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
2013-09-04 10:00:13	ga_ls8c_ard_3-0-0_096086_2013-09-04_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-09-19 09:16:51	ga_ls8c_ard_3-0-0_089086_2013-09-18_final
2013-09-26 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-09-25_final
2013-09-29 09:53:52	ga_ls8c_ard_3-0-0_095086_2013-09-29_final
2013-10-12 09:22:34	ga_ls8c_ard_3-0-0_090085_2013-10-11_final
2013-10-12 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-10-11_final
2013-10-15 09:53:51	ga_ls8c_ard_3-0-0_095086_2013-10-15_final
2013-10-17 09:41:29	ga_ls8c_ard_3-0-0_093086_2013-10-17_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2013-12-18 09:53:29	ga_ls8c_ard_3-0-0_095086_2013-12-18_final
2013-12-20 09:41:05	ga_ls8c_ard_3-0-0_093086_2013-12-20_final
2013-12-22 09:28:44	ga_ls8c_ard_3-0-0_091086_2013-12-21_final
2013-12-24 09:16:22	ga_ls8c_ard_3-0-0_089086_2013-12-23_final
2013-12-27 09:47:15	ga_ls8c_ard_3-0-0_094086_2013-12-27_final
2013-12-29 09:34:52	ga_ls8c_ard_3-0-0_092086_2013-12-29_final
2014-01-16 09:22:14	ga_ls8c_ard_3-0-0_090086_2014-01-15_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-30 09:34:32	ga_ls8c_ard_3-0-0_092086_2014-01-30_final
2014-02-04 09:53:01	ga_ls8c_ard_3-0-0_095086_2014-02-04_final
2014-02-06 09:40:37	ga_ls8c_ard_3-0-0_093086_2014-02-06_final
2015-09-08 10:10:00	ga_ls8c_ard_3-0-0_098085_2015-09-08_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-09 09:14:23	ga_ls8c_ard_3-0-0_089085_2015-09-08_final
2015-09-09 09:14:47	ga_ls8c_ard_3-0-0_089086_2015-09-08_final
2015-11-11 10:10:38	ga_ls8c_ard_3-0-0_098086_2015-11-11_final
2015-11-12 09:15:01	ga_ls8c_ard_3-0-0_089086_2015-11-11_final
2015-12-17 09:45:57	ga_ls8c_ard_3-0-0_094086_2015-12-17_final
2015-12-19 09:33:35	ga_ls8c_ard_3-0-0_092086_2015-12-19_final
2018-10-04 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-10-04_final
2018-10-04 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-10-04_final
2018-10-06 09:45:11	ga_ls8c_ard_3-0-0_094085_2018-10-06_final
2018-10-06 09:45:35	ga_ls8c_ard_3-0-0_094086_2018-10-06_final
2018-10-20 09:58:02	ga_ls8c_ard_3-0-0_096086_2018-10-20_final
2018-10-20 11:36:31	ga_ls8c_ard_3-0-0_112085_2018-10-20_final
2018-10-22 09:45:17	ga_ls8c_ard_3-0-0_094085_2018-10-22_final
2018-10-22 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-10-22_final
2018-11-05 09:58:06	ga_ls8c_ard_3-0-0_096086_2018-11-05_final
2018-11-07 09:45:20	ga_ls8c_ard_3-0-0_094085_2018-11-07_final
2018-11-07 09:45:44	ga_ls8c_ard_3-0-0_094086_2018-11-07_final
2018-12-23 09:57:39	ga_ls8c_ard_3-0-0_096085_2018-12-23_final
2018-12-23 09:58:03	ga_ls8c_ard_3-0-0_096086_2018-12-23_final
2018-12-25 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-12-25_final
2019-06-30 09:27:10	ga_ls8c_ard_3-1-0_091086_2019-06-29_final
2019-06-30 11:05:39	ga_ls8c_ard_3-1-0_107085_2019-06-30_final
2019-07-01 10:10:02	ga_ls8c_ard_3-1-0_098085_2019-07-01_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-02 09:14:25	ga_ls8c_ard_3-1-0_089085_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-03 09:58:05	ga_ls8c_ard_3-1-0_096086_2019-07-03_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
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-24 10:16:18	ga_ls8c_ard_3-1-0_099085_2019-07-24_final
2019-07-25 09:20:41	ga_ls8c_ard_3-1-0_090085_2019-07-24_final
2019-07-25 09:21:05	ga_ls8c_ard_3-1-0_090086_2019-07-24_final
2019-07-26 10:03:58	ga_ls8c_ard_3-1-0_097085_2019-07-26_final
2019-07-26 10:04:22	ga_ls8c_ard_3-1-0_097086_2019-07-26_final
2019-08-06 09:45:54	ga_ls8c_ard_3-1-0_094086_2019-08-06_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 11:12:02	ga_ls8c_ard_3-1-0_108085_2019-08-08_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-08-20 11:36:49	ga_ls8c_ard_3-1-0_112085_2019-08-20_final
2019-09-03 10:10:44	ga_ls8c_ard_3-1-0_098086_2019-09-03_final
2019-09-04 09:15:07	ga_ls8c_ard_3-1-0_089086_2019-09-03_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-17 10:04:39	ga_ls8c_ard_3-1-0_097086_2020-11-17_final
2020-11-24 10:10:52	ga_ls8c_ard_3-1-0_098086_2020-11-24_final
2020-11-25 09:15:14	ga_ls8c_ard_3-1-0_089086_2020-11-24_final
2020-12-16 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-12-16_final
2020-12-18 09:21:26	ga_ls8c_ard_3-2-0_090086_2020-12-17_final
2020-12-19 10:04:41	ga_ls8c_ard_3-2-0_097086_2020-12-19_final
2020-12-23 09:39:57	ga_ls8c_ard_3-2-0_093086_2020-12-23_final
2020-12-25 09:27:35	ga_ls8c_ard_3-2-0_091086_2020-12-24_final
2020-12-26 10:10:51	ga_ls8c_ard_3-2-0_098086_2020-12-26_final
2020-12-27 09:15:13	ga_ls8c_ard_3-2-0_089086_2020-12-26_final
2020-12-28 09:58:28	ga_ls8c_ard_3-2-0_096086_2020-12-28_final
2020-12-30 09:46:06	ga_ls8c_ard_3-2-0_094086_2020-12-30_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-03 09:20:57	ga_ls8c_ard_3-2-0_090085_2021-01-02_final
2021-01-03 09:21:21	ga_ls8c_ard_3-2-0_090086_2021-01-02_final
2021-01-04 10:04:37	ga_ls8c_ard_3-2-0_097086_2021-01-04_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-01-08 09:39:52	ga_ls8c_ard_3-2-0_093086_2021-01-08_final
2021-01-10 09:27:29	ga_ls8c_ard_3-2-0_091086_2021-01-09_final
2021-01-10 11:05:58	ga_ls8c_ard_3-2-0_107085_2021-01-10_final
2021-01-11 10:10:44	ga_ls8c_ard_3-2-0_098086_2021-01-11_final
2021-01-12 09:15:07	ga_ls8c_ard_3-2-0_089086_2021-01-11_final
2021-01-13 09:58:22	ga_ls8c_ard_3-2-0_096086_2021-01-13_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-17 09:33:36	ga_ls8c_ard_3-2-0_092086_2021-01-17_final
2021-01-19 09:21:14	ga_ls8c_ard_3-2-0_090086_2021-01-18_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