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
2013-04-20 11:41:02	ga_ls8c_ard_3-0-0_113076_2013-04-20_final
2013-06-25 09:50:20	ga_ls8c_ard_3-0-0_095077_2013-06-25_final
2013-07-04 09:46:12	ga_ls8c_ard_3-0-0_094082_2013-07-04_final
2013-07-20 09:40:11	ga_ls8c_ard_3-0-0_094067_2013-07-20_final
2013-07-27 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-07-27_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-03-17 09:43:54	ga_ls8c_ard_3-0-0_094080_2014-03-17_final
2014-03-31 11:33:41	ga_ls8c_ard_3-0-0_112077_2014-03-31_final
2014-04-18 09:42:08	ga_ls8c_ard_3-0-0_094077_2014-04-18_final
2014-04-25 09:47:51	ga_ls8c_ard_3-0-0_095076_2014-04-25_final
2014-05-04 09:41:30	ga_ls8c_ard_3-0-0_094076_2014-05-04_final
2014-05-04 09:41:53	ga_ls8c_ard_3-0-0_094077_2014-05-04_final
2014-05-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2014-05-11_final
2014-05-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2014-05-11_final
2014-05-27 09:47:56	ga_ls8c_ard_3-0-0_095077_2014-05-27_final
2014-05-27 09:48:20	ga_ls8c_ard_3-0-0_095078_2014-05-27_final
2014-06-03 11:33:05	ga_ls8c_ard_3-0-0_112077_2014-06-03_final
2014-06-03 11:33:29	ga_ls8c_ard_3-0-0_112078_2014-06-03_final
2014-06-03 11:33:53	ga_ls8c_ard_3-0-0_112079_2014-06-03_final
2014-06-03 11:34:17	ga_ls8c_ard_3-0-0_112080_2014-06-03_final
2014-06-10 11:40:55	ga_ls8c_ard_3-0-0_113081_2014-06-10_final
2014-06-12 09:48:06	ga_ls8c_ard_3-0-0_095077_2014-06-12_final
2014-06-12 09:48:30	ga_ls8c_ard_3-0-0_095078_2014-06-12_final
2014-06-19 11:33:11	ga_ls8c_ard_3-0-0_112077_2014-06-19_final
2014-06-19 11:33:35	ga_ls8c_ard_3-0-0_112078_2014-06-19_final
2014-06-21 09:42:44	ga_ls8c_ard_3-0-0_094079_2014-06-21_final
2014-06-28 09:48:07	ga_ls8c_ard_3-0-0_095077_2014-06-28_final
2014-06-28 09:48:31	ga_ls8c_ard_3-0-0_095078_2014-06-28_final
2014-07-05 11:33:16	ga_ls8c_ard_3-0-0_112077_2014-07-05_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-14 09:48:40	ga_ls8c_ard_3-0-0_095078_2014-07-14_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-30 09:48:20	ga_ls8c_ard_3-0-0_095077_2014-07-30_final
2014-07-30 09:48:44	ga_ls8c_ard_3-0-0_095078_2014-07-30_final
2014-08-06 11:33:29	ga_ls8c_ard_3-0-0_112077_2014-08-06_final
2014-08-06 11:33:53	ga_ls8c_ard_3-0-0_112078_2014-08-06_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-24 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-08-24_final
2014-10-11 09:40:26	ga_ls8c_ard_3-0-0_094072_2014-10-11_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 09:44:49	ga_ls8c_ard_3-0-0_094083_2014-10-11_final
2014-11-03 09:51:23	ga_ls8c_ard_3-0-0_095084_2014-11-03_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-03-20 09:42:11	ga_ls8c_ard_3-0-0_094078_2015-03-20_final
2015-05-05 11:32:37	ga_ls8c_ard_3-0-0_112077_2015-05-05_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-05-30 09:48:41	ga_ls8c_ard_3-0-0_095080_2015-05-30_final
2015-07-08 11:32:57	ga_ls8c_ard_3-0-0_112077_2015-07-08_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-09-03 09:45:25	ga_ls8c_ard_3-0-0_095070_2015-09-03_final
2015-09-10 11:33:21	ga_ls8c_ard_3-0-0_112077_2015-09-10_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-05-23 11:33:05	ga_ls8c_ard_3-0-0_112077_2016-05-23_final
2016-07-19 09:47:10	ga_ls8c_ard_3-0-0_095074_2016-07-19_final
2016-07-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2016-07-26_final
2016-08-11 11:33:30	ga_ls8c_ard_3-0-0_112077_2016-08-11_final
2016-08-27 11:33:37	ga_ls8c_ard_3-0-0_112077_2016-08-27_final
2016-08-27 11:34:25	ga_ls8c_ard_3-0-0_112079_2016-08-27_final
2016-09-03 11:37:51	ga_ls8c_ard_3-0-0_113072_2016-09-03_final
2016-11-24 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-23_final
2017-08-14 11:33:30	ga_ls8c_ard_3-0-0_112077_2017-08-14_final
2017-08-30 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-08-30_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-09-24 09:52:35	ga_ls8c_ard_3-0-0_095087_2017-09-24_final
2017-11-30 08:42:33	ga_ls8c_ard_3-2-1_084082_2017-11-29_final
2018-07-02 09:38:53	ga_ls8c_ard_3-0-0_094071_2018-07-02_final
2018-07-16 11:32:38	ga_ls8c_ard_3-0-0_112077_2018-07-16_final
2018-08-01 11:32:46	ga_ls8c_ard_3-0-0_112077_2018-08-01_final
2018-08-17 11:32:55	ga_ls8c_ard_3-0-0_112077_2018-08-17_final
2018-11-03 11:47:20	ga_ls8c_ard_3-0-0_114081_2018-11-03_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2019-09-05 11:33:40	ga_ls8c_ard_3-1-0_112077_2019-09-05_final
2020-03-08 08:10:38	ga_ls8c_ard_3-2-1_079080_2020-03-07_final
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2021-01-25 08:42:33	ga_ls8c_ard_3-2-1_084082_2021-01-24_final
2021-05-16 09:32:02	ga_ls8c_ard_3-2-0_093068_2021-05-16_final
2021-06-28 10:57:52	ga_ls8c_ard_3-2-0_106081_2021-06-28_final
2021-07-24 11:31:51	ga_ls8c_ard_3-2-0_112073_2021-07-24_final
2021-09-09 09:10:47	ga_ls8c_ard_3-2-0_089075_2021-09-08_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-11-06 08:11:07	ga_ls8c_ard_3-2-1_079080_2021-11-05_final
2021-12-11 08:42:46	ga_ls8c_ard_3-2-1_084082_2021-12-10_final
2022-02-15 10:09:24	ga_ls8c_ard_3-2-1_098083_2022-02-15_final
2022-04-06 11:33:14	ga_ls8c_ard_3-2-1_112077_2022-04-06_final
2022-06-24 09:14:20	ga_ls8c_ard_3-2-1_089084_2022-06-23_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-07-04 09:48:39	ga_ls8c_ard_3-2-1_095077_2022-07-04_final
2022-10-13 10:08:38	ga_ls8c_ard_3-2-1_098080_2022-10-13_final
2023-02-19 09:11:31	ga_ls8c_ard_3-2-1_089077_2023-02-18_final
2023-03-14 09:19:52	ga_ls8c_ard_3-2-1_090083_2023-03-13_final
2023-05-06 09:33:03	ga_ls8c_ard_3-2-1_093071_2023-05-06_final
2023-06-14 11:17:22	ga_ls8c_ard_3-2-1_110069_2023-06-14_final
2023-07-12 10:02:39	ga_ls8c_ard_3-2-1_098067_2023-07-12_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-08-10 11:15:58	ga_ls8c_ard_3-2-1_109080_2023-08-10_final
2023-08-15 11:33:23	ga_ls8c_ard_3-2-1_112077_2023-08-15_final
2023-08-31 11:33:28	ga_ls8c_ard_3-2-1_112077_2023-08-31_final
2023-10-09 10:00:06	ga_ls8c_ard_3-2-1_097075_2023-10-09_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