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
2014-12-05 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-12-05_final
2014-12-21 09:52:07	ga_ls8c_ard_3-0-0_095086_2014-12-21_final
2015-01-22 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-01-22_final
2015-01-22 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-01-22_final
2015-01-24 09:39:34	ga_ls8c_ard_3-0-0_093086_2015-01-24_final
2015-03-11 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-03-11_final
2015-12-31 09:58:17	ga_ls8c_ard_3-0-0_096086_2015-12-31_final
2016-01-02 09:45:31	ga_ls8c_ard_3-0-0_094085_2016-01-02_final
2016-01-02 09:45:55	ga_ls8c_ard_3-0-0_094086_2016-01-02_final
2016-01-04 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-04_final
2016-01-04 11:12:01	ga_ls8c_ard_3-0-0_108085_2016-01-04_final
2016-01-06 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-01-05_final
2016-01-07 10:04:25	ga_ls8c_ard_3-0-0_097086_2016-01-07_final
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-01-20 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-20_final
2016-01-20 11:12:01	ga_ls8c_ard_3-0-0_108085_2016-01-20_final
2016-01-22 09:20:47	ga_ls8c_ard_3-0-0_090085_2016-01-21_final
2016-01-22 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-01-21_final
2016-02-17 09:58:05	ga_ls8c_ard_3-0-0_096086_2016-02-17_final
2016-02-19 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-02-19_final
2016-02-21 09:33:20	ga_ls8c_ard_3-0-0_092086_2016-02-21_final
2016-02-23 09:20:35	ga_ls8c_ard_3-0-0_090085_2016-02-22_final
2016-02-23 09:20:59	ga_ls8c_ard_3-0-0_090086_2016-02-22_final
2016-03-06 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-03-06_final
2016-03-08 09:33:19	ga_ls8c_ard_3-0-0_092086_2016-03-08_final
2016-03-08 11:11:49	ga_ls8c_ard_3-0-0_108085_2016-03-08_final
2016-03-11 10:03:49	ga_ls8c_ard_3-0-0_097085_2016-03-11_final
2016-03-11 10:04:13	ga_ls8c_ard_3-0-0_097086_2016-03-11_final
2016-04-25 09:32:57	ga_ls8c_ard_3-0-0_092086_2016-04-25_final
2016-04-27 09:20:38	ga_ls8c_ard_3-0-0_090086_2016-04-26_final
2016-05-05 10:09:45	ga_ls8c_ard_3-0-0_098085_2016-05-05_final
2016-05-05 10:10:09	ga_ls8c_ard_3-0-0_098086_2016-05-05_final
2016-05-06 09:14:07	ga_ls8c_ard_3-0-0_089085_2016-05-05_final
2016-05-06 09:14:31	ga_ls8c_ard_3-0-0_089086_2016-05-05_final
2016-06-26 09:45:37	ga_ls8c_ard_3-0-0_094086_2016-06-26_final
2016-06-26 11:24:06	ga_ls8c_ard_3-0-0_110085_2016-06-26_final
2016-06-28 09:33:16	ga_ls8c_ard_3-0-0_092086_2016-06-28_final
2016-07-12 09:45:45	ga_ls8c_ard_3-0-0_094086_2016-07-12_final
2016-07-12 11:24:14	ga_ls8c_ard_3-0-0_110085_2016-07-12_final
2016-07-14 09:33:24	ga_ls8c_ard_3-0-0_092086_2016-07-14_final
2016-07-14 11:11:53	ga_ls8c_ard_3-0-0_108085_2016-07-14_final
2017-09-17 09:45:56	ga_ls8c_ard_3-0-0_094086_2017-09-17_final
2017-09-17 11:24:25	ga_ls8c_ard_3-0-0_110085_2017-09-17_final
2017-09-19 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-09-19_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2018-06-14 09:56:39	ga_ls8c_ard_3-0-0_096085_2018-06-14_final
2018-06-14 09:57:03	ga_ls8c_ard_3-0-0_096086_2018-06-14_final
2018-06-14 11:35:32	ga_ls8c_ard_3-0-0_112085_2018-06-14_final
2018-06-16 09:44:43	ga_ls8c_ard_3-0-0_094086_2018-06-16_final
2018-06-16 11:23:12	ga_ls8c_ard_3-0-0_110085_2018-06-16_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-02 11:23:22	ga_ls8c_ard_3-0-0_110085_2018-07-02_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_final
2018-08-01 09:57:04	ga_ls8c_ard_3-0-0_096085_2018-08-01_final
2018-08-01 09:57:28	ga_ls8c_ard_3-0-0_096086_2018-08-01_final
2018-08-01 11:35:57	ga_ls8c_ard_3-0-0_112085_2018-08-01_final
2018-08-03 09:45:08	ga_ls8c_ard_3-0-0_094086_2018-08-03_final
2018-08-17 09:57:13	ga_ls8c_ard_3-0-0_096085_2018-08-17_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-08-17 11:36:06	ga_ls8c_ard_3-0-0_112085_2018-08-17_final
2018-08-19 09:45:16	ga_ls8c_ard_3-0-0_094086_2018-08-19_final
2018-08-19 11:23:45	ga_ls8c_ard_3-0-0_110085_2018-08-19_final
2018-09-02 09:57:44	ga_ls8c_ard_3-0-0_096086_2018-09-02_final
2018-09-02 11:36:13	ga_ls8c_ard_3-0-0_112085_2018-09-02_final
2018-09-04 09:44:59	ga_ls8c_ard_3-0-0_094085_2018-09-04_final
2018-09-04 09:45:23	ga_ls8c_ard_3-0-0_094086_2018-09-04_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-22 11:11:35	ga_ls8c_ard_3-0-0_108085_2018-09-22_final
2018-09-23 10:15:59	ga_ls8c_ard_3-0-0_099085_2018-09-23_final
2018-09-24 09:20:22	ga_ls8c_ard_3-0-0_090085_2018-09-23_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-25 10:03:38	ga_ls8c_ard_3-0-0_097085_2018-09-25_final
2018-09-25 10:04:02	ga_ls8c_ard_3-0-0_097086_2018-09-25_final
2018-09-27 09:51:42	ga_ls8c_ard_3-0-0_095086_2018-09-27_final
2018-09-29 09:38:57	ga_ls8c_ard_3-0-0_093085_2018-09-29_final
2018-09-29 09:39:21	ga_ls8c_ard_3-0-0_093086_2018-09-29_final
2018-10-29 09:51:54	ga_ls8c_ard_3-0-0_095086_2018-10-29_final
2018-10-31 09:39:32	ga_ls8c_ard_3-0-0_093086_2018-10-31_final
2018-12-27 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-27_final
2018-12-29 09:20:34	ga_ls8c_ard_3-0-0_090085_2018-12-28_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2019-01-03 11:17:59	ga_ls8c_ard_3-0-0_109085_2019-01-03_final
2019-07-05 09:45:20	ga_ls8c_ard_3-1-0_094085_2019-07-05_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-05 11:24:13	ga_ls8c_ard_3-1-0_110085_2019-07-05_final
2019-07-07 09:33:22	ga_ls8c_ard_3-1-0_092086_2019-07-07_final
2019-08-17 09:27:25	ga_ls8c_ard_3-1-0_091086_2019-08-16_final
2019-08-18 10:10:17	ga_ls8c_ard_3-1-0_098085_2019-08-18_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-22 09:45:35	ga_ls8c_ard_3-1-0_094085_2019-08-22_final
2019-08-22 09:45:59	ga_ls8c_ard_3-1-0_094086_2019-08-22_final
2019-08-22 11:24:28	ga_ls8c_ard_3-1-0_110085_2019-08-22_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2020-03-06 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-03-06_final
2020-06-12 09:51:36	ga_ls8c_ard_3-1-0_095086_2020-06-12_final
2020-06-12 11:30:05	ga_ls8c_ard_3-1-0_111085_2020-06-12_final
2020-06-14 09:39:16	ga_ls8c_ard_3-1-0_093086_2020-06-14_final
2020-06-14 11:17:45	ga_ls8c_ard_3-1-0_109085_2020-06-14_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years