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
2014-03-08 09:52:33	ga_ls8c_ard_3-0-0_095086_2014-03-08_final
2014-03-10 09:40:11	ga_ls8c_ard_3-0-0_093086_2014-03-10_final
2014-04-04 09:33:38	ga_ls8c_ard_3-0-0_092086_2014-04-04_final
2014-04-25 09:51:50	ga_ls8c_ard_3-0-0_095086_2014-04-25_final
2014-04-27 09:39:27	ga_ls8c_ard_3-0-0_093086_2014-04-27_final
2014-05-11 09:51:35	ga_ls8c_ard_3-0-0_095086_2014-05-11_final
2014-05-13 09:39:12	ga_ls8c_ard_3-0-0_093086_2014-05-13_final
2014-05-29 09:38:48	ga_ls8c_ard_3-0-0_093085_2014-05-29_final
2014-05-29 09:39:12	ga_ls8c_ard_3-0-0_093086_2014-05-29_final
2014-06-12 09:51:41	ga_ls8c_ard_3-0-0_095086_2014-06-12_final
2014-06-19 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-06-19_final
2014-06-19 09:57:53	ga_ls8c_ard_3-0-0_096086_2014-06-19_final
2014-06-28 09:51:43	ga_ls8c_ard_3-0-0_095086_2014-06-28_final
2014-06-30 09:39:23	ga_ls8c_ard_3-0-0_093086_2014-06-30_final
2014-07-07 09:45:38	ga_ls8c_ard_3-0-0_094086_2014-07-07_final
2014-07-09 09:33:18	ga_ls8c_ard_3-0-0_092086_2014-07-09_final
2014-07-12 10:03:49	ga_ls8c_ard_3-0-0_097085_2014-07-12_final
2014-07-18 09:27:09	ga_ls8c_ard_3-0-0_091086_2014-07-17_final
2014-08-20 10:10:12	ga_ls8c_ard_3-0-0_098085_2014-08-20_final
2014-08-21 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-08-20_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-26 09:33:32	ga_ls8c_ard_3-0-0_092086_2014-08-26_final
2014-09-23 09:58:16	ga_ls8c_ard_3-0-0_096086_2014-09-23_final
2014-09-25 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-09-25_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-29 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-09-28_final
2014-10-06 09:27:28	ga_ls8c_ard_3-0-0_091086_2014-10-05_final
2014-10-08 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-10-07_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-10-11 09:46:01	ga_ls8c_ard_3-0-0_094086_2014-10-11_final
2014-10-18 09:52:14	ga_ls8c_ard_3-0-0_095086_2014-10-18_final
2014-10-27 09:46:00	ga_ls8c_ard_3-0-0_094086_2014-10-27_final
2014-10-29 09:33:37	ga_ls8c_ard_3-0-0_092086_2014-10-29_final
2016-05-23 09:57:47	ga_ls8c_ard_3-0-0_096086_2016-05-23_final
2016-05-23 11:36:16	ga_ls8c_ard_3-0-0_112085_2016-05-23_final
2016-05-25 09:45:02	ga_ls8c_ard_3-0-0_094085_2016-05-25_final
2016-05-25 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-05-25_final
2016-06-17 09:51:18	ga_ls8c_ard_3-0-0_095085_2016-06-17_final
2016-06-17 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-06-17_final
2016-06-17 11:30:11	ga_ls8c_ard_3-0-0_111085_2016-06-17_final
2016-06-19 09:39:21	ga_ls8c_ard_3-0-0_093086_2016-06-19_final
2016-06-20 10:22:14	ga_ls8c_ard_3-0-0_100085_2016-06-20_final
2016-07-21 11:18:06	ga_ls8c_ard_3-0-0_109085_2016-07-21_final
2016-07-28 09:45:25	ga_ls8c_ard_3-0-0_094085_2016-07-28_final
2016-07-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2016-07-28_final
2016-07-28 11:24:18	ga_ls8c_ard_3-0-0_110085_2016-07-28_final
2018-02-04 10:10:24	ga_ls8c_ard_3-0-0_098086_2018-02-04_final
2018-02-05 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-02-04_final
2018-02-06 09:58:02	ga_ls8c_ard_3-0-0_096086_2018-02-06_final
2018-02-08 09:45:39	ga_ls8c_ard_3-0-0_094086_2018-02-08_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-02-21 09:14:41	ga_ls8c_ard_3-0-0_089086_2018-02-20_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-16 09:20:39	ga_ls8c_ard_3-0-0_090086_2018-03-15_final
2018-03-17 10:03:54	ga_ls8c_ard_3-0-0_097086_2018-03-17_final
2018-03-26 09:57:40	ga_ls8c_ard_3-0-0_096086_2018-03-26_final
2018-03-28 09:45:17	ga_ls8c_ard_3-0-0_094086_2018-03-28_final
2018-04-09 10:09:54	ga_ls8c_ard_3-0-0_098086_2018-04-09_final
2018-04-10 09:14:17	ga_ls8c_ard_3-0-0_089086_2018-04-09_final
2018-04-15 09:32:46	ga_ls8c_ard_3-0-0_092086_2018-04-15_final
2018-04-17 09:20:23	ga_ls8c_ard_3-0-0_090086_2018-04-16_final
2018-05-10 09:26:21	ga_ls8c_ard_3-0-0_091086_2018-05-09_final
2018-05-11 10:09:36	ga_ls8c_ard_3-0-0_098086_2018-05-11_final
2018-05-12 09:13:58	ga_ls8c_ard_3-0-0_089086_2018-05-11_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-07 10:03:03	ga_ls8c_ard_3-0-0_097085_2018-07-07_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2019-02-25 09:57:52	ga_ls8c_ard_3-0-0_096086_2019-02-25_final
2019-02-27 09:45:30	ga_ls8c_ard_3-0-0_094086_2019-02-27_final
2019-04-14 09:57:38	ga_ls8c_ard_3-1-0_096086_2019-04-14_final
2019-04-16 09:45:16	ga_ls8c_ard_3-1-0_094086_2019-04-16_final
2019-11-22 10:10:27	ga_ls8c_ard_3-1-0_098085_2019-11-22_final
2019-11-22 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-11-22_final
2019-11-23 09:14:50	ga_ls8c_ard_3-1-0_089085_2019-11-22_final
2019-11-23 09:15:14	ga_ls8c_ard_3-1-0_089086_2019-11-22_final
2019-11-28 09:33:46	ga_ls8c_ard_3-1-0_092086_2019-11-28_final
2019-11-28 11:12:15	ga_ls8c_ard_3-1-0_108085_2019-11-28_final
2019-11-30 09:21:01	ga_ls8c_ard_3-1-0_090085_2019-11-29_final
2019-11-30 09:21:25	ga_ls8c_ard_3-1-0_090086_2019-11-29_final
2019-12-01 10:04:16	ga_ls8c_ard_3-1-0_097085_2019-12-01_final
2019-12-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2019-12-01_final
2019-12-12 09:46:07	ga_ls8c_ard_3-1-0_094086_2019-12-12_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_final
2019-12-17 10:04:38	ga_ls8c_ard_3-2-0_097086_2019-12-17_final
2019-12-19 09:52:16	ga_ls8c_ard_3-2-0_095086_2019-12-19_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2019-12-24 10:10:24	ga_ls8c_ard_3-1-0_098085_2019-12-24_final
2019-12-24 10:10:48	ga_ls8c_ard_3-1-0_098086_2019-12-24_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2020-01-09 10:10:20	ga_ls8c_ard_3-1-0_098085_2020-01-09_final
2020-01-09 10:10:44	ga_ls8c_ard_3-1-0_098086_2020-01-09_final
2020-01-10 09:15:06	ga_ls8c_ard_3-1-0_089086_2020-01-09_final
2020-01-25 10:10:40	ga_ls8c_ard_3-1-0_098086_2020-01-25_final
2020-01-26 09:15:02	ga_ls8c_ard_3-1-0_089086_2020-01-25_final
2020-01-31 09:33:33	ga_ls8c_ard_3-1-0_092086_2020-01-31_final
2020-02-02 09:21:10	ga_ls8c_ard_3-1-0_090086_2020-02-01_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