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
2014-08-22 09:57:03	ga_ls8c_ard_3-0-0_096083_2014-08-22_final
2014-08-22 09:57:27	ga_ls8c_ard_3-0-0_096084_2014-08-22_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-08-24 09:44:41	ga_ls8c_ard_3-0-0_094083_2014-08-24_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-08-24 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-08-25 10:27:57	ga_ls8c_ard_3-0-0_101083_2014-08-25_final
2014-11-10 09:57:12	ga_ls8c_ard_3-0-0_096083_2014-11-10_final
2014-11-10 09:57:36	ga_ls8c_ard_3-0-0_096084_2014-11-10_final
2014-11-10 11:36:06	ga_ls8c_ard_3-0-0_112083_2014-11-10_final
2014-11-10 11:36:29	ga_ls8c_ard_3-0-0_112084_2014-11-10_final
2014-11-12 09:44:51	ga_ls8c_ard_3-0-0_094083_2014-11-12_final
2014-11-12 09:45:15	ga_ls8c_ard_3-0-0_094084_2014-11-12_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2014-12-28 09:57:02	ga_ls8c_ard_3-0-0_096083_2014-12-28_final
2014-12-28 09:57:26	ga_ls8c_ard_3-0-0_096084_2014-12-28_final
2014-12-28 11:35:55	ga_ls8c_ard_3-0-0_112083_2014-12-28_final
2014-12-28 11:36:19	ga_ls8c_ard_3-0-0_112084_2014-12-28_final
2014-12-30 09:45:03	ga_ls8c_ard_3-0-0_094084_2014-12-30_final
2014-12-30 11:23:56	ga_ls8c_ard_3-0-0_110084_2014-12-30_final
2014-12-31 10:27:54	ga_ls8c_ard_3-0-0_101083_2014-12-31_final
2015-04-14 09:38:13	ga_ls8c_ard_3-0-0_093084_2015-04-14_final
2015-04-14 11:17:06	ga_ls8c_ard_3-0-0_109084_2015-04-14_final
2015-04-15 10:21:29	ga_ls8c_ard_3-0-0_100084_2015-04-15_final
2015-04-16 09:25:51	ga_ls8c_ard_3-0-0_091084_2015-04-15_final
2015-04-16 11:04:44	ga_ls8c_ard_3-0-0_107084_2015-04-16_final
2015-04-30 09:38:05	ga_ls8c_ard_3-0-0_093084_2015-04-30_final
2015-04-30 11:16:58	ga_ls8c_ard_3-0-0_109084_2015-04-30_final
2015-05-01 10:21:19	ga_ls8c_ard_3-0-0_100084_2015-05-01_final
2015-05-02 09:25:41	ga_ls8c_ard_3-0-0_091084_2015-05-01_final
2015-05-02 11:04:10	ga_ls8c_ard_3-0-0_107083_2015-05-02_final
2015-05-02 11:04:34	ga_ls8c_ard_3-0-0_107084_2015-05-02_final
2015-05-16 09:37:27	ga_ls8c_ard_3-0-0_093083_2015-05-16_final
2015-05-16 09:37:51	ga_ls8c_ard_3-0-0_093084_2015-05-16_final
2015-05-16 11:16:20	ga_ls8c_ard_3-0-0_109083_2015-05-16_final
2015-05-16 11:16:44	ga_ls8c_ard_3-0-0_109084_2015-05-16_final
2015-05-17 10:20:43	ga_ls8c_ard_3-0-0_100083_2015-05-17_final
2015-05-17 10:21:07	ga_ls8c_ard_3-0-0_100084_2015-05-17_final
2015-05-18 09:25:06	ga_ls8c_ard_3-0-0_091083_2015-05-17_final
2015-05-18 09:25:30	ga_ls8c_ard_3-0-0_091084_2015-05-17_final
2015-05-18 11:03:59	ga_ls8c_ard_3-0-0_107083_2015-05-18_final
2015-05-18 11:04:23	ga_ls8c_ard_3-0-0_107084_2015-05-18_final
2017-05-15 10:14:57	ga_ls8c_ard_3-0-0_099083_2017-05-15_final
2017-05-15 10:15:21	ga_ls8c_ard_3-0-0_099084_2017-05-15_final
2017-05-16 09:19:20	ga_ls8c_ard_3-0-0_090083_2017-05-15_final
2017-05-16 09:19:44	ga_ls8c_ard_3-0-0_090084_2017-05-15_final
2017-05-16 10:58:13	ga_ls8c_ard_3-0-0_106083_2017-05-16_final
2017-05-16 10:58:37	ga_ls8c_ard_3-0-0_106084_2017-05-16_final
2017-06-29 09:44:23	ga_ls8c_ard_3-0-0_094083_2017-06-29_final
2017-06-29 09:44:47	ga_ls8c_ard_3-0-0_094084_2017-06-29_final
2017-06-29 11:23:16	ga_ls8c_ard_3-0-0_110083_2017-06-29_final
2017-06-29 11:23:40	ga_ls8c_ard_3-0-0_110084_2017-06-29_final
2017-06-30 10:27:39	ga_ls8c_ard_3-0-0_101083_2017-06-30_final
2017-06-30 10:28:03	ga_ls8c_ard_3-0-0_101084_2017-06-30_final
2017-07-01 09:32:02	ga_ls8c_ard_3-0-0_092083_2017-07-01_final
2017-07-01 09:32:26	ga_ls8c_ard_3-0-0_092084_2017-07-01_final
2017-07-01 11:10:55	ga_ls8c_ard_3-0-0_108083_2017-07-01_final
2017-07-01 11:11:19	ga_ls8c_ard_3-0-0_108084_2017-07-01_final
2017-07-02 10:15:18	ga_ls8c_ard_3-0-0_099083_2017-07-02_final
2017-07-02 10:15:42	ga_ls8c_ard_3-0-0_099084_2017-07-02_final
2017-07-03 09:19:41	ga_ls8c_ard_3-0-0_090083_2017-07-02_final
2017-07-03 09:20:04	ga_ls8c_ard_3-0-0_090084_2017-07-02_final
2017-07-03 10:58:34	ga_ls8c_ard_3-0-0_106083_2017-07-03_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2022-07-20 11:29:58	ga_ls8c_ard_3-2-1_111083_2022-07-20_final
2022-07-20 11:30:22	ga_ls8c_ard_3-2-1_111084_2022-07-20_final
2022-07-24 11:05:18	ga_ls8c_ard_3-2-1_107083_2022-07-24_final
2022-07-24 11:05:41	ga_ls8c_ard_3-2-1_107084_2022-07-24_final
2022-07-25 10:09:41	ga_ls8c_ard_3-2-1_098083_2022-07-25_final
2022-07-25 10:10:05	ga_ls8c_ard_3-2-1_098084_2022-07-25_final
2022-07-26 09:14:04	ga_ls8c_ard_3-2-1_089083_2022-07-25_final
2022-07-26 09:14:28	ga_ls8c_ard_3-2-1_089084_2022-07-25_final
2022-07-27 11:36:14	ga_ls8c_ard_3-2-1_112083_2022-07-27_final
2022-07-27 11:36:38	ga_ls8c_ard_3-2-1_112084_2022-07-27_final
2022-08-11 10:53:06	ga_ls8c_ard_3-2-1_105083_2022-08-11_final
2022-08-12 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-08-12_final
2022-08-12 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-08-12_final
2022-08-12 11:36:22	ga_ls8c_ard_3-2-1_112083_2022-08-12_final
2022-08-12 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-08-12_final
2022-08-14 09:45:08	ga_ls8c_ard_3-2-1_094083_2022-08-14_final
2022-08-14 09:45:32	ga_ls8c_ard_3-2-1_094084_2022-08-14_final
2022-08-23 11:17:51	ga_ls8c_ard_3-2-1_109083_2022-08-23_final
2022-08-23 11:18:15	ga_ls8c_ard_3-2-1_109084_2022-08-23_final
2022-08-24 10:22:14	ga_ls8c_ard_3-2-1_100083_2022-08-24_final
2022-08-24 10:22:38	ga_ls8c_ard_3-2-1_100084_2022-08-24_final
2022-08-25 09:26:37	ga_ls8c_ard_3-2-1_091083_2022-08-24_final
2022-08-25 09:27:01	ga_ls8c_ard_3-2-1_091084_2022-08-24_final
2022-09-08 09:39:01	ga_ls8c_ard_3-2-1_093083_2022-09-08_final
2022-09-08 09:39:25	ga_ls8c_ard_3-2-1_093084_2022-09-08_final
2022-09-08 11:17:54	ga_ls8c_ard_3-2-1_109083_2022-09-08_final
2022-09-08 11:18:18	ga_ls8c_ard_3-2-1_109084_2022-09-08_final
2022-10-26 09:39:27	ga_ls8c_ard_3-2-1_093084_2022-10-26_final
2022-10-26 11:17:56	ga_ls8c_ard_3-2-1_109083_2022-10-26_final
2022-10-26 11:18:20	ga_ls8c_ard_3-2-1_109084_2022-10-26_final
2022-10-27 10:22:19	ga_ls8c_ard_3-2-1_100083_2022-10-27_final
2022-10-27 10:22:43	ga_ls8c_ard_3-2-1_100084_2022-10-27_final
2022-10-28 09:26:42	ga_ls8c_ard_3-2-1_091083_2022-10-27_final
2022-10-28 09:27:06	ga_ls8c_ard_3-2-1_091084_2022-10-27_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_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