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
2013-12-22 11:06:49	ga_ls8c_ard_3-0-0_107084_2013-12-22_final
2013-12-23 10:11:11	ga_ls8c_ard_3-0-0_098084_2013-12-23_final
2013-12-23 10:11:35	ga_ls8c_ard_3-0-0_098085_2013-12-23_final
2013-12-27 09:46:27	ga_ls8c_ard_3-0-0_094084_2013-12-27_final
2013-12-27 09:46:51	ga_ls8c_ard_3-0-0_094085_2013-12-27_final
2013-12-27 11:25:20	ga_ls8c_ard_3-0-0_110084_2013-12-27_final
2013-12-29 09:34:04	ga_ls8c_ard_3-0-0_092084_2013-12-29_final
2013-12-29 09:34:28	ga_ls8c_ard_3-0-0_092085_2013-12-29_final
2013-12-29 11:12:57	ga_ls8c_ard_3-0-0_108084_2013-12-29_final
2013-12-30 10:17:20	ga_ls8c_ard_3-0-0_099084_2013-12-30_final
2013-12-31 09:21:42	ga_ls8c_ard_3-0-0_090084_2013-12-30_final
2013-12-31 09:22:06	ga_ls8c_ard_3-0-0_090085_2013-12-30_final
2014-01-01 11:43:50	ga_ls8c_ard_3-0-0_113084_2014-01-01_final
2014-05-30 10:21:40	ga_ls8c_ard_3-0-0_100084_2014-05-30_final
2014-05-31 09:26:04	ga_ls8c_ard_3-0-0_091084_2014-05-30_final
2014-05-31 09:26:28	ga_ls8c_ard_3-0-0_091085_2014-05-30_final
2014-05-31 11:04:57	ga_ls8c_ard_3-0-0_107084_2014-05-31_final
2017-09-26 09:39:02	ga_ls8c_ard_3-0-0_093084_2017-09-26_final
2017-09-26 09:39:26	ga_ls8c_ard_3-0-0_093085_2017-09-26_final
2017-09-26 11:17:55	ga_ls8c_ard_3-0-0_109084_2017-09-26_final
2017-09-26 11:18:19	ga_ls8c_ard_3-0-0_109085_2017-09-26_final
2017-09-27 10:22:18	ga_ls8c_ard_3-0-0_100084_2017-09-27_final
2017-09-27 10:22:42	ga_ls8c_ard_3-0-0_100085_2017-09-27_final
2017-09-28 09:26:41	ga_ls8c_ard_3-0-0_091084_2017-09-27_final
2017-09-28 09:27:05	ga_ls8c_ard_3-0-0_091085_2017-09-27_final
2017-09-28 11:05:34	ga_ls8c_ard_3-0-0_107084_2017-09-28_final
2017-09-28 11:05:58	ga_ls8c_ard_3-0-0_107085_2017-09-28_final
2017-10-28 09:39:08	ga_ls8c_ard_3-0-0_093084_2017-10-28_final
2017-10-28 09:39:32	ga_ls8c_ard_3-0-0_093085_2017-10-28_final
2017-10-28 11:18:01	ga_ls8c_ard_3-0-0_109084_2017-10-28_final
2017-10-28 11:18:25	ga_ls8c_ard_3-0-0_109085_2017-10-28_final
2017-10-29 10:22:24	ga_ls8c_ard_3-0-0_100084_2017-10-29_final
2017-10-29 10:22:48	ga_ls8c_ard_3-0-0_100085_2017-10-29_final
2017-10-30 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-29_final
2017-10-30 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-29_final
2017-10-30 11:05:39	ga_ls8c_ard_3-0-0_107084_2017-10-30_final
2017-10-30 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-30_final
2017-11-23 10:16:07	ga_ls8c_ard_3-0-0_099084_2017-11-23_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_final
2017-11-24 09:20:29	ga_ls8c_ard_3-0-0_090084_2017-11-23_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-24 10:59:22	ga_ls8c_ard_3-0-0_106084_2017-11-24_final
2017-11-25 10:03:44	ga_ls8c_ard_3-0-0_097084_2017-11-25_final
2017-11-25 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-11-25_final
2017-11-25 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-11-25_final
2017-12-31 09:38:59	ga_ls8c_ard_3-0-0_093084_2017-12-31_final
2017-12-31 09:39:23	ga_ls8c_ard_3-0-0_093085_2017-12-31_final
2018-01-01 10:22:15	ga_ls8c_ard_3-0-0_100084_2018-01-01_final
2018-01-01 10:22:39	ga_ls8c_ard_3-0-0_100085_2018-01-01_final
2018-01-02 09:26:37	ga_ls8c_ard_3-0-0_091084_2018-01-01_final
2018-01-02 09:27:01	ga_ls8c_ard_3-0-0_091085_2018-01-01_final
2018-01-02 11:05:30	ga_ls8c_ard_3-0-0_107084_2018-01-02_final
2018-01-02 11:05:54	ga_ls8c_ard_3-0-0_107085_2018-01-02_final
2019-09-03 10:09:56	ga_ls8c_ard_3-1-0_098084_2019-09-03_final
2019-09-03 10:10:20	ga_ls8c_ard_3-1-0_098085_2019-09-03_final
2019-09-04 09:14:19	ga_ls8c_ard_3-1-0_089084_2019-09-03_final
2019-09-04 09:14:43	ga_ls8c_ard_3-1-0_089085_2019-09-03_final
2019-09-05 09:57:35	ga_ls8c_ard_3-1-0_096084_2019-09-05_final
2019-09-05 09:57:59	ga_ls8c_ard_3-1-0_096085_2019-09-05_final
2019-09-05 11:36:28	ga_ls8c_ard_3-1-0_112084_2019-09-05_final
2019-09-05 11:36:52	ga_ls8c_ard_3-1-0_112085_2019-09-05_final
2019-09-11 09:20:32	ga_ls8c_ard_3-1-0_090084_2019-09-10_final
2019-09-11 09:20:56	ga_ls8c_ard_3-1-0_090085_2019-09-10_final
2019-09-11 10:59:25	ga_ls8c_ard_3-1-0_106084_2019-09-11_final
2019-09-19 10:10:02	ga_ls8c_ard_3-1-0_098084_2019-09-19_final
2019-09-19 10:10:26	ga_ls8c_ard_3-1-0_098085_2019-09-19_final
2019-09-20 09:14:25	ga_ls8c_ard_3-1-0_089084_2019-09-19_final
2019-09-20 09:14:49	ga_ls8c_ard_3-1-0_089085_2019-09-19_final
2019-09-21 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-09-21_final
2019-09-21 09:58:05	ga_ls8c_ard_3-1-0_096085_2019-09-21_final
2019-09-21 11:36:34	ga_ls8c_ard_3-1-0_112084_2019-09-21_final
2019-09-21 11:36:58	ga_ls8c_ard_3-1-0_112085_2019-09-21_final
2019-09-26 10:16:15	ga_ls8c_ard_3-1-0_099084_2019-09-26_final
2019-09-26 10:16:39	ga_ls8c_ard_3-1-0_099085_2019-09-26_final
2019-09-27 09:20:38	ga_ls8c_ard_3-1-0_090084_2019-09-26_final
2019-09-27 09:21:02	ga_ls8c_ard_3-1-0_090085_2019-09-26_final
2019-09-27 10:59:31	ga_ls8c_ard_3-1-0_106084_2019-09-27_final
2019-09-28 10:03:54	ga_ls8c_ard_3-1-0_097084_2019-09-28_final
2019-09-28 10:04:18	ga_ls8c_ard_3-1-0_097085_2019-09-28_final
2019-09-28 11:42:47	ga_ls8c_ard_3-1-0_113084_2019-09-28_final
2019-10-09 09:45:23	ga_ls8c_ard_3-1-0_094084_2019-10-09_final
2019-10-09 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-10-09_final
2019-10-09 11:24:16	ga_ls8c_ard_3-1-0_110084_2019-10-09_final
2019-10-09 11:24:40	ga_ls8c_ard_3-1-0_110085_2019-10-09_final
2019-10-10 10:28:39	ga_ls8c_ard_3-1-0_101084_2019-10-10_final
2019-10-11 09:33:02	ga_ls8c_ard_3-1-0_092084_2019-10-11_final
2019-10-11 09:33:26	ga_ls8c_ard_3-1-0_092085_2019-10-11_final
2019-10-11 11:11:55	ga_ls8c_ard_3-1-0_108084_2019-10-11_final
2019-10-11 11:12:19	ga_ls8c_ard_3-1-0_108085_2019-10-11_final
2019-11-05 09:26:51	ga_ls8c_ard_3-1-0_091084_2019-11-04_final
2019-11-05 09:27:15	ga_ls8c_ard_3-1-0_091085_2019-11-04_final
2019-11-05 11:05:44	ga_ls8c_ard_3-1-0_107084_2019-11-05_final
2019-11-05 11:06:08	ga_ls8c_ard_3-1-0_107085_2019-11-05_final
2019-11-13 10:16:16	ga_ls8c_ard_3-1-0_099084_2019-11-13_final
2019-11-13 10:16:40	ga_ls8c_ard_3-1-0_099085_2019-11-13_final
2019-11-14 09:20:39	ga_ls8c_ard_3-1-0_090084_2019-11-13_final
2019-11-14 09:21:03	ga_ls8c_ard_3-1-0_090085_2019-11-13_final
2019-11-14 10:59:32	ga_ls8c_ard_3-1-0_106084_2019-11-14_final
2019-11-15 10:03:54	ga_ls8c_ard_3-1-0_097084_2019-11-15_final
2019-11-15 10:04:18	ga_ls8c_ard_3-1-0_097085_2019-11-15_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