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
2013-03-31 09:31:51	ga_ls8c_ard_3-0-0_092074_2013-03-31_final
2013-03-31 11:10:26	ga_ls8c_ard_3-0-0_108074_2013-03-31_final
2013-04-01 10:10:26	ga_ls8c_ard_3-0-0_099074_2013-04-01_final
2013-04-01 11:49:01	ga_ls8c_ard_3-0-0_114074_2013-04-01_final
2013-04-29 11:34:02	ga_ls8c_ard_3-0-0_112074_2013-04-29_final
2013-04-30 10:38:25	ga_ls8c_ard_3-0-0_103074_2013-04-30_final
2013-05-02 10:26:05	ga_ls8c_ard_3-0-0_101074_2013-05-02_final
2013-07-01 10:50:34	ga_ls8c_ard_3-0-0_105073_2013-07-01_final
2013-07-01 10:50:58	ga_ls8c_ard_3-0-0_105074_2013-07-01_final
2013-07-02 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-07-02_final
2013-07-02 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-07-02_final
2013-07-02 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-07-02_final
2013-07-03 10:38:37	ga_ls8c_ard_3-0-0_103074_2013-07-03_final
2013-07-04 09:43:00	ga_ls8c_ard_3-0-0_094074_2013-07-04_final
2013-07-04 11:21:29	ga_ls8c_ard_3-0-0_110073_2013-07-04_final
2013-07-04 11:21:53	ga_ls8c_ard_3-0-0_110074_2013-07-04_final
2013-07-05 10:25:52	ga_ls8c_ard_3-0-0_101073_2013-07-05_final
2013-07-05 10:26:16	ga_ls8c_ard_3-0-0_101074_2013-07-05_final
2013-07-16 10:07:19	ga_ls8c_ard_3-0-0_098073_2013-07-16_final
2013-07-16 10:07:43	ga_ls8c_ard_3-0-0_098074_2013-07-16_final
2013-07-18 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-07-18_final
2013-07-18 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-07-18_final
2013-07-19 10:38:36	ga_ls8c_ard_3-0-0_103074_2013-07-19_final
2013-07-20 09:42:59	ga_ls8c_ard_3-0-0_094074_2013-07-20_final
2013-07-20 11:21:28	ga_ls8c_ard_3-0-0_110073_2013-07-20_final
2013-07-20 11:21:52	ga_ls8c_ard_3-0-0_110074_2013-07-20_final
2013-08-21 11:21:56	ga_ls8c_ard_3-0-0_110074_2013-08-21_final
2013-08-22 10:26:19	ga_ls8c_ard_3-0-0_101074_2013-08-22_final
2013-08-23 09:30:42	ga_ls8c_ard_3-0-0_092074_2013-08-23_final
2013-08-23 11:09:35	ga_ls8c_ard_3-0-0_108074_2013-08-23_final
2013-08-24 11:52:51	ga_ls8c_ard_3-0-0_115074_2013-08-24_final
2013-09-11 11:40:27	ga_ls8c_ard_3-0-0_113074_2013-09-11_final
2013-09-12 10:44:49	ga_ls8c_ard_3-0-0_104074_2013-09-12_final
2013-09-13 09:49:12	ga_ls8c_ard_3-0-0_095074_2013-09-13_final
2013-09-13 11:28:05	ga_ls8c_ard_3-0-0_111074_2013-09-13_final
2013-09-14 10:32:27	ga_ls8c_ard_3-0-0_102074_2013-09-14_final
2013-09-15 09:36:49	ga_ls8c_ard_3-0-0_093074_2013-09-15_final
2013-09-15 11:15:42	ga_ls8c_ard_3-0-0_109074_2013-09-15_final
2018-02-23 10:36:24	ga_ls8c_ard_3-0-0_103074_2018-02-23_final
2018-02-24 09:40:46	ga_ls8c_ard_3-0-0_094074_2018-02-24_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-02-25 10:24:01	ga_ls8c_ard_3-0-0_101074_2018-02-25_final
2018-02-26 09:28:23	ga_ls8c_ard_3-0-0_092074_2018-02-25_final
2018-02-26 11:07:16	ga_ls8c_ard_3-0-0_108074_2018-02-26_final
2018-03-11 10:36:15	ga_ls8c_ard_3-0-0_103074_2018-03-11_final
2018-03-12 09:40:37	ga_ls8c_ard_3-0-0_094074_2018-03-12_final
2018-03-12 11:19:30	ga_ls8c_ard_3-0-0_110074_2018-03-12_final
2018-03-13 10:23:52	ga_ls8c_ard_3-0-0_101074_2018-03-13_final
2018-03-14 09:28:14	ga_ls8c_ard_3-0-0_092074_2018-03-13_final
2018-03-14 11:07:07	ga_ls8c_ard_3-0-0_108074_2018-03-14_final
2018-05-17 09:27:39	ga_ls8c_ard_3-0-0_092074_2018-05-16_final
2018-05-17 11:06:32	ga_ls8c_ard_3-0-0_108074_2018-05-17_final
2018-07-01 10:35:42	ga_ls8c_ard_3-0-0_103074_2018-07-01_final
2018-07-02 09:40:05	ga_ls8c_ard_3-0-0_094074_2018-07-02_final
2018-07-02 11:18:58	ga_ls8c_ard_3-0-0_110074_2018-07-02_final
2018-07-03 10:23:21	ga_ls8c_ard_3-0-0_101074_2018-07-03_final
2018-07-04 09:27:44	ga_ls8c_ard_3-0-0_092074_2018-07-03_final
2018-07-04 11:06:14	ga_ls8c_ard_3-0-0_108073_2018-07-04_final
2018-07-04 11:06:38	ga_ls8c_ard_3-0-0_108074_2018-07-04_final
2019-07-04 10:36:33	ga_ls8c_ard_3-1-0_103074_2019-07-04_final
2019-07-05 09:40:32	ga_ls8c_ard_3-1-0_094073_2019-07-05_final
2019-07-05 09:40:56	ga_ls8c_ard_3-1-0_094074_2019-07-05_final
2019-07-05 11:19:25	ga_ls8c_ard_3-1-0_110073_2019-07-05_final
2019-07-05 11:19:49	ga_ls8c_ard_3-1-0_110074_2019-07-05_final
2019-07-06 10:24:12	ga_ls8c_ard_3-1-0_101074_2019-07-06_final
2019-07-07 09:28:35	ga_ls8c_ard_3-1-0_092074_2019-07-06_final
2019-07-07 11:07:28	ga_ls8c_ard_3-1-0_108074_2019-07-07_final
2019-07-13 10:30:00	ga_ls8c_ard_3-1-0_102073_2019-07-13_final
2019-07-13 10:30:24	ga_ls8c_ard_3-1-0_102074_2019-07-13_final
2019-07-14 09:34:23	ga_ls8c_ard_3-1-0_093073_2019-07-14_final
2019-07-14 09:34:47	ga_ls8c_ard_3-1-0_093074_2019-07-14_final
2019-07-14 11:13:16	ga_ls8c_ard_3-1-0_109073_2019-07-14_final
2019-07-14 11:13:40	ga_ls8c_ard_3-1-0_109074_2019-07-14_final
2019-07-15 10:18:03	ga_ls8c_ard_3-1-0_100074_2019-07-15_final
2019-07-15 11:56:56	ga_ls8c_ard_3-1-0_116074_2019-07-15_final
2019-07-16 09:22:02	ga_ls8c_ard_3-1-0_091073_2019-07-15_final
2019-07-16 09:22:26	ga_ls8c_ard_3-1-0_091074_2019-07-15_final
2019-07-16 11:00:55	ga_ls8c_ard_3-1-0_107073_2019-07-16_final
2019-07-16 11:01:19	ga_ls8c_ard_3-1-0_107074_2019-07-16_final
2019-10-01 10:30:49	ga_ls8c_ard_3-1-0_102074_2019-10-01_final
2019-10-02 09:35:12	ga_ls8c_ard_3-1-0_093074_2019-10-02_final
2019-10-02 11:14:05	ga_ls8c_ard_3-1-0_109074_2019-10-02_final
2019-10-03 10:18:04	ga_ls8c_ard_3-1-0_100073_2019-10-03_final
2019-10-03 10:18:28	ga_ls8c_ard_3-1-0_100074_2019-10-03_final
2019-10-03 11:57:21	ga_ls8c_ard_3-1-0_116074_2019-10-03_final
2019-10-04 09:22:51	ga_ls8c_ard_3-1-0_091074_2019-10-03_final
2019-10-04 11:01:44	ga_ls8c_ard_3-1-0_107074_2019-10-04_final
2019-10-05 10:06:07	ga_ls8c_ard_3-1-0_098074_2019-10-05_final
2019-10-05 11:44:36	ga_ls8c_ard_3-1-0_114073_2019-10-05_final
2019-10-05 11:45:00	ga_ls8c_ard_3-1-0_114074_2019-10-05_final
2019-10-06 09:10:29	ga_ls8c_ard_3-1-0_089074_2019-10-05_final
2019-10-06 10:49:22	ga_ls8c_ard_3-1-0_105074_2019-10-06_final
2019-10-07 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-10-07_final
2019-10-07 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-10-07_final
2019-10-08 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-10-08_final
2019-11-09 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-11-09_final
2019-11-10 09:41:23	ga_ls8c_ard_3-1-0_094074_2019-11-10_final
2019-11-10 11:20:16	ga_ls8c_ard_3-1-0_110074_2019-11-10_final
2019-11-11 10:24:39	ga_ls8c_ard_3-1-0_101074_2019-11-11_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_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