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
2013-09-10 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-09-09_final
2013-09-10 09:23:06	ga_ls8c_ard_3-0-0_090086_2013-09-09_final
2013-09-11 10:05:57	ga_ls8c_ard_3-0-0_097085_2013-09-11_final
2013-09-22 09:47:20	ga_ls8c_ard_3-1-0_094085_2013-09-22_final
2013-09-22 09:47:44	ga_ls8c_ard_3-0-0_094086_2013-09-22_final
2013-09-24 09:34:57	ga_ls8c_ard_3-0-0_092085_2013-09-24_final
2013-09-24 09:35:21	ga_ls8c_ard_3-0-0_092086_2013-09-24_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-04 09:28:37	ga_ls8c_ard_3-0-0_091085_2013-11-03_final
2013-11-04 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-11-03_final
2013-11-05 10:11:53	ga_ls8c_ard_3-0-0_098085_2013-11-05_final
2013-11-30 10:05:34	ga_ls8c_ard_3-0-0_097085_2013-11-30_final
2013-12-02 09:53:13	ga_ls8c_ard_3-0-0_095085_2013-12-02_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2014-01-12 09:46:38	ga_ls8c_ard_3-0-0_094085_2014-01-12_final
2014-01-12 09:47:02	ga_ls8c_ard_3-0-0_094086_2014-01-12_final
2014-01-14 09:34:38	ga_ls8c_ard_3-0-0_092086_2014-01-14_final
2014-01-24 10:11:16	ga_ls8c_ard_3-0-0_098085_2014-01-24_final
2014-01-25 09:15:38	ga_ls8c_ard_3-0-0_089085_2014-01-24_final
2014-01-25 09:16:02	ga_ls8c_ard_3-0-0_089086_2014-01-24_final
2014-01-26 09:59:17	ga_ls8c_ard_3-0-0_096086_2014-01-26_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
2014-02-02 10:05:00	ga_ls8c_ard_3-0-0_097085_2014-02-02_final
2014-02-04 09:53:01	ga_ls8c_ard_3-0-0_095086_2014-02-04_final
2014-02-06 09:40:13	ga_ls8c_ard_3-0-0_093085_2014-02-06_final
2014-02-06 09:40:37	ga_ls8c_ard_3-0-0_093086_2014-02-06_final
2018-05-26 09:26:08	ga_ls8c_ard_3-0-0_091086_2018-05-25_final
2018-05-26 11:04:37	ga_ls8c_ard_3-0-0_107085_2018-05-26_final
2018-05-27 10:08:59	ga_ls8c_ard_3-0-0_098085_2018-05-27_final
2018-05-27 10:09:23	ga_ls8c_ard_3-0-0_098086_2018-05-27_final
2018-05-28 09:13:21	ga_ls8c_ard_3-0-0_089085_2018-05-27_final
2018-05-28 09:13:45	ga_ls8c_ard_3-0-0_089086_2018-05-27_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
2018-07-30 10:09:24	ga_ls8c_ard_3-0-0_098085_2018-07-30_final
2018-07-30 10:09:48	ga_ls8c_ard_3-0-0_098086_2018-07-30_final
2018-07-31 09:13:48	ga_ls8c_ard_3-0-0_089085_2018-07-30_final
2018-07-31 09:14:12	ga_ls8c_ard_3-0-0_089086_2018-07-30_final
2018-08-15 10:09:34	ga_ls8c_ard_3-0-0_098085_2018-08-15_final
2018-08-15 10:09:58	ga_ls8c_ard_3-0-0_098086_2018-08-15_final
2018-08-16 09:13:57	ga_ls8c_ard_3-0-0_089085_2018-08-15_final
2018-08-16 09:14:21	ga_ls8c_ard_3-0-0_089086_2018-08-15_final
2018-08-19 09:44:52	ga_ls8c_ard_3-0-0_094085_2018-08-19_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 09:57:20	ga_ls8c_ard_3-0-0_096085_2018-09-02_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
2018-09-04 11:23:52	ga_ls8c_ard_3-0-0_110085_2018-09-04_final
2018-09-09 10:03:33	ga_ls8c_ard_3-0-0_097085_2018-09-09_final
2018-09-09 10:03:57	ga_ls8c_ard_3-0-0_097086_2018-09-09_final
2019-03-26 09:26:26	ga_ls8c_ard_3-1-0_091085_2019-03-25_final
2019-03-26 09:26:50	ga_ls8c_ard_3-1-0_091086_2019-03-25_final
2019-03-26 11:05:19	ga_ls8c_ard_3-1-0_107085_2019-03-26_final
2019-03-27 10:09:42	ga_ls8c_ard_3-1-0_098085_2019-03-27_final
2019-03-27 10:10:06	ga_ls8c_ard_3-1-0_098086_2019-03-27_final
2019-03-28 09:14:04	ga_ls8c_ard_3-1-0_089085_2019-03-27_final
2019-03-28 09:14:28	ga_ls8c_ard_3-1-0_089086_2019-03-27_final
2019-03-29 09:57:20	ga_ls8c_ard_3-1-0_096085_2019-03-29_final
2019-03-29 09:57:43	ga_ls8c_ard_3-1-0_096086_2019-03-29_final
2019-03-29 11:36:13	ga_ls8c_ard_3-1-0_112085_2019-03-29_final
2019-05-13 09:26:25	ga_ls8c_ard_3-0-0_091085_2019-05-12_final
2019-05-13 09:26:49	ga_ls8c_ard_3-0-0_091086_2019-05-12_final
2019-05-13 11:05:18	ga_ls8c_ard_3-0-0_107085_2019-05-13_final
2019-05-14 10:09:41	ga_ls8c_ard_3-0-0_098085_2019-05-14_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-15 09:14:05	ga_ls8c_ard_3-0-0_089085_2019-05-14_final
2019-05-15 09:14:29	ga_ls8c_ard_3-0-0_089086_2019-05-14_final
2019-05-16 09:57:21	ga_ls8c_ard_3-0-0_096085_2019-05-16_final
2019-05-16 09:57:45	ga_ls8c_ard_3-0-0_096086_2019-05-16_final
2019-05-16 11:36:14	ga_ls8c_ard_3-0-0_112085_2019-05-16_final
2020-03-01 09:45:22	ga_ls8c_ard_3-1-0_094085_2020-03-01_final
2020-03-01 09:45:46	ga_ls8c_ard_3-1-0_094086_2020-03-01_final
2020-03-01 11:24:15	ga_ls8c_ard_3-1-0_110085_2020-03-01_final
2020-03-03 09:33:24	ga_ls8c_ard_3-1-0_092086_2020-03-03_final
2020-04-02 09:45:06	ga_ls8c_ard_3-1-0_094085_2020-04-02_final
2020-04-02 09:45:30	ga_ls8c_ard_3-1-0_094086_2020-04-02_final
2020-04-02 11:23:59	ga_ls8c_ard_3-1-0_110085_2020-04-02_final
2020-04-04 09:33:07	ga_ls8c_ard_3-1-0_092086_2020-04-04_final
2020-04-04 11:11:36	ga_ls8c_ard_3-1-0_108085_2020-04-04_final
2020-10-09 09:58:06	ga_ls8c_ard_3-1-0_096085_2020-10-09_final
2020-10-09 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-10-09_final
2020-10-09 11:36:59	ga_ls8c_ard_3-1-0_112085_2020-10-09_final
2020-10-11 09:45:45	ga_ls8c_ard_3-1-0_094085_2020-10-11_final
2020-10-11 09:46:09	ga_ls8c_ard_3-1-0_094086_2020-10-11_final
2020-10-11 11:24:38	ga_ls8c_ard_3-1-0_110085_2020-10-11_final
2020-10-18 11:30:49	ga_ls8c_ard_3-1-0_111085_2020-10-18_final
2020-10-20 09:39:34	ga_ls8c_ard_3-1-0_093085_2020-10-20_final
2020-10-20 09:39:58	ga_ls8c_ard_3-1-0_093086_2020-10-20_final
2020-10-20 11:18:27	ga_ls8c_ard_3-1-0_109085_2020-10-20_final
2020-10-21 10:22:50	ga_ls8c_ard_3-1-0_100085_2020-10-21_final
2020-10-27 09:45:44	ga_ls8c_ard_3-1-0_094085_2020-10-27_final
2020-10-27 09:46:08	ga_ls8c_ard_3-1-0_094086_2020-10-27_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