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
2013-11-16 09:48:06	ga_ls8c_ard_3-0-0_095072_2013-11-16_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2013-11-17 10:31:21	ga_ls8c_ard_3-0-0_102072_2013-11-17_final
2013-11-18 09:35:18	ga_ls8c_ard_3-0-0_093071_2013-11-18_final
2013-11-18 09:35:42	ga_ls8c_ard_3-0-0_093072_2013-11-18_final
2013-11-20 11:02:12	ga_ls8c_ard_3-0-0_107072_2013-11-20_final
2013-12-07 10:06:34	ga_ls8c_ard_3-0-0_098072_2013-12-07_final
2013-12-08 10:49:49	ga_ls8c_ard_3-0-0_105072_2013-12-08_final
2013-12-09 09:54:11	ga_ls8c_ard_3-0-0_096072_2013-12-09_final
2013-12-09 11:33:04	ga_ls8c_ard_3-0-0_112072_2013-12-09_final
2013-12-10 10:37:27	ga_ls8c_ard_3-0-0_103072_2013-12-10_final
2013-12-11 11:20:42	ga_ls8c_ard_3-0-0_110072_2013-12-11_final
2013-12-12 10:25:04	ga_ls8c_ard_3-0-0_101072_2013-12-12_final
2013-12-13 09:29:26	ga_ls8c_ard_3-0-0_092072_2013-12-12_final
2013-12-14 10:12:41	ga_ls8c_ard_3-0-0_099072_2013-12-14_final
2013-12-15 10:55:56	ga_ls8c_ard_3-0-0_106072_2013-12-15_final
2015-07-19 09:33:13	ga_ls8c_ard_3-0-0_093071_2015-07-19_final
2015-07-19 09:33:37	ga_ls8c_ard_3-0-0_093072_2015-07-19_final
2015-07-19 11:12:30	ga_ls8c_ard_3-1-0_109072_2015-07-19_final
2015-07-20 10:16:29	ga_ls8c_ard_3-0-0_100071_2015-07-20_final
2015-07-20 10:16:53	ga_ls8c_ard_3-0-0_100072_2015-07-20_final
2015-07-21 09:21:16	ga_ls8c_ard_3-0-0_091072_2015-07-20_final
2015-07-21 10:59:45	ga_ls8c_ard_3-0-0_107071_2015-07-21_final
2015-07-21 11:00:09	ga_ls8c_ard_3-0-0_107072_2015-07-21_final
2015-08-07 10:04:10	ga_ls8c_ard_3-0-0_098071_2015-08-07_final
2015-08-07 10:04:34	ga_ls8c_ard_3-0-0_098072_2015-08-07_final
2015-08-08 10:47:50	ga_ls8c_ard_3-0-0_105072_2015-08-08_final
2015-08-09 09:52:14	ga_ls8c_ard_3-0-0_096072_2015-08-09_final
2015-08-09 11:30:43	ga_ls8c_ard_3-0-0_112071_2015-08-09_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2015-08-22 09:21:27	ga_ls8c_ard_3-0-0_091072_2015-08-21_final
2015-08-22 10:59:56	ga_ls8c_ard_3-0-0_107071_2015-08-22_final
2015-08-23 10:04:43	ga_ls8c_ard_3-0-0_098072_2015-08-23_final
2015-08-24 10:47:59	ga_ls8c_ard_3-0-0_105072_2015-08-24_final
2015-08-25 09:51:58	ga_ls8c_ard_3-0-0_096071_2015-08-25_final
2015-08-25 09:52:22	ga_ls8c_ard_3-0-0_096072_2015-08-25_final
2015-08-25 11:30:51	ga_ls8c_ard_3-0-0_112071_2015-08-25_final
2015-08-25 11:31:15	ga_ls8c_ard_3-0-0_112072_2015-08-25_final
2015-09-02 10:41:26	ga_ls8c_ard_3-0-0_104071_2015-09-02_final
2015-09-02 10:41:50	ga_ls8c_ard_3-0-0_104072_2015-09-02_final
2015-09-03 09:45:49	ga_ls8c_ard_3-0-0_095071_2015-09-03_final
2015-09-03 09:46:13	ga_ls8c_ard_3-0-0_095072_2015-09-03_final
2015-09-03 11:24:42	ga_ls8c_ard_3-0-0_111071_2015-09-03_final
2015-09-03 11:25:06	ga_ls8c_ard_3-0-0_111072_2015-09-03_final
2015-09-04 10:29:29	ga_ls8c_ard_3-0-0_102072_2015-09-04_final
2015-11-04 09:58:29	ga_ls8c_ard_3-0-0_097071_2015-11-04_final
2015-11-04 09:58:53	ga_ls8c_ard_3-0-0_097072_2015-11-04_final
2015-11-04 11:37:46	ga_ls8c_ard_3-0-0_113072_2015-11-04_final
2015-11-05 10:41:45	ga_ls8c_ard_3-0-0_104071_2015-11-05_final
2015-11-05 10:42:08	ga_ls8c_ard_3-0-0_104072_2015-11-05_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-06 09:46:31	ga_ls8c_ard_3-0-0_095072_2015-11-06_final
2015-11-06 11:25:00	ga_ls8c_ard_3-0-0_111071_2015-11-06_final
2015-11-06 11:25:24	ga_ls8c_ard_3-0-0_111072_2015-11-06_final
2015-11-18 10:11:15	ga_ls8c_ard_3-0-0_099072_2015-11-18_final
2015-11-19 10:54:31	ga_ls8c_ard_3-0-0_106072_2015-11-19_final
2015-11-20 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-11-20_final
2015-11-20 09:58:54	ga_ls8c_ard_3-0-0_097072_2015-11-20_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2015-11-21 10:41:46	ga_ls8c_ard_3-0-0_104071_2015-11-21_final
2015-11-21 10:42:10	ga_ls8c_ard_3-0-0_104072_2015-11-21_final
2015-11-22 09:46:33	ga_ls8c_ard_3-0-0_095072_2015-11-22_final
2015-11-22 11:25:02	ga_ls8c_ard_3-0-0_111071_2015-11-22_final
2015-11-22 11:25:26	ga_ls8c_ard_3-0-0_111072_2015-11-22_final
2015-11-23 10:29:49	ga_ls8c_ard_3-0-0_102072_2015-11-23_final
2015-11-24 09:33:48	ga_ls8c_ard_3-0-0_093071_2015-11-24_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-11-24 11:13:05	ga_ls8c_ard_3-0-0_109072_2015-11-24_final
2015-11-25 10:17:27	ga_ls8c_ard_3-0-0_100072_2015-11-25_final
2015-11-26 09:21:50	ga_ls8c_ard_3-0-0_091072_2015-11-25_final
2015-11-26 11:00:19	ga_ls8c_ard_3-0-0_107071_2015-11-26_final
2015-11-26 11:00:43	ga_ls8c_ard_3-0-0_107072_2015-11-26_final
2015-11-27 10:05:06	ga_ls8c_ard_3-0-0_098072_2015-11-27_final
2015-11-28 10:48:21	ga_ls8c_ard_3-0-0_105072_2015-11-28_final
2015-11-29 09:52:20	ga_ls8c_ard_3-0-0_096071_2015-11-29_final
2015-11-29 09:52:44	ga_ls8c_ard_3-0-0_096072_2015-11-29_final
2015-11-29 11:31:13	ga_ls8c_ard_3-0-0_112071_2015-11-29_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2019-09-16 09:34:19	ga_ls8c_ard_3-1-0_093072_2019-09-16_final
2019-09-16 11:12:48	ga_ls8c_ard_3-1-0_109071_2019-09-16_final
2019-09-16 11:13:12	ga_ls8c_ard_3-1-0_109072_2019-09-16_final
2019-09-17 10:17:11	ga_ls8c_ard_3-1-0_100071_2019-09-17_final
2019-09-17 10:17:35	ga_ls8c_ard_3-1-0_100072_2019-09-17_final
2019-09-18 09:21:58	ga_ls8c_ard_3-1-0_091072_2019-09-17_final
2019-09-18 11:00:51	ga_ls8c_ard_3-1-0_107072_2019-09-18_final
2019-10-14 09:59:09	ga_ls8c_ard_3-1-0_097072_2019-10-14_final
2019-10-14 11:37:38	ga_ls8c_ard_3-1-0_113071_2019-10-14_final
2019-10-14 11:38:02	ga_ls8c_ard_3-1-0_113072_2019-10-14_final
2019-10-15 10:42:01	ga_ls8c_ard_3-1-0_104071_2019-10-15_final
2019-10-15 10:42:25	ga_ls8c_ard_3-1-0_104072_2019-10-15_final
2019-10-16 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-10-16_final
2019-10-16 11:25:17	ga_ls8c_ard_3-1-0_111071_2019-10-16_final
2019-10-16 11:25:41	ga_ls8c_ard_3-1-0_111072_2019-10-16_final
2019-12-01 09:59:05	ga_ls8c_ard_3-1-0_097072_2019-12-01_final
2019-12-01 11:37:34	ga_ls8c_ard_3-1-0_113071_2019-12-01_final
2019-12-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2019-12-01_final
2019-12-02 10:41:57	ga_ls8c_ard_3-1-0_104071_2019-12-02_final
2019-12-02 10:42:21	ga_ls8c_ard_3-1-0_104072_2019-12-02_final
2019-12-03 09:46:43	ga_ls8c_ard_3-1-0_095072_2019-12-03_final
2019-12-03 11:25:12	ga_ls8c_ard_3-1-0_111071_2019-12-03_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