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
2013-04-26 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-04-25_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-06-27 09:41:35	ga_ls8c_ard_3-0-0_093086_2013-06-27_final
2013-06-29 09:29:14	ga_ls8c_ard_3-0-0_091086_2013-06-28_final
2013-07-01 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-06-30_final
2013-07-17 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-07-16_final
2013-07-17 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-07-16_final
2013-07-24 09:23:03	ga_ls8c_ard_3-0-0_090086_2013-07-23_final
2013-07-25 10:05:55	ga_ls8c_ard_3-0-0_097085_2013-07-25_final
2013-07-27 09:53:58	ga_ls8c_ard_3-0-0_095086_2013-07-27_final
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-19 10:00:12	ga_ls8c_ard_3-0-0_096086_2013-08-19_final
2013-08-25 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-08-24_final
2013-08-25 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-08-24_final
2013-08-26 10:06:00	ga_ls8c_ard_3-0-0_097085_2013-08-26_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-09-01 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-08-31_final
2013-09-03 09:16:57	ga_ls8c_ard_3-0-0_089086_2013-09-02_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-10-01 09:41:07	ga_ls8c_ard_3-0-0_093085_2013-10-01_final
2013-10-01 09:41:30	ga_ls8c_ard_3-0-0_093086_2013-10-01_final
2013-10-29 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-10-29_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-04 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-11-03_final
2013-11-05 10:11:53	ga_ls8c_ard_3-0-0_098085_2013-11-05_final
2013-11-06 09:16:39	ga_ls8c_ard_3-0-0_089086_2013-11-05_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2014-07-16 09:39:30	ga_ls8c_ard_3-0-0_093086_2014-07-16_final
2014-07-18 09:26:45	ga_ls8c_ard_3-0-0_091085_2014-07-17_final
2014-07-18 09:27:09	ga_ls8c_ard_3-0-0_091086_2014-07-17_final
2014-07-20 09:14:23	ga_ls8c_ard_3-0-0_089085_2014-07-19_final
2014-07-20 09:14:47	ga_ls8c_ard_3-0-0_089086_2014-07-19_final
2014-07-21 09:57:39	ga_ls8c_ard_3-0-0_096085_2014-07-21_final
2014-07-21 09:58:03	ga_ls8c_ard_3-0-0_096086_2014-07-21_final
2014-09-11 09:33:36	ga_ls8c_ard_3-0-0_092086_2014-09-11_final
2014-09-13 09:20:50	ga_ls8c_ard_3-0-0_090085_2014-09-12_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-29 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-09-28_final
2014-11-07 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-11-06_final
2014-11-08 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-11-08_final
2014-11-09 09:15:09	ga_ls8c_ard_3-0-0_089086_2014-11-08_final
2014-11-21 09:39:23	ga_ls8c_ard_3-0-0_093085_2014-11-21_final
2014-11-21 09:39:47	ga_ls8c_ard_3-0-0_093086_2014-11-21_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-11-24 10:10:19	ga_ls8c_ard_3-0-0_098085_2014-11-24_final
2014-11-25 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-11-24_final
2014-11-25 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-11-24_final
2014-12-11 09:15:00	ga_ls8c_ard_3-0-0_089086_2014-12-10_final
2014-12-12 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-12_final
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2019-07-05 09:45:20	ga_ls8c_ard_3-1-0_094085_2019-07-05_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-05 11:24:13	ga_ls8c_ard_3-1-0_110085_2019-07-05_final
2019-07-07 09:33:22	ga_ls8c_ard_3-1-0_092086_2019-07-07_final
2019-07-07 11:11:51	ga_ls8c_ard_3-1-0_108085_2019-07-07_final
2019-07-14 09:39:10	ga_ls8c_ard_3-1-0_093085_2019-07-14_final
2019-07-14 09:39:34	ga_ls8c_ard_3-1-0_093086_2019-07-14_final
2019-07-14 11:18:03	ga_ls8c_ard_3-1-0_109085_2019-07-14_final
2019-07-15 10:22:26	ga_ls8c_ard_3-1-0_100085_2019-07-15_final
2019-07-16 09:26:49	ga_ls8c_ard_3-1-0_091085_2019-07-15_final
2019-07-16 09:27:13	ga_ls8c_ard_3-1-0_091086_2019-07-15_final
2019-07-16 11:05:42	ga_ls8c_ard_3-1-0_107085_2019-07-16_final
2019-08-17 09:27:25	ga_ls8c_ard_3-1-0_091086_2019-08-16_final
2019-08-17 11:05:54	ga_ls8c_ard_3-1-0_107085_2019-08-17_final
2019-08-18 10:10:17	ga_ls8c_ard_3-1-0_098085_2019-08-18_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-20 09:57:56	ga_ls8c_ard_3-1-0_096085_2019-08-20_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-08-20 11:36:49	ga_ls8c_ard_3-1-0_112085_2019-08-20_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2019-09-03 10:10:20	ga_ls8c_ard_3-1-0_098085_2019-09-03_final
2019-09-03 10:10:44	ga_ls8c_ard_3-1-0_098086_2019-09-03_final
2019-09-04 09:14:43	ga_ls8c_ard_3-1-0_089085_2019-09-03_final
2019-09-04 09:15:07	ga_ls8c_ard_3-1-0_089086_2019-09-03_final
2019-09-05 09:57:59	ga_ls8c_ard_3-1-0_096085_2019-09-05_final
2019-09-05 09:58:23	ga_ls8c_ard_3-1-0_096086_2019-09-05_final
2019-09-05 11:36:52	ga_ls8c_ard_3-1-0_112085_2019-09-05_final
2019-09-23 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-09-23_final
2019-09-23 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-09-23_final
2019-09-23 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-09-23_final
2019-09-25 09:33:47	ga_ls8c_ard_3-1-0_092086_2019-09-25_final
2019-09-25 11:12:16	ga_ls8c_ard_3-1-0_108085_2019-09-25_final
2019-10-02 09:39:59	ga_ls8c_ard_3-1-0_093086_2019-10-02_final
2019-10-03 10:22:51	ga_ls8c_ard_3-1-0_100085_2019-10-03_final
2019-10-04 09:27:38	ga_ls8c_ard_3-1-0_091086_2019-10-03_final
2019-11-10 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-11-10_final
2019-11-10 11:24:40	ga_ls8c_ard_3-1-0_110085_2019-11-10_final
2019-11-12 09:33:49	ga_ls8c_ard_3-1-0_092086_2019-11-12_final
2019-11-12 11:12:18	ga_ls8c_ard_3-1-0_108085_2019-11-12_final
2019-11-19 09:39:58	ga_ls8c_ard_3-1-0_093086_2019-11-19_final
2019-11-20 10:22:49	ga_ls8c_ard_3-1-0_100085_2019-11-20_final
2019-11-21 09:27:35	ga_ls8c_ard_3-1-0_091086_2019-11-20_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