081_2024-01-14_final
2024-01-16 10:32:59	ga_ls8c_ard_3-2-1_102080_2024-01-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years