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
2013-04-01 10:09:38	ga_ls8c_ard_3-0-0_099072_2013-04-01_final
2013-07-01 10:49:46	ga_ls8c_ard_3-0-0_105071_2013-07-01_final
2013-07-01 10:50:10	ga_ls8c_ard_3-0-0_105072_2013-07-01_final
2013-07-02 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-07-02_final
2013-07-02 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-07-02_final
2013-07-03 10:37:25	ga_ls8c_ard_3-0-0_103071_2013-07-03_final
2013-07-03 10:37:49	ga_ls8c_ard_3-0-0_103072_2013-07-03_final
2013-07-04 11:20:41	ga_ls8c_ard_3-0-0_110071_2013-07-04_final
2013-07-04 11:21:05	ga_ls8c_ard_3-0-0_110072_2013-07-04_final
2013-07-05 10:25:04	ga_ls8c_ard_3-0-0_101071_2013-07-05_final
2013-07-05 10:25:28	ga_ls8c_ard_3-1-0_101072_2013-07-05_final
2013-08-21 11:20:44	ga_ls8c_ard_3-0-0_110071_2013-08-21_final
2013-08-21 11:21:08	ga_ls8c_ard_3-0-0_110072_2013-08-21_final
2013-08-22 10:25:07	ga_ls8c_ard_3-0-0_101071_2013-08-22_final
2013-08-22 10:25:31	ga_ls8c_ard_3-1-0_101072_2013-08-22_final
2013-08-23 11:08:23	ga_ls8c_ard_3-0-0_108071_2013-08-23_final
2013-08-23 11:08:47	ga_ls8c_ard_3-0-0_108072_2013-08-23_final
2013-08-24 10:12:46	ga_ls8c_ard_3-0-0_099071_2013-08-24_final
2013-08-24 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-08-24_final
2018-02-23 10:35:12	ga_ls8c_ard_3-0-0_103071_2018-02-23_final
2018-02-23 10:35:36	ga_ls8c_ard_3-0-0_103072_2018-02-23_final
2018-02-24 09:39:58	ga_ls8c_ard_3-0-0_094072_2018-02-24_final
2018-02-24 11:18:27	ga_ls8c_ard_3-0-0_110071_2018-02-24_final
2018-02-24 11:18:51	ga_ls8c_ard_3-0-0_110072_2018-02-24_final
2018-02-25 10:22:49	ga_ls8c_ard_3-0-0_101071_2018-02-25_final
2018-02-25 10:23:13	ga_ls8c_ard_3-1-0_101072_2018-02-25_final
2018-02-26 09:27:12	ga_ls8c_ard_3-0-0_092071_2018-02-25_final
2018-02-26 09:27:36	ga_ls8c_ard_3-0-0_092072_2018-02-25_final
2018-02-26 11:06:28	ga_ls8c_ard_3-0-0_108072_2018-02-26_final
2018-03-11 10:35:03	ga_ls8c_ard_3-0-0_103071_2018-03-11_final
2018-03-11 10:35:27	ga_ls8c_ard_3-0-0_103072_2018-03-11_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-03-12 11:18:42	ga_ls8c_ard_3-0-0_110072_2018-03-12_final
2018-03-13 10:22:40	ga_ls8c_ard_3-0-0_101071_2018-03-13_final
2018-03-13 10:23:04	ga_ls8c_ard_3-0-0_101072_2018-03-13_final
2018-03-14 09:27:26	ga_ls8c_ard_3-0-0_092072_2018-03-13_final
2018-03-14 11:06:19	ga_ls8c_ard_3-0-0_108072_2018-03-14_final
2018-05-17 09:26:27	ga_ls8c_ard_3-0-0_092071_2018-05-16_final
2018-05-17 09:26:51	ga_ls8c_ard_3-0-0_092072_2018-05-16_final
2018-05-17 11:05:44	ga_ls8c_ard_3-0-0_108072_2018-05-17_final
2018-07-01 10:34:30	ga_ls8c_ard_3-0-0_103071_2018-07-01_final
2018-07-01 10:34:54	ga_ls8c_ard_3-0-0_103072_2018-07-01_final
2018-07-02 09:38:53	ga_ls8c_ard_3-0-0_094071_2018-07-02_final
2018-07-02 09:39:17	ga_ls8c_ard_3-0-0_094072_2018-07-02_final
2018-07-02 11:17:46	ga_ls8c_ard_3-0-0_110071_2018-07-02_final
2018-07-02 11:18:10	ga_ls8c_ard_3-0-0_110072_2018-07-02_final
2018-07-03 10:22:09	ga_ls8c_ard_3-0-0_101071_2018-07-03_final
2018-07-03 10:22:33	ga_ls8c_ard_3-0-0_101072_2018-07-03_final
2018-07-04 09:26:33	ga_ls8c_ard_3-0-0_092071_2018-07-03_final
2018-07-04 09:26:57	ga_ls8c_ard_3-0-0_092072_2018-07-03_final
2018-07-04 11:05:26	ga_ls8c_ard_3-0-0_108071_2018-07-04_final
2018-07-04 11:05:50	ga_ls8c_ard_3-0-0_108072_2018-07-04_final
2019-07-05 09:39:44	ga_ls8c_ard_3-1-0_094071_2019-07-05_final
2019-07-07 09:27:23	ga_ls8c_ard_3-1-0_092071_2019-07-06_final
2019-07-07 09:27:47	ga_ls8c_ard_3-1-0_092072_2019-07-06_final
2019-07-07 11:06:16	ga_ls8c_ard_3-1-0_108071_2019-07-07_final
2019-07-07 11:06:40	ga_ls8c_ard_3-1-0_108072_2019-07-07_final
2019-07-13 10:29:12	ga_ls8c_ard_3-1-0_102071_2019-07-13_final
2019-07-13 10:29:36	ga_ls8c_ard_3-1-0_102072_2019-07-13_final
2019-07-14 09:33:35	ga_ls8c_ard_3-1-0_093071_2019-07-14_final
2019-07-14 09:33:59	ga_ls8c_ard_3-1-0_093072_2019-07-14_final
2019-07-14 11:12:28	ga_ls8c_ard_3-1-0_109071_2019-07-14_final
2019-07-14 11:12:52	ga_ls8c_ard_3-1-0_109072_2019-07-14_final
2019-07-15 10:16:51	ga_ls8c_ard_3-1-0_100071_2019-07-15_final
2019-07-15 10:17:15	ga_ls8c_ard_3-1-0_100072_2019-07-15_final
2019-07-16 09:21:38	ga_ls8c_ard_3-1-0_091072_2019-07-15_final
2019-07-16 11:00:07	ga_ls8c_ard_3-1-0_107071_2019-07-16_final
2019-07-16 11:00:31	ga_ls8c_ard_3-1-0_107072_2019-07-16_final
2019-10-01 10:29:37	ga_ls8c_ard_3-1-0_102071_2019-10-01_final
2019-10-01 10:30:01	ga_ls8c_ard_3-1-0_102072_2019-10-01_final
2019-10-02 09:34:00	ga_ls8c_ard_3-1-0_093071_2019-10-02_final
2019-10-02 09:34:24	ga_ls8c_ard_3-1-0_093072_2019-10-02_final
2019-10-02 11:12:53	ga_ls8c_ard_3-1-0_109071_2019-10-02_final
2019-10-02 11:13:17	ga_ls8c_ard_3-1-0_109072_2019-10-02_final
2019-10-03 10:17:16	ga_ls8c_ard_3-1-0_100071_2019-10-03_final
2019-10-03 10:17:40	ga_ls8c_ard_3-1-0_100072_2019-10-03_final
2019-10-04 09:22:03	ga_ls8c_ard_3-1-0_091072_2019-10-03_final
2019-10-04 11:00:32	ga_ls8c_ard_3-1-0_107071_2019-10-04_final
2019-10-04 11:00:56	ga_ls8c_ard_3-1-0_107072_2019-10-04_final
2019-10-05 10:04:55	ga_ls8c_ard_3-1-0_098071_2019-10-05_final
2019-10-05 10:05:19	ga_ls8c_ard_3-1-0_098072_2019-10-05_final
2019-10-06 10:48:11	ga_ls8c_ard_3-1-0_105071_2019-10-06_final
2019-10-06 10:48:35	ga_ls8c_ard_3-1-0_105072_2019-10-06_final
2019-10-07 09:52:33	ga_ls8c_ard_3-1-0_096071_2019-10-07_final
2019-10-07 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-10-07_final
2019-10-07 11:31:27	ga_ls8c_ard_3-1-0_112071_2019-10-07_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2019-10-08 10:35:49	ga_ls8c_ard_3-1-0_103071_2019-10-08_final
2019-10-08 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-10-08_final
2019-11-09 10:35:49	ga_ls8c_ard_3-1-0_103071_2019-11-09_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2019-11-10 09:40:11	ga_ls8c_ard_3-1-0_094071_2019-11-10_final
2019-11-10 09:40:35	ga_ls8c_ard_3-1-0_094072_2019-11-10_final
2019-11-10 11:19:04	ga_ls8c_ard_3-1-0_110071_2019-11-10_final
2019-11-10 11:19:28	ga_ls8c_ard_3-1-0_110072_2019-11-10_final
2019-11-11 10:23:27	ga_ls8c_ard_3-1-0_101071_2019-11-11_final
2019-11-11 10:23:51	ga_ls8c_ard_3-1-0_101072_2019-11-11_final
2019-11-12 09:27:49	ga_ls8c_ard_3-1-0_092071_2019-11-11_final
2019-11-12 09:28:13	ga_ls8c_ard_3-1-0_092072_2019-11-11_final
2019-11-12 11:06:42	ga_ls8c_ard_3-1-0_108071_2019-11-12_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