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
2013-04-17 11:07:22	ga_ls8c_ard_3-0-0_108069_2013-04-17_final
2013-06-13 11:04:57	ga_ls8c_ard_3-0-0_107078_2013-06-13_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-26 11:07:18	ga_ls8c_ard_3-0-0_108069_2013-10-26_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2014-04-25 11:27:08	ga_ls8c_ard_3-0-0_111077_2014-04-25_final
2014-05-11 11:27:40	ga_ls8c_ard_3-0-0_111079_2014-05-11_final
2014-06-05 11:20:45	ga_ls8c_ard_3-0-0_110077_2014-06-05_final
2014-06-05 11:21:09	ga_ls8c_ard_3-0-0_110078_2014-06-05_final
2014-06-16 11:04:16	ga_ls8c_ard_3-1-0_107082_2014-06-16_final
2014-07-11 10:58:38	ga_ls8c_ard_3-0-0_106083_2014-07-11_final
2014-07-14 11:27:57	ga_ls8c_ard_3-0-0_111079_2014-07-14_final
2014-07-27 10:58:41	ga_ls8c_ard_3-0-0_106083_2014-07-27_final
2014-08-15 11:28:09	ga_ls8c_ard_3-0-0_111079_2014-08-15_final
2014-10-15 10:58:12	ga_ls8c_ard_3-0-0_106081_2014-10-15_final
2015-07-04 11:57:37	ga_ls8c_ard_3-0-0_116077_2015-07-04_final
2015-07-08 11:33:44	ga_ls8c_ard_3-0-0_112079_2015-07-08_final
2015-07-17 11:27:38	ga_ls8c_ard_3-0-0_111079_2015-07-17_final
2015-07-24 11:32:40	ga_ls8c_ard_3-0-0_112076_2015-07-24_final
2015-07-30 10:57:59	ga_ls8c_ard_3-0-0_106082_2015-07-30_final
2015-09-19 11:29:14	ga_ls8c_ard_3-0-0_111082_2015-09-19_final
2016-04-27 10:58:19	ga_ls8c_ard_3-0-0_106083_2016-04-27_final
2016-06-30 10:58:37	ga_ls8c_ard_3-0-0_106083_2016-06-30_final
2016-07-03 11:27:57	ga_ls8c_ard_3-0-0_111079_2016-07-03_final
2016-07-07 11:04:27	ga_ls8c_ard_3-1-0_107082_2016-07-07_final
2016-07-23 11:02:33	ga_ls8c_ard_3-0-0_107077_2016-07-23_final
2016-09-02 10:58:10	ga_ls8c_ard_3-0-0_106081_2016-09-02_final
2017-06-08 11:02:37	ga_ls8c_ard_3-0-0_107078_2017-06-08_final
2017-11-30 08:42:33	ga_ls8c_ard_3-2-1_084082_2017-11-29_final
2017-12-18 11:47:36	ga_ls8c_ard_3-0-0_114081_2017-12-18_final
2018-06-04 10:57:33	ga_ls8c_ard_3-0-0_106083_2018-06-04_final
2019-06-23 10:58:15	ga_ls8c_ard_3-1-0_106082_2019-06-23_final
2019-08-26 10:58:33	ga_ls8c_ard_3-1-0_106082_2019-08-26_final
2020-12-07 09:36:23	ga_ls8c_ard_3-1-0_093077_2020-12-07_final
2021-01-13 11:32:04	ga_ls8c_ard_3-2-0_112073_2021-01-13_final
2021-01-15 11:21:41	ga_ls8c_ard_3-2-0_110078_2021-01-15_final
2021-02-09 09:35:45	ga_ls8c_ard_3-2-0_093076_2021-02-09_final
2021-06-26 09:32:08	ga_ls8c_ard_3-2-0_092083_2021-06-26_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2021-10-20 10:46:03	ga_ls8c_ard_3-2-0_104081_2021-10-20_final
2021-10-25 09:24:55	ga_ls8c_ard_3-2-0_091079_2021-10-24_final
2022-01-10 10:33:06	ga_ls8c_ard_3-2-1_102080_2022-01-10_final
2022-02-05 11:09:16	ga_ls8c_ard_3-2-1_108078_2022-02-05_final
2022-02-21 11:09:10	ga_ls8c_ard_3-2-1_108078_2022-02-21_final
2022-02-28 09:33:40	ga_ls8c_ard_3-2-1_093071_2022-02-28_final
2022-03-02 11:02:11	ga_ls8c_ard_3-2-1_107076_2022-03-02_final
2022-04-15 11:27:55	ga_ls8c_ard_3-2-1_111079_2022-04-15_final
2022-04-24 09:42:01	ga_ls8c_ard_3-2-1_094077_2022-04-24_final
2022-04-24 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-24_final
2022-04-26 11:08:31	ga_ls8c_ard_3-2-1_108077_2022-04-26_final
2022-05-05 11:02:48	ga_ls8c_ard_3-2-1_107078_2022-05-05_final
2022-05-08 11:34:08	ga_ls8c_ard_3-2-1_112079_2022-05-08_final
2022-06-18 09:48:36	ga_ls8c_ard_3-2-1_095077_2022-06-18_final
2022-06-27 11:22:08	ga_ls8c_ard_3-2-1_110079_2022-06-27_final
2022-07-04 11:28:20	ga_ls8c_ard_3-2-1_111079_2022-07-04_final
2022-08-16 11:09:16	ga_ls8c_ard_3-2-1_108077_2022-08-16_final
2022-08-21 09:48:56	ga_ls8c_ard_3-2-1_095077_2022-08-21_final
2022-09-06 09:49:21	ga_ls8c_ard_3-2-1_095078_2022-09-06_final
2022-09-22 09:49:27	ga_ls8c_ard_3-2-1_095078_2022-09-22_final
2022-10-08 11:28:39	ga_ls8c_ard_3-2-1_111079_2022-10-08_final
2022-10-24 09:49:24	ga_ls8c_ard_3-2-1_095078_2022-10-24_final
2022-12-18 09:54:38	ga_ls8c_ard_3-2-1_096076_2022-12-18_final
2022-12-27 11:28:29	ga_ls8c_ard_3-2-1_111079_2022-12-27_final
2023-01-12 09:47:58	ga_ls8c_ard_3-2-1_095075_2023-01-12_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-02-24 11:09:13	ga_ls8c_ard_3-2-1_108078_2023-02-24_final
2023-03-17 11:28:01	ga_ls8c_ard_3-2-1_111079_2023-03-17_final
2023-03-21 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-03-21_final
2023-04-02 11:27:50	ga_ls8c_ard_3-2-1_111079_2023-04-02_final
2023-04-25 09:53:42	ga_ls8c_ard_3-2-1_096076_2023-04-25_final
2023-05-01 10:58:15	ga_ls8c_ard_3-2-1_106083_2023-05-01_final
2023-05-04 11:27:31	ga_ls8c_ard_3-2-1_111079_2023-05-04_final
2023-05-31 11:08:03	ga_ls8c_ard_3-2-1_108077_2023-05-31_final
2023-06-12 11:33:42	ga_ls8c_ard_3-2-1_112079_2023-06-12_final
2023-06-14 11:21:21	ga_ls8c_ard_3-2-1_110079_2023-06-14_final
2023-06-18 10:58:15	ga_ls8c_ard_3-2-1_106083_2023-06-18_final
2023-06-28 09:53:45	ga_ls8c_ard_3-2-1_096076_2023-06-28_final
2023-06-28 09:54:08	ga_ls8c_ard_3-2-1_096077_2023-06-28_final
2023-06-30 11:21:30	ga_ls8c_ard_3-2-1_110079_2023-06-30_final
2023-07-07 11:27:45	ga_ls8c_ard_3-2-1_111079_2023-07-07_final
2023-07-10 11:57:52	ga_ls8c_ard_3-2-1_116077_2023-07-10_final
2023-07-16 09:42:19	ga_ls8c_ard_3-2-1_094078_2023-07-16_final
2023-07-16 11:21:36	ga_ls8c_ard_3-2-1_110079_2023-07-16_final
2023-07-25 11:15:29	ga_ls8c_ard_3-2-1_109079_2023-07-25_final
2023-08-08 11:27:56	ga_ls8c_ard_3-2-1_111079_2023-08-08_final
2023-08-24 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-08-24_final
2023-09-11 11:15:44	ga_ls8c_ard_3-2-1_109079_2023-09-11_final
2023-09-16 11:34:19	ga_ls8c_ard_3-2-1_112079_2023-09-16_final
2023-10-10 10:45:46	ga_ls8c_ard_3-2-1_104081_2023-10-10_final
2023-10-22 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-10-22_final
2023-11-11 10:45:45	ga_ls8c_ard_3-2-1_104081_2023-11-11_final
2024-01-10 11:09:15	ga_ls8c_ard_3-2-1_108078_2024-01-10_final
2024-01-26 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-01-26_final
2024-02-20 11:05:01	ga_ls8c_ard_3-2-1_107083_2024-02-20_final
2024-03-03 11:28:01	ga_ls8c_ard_3-2-1_111079_2024-03-03_final
2024-03-14 11:08:35	ga_ls8c_ard_3-2-1_108077_2024-03-14_final
2024-03-19 09:48:35	ga_ls8c_ard_3-2-1_095078_2024-03-19_final
2024-04-04 11:27:41	ga_ls8c_ard_3-2-1_111079_2024-04-04_final
2024-04-08 11:04:09	ga_ls8c_ard_3-2-1_107082_2024-04-08_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