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
2013-06-09 09:53:13	ga_ls8c_ard_3-0-0_095084_2013-06-09_final
2013-06-11 09:40:50	ga_ls8c_ard_3-0-0_093084_2013-06-11_final
2013-06-13 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-06-12_final
2013-08-21 09:46:39	ga_ls8c_ard_3-0-0_094083_2013-08-21_final
2013-08-21 09:47:03	ga_ls8c_ard_3-0-0_094084_2013-08-21_final
2013-08-21 11:25:32	ga_ls8c_ard_3-0-0_110083_2013-08-21_final
2013-08-21 11:25:56	ga_ls8c_ard_3-0-0_110084_2013-08-21_final
2013-08-22 10:29:55	ga_ls8c_ard_3-0-0_101083_2013-08-22_final
2013-08-23 09:34:18	ga_ls8c_ard_3-0-0_092083_2013-08-23_final
2013-08-23 09:34:42	ga_ls8c_ard_3-0-0_092084_2013-08-23_final
2013-08-23 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-08-23_final
2013-08-23 11:13:35	ga_ls8c_ard_3-0-0_108084_2013-08-23_final
2013-08-24 10:17:57	ga_ls8c_ard_3-0-0_099084_2013-08-24_final
2013-09-27 10:05:25	ga_ls8c_ard_3-0-0_097084_2013-09-27_final
2013-09-27 11:44:18	ga_ls8c_ard_3-0-0_113084_2013-09-27_final
2013-09-29 09:53:04	ga_ls8c_ard_3-0-0_095084_2013-09-29_final
2013-09-29 11:31:57	ga_ls8c_ard_3-0-0_111084_2013-09-29_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-10-01 11:19:36	ga_ls8c_ard_3-0-0_109084_2013-10-01_final
2013-10-02 10:23:58	ga_ls8c_ard_3-0-0_100084_2013-10-02_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-10-03 11:07:14	ga_ls8c_ard_3-0-0_107084_2013-10-03_final
2013-11-12 10:17:38	ga_ls8c_ard_3-0-0_099084_2013-11-12_final
2013-11-13 09:22:01	ga_ls8c_ard_3-0-0_090084_2013-11-12_final
2013-11-14 10:05:16	ga_ls8c_ard_3-0-0_097084_2013-11-14_final
2013-11-14 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-11-14_final
2015-02-09 09:38:43	ga_ls8c_ard_3-0-0_093084_2015-02-09_final
2015-02-09 11:17:36	ga_ls8c_ard_3-0-0_109084_2015-02-09_final
2015-02-10 10:21:58	ga_ls8c_ard_3-0-0_100084_2015-02-10_final
2015-03-05 10:28:00	ga_ls8c_ard_3-0-0_101084_2015-03-05_final
2015-03-06 09:32:22	ga_ls8c_ard_3-0-0_092084_2015-03-06_final
2015-03-06 11:11:15	ga_ls8c_ard_3-0-0_108084_2015-03-06_final
2015-03-07 10:15:37	ga_ls8c_ard_3-0-0_099084_2015-03-07_final
2015-03-08 09:19:59	ga_ls8c_ard_3-0-0_090084_2015-03-07_final
2015-04-19 09:56:45	ga_ls8c_ard_3-0-0_096084_2015-04-19_final
2015-04-19 11:35:38	ga_ls8c_ard_3-0-0_112084_2015-04-19_final
2015-05-04 10:51:46	ga_ls8c_ard_3-0-0_105083_2015-05-04_final
2015-05-05 09:56:32	ga_ls8c_ard_3-0-0_096084_2015-05-05_final
2015-05-05 11:35:25	ga_ls8c_ard_3-0-0_112084_2015-05-05_final
2018-03-12 09:44:37	ga_ls8c_ard_3-0-0_094084_2018-03-12_final
2018-03-12 11:23:30	ga_ls8c_ard_3-0-0_110084_2018-03-12_final
2018-03-13 10:27:52	ga_ls8c_ard_3-0-0_101084_2018-03-13_final
2018-03-14 09:32:14	ga_ls8c_ard_3-0-0_092084_2018-03-14_final
2018-03-14 11:11:07	ga_ls8c_ard_3-0-0_108084_2018-03-14_final
2018-05-15 09:44:02	ga_ls8c_ard_3-0-0_094084_2018-05-15_final
2018-05-15 11:22:55	ga_ls8c_ard_3-0-0_110084_2018-05-15_final
2018-05-16 10:27:17	ga_ls8c_ard_3-0-0_101084_2018-05-16_final
2018-05-17 09:31:39	ga_ls8c_ard_3-0-0_092084_2018-05-17_final
2018-05-17 11:10:32	ga_ls8c_ard_3-0-0_108084_2018-05-17_final
2019-07-11 09:07:28	ga_ls8c_ard_3-1-0_088083_2019-07-10_final
2019-07-11 09:07:52	ga_ls8c_ard_3-1-0_088084_2019-07-10_final
2019-07-11 10:46:21	ga_ls8c_ard_3-1-0_104083_2019-07-11_final
2019-07-12 09:50:44	ga_ls8c_ard_3-1-0_095083_2019-07-12_final
2019-07-12 09:51:08	ga_ls8c_ard_3-1-0_095084_2019-07-12_final
2019-07-12 11:29:37	ga_ls8c_ard_3-1-0_111083_2019-07-12_final
2019-07-12 11:30:01	ga_ls8c_ard_3-1-0_111084_2019-07-12_final
2019-09-06 10:40:27	ga_ls8c_ard_3-1-0_103083_2019-09-06_final
2019-09-07 09:45:14	ga_ls8c_ard_3-1-0_094084_2019-09-07_final
2019-09-07 11:23:43	ga_ls8c_ard_3-1-0_110083_2019-09-07_final
2019-09-07 11:24:07	ga_ls8c_ard_3-1-0_110084_2019-09-07_final
2019-09-08 10:28:06	ga_ls8c_ard_3-1-0_101083_2019-09-08_final
2019-09-08 10:28:30	ga_ls8c_ard_3-1-0_101084_2019-09-08_final
2019-09-12 10:03:24	ga_ls8c_ard_3-1-0_097083_2019-09-12_final
2019-09-12 10:03:48	ga_ls8c_ard_3-1-0_097084_2019-09-12_final
2019-09-12 11:42:42	ga_ls8c_ard_3-1-0_113084_2019-09-12_final
2019-09-13 09:07:48	ga_ls8c_ard_3-1-0_088083_2019-09-12_final
2019-09-13 09:08:12	ga_ls8c_ard_3-1-0_088084_2019-09-12_final
2019-09-13 10:46:41	ga_ls8c_ard_3-1-0_104083_2019-09-13_final
2019-09-14 09:51:04	ga_ls8c_ard_3-1-0_095083_2019-09-14_final
2019-09-14 09:51:28	ga_ls8c_ard_3-1-0_095084_2019-09-14_final
2019-09-14 11:29:57	ga_ls8c_ard_3-1-0_111083_2019-09-14_final
2019-09-14 11:30:21	ga_ls8c_ard_3-1-0_111084_2019-09-14_final
2019-09-15 10:34:20	ga_ls8c_ard_3-1-0_102083_2019-09-15_final
2019-09-29 09:07:53	ga_ls8c_ard_3-1-0_088083_2019-09-28_final
2019-09-29 09:08:17	ga_ls8c_ard_3-1-0_088084_2019-09-28_final
2019-09-29 10:46:46	ga_ls8c_ard_3-1-0_104083_2019-09-29_final
2019-09-30 09:51:09	ga_ls8c_ard_3-1-0_095083_2019-09-30_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-09-30 11:30:26	ga_ls8c_ard_3-1-0_111084_2019-09-30_final
2019-10-02 09:38:47	ga_ls8c_ard_3-1-0_093083_2019-10-02_final
2019-10-02 09:39:11	ga_ls8c_ard_3-1-0_093084_2019-10-02_final
2019-10-02 11:18:04	ga_ls8c_ard_3-1-0_109084_2019-10-02_final
2019-10-03 10:22:27	ga_ls8c_ard_3-1-0_100084_2019-10-03_final
2019-10-04 09:26:50	ga_ls8c_ard_3-1-0_091084_2019-10-03_final
2019-10-04 11:05:19	ga_ls8c_ard_3-1-0_107083_2019-10-04_final
2019-10-04 11:05:43	ga_ls8c_ard_3-1-0_107084_2019-10-04_final
2019-11-16 09:07:53	ga_ls8c_ard_3-1-0_088083_2019-11-15_final
2019-11-16 09:08:16	ga_ls8c_ard_3-1-0_088084_2019-11-15_final
2019-11-16 10:46:45	ga_ls8c_ard_3-1-0_104083_2019-11-16_final
2019-11-17 09:51:08	ga_ls8c_ard_3-1-0_095083_2019-11-17_final
2019-11-17 09:51:32	ga_ls8c_ard_3-1-0_095084_2019-11-17_final
2019-11-17 11:30:01	ga_ls8c_ard_3-1-0_111083_2019-11-17_final
2019-11-17 11:30:25	ga_ls8c_ard_3-1-0_111084_2019-11-17_final
2019-11-22 10:09:39	ga_ls8c_ard_3-1-0_098083_2019-11-22_final
2019-11-22 10:10:03	ga_ls8c_ard_3-1-0_098084_2019-11-22_final
2019-11-23 09:14:02	ga_ls8c_ard_3-1-0_089083_2019-11-22_final
2019-11-23 09:14:26	ga_ls8c_ard_3-1-0_089084_2019-11-22_final
2019-11-23 10:52:55	ga_ls8c_ard_3-1-0_105083_2019-11-23_final
2019-11-24 09:57:17	ga_ls8c_ard_3-1-0_096083_2019-11-24_final
2019-11-24 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-11-24_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