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
2014-08-21 10:47:53	ga_ls8c_ard_3-0-0_105071_2014-08-21_final
2014-08-22 09:51:52	ga_ls8c_ard_3-0-0_096070_2014-08-22_final
2014-08-22 09:52:16	ga_ls8c_ard_3-0-0_096071_2014-08-22_final
2014-08-22 11:31:09	ga_ls8c_ard_3-0-0_112071_2014-08-22_final
2014-08-23 10:35:31	ga_ls8c_ard_3-0-0_103071_2014-08-23_final
2014-08-24 09:39:54	ga_ls8c_ard_3-0-0_094071_2014-08-24_final
2014-08-24 11:18:47	ga_ls8c_ard_3-0-0_110071_2014-08-24_final
2014-08-25 10:23:10	ga_ls8c_ard_3-0-0_101071_2014-08-25_final
2014-09-22 10:47:30	ga_ls8c_ard_3-0-0_105070_2014-09-22_final
2014-09-22 10:47:54	ga_ls8c_ard_3-0-0_105071_2014-09-22_final
2014-09-23 09:52:17	ga_ls8c_ard_3-0-0_096071_2014-09-23_final
2014-09-23 11:31:10	ga_ls8c_ard_3-0-0_112071_2014-09-23_final
2014-09-24 10:35:32	ga_ls8c_ard_3-0-0_103071_2014-09-24_final
2014-09-25 09:39:54	ga_ls8c_ard_3-0-0_094071_2014-09-25_final
2014-09-25 11:18:47	ga_ls8c_ard_3-0-0_110071_2014-09-25_final
2014-09-26 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-09-26_final
2014-09-26 10:23:11	ga_ls8c_ard_3-0-0_101071_2014-09-26_final
2014-11-09 10:48:02	ga_ls8c_ard_3-0-0_105071_2014-11-09_final
2014-11-10 09:52:25	ga_ls8c_ard_3-0-0_096071_2014-11-10_final
2014-11-10 11:31:18	ga_ls8c_ard_3-0-0_112071_2014-11-10_final
2014-11-11 10:35:41	ga_ls8c_ard_3-0-0_103071_2014-11-11_final
2014-11-12 09:40:03	ga_ls8c_ard_3-0-0_094071_2014-11-12_final
2014-11-12 11:18:56	ga_ls8c_ard_3-0-0_110071_2014-11-12_final
2014-11-13 10:22:55	ga_ls8c_ard_3-0-0_101070_2014-11-13_final
2014-11-13 10:23:19	ga_ls8c_ard_3-0-0_101071_2014-11-13_final
2014-12-30 09:39:52	ga_ls8c_ard_3-0-0_094071_2014-12-30_final
2014-12-30 11:18:45	ga_ls8c_ard_3-0-0_110071_2014-12-30_final
2014-12-31 10:22:43	ga_ls8c_ard_3-0-0_101070_2014-12-31_final
2014-12-31 10:23:07	ga_ls8c_ard_3-0-0_101071_2014-12-31_final
2017-07-07 10:29:04	ga_ls8c_ard_3-0-0_102071_2017-07-07_final
2017-07-08 09:33:26	ga_ls8c_ard_3-0-0_093071_2017-07-08_final
2017-07-08 11:12:19	ga_ls8c_ard_3-0-0_109071_2017-07-08_final
2017-07-09 10:16:42	ga_ls8c_ard_3-0-0_100071_2017-07-09_final
2017-07-14 10:34:51	ga_ls8c_ard_3-0-0_103070_2017-07-14_final
2017-07-14 10:35:15	ga_ls8c_ard_3-0-0_103071_2017-07-14_final
2017-07-15 09:39:39	ga_ls8c_ard_3-0-0_094071_2017-07-15_final
2017-07-15 11:18:32	ga_ls8c_ard_3-0-0_110071_2017-07-15_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-07-16 10:22:55	ga_ls8c_ard_3-0-0_101071_2017-07-16_final
2017-08-11 10:59:48	ga_ls8c_ard_3-0-0_107070_2017-08-11_final
2017-08-11 11:00:12	ga_ls8c_ard_3-0-0_107071_2017-08-11_final
2017-08-24 10:29:21	ga_ls8c_ard_3-0-0_102071_2017-08-24_final
2017-08-25 09:33:44	ga_ls8c_ard_3-0-0_093071_2017-08-25_final
2017-08-25 11:12:13	ga_ls8c_ard_3-0-0_109070_2017-08-25_final
2017-08-25 11:12:37	ga_ls8c_ard_3-0-0_109071_2017-08-25_final
2017-08-26 10:16:36	ga_ls8c_ard_3-0-0_100070_2017-08-26_final
2017-08-26 10:17:00	ga_ls8c_ard_3-0-0_100071_2017-08-26_final
2017-08-27 10:59:52	ga_ls8c_ard_3-0-0_107070_2017-08-27_final
2017-08-27 11:00:16	ga_ls8c_ard_3-0-0_107071_2017-08-27_final
2021-04-28 11:24:28	ga_ls8c_ard_3-2-0_111071_2021-04-28_final
2021-04-29 10:28:50	ga_ls8c_ard_3-2-0_102071_2021-04-29_final
2021-04-30 09:33:12	ga_ls8c_ard_3-2-0_093071_2021-04-30_final
2021-04-30 11:12:05	ga_ls8c_ard_3-2-0_109071_2021-04-30_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-05-02 10:59:42	ga_ls8c_ard_3-2-0_107071_2021-05-02_final
2021-05-03 10:04:04	ga_ls8c_ard_3-2-0_098071_2021-05-03_final
2021-05-14 11:24:28	ga_ls8c_ard_3-2-0_111071_2021-05-14_final
2021-05-15 10:28:27	ga_ls8c_ard_3-2-0_102070_2021-05-15_final
2021-05-15 10:28:51	ga_ls8c_ard_3-2-0_102071_2021-05-15_final
2021-05-16 09:33:14	ga_ls8c_ard_3-2-0_093071_2021-05-16_final
2021-05-16 11:11:43	ga_ls8c_ard_3-2-0_109070_2021-05-16_final
2021-05-16 11:12:07	ga_ls8c_ard_3-2-0_109071_2021-05-16_final
2021-05-19 10:03:46	ga_ls8c_ard_3-2-0_098070_2021-05-19_final
2021-05-19 10:04:10	ga_ls8c_ard_3-2-0_098071_2021-05-19_final
2021-05-20 10:47:27	ga_ls8c_ard_3-2-0_105071_2021-05-20_final
2021-05-31 10:28:36	ga_ls8c_ard_3-2-0_102070_2021-05-31_final
2021-05-31 10:29:00	ga_ls8c_ard_3-2-0_102071_2021-05-31_final
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-01 11:12:16	ga_ls8c_ard_3-2-0_109071_2021-06-01_final
2021-09-03 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-09-03_final
2021-09-04 10:29:07	ga_ls8c_ard_3-2-0_102070_2021-09-04_final
2021-09-04 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-09-04_final
2021-09-05 09:33:53	ga_ls8c_ard_3-2-0_093071_2021-09-05_final
2021-09-05 11:12:47	ga_ls8c_ard_3-2-0_109071_2021-09-05_final
2021-09-06 10:16:46	ga_ls8c_ard_3-2-0_100070_2021-09-06_final
2021-09-06 10:17:09	ga_ls8c_ard_3-2-0_100071_2021-09-06_final
2021-09-07 11:00:01	ga_ls8c_ard_3-2-0_107070_2021-09-07_final
2021-09-07 11:00:25	ga_ls8c_ard_3-2-0_107071_2021-09-07_final
2021-09-08 10:04:24	ga_ls8c_ard_3-2-0_098070_2021-09-08_final
2021-09-08 10:04:48	ga_ls8c_ard_3-2-0_098071_2021-09-08_final
2021-09-09 10:47:40	ga_ls8c_ard_3-2-0_105070_2021-09-09_final
2021-09-09 10:48:04	ga_ls8c_ard_3-2-0_105071_2021-09-09_final
2021-09-10 09:52:27	ga_ls8c_ard_3-2-0_096071_2021-09-10_final
2021-09-10 11:31:20	ga_ls8c_ard_3-2-0_112071_2021-09-10_final
2021-09-11 10:35:43	ga_ls8c_ard_3-2-0_103071_2021-09-11_final
2021-09-12 09:40:06	ga_ls8c_ard_3-2-0_094071_2021-09-12_final
2021-09-12 11:18:59	ga_ls8c_ard_3-2-0_110071_2021-09-12_final
2021-09-13 10:22:58	ga_ls8c_ard_3-2-0_101070_2021-09-13_final
2021-09-13 10:23:22	ga_ls8c_ard_3-2-0_101071_2021-09-13_final
2021-09-14 09:27:45	ga_ls8c_ard_3-2-0_092071_2021-09-13_final
2021-09-14 11:06:38	ga_ls8c_ard_3-2-0_108071_2021-09-14_final
2021-09-15 10:11:01	ga_ls8c_ard_3-2-0_099071_2021-09-15_final
2021-09-16 10:54:16	ga_ls8c_ard_3-2-0_106071_2021-09-16_final
2021-10-12 09:52:36	ga_ls8c_ard_3-2-0_096071_2021-10-12_final
2021-10-12 11:31:29	ga_ls8c_ard_3-2-0_112071_2021-10-12_final
2021-10-13 10:35:28	ga_ls8c_ard_3-2-0_103070_2021-10-13_final
2021-10-13 10:35:52	ga_ls8c_ard_3-2-0_103071_2021-10-13_final
2021-10-14 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-14_final
2021-10-14 11:19:08	ga_ls8c_ard_3-2-0_110071_2021-10-14_final
2021-10-15 10:23:06	ga_ls8c_ard_3-2-0_101070_2021-10-15_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