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
2015-01-04 10:02:48	ga_ls8c_ard_3-0-0_097082_2015-01-04_final
2015-01-04 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-01-04_final
2015-01-05 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-01-05_final
2015-01-06 09:50:27	ga_ls8c_ard_3-0-0_095082_2015-01-06_final
2015-01-06 11:29:20	ga_ls8c_ard_3-0-0_111082_2015-01-06_final
2015-01-06 11:29:44	ga_ls8c_ard_3-0-0_111083_2015-01-06_final
2015-01-07 10:33:42	ga_ls8c_ard_3-0-0_102082_2015-01-07_final
2015-03-11 09:50:02	ga_ls8c_ard_3-0-0_095082_2015-03-11_final
2015-03-11 11:28:55	ga_ls8c_ard_3-0-0_111082_2015-03-11_final
2015-03-12 10:33:16	ga_ls8c_ard_3-0-0_102082_2015-03-12_final
2015-03-26 09:06:39	ga_ls8c_ard_3-0-0_088082_2015-03-25_final
2015-03-26 09:07:03	ga_ls8c_ard_3-0-0_088083_2015-03-25_final
2015-03-27 09:49:53	ga_ls8c_ard_3-0-0_095082_2015-03-27_final
2015-03-27 09:50:17	ga_ls8c_ard_3-0-0_095083_2015-03-27_final
2015-03-27 11:28:46	ga_ls8c_ard_3-0-0_111082_2015-03-27_final
2015-03-28 10:33:08	ga_ls8c_ard_3-0-0_102082_2015-03-28_final
2015-05-09 09:30:56	ga_ls8c_ard_3-0-0_092082_2015-05-09_final
2015-05-09 11:09:49	ga_ls8c_ard_3-0-0_108082_2015-05-09_final
2015-05-10 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-10_final
2015-05-11 09:18:33	ga_ls8c_ard_3-0-0_090082_2015-05-10_final
2015-05-11 10:57:26	ga_ls8c_ard_3-0-0_106082_2015-05-11_final
2015-05-11 10:57:50	ga_ls8c_ard_3-0-0_106083_2015-05-11_final
2016-11-20 10:15:27	ga_ls8c_ard_3-0-0_099082_2016-11-20_final
2016-11-20 10:15:51	ga_ls8c_ard_3-0-0_099083_2016-11-20_final
2016-11-21 09:19:50	ga_ls8c_ard_3-0-0_090082_2016-11-20_final
2016-11-21 09:20:14	ga_ls8c_ard_3-0-0_090083_2016-11-20_final
2016-11-21 10:58:43	ga_ls8c_ard_3-0-0_106082_2016-11-21_final
2016-11-21 10:59:07	ga_ls8c_ard_3-0-0_106083_2016-11-21_final
2016-11-22 10:03:06	ga_ls8c_ard_3-0-0_097082_2016-11-22_final
2016-11-22 11:41:59	ga_ls8c_ard_3-0-0_113082_2016-11-22_final
2016-11-22 11:42:23	ga_ls8c_ard_3-0-0_113083_2016-11-22_final
2016-12-08 10:03:04	ga_ls8c_ard_3-0-0_097082_2016-12-08_final
2016-12-08 10:03:28	ga_ls8c_ard_3-0-0_097083_2016-12-08_final
2016-12-08 11:41:57	ga_ls8c_ard_3-0-0_113082_2016-12-08_final
2016-12-08 11:42:21	ga_ls8c_ard_3-0-0_113083_2016-12-08_final
2016-12-09 09:07:26	ga_ls8c_ard_3-0-0_088082_2016-12-08_final
2016-12-09 09:07:50	ga_ls8c_ard_3-0-0_088083_2016-12-08_final
2016-12-09 10:46:19	ga_ls8c_ard_3-0-0_104082_2016-12-09_final
2016-12-09 10:46:43	ga_ls8c_ard_3-0-0_104083_2016-12-09_final
2016-12-10 09:50:42	ga_ls8c_ard_3-0-0_095082_2016-12-10_final
2016-12-10 09:51:05	ga_ls8c_ard_3-0-0_095083_2016-12-10_final
2016-12-10 11:29:35	ga_ls8c_ard_3-0-0_111082_2016-12-10_final
2016-12-10 11:29:59	ga_ls8c_ard_3-0-0_111083_2016-12-10_final
2017-10-21 09:32:09	ga_ls8c_ard_3-0-0_092082_2017-10-21_final
2017-10-21 09:32:33	ga_ls8c_ard_3-0-0_092083_2017-10-21_final
2017-10-21 11:11:02	ga_ls8c_ard_3-0-0_108082_2017-10-21_final
2017-10-21 11:11:26	ga_ls8c_ard_3-0-0_108083_2017-10-21_final
2017-12-21 10:40:02	ga_ls8c_ard_3-0-0_103082_2017-12-21_final
2017-12-22 09:44:25	ga_ls8c_ard_3-0-0_094082_2017-12-22_final
2017-12-22 09:44:49	ga_ls8c_ard_3-1-0_094083_2017-12-22_final
2017-12-22 11:23:18	ga_ls8c_ard_3-0-0_110082_2017-12-22_final
2017-12-22 11:23:42	ga_ls8c_ard_3-0-0_110083_2017-12-22_final
2017-12-23 08:48:47	ga_ls8c_ard_3-2-1_085082_2017-12-22_final
2017-12-23 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-12-23_final
2017-12-23 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-12-23_final
2017-12-24 09:32:03	ga_ls8c_ard_3-0-0_092082_2017-12-24_final
2017-12-24 11:10:56	ga_ls8c_ard_3-0-0_108082_2017-12-24_final
2017-12-24 11:11:20	ga_ls8c_ard_3-0-0_108083_2017-12-24_final
2018-02-19 09:25:27	ga_ls8c_ard_3-0-0_091082_2018-02-18_final
2018-02-19 09:25:51	ga_ls8c_ard_3-0-0_091083_2018-02-18_final
2018-02-19 11:04:20	ga_ls8c_ard_3-0-0_107082_2018-02-19_final
2018-02-20 10:08:43	ga_ls8c_ard_3-0-0_098082_2018-02-20_final
2018-02-21 09:13:05	ga_ls8c_ard_3-0-0_089082_2018-02-20_final
2018-02-21 10:51:58	ga_ls8c_ard_3-0-0_105082_2018-02-21_final
2018-02-22 09:56:20	ga_ls8c_ard_3-0-0_096082_2018-02-22_final
2018-02-22 11:35:13	ga_ls8c_ard_3-0-0_112082_2018-02-22_final
2018-02-23 10:39:35	ga_ls8c_ard_3-0-0_103082_2018-02-23_final
2018-02-23 10:39:59	ga_ls8c_ard_3-0-0_103083_2018-02-23_final
2018-02-24 09:43:57	ga_ls8c_ard_3-0-0_094082_2018-02-24_final
2018-02-24 11:22:50	ga_ls8c_ard_3-0-0_110082_2018-02-24_final
2018-02-25 10:27:13	ga_ls8c_ard_3-0-0_101082_2018-02-25_final
2018-02-25 10:27:37	ga_ls8c_ard_3-0-0_101083_2018-02-25_final
2018-02-26 09:31:35	ga_ls8c_ard_3-0-0_092082_2018-02-26_final
2018-02-26 11:10:28	ga_ls8c_ard_3-0-0_108082_2018-02-26_final
2018-02-26 11:10:52	ga_ls8c_ard_3-0-0_108083_2018-02-26_final
2018-03-31 10:14:34	ga_ls8c_ard_3-0-0_099082_2018-03-31_final
2018-04-01 09:18:56	ga_ls8c_ard_3-0-0_090082_2018-03-31_final
2018-04-01 10:57:49	ga_ls8c_ard_3-0-0_106082_2018-04-01_final
2018-04-02 10:02:12	ga_ls8c_ard_3-0-0_097082_2018-04-02_final
2018-04-02 10:02:36	ga_ls8c_ard_3-0-0_097083_2018-04-02_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-03 09:06:34	ga_ls8c_ard_3-0-0_088082_2018-04-02_final
2018-04-03 10:45:27	ga_ls8c_ard_3-0-0_104082_2018-04-03_final
2018-04-03 10:45:51	ga_ls8c_ard_3-0-0_104083_2018-04-03_final
2018-04-04 09:49:49	ga_ls8c_ard_3-0-0_095082_2018-04-04_final
2018-04-04 09:50:13	ga_ls8c_ard_3-0-0_095083_2018-04-04_final
2018-04-04 11:28:42	ga_ls8c_ard_3-0-0_111082_2018-04-04_final
2018-04-05 10:33:04	ga_ls8c_ard_3-0-0_102082_2018-04-05_final
2018-05-05 09:06:16	ga_ls8c_ard_3-0-0_088082_2018-05-04_final
2018-05-05 10:45:09	ga_ls8c_ard_3-0-0_104082_2018-05-05_final
2018-05-06 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-05-06_final
2018-05-06 11:28:24	ga_ls8c_ard_3-0-0_111082_2018-05-06_final
2018-05-07 10:32:46	ga_ls8c_ard_3-0-0_102082_2018-05-07_final
2018-07-17 10:39:01	ga_ls8c_ard_3-0-0_103082_2018-07-17_final
2018-07-17 10:39:25	ga_ls8c_ard_3-0-0_103083_2018-07-17_final
2018-07-18 09:43:24	ga_ls8c_ard_3-0-0_094082_2018-07-18_final
2018-07-18 09:43:48	ga_ls8c_ard_3-0-0_094083_2018-07-18_final
2018-07-18 11:22:17	ga_ls8c_ard_3-0-0_110082_2018-07-18_final
2018-07-18 11:22:41	ga_ls8c_ard_3-0-0_110083_2018-07-18_final
2018-07-19 10:26:40	ga_ls8c_ard_3-0-0_101082_2018-07-19_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