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
2015-09-17 10:03:30	ga_ls8c_ard_3-0-0_097084_2015-09-17_final
2015-09-17 11:41:59	ga_ls8c_ard_3-0-0_113083_2015-09-17_final
2015-09-17 11:42:23	ga_ls8c_ard_3-0-0_113084_2015-09-17_final
2015-09-18 09:07:53	ga_ls8c_ard_3-0-0_088084_2015-09-17_final
2015-09-18 10:46:22	ga_ls8c_ard_3-0-0_104083_2015-09-18_final
2015-09-19 09:51:09	ga_ls8c_ard_3-0-0_095084_2015-09-19_final
2015-09-19 11:30:02	ga_ls8c_ard_3-0-0_111084_2015-09-19_final
2015-09-21 09:38:24	ga_ls8c_ard_3-0-0_093083_2015-09-21_final
2015-09-21 09:38:48	ga_ls8c_ard_3-0-0_093084_2015-09-21_final
2015-09-21 11:17:41	ga_ls8c_ard_3-0-0_109084_2015-09-21_final
2015-09-22 10:21:40	ga_ls8c_ard_3-0-0_100083_2015-09-22_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 11:05:20	ga_ls8c_ard_3-0-0_107084_2015-09-23_final
2015-10-13 10:40:15	ga_ls8c_ard_3-0-0_103083_2015-10-13_final
2015-10-14 09:44:37	ga_ls8c_ard_3-0-0_094083_2015-10-14_final
2015-10-14 09:45:01	ga_ls8c_ard_3-0-0_094084_2015-10-14_final
2015-10-14 11:23:30	ga_ls8c_ard_3-0-0_110083_2015-10-14_final
2015-10-14 11:23:54	ga_ls8c_ard_3-0-0_110084_2015-10-14_final
2015-10-15 10:27:53	ga_ls8c_ard_3-0-0_101083_2015-10-15_final
2015-10-16 09:32:15	ga_ls8c_ard_3-0-0_092083_2015-10-16_final
2015-10-16 09:32:39	ga_ls8c_ard_3-0-0_092084_2015-10-16_final
2015-10-16 11:11:08	ga_ls8c_ard_3-0-0_108083_2015-10-16_final
2015-10-16 11:11:32	ga_ls8c_ard_3-0-0_108084_2015-10-16_final
2015-11-24 09:38:59	ga_ls8c_ard_3-0-0_093084_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-24 11:17:52	ga_ls8c_ard_3-0-0_109084_2015-11-24_final
2015-11-25 10:22:15	ga_ls8c_ard_3-0-0_100084_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 11:05:06	ga_ls8c_ard_3-0-0_107083_2015-11-26_final
2015-11-26 11:05:30	ga_ls8c_ard_3-0-0_107084_2015-11-26_final
2015-12-03 09:32:48	ga_ls8c_ard_3-0-0_092084_2015-12-03_final
2015-12-03 11:11:17	ga_ls8c_ard_3-0-0_108083_2015-12-03_final
2015-12-03 11:11:41	ga_ls8c_ard_3-0-0_108084_2015-12-03_final
2015-12-04 10:16:03	ga_ls8c_ard_3-0-0_099084_2015-12-04_final
2015-12-05 09:20:02	ga_ls8c_ard_3-0-0_090083_2015-12-04_final
2015-12-05 09:20:26	ga_ls8c_ard_3-0-0_090084_2015-12-04_final
2015-12-05 10:59:19	ga_ls8c_ard_3-0-0_106084_2015-12-05_final
2016-01-09 09:50:51	ga_ls8c_ard_3-0-0_095083_2016-01-09_final
2016-01-09 09:51:15	ga_ls8c_ard_3-0-0_095084_2016-01-09_final
2016-01-10 10:34:07	ga_ls8c_ard_3-0-0_102083_2016-01-10_final
2016-02-22 10:15:48	ga_ls8c_ard_3-0-0_099084_2016-02-22_final
2016-02-23 09:20:11	ga_ls8c_ard_3-0-0_090084_2016-02-22_final
2016-02-23 10:59:04	ga_ls8c_ard_3-0-0_106084_2016-02-23_final
2016-02-24 10:03:27	ga_ls8c_ard_3-0-0_097084_2016-02-24_final
2016-02-24 11:42:20	ga_ls8c_ard_3-0-0_113084_2016-02-24_final
2016-02-25 09:07:26	ga_ls8c_ard_3-0-0_088083_2016-02-24_final
2016-02-25 09:07:50	ga_ls8c_ard_3-0-0_088084_2016-02-24_final
2016-02-25 10:46:19	ga_ls8c_ard_3-1-0_104083_2016-02-25_final
2016-02-26 09:51:05	ga_ls8c_ard_3-0-0_095084_2016-02-26_final
2016-02-26 11:29:58	ga_ls8c_ard_3-0-0_111084_2016-02-26_final
2016-02-28 09:38:44	ga_ls8c_ard_3-0-0_093084_2016-02-28_final
2016-02-28 11:17:37	ga_ls8c_ard_3-0-0_109084_2016-02-28_final
2016-02-29 10:21:59	ga_ls8c_ard_3-0-0_100084_2016-02-29_final
2016-03-01 09:26:22	ga_ls8c_ard_3-0-0_091084_2016-02-29_final
2016-03-01 11:05:15	ga_ls8c_ard_3-0-0_107084_2016-03-01_final
2016-03-14 10:33:54	ga_ls8c_ard_3-0-0_102083_2016-03-14_final
2016-03-15 09:38:40	ga_ls8c_ard_3-0-0_093084_2016-03-15_final
2016-03-15 11:17:33	ga_ls8c_ard_3-0-0_109084_2016-03-15_final
2016-03-16 10:21:55	ga_ls8c_ard_3-0-0_100084_2016-03-16_final
2016-03-17 09:26:17	ga_ls8c_ard_3-0-0_091084_2016-03-16_final
2016-03-17 11:05:10	ga_ls8c_ard_3-0-0_107084_2016-03-17_final
2016-03-18 10:09:32	ga_ls8c_ard_3-0-0_098084_2016-03-18_final
2016-03-19 09:13:54	ga_ls8c_ard_3-0-0_089084_2016-03-18_final
2016-03-20 09:57:10	ga_ls8c_ard_3-0-0_096084_2016-03-20_final
2016-03-20 11:36:03	ga_ls8c_ard_3-0-0_112084_2016-03-20_final
2016-05-11 09:31:48	ga_ls8c_ard_3-0-0_092083_2016-05-11_final
2016-05-11 09:32:12	ga_ls8c_ard_3-0-0_092084_2016-05-11_final
2016-05-11 11:10:41	ga_ls8c_ard_3-0-0_108083_2016-05-11_final
2016-05-11 11:11:05	ga_ls8c_ard_3-0-0_108084_2016-05-11_final
2016-05-12 10:15:03	ga_ls8c_ard_3-0-0_099083_2016-05-12_final
2016-05-12 10:15:27	ga_ls8c_ard_3-0-0_099084_2016-05-12_final
2016-05-13 09:19:25	ga_ls8c_ard_3-0-0_090083_2016-05-12_final
2016-05-13 09:19:49	ga_ls8c_ard_3-0-0_090084_2016-05-12_final
2016-05-13 10:58:18	ga_ls8c_ard_3-0-0_106083_2016-05-13_final
2016-05-13 10:58:42	ga_ls8c_ard_3-0-0_106084_2016-05-13_final
2017-03-20 09:26:08	ga_ls8c_ard_3-0-0_091084_2017-03-19_final
2017-03-20 11:05:01	ga_ls8c_ard_3-0-0_107084_2017-03-20_final
2017-03-21 10:09:23	ga_ls8c_ard_3-0-0_098084_2017-03-21_final
2017-03-22 09:13:45	ga_ls8c_ard_3-0-0_089084_2017-03-21_final
2017-03-23 09:57:00	ga_ls8c_ard_3-0-0_096084_2017-03-23_final
2017-03-23 11:35:53	ga_ls8c_ard_3-0-0_112084_2017-03-23_final
2017-06-21 10:33:47	ga_ls8c_ard_3-0-0_102083_2017-06-21_final
2017-06-22 09:38:10	ga_ls8c_ard_3-0-0_093083_2017-06-22_final
2017-06-22 09:38:34	ga_ls8c_ard_3-0-0_093084_2017-06-22_final
2017-06-22 11:17:03	ga_ls8c_ard_3-0-0_109083_2017-06-22_final
2017-06-22 11:17:27	ga_ls8c_ard_3-0-0_109084_2017-06-22_final
2017-06-23 10:21:26	ga_ls8c_ard_3-0-0_100083_2017-06-23_final
2017-06-23 10:21:50	ga_ls8c_ard_3-0-0_100084_2017-06-23_final
2017-06-24 09:26:13	ga_ls8c_ard_3-0-0_091084_2017-06-23_final
2017-06-24 11:04:42	ga_ls8c_ard_3-0-0_107083_2017-06-24_final
2017-06-24 11:05:06	ga_ls8c_ard_3-0-0_107084_2017-06-24_final
2017-08-24 10:34:08	ga_ls8c_ard_3-0-0_102083_2017-08-24_final
2017-08-25 09:38:55	ga_ls8c_ard_3-0-0_093084_2017-08-25_final
2017-08-25 11:17:24	ga_ls8c_ard_3-0-0_109083_2017-08-25_final
2017-08-25 11:17:48	ga_ls8c_ard_3-0-0_109084_2017-08-25_final
2017-08-26 10:22:11	ga_ls8c_ard_3-0-0_100084_2017-08-26_final
2017-08-27 09:26:10	ga_ls8c_ard_3-0-0_091083_2017-08-26_final
2017-08-27 09:26:34	ga_ls8c_ard_3-0-0_091084_2017-08-26_final
2017-08-27 11:05:03	ga_ls8c_ard_3-0-0_107083_2017-08-27_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