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
2013-04-08 09:47:16	ga_ls8c_ard_3-0-0_094079_2013-04-08_final
2013-05-17 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-05-17_final
2013-08-05 09:45:02	ga_ls8c_ard_3-0-0_094079_2013-08-05_final
2014-01-28 09:46:07	ga_ls8c_ard_3-0-0_094084_2014-01-28_final
2014-03-08 09:49:46	ga_ls8c_ard_3-0-0_095079_2014-03-08_final
2014-06-28 09:46:55	ga_ls8c_ard_3-0-0_095074_2014-06-28_final
2014-07-30 09:47:57	ga_ls8c_ard_3-0-0_095076_2014-07-30_final
2014-08-08 09:44:38	ga_ls8c_ard_3-0-0_094083_2014-08-08_final
2014-08-24 09:44:41	ga_ls8c_ard_3-0-0_094083_2014-08-24_final
2014-09-16 09:49:20	ga_ls8c_ard_3-0-0_095079_2014-09-16_final
2014-09-16 09:49:44	ga_ls8c_ard_3-0-0_095080_2014-09-16_final
2014-10-18 09:49:26	ga_ls8c_ard_3-0-0_095079_2014-10-18_final
2014-10-18 09:51:26	ga_ls8c_ard_3-0-0_095084_2014-10-18_final
2015-10-14 09:44:37	ga_ls8c_ard_3-0-0_094083_2015-10-14_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2015-11-06 09:48:55	ga_ls8c_ard_3-0-0_095078_2015-11-06_final
2016-02-26 09:48:42	ga_ls8c_ard_3-0-0_095078_2016-02-26_final
2016-03-13 09:48:15	ga_ls8c_ard_3-0-0_095077_2016-03-13_final
2016-04-30 09:47:59	ga_ls8c_ard_3-0-0_095077_2016-04-30_final
2016-05-25 09:42:15	ga_ls8c_ard_3-0-0_094078_2016-05-25_final
2016-07-03 09:48:40	ga_ls8c_ard_3-0-0_095078_2016-07-03_final
2016-07-19 09:47:10	ga_ls8c_ard_3-0-0_095074_2016-07-19_final
2016-08-04 09:48:49	ga_ls8c_ard_3-0-0_095078_2016-08-04_final
2016-08-20 09:48:54	ga_ls8c_ard_3-0-0_095078_2016-08-20_final
2017-02-28 09:48:40	ga_ls8c_ard_3-0-0_095078_2017-02-28_final
2017-03-16 09:48:07	ga_ls8c_ard_3-0-0_095077_2017-03-16_final
2017-08-16 09:43:04	ga_ls8c_ard_3-0-0_094079_2017-08-16_final
2017-09-01 09:43:07	ga_ls8c_ard_3-0-0_094079_2017-09-01_final
2017-10-10 09:48:40	ga_ls8c_ard_3-0-0_095077_2017-10-10_final
2018-01-07 09:42:44	ga_ls8c_ard_3-0-0_094078_2018-01-07_final
2018-01-23 09:42:36	ga_ls8c_ard_3-0-0_094078_2018-01-23_final
2018-02-15 09:48:36	ga_ls8c_ard_3-0-0_095078_2018-02-15_final
2018-03-19 09:47:56	ga_ls8c_ard_3-0-0_095077_2018-03-19_final
2018-04-04 09:48:13	ga_ls8c_ard_3-0-0_095078_2018-04-04_final
2018-04-20 09:47:40	ga_ls8c_ard_3-0-0_095077_2018-04-20_final
2018-04-29 09:41:48	ga_ls8c_ard_3-0-0_094078_2018-04-29_final
2018-07-18 09:42:12	ga_ls8c_ard_3-0-0_094079_2018-07-18_final
2018-08-03 09:41:56	ga_ls8c_ard_3-0-0_094078_2018-08-03_final
2018-08-19 09:42:29	ga_ls8c_ard_3-0-0_094079_2018-08-19_final
2018-09-04 09:42:11	ga_ls8c_ard_3-0-0_094078_2018-09-04_final
2018-10-06 09:42:24	ga_ls8c_ard_3-0-0_094078_2018-10-06_final
2018-10-29 09:48:42	ga_ls8c_ard_3-0-0_095078_2018-10-29_final
2018-11-23 09:42:33	ga_ls8c_ard_3-0-0_094078_2018-11-23_final
2018-12-09 09:42:30	ga_ls8c_ard_3-0-0_094078_2018-12-09_final
2019-02-11 09:42:22	ga_ls8c_ard_3-0-0_094078_2019-02-11_final
2019-03-06 09:48:27	ga_ls8c_ard_3-0-0_095078_2019-03-06_final
2019-03-22 09:47:59	ga_ls8c_ard_3-1-0_095077_2019-03-22_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2019-09-14 09:49:04	ga_ls8c_ard_3-1-0_095078_2019-09-14_final
2019-09-30 09:49:09	ga_ls8c_ard_3-1-0_095078_2019-09-30_final
2019-10-09 09:43:00	ga_ls8c_ard_3-1-0_094078_2019-10-09_final
2019-10-25 09:43:01	ga_ls8c_ard_3-1-0_094078_2019-10-25_final
2020-01-13 09:42:48	ga_ls8c_ard_3-1-0_094078_2020-01-13_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2020-07-01 08:42:11	ga_ls8c_ard_3-2-1_084082_2020-06-30_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_final
2020-09-16 09:48:39	ga_ls8c_ard_3-1-0_095077_2020-09-16_final
2020-10-11 09:42:57	ga_ls8c_ard_3-1-0_094078_2020-10-11_final
2020-10-18 09:49:56	ga_ls8c_ard_3-1-0_095080_2020-10-18_final
2021-04-12 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-04-12_final
2021-04-28 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-04-28_final
2021-05-23 11:21:10	ga_ls8c_ard_3-2-0_110078_2021-05-23_final
2021-07-31 10:00:24	ga_ls8c_ard_3-2-0_097076_2021-07-31_final
2021-08-03 10:31:20	ga_ls8c_ard_3-2-0_102076_2021-08-03_final
2021-08-04 11:12:12	ga_ls8c_ard_3-2-0_109070_2021-08-04_final
2021-08-09 09:54:17	ga_ls8c_ard_3-2-0_096076_2021-08-09_final
2021-08-11 11:21:37	ga_ls8c_ard_3-2-0_110078_2021-08-11_final
2021-09-12 09:42:54	ga_ls8c_ard_3-2-0_094078_2021-09-12_final
2021-09-28 09:42:57	ga_ls8c_ard_3-2-0_094078_2021-09-28_final
2021-10-03 10:00:44	ga_ls8c_ard_3-2-0_097076_2021-10-03_final
2021-10-05 09:49:11	ga_ls8c_ard_3-2-0_095078_2021-10-05_final
2021-10-14 09:43:02	ga_ls8c_ard_3-2-0_094078_2021-10-14_final
2021-11-15 09:44:58	ga_ls8c_ard_3-2-0_094083_2021-11-15_final
2022-03-21 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-03-21_final
2022-03-25 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-03-25_final
2022-04-15 09:48:14	ga_ls8c_ard_3-2-1_095077_2022-04-15_final
2022-06-18 09:48:36	ga_ls8c_ard_3-2-1_095077_2022-06-18_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-06-28 10:26:31	ga_ls8c_ard_3-2-1_101079_2022-06-28_final
2022-08-12 11:34:22	ga_ls8c_ard_3-2-1_112078_2022-08-12_final
2022-08-21 09:48:56	ga_ls8c_ard_3-2-1_095077_2022-08-21_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-09-01 11:08:52	ga_ls8c_ard_3-2-1_108076_2022-09-01_final
2023-01-10 09:58:45	ga_ls8c_ard_3-2-1_097071_2023-01-10_final
2023-02-08 09:29:49	ga_ls8c_ard_3-2-1_092076_2023-02-07_final
2023-05-04 09:48:14	ga_ls8c_ard_3-2-1_095078_2023-05-04_final
2023-05-11 11:33:34	ga_ls8c_ard_3-2-1_112079_2023-05-11_final
2023-05-27 11:32:46	ga_ls8c_ard_3-2-1_112077_2023-05-27_final
2023-06-28 11:33:02	ga_ls8c_ard_3-2-1_112077_2023-06-28_final
2023-06-28 11:33:49	ga_ls8c_ard_3-2-1_112079_2023-06-28_final
2023-07-02 11:08:46	ga_ls8c_ard_3-2-1_108078_2023-07-02_final
2023-07-16 11:24:00	ga_ls8c_ard_3-2-1_110085_2023-07-16_final
2023-07-30 11:31:41	ga_ls8c_ard_3-2-1_112073_2023-07-30_final
2023-08-22 11:39:14	ga_ls8c_ard_3-2-1_113076_2023-08-22_final
2023-09-04 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-09-04_final
2023-09-09 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-09-09_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2024-01-10 11:09:15	ga_ls8c_ard_3-2-1_108078_2024-01-10_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