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
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-08-12 09:20:44	ga_ls8c_ard_3-0-0_090085_2014-08-11_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-03 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-01-02_final
2015-01-03 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-01-02_final
2015-01-08 09:39:41	ga_ls8c_ard_3-0-0_093086_2015-01-08_final
2015-01-10 09:26:55	ga_ls8c_ard_3-0-0_091085_2015-01-09_final
2015-01-10 09:27:19	ga_ls8c_ard_3-0-0_091086_2015-01-09_final
2015-02-04 09:21:01	ga_ls8c_ard_3-0-0_090086_2015-02-03_final
2015-02-05 10:03:53	ga_ls8c_ard_3-0-0_097085_2015-02-05_final
2015-02-25 09:39:26	ga_ls8c_ard_3-0-0_093086_2015-02-25_final
2015-02-27 09:27:03	ga_ls8c_ard_3-0-0_091086_2015-02-26_final
2015-04-14 09:39:01	ga_ls8c_ard_3-0-0_093086_2015-04-14_final
2015-04-16 09:26:39	ga_ls8c_ard_3-0-0_091086_2015-04-15_final
2015-06-01 09:38:21	ga_ls8c_ard_3-0-0_093085_2015-06-01_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_final
2015-06-02 10:21:37	ga_ls8c_ard_3-0-0_100085_2015-06-02_final
2015-06-03 09:26:01	ga_ls8c_ard_3-0-0_091085_2015-06-02_final
2015-06-03 09:26:25	ga_ls8c_ard_3-0-0_091086_2015-06-02_final
2015-06-03 11:04:54	ga_ls8c_ard_3-0-0_107085_2015-06-03_final
2015-06-17 09:38:32	ga_ls8c_ard_3-0-0_093085_2015-06-17_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 11:17:25	ga_ls8c_ard_3-0-0_109085_2015-06-17_final
2015-06-18 10:21:48	ga_ls8c_ard_3-0-0_100085_2015-06-18_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-06-19 11:05:04	ga_ls8c_ard_3-0-0_107085_2015-06-19_final
2015-06-20 10:09:27	ga_ls8c_ard_3-0-0_098085_2015-06-20_final
2015-06-20 10:09:51	ga_ls8c_ard_3-0-0_098086_2015-06-20_final
2015-06-21 09:13:49	ga_ls8c_ard_3-0-0_089085_2015-06-20_final
2015-06-21 09:14:13	ga_ls8c_ard_3-0-0_089086_2015-06-20_final
2015-06-22 09:57:05	ga_ls8c_ard_3-0-0_096085_2015-06-22_final
2015-06-22 09:57:29	ga_ls8c_ard_3-0-0_096086_2015-06-22_final
2015-06-22 11:35:58	ga_ls8c_ard_3-0-0_112085_2015-06-22_final
2015-07-26 09:45:01	ga_ls8c_ard_3-0-0_094085_2015-07-26_final
2015-07-26 09:45:25	ga_ls8c_ard_3-0-0_094086_2015-07-26_final
2015-07-26 11:23:54	ga_ls8c_ard_3-0-0_110085_2015-07-26_final
2015-07-28 09:33:04	ga_ls8c_ard_3-0-0_092086_2015-07-28_final
2015-07-28 11:11:33	ga_ls8c_ard_3-0-0_108085_2015-07-28_final
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-08-31 09:20:30	ga_ls8c_ard_3-0-0_090085_2015-08-30_final
2015-08-31 09:20:54	ga_ls8c_ard_3-0-0_090086_2015-08-30_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-09-03 09:51:48	ga_ls8c_ard_3-0-0_095086_2015-09-03_final
2015-09-03 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-09-03_final
2015-11-04 10:04:04	ga_ls8c_ard_3-0-0_097085_2015-11-04_final
2015-11-04 10:04:28	ga_ls8c_ard_3-0-0_097086_2015-11-04_final
2015-11-06 09:51:42	ga_ls8c_ard_3-0-0_095085_2015-11-06_final
2015-11-06 09:52:06	ga_ls8c_ard_3-0-0_095086_2015-11-06_final
2015-11-06 11:30:35	ga_ls8c_ard_3-0-0_111085_2015-11-06_final
2016-02-08 10:04:21	ga_ls8c_ard_3-0-0_097086_2016-02-08_final
2016-02-10 09:51:59	ga_ls8c_ard_3-0-0_095086_2016-02-10_final
2016-02-12 09:39:12	ga_ls8c_ard_3-0-0_093085_2016-02-12_final
2016-02-12 09:39:36	ga_ls8c_ard_3-0-0_093086_2016-02-12_final
2016-04-14 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-14_final
2016-04-27 09:20:38	ga_ls8c_ard_3-0-0_090086_2016-04-26_final
2016-04-28 10:03:54	ga_ls8c_ard_3-0-0_097086_2016-04-28_final
2017-03-18 09:39:19	ga_ls8c_ard_3-0-0_093086_2017-03-18_final
2017-03-20 09:26:56	ga_ls8c_ard_3-0-0_091086_2017-03-19_final
2017-04-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2017-04-10_final
2017-05-03 09:50:52	ga_ls8c_ard_3-0-0_095085_2017-05-03_final
2017-05-03 09:51:16	ga_ls8c_ard_3-0-0_095086_2017-05-03_final
2017-05-03 11:29:45	ga_ls8c_ard_3-0-0_111085_2017-05-03_final
2017-05-28 09:44:59	ga_ls8c_ard_3-0-0_094085_2017-05-28_final
2017-05-28 09:45:23	ga_ls8c_ard_3-0-0_094086_2017-05-28_final
2017-05-28 11:23:52	ga_ls8c_ard_3-0-0_110085_2017-05-28_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_final
2017-07-08 09:39:26	ga_ls8c_ard_3-0-0_093086_2017-07-08_final
2017-07-15 09:45:38	ga_ls8c_ard_3-0-0_094086_2017-07-15_final
2017-08-19 10:16:23	ga_ls8c_ard_3-0-0_099085_2017-08-19_final
2017-08-20 09:20:46	ga_ls8c_ard_3-0-0_090085_2017-08-19_final
2017-08-20 09:21:10	ga_ls8c_ard_3-0-0_090086_2017-08-19_final
2017-08-21 10:04:02	ga_ls8c_ard_3-0-0_097085_2017-08-21_final
2017-08-21 10:04:25	ga_ls8c_ard_3-0-0_097086_2017-08-21_final
2017-08-23 09:52:04	ga_ls8c_ard_3-0-0_095086_2017-08-23_final
2017-08-23 11:30:33	ga_ls8c_ard_3-0-0_111085_2017-08-23_final
2018-02-17 09:39:26	ga_ls8c_ard_3-0-0_093086_2018-02-17_final
2018-04-06 09:39:02	ga_ls8c_ard_3-0-0_093086_2018-04-06_final
2018-04-08 09:26:39	ga_ls8c_ard_3-0-0_091086_2018-04-07_final
2018-04-17 09:20:23	ga_ls8c_ard_3-0-0_090086_2018-04-16_final
2018-04-18 10:03:38	ga_ls8c_ard_3-0-0_097086_2018-04-18_final
2018-05-24 09:38:32	ga_ls8c_ard_3-0-0_093086_2018-05-24_final
2018-05-26 09:26:08	ga_ls8c_ard_3-0-0_091086_2018-05-25_final
2018-06-03 10:15:06	ga_ls8c_ard_3-0-0_099085_2018-06-03_final
2018-06-04 09:19:28	ga_ls8c_ard_3-0-0_090085_2018-06-03_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-05 10:02:44	ga_ls8c_ard_3-0-0_097085_2018-06-05_final
2018-06-05 10:03:08	ga_ls8c_ard_3-0-0_097086_2018-06-05_final
2018-07-14 10:09:18	ga_ls8c_ard_3-0-0_098085_2018-07-14_final
2018-07-14 10:09:41	ga_ls8c_ard_3-0-0_098086_2018-07-14_final
2018-07-15 09:13:41	ga_ls8c_ard_3-0-0_089085_2018-07-14_final
2018-07-15 09:14:05	ga_ls8c_ard_3-0-0_089086_2018-07-14_final
2018-07-16 09:57:21	ga_ls8c_ard_3-0-0_096086_2018-07-16_final
2018-07-16 11:35:50	ga_ls8c_ard_3-0-0_112085_2018-07-16_final
2018-07-20 09:32:39	ga_ls8c_ard_3-0-0_092086_2018-07-20_final
2018-07-20 11:11:08	ga_ls8c_ard_3-0-0_108085_2018-07-20_final
2018-07-21 10:15:31	ga_ls8c_ard_3-0-0_099085_2018-07-21_final
2018-07-22 09:19:54	ga_ls8c_ard_3-0-0_090085_2018-07-21_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