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
2014-07-11 09:20:33	ga_ls8c_ard_3-0-0_090085_2014-07-10_final
2014-07-11 09:20:57	ga_ls8c_ard_3-0-0_090086_2014-07-10_final
2014-07-12 10:03:49	ga_ls8c_ard_3-0-0_097085_2014-07-12_final
2014-07-14 09:51:28	ga_ls8c_ard_3-0-0_095085_2014-07-14_final
2014-07-14 09:51:51	ga_ls8c_ard_3-0-0_095086_2014-07-14_final
2014-08-08 09:45:26	ga_ls8c_ard_3-0-0_094085_2014-08-08_final
2014-08-08 09:45:50	ga_ls8c_ard_3-0-0_094086_2014-08-08_final
2014-09-14 10:04:06	ga_ls8c_ard_3-0-0_097085_2014-09-14_final
2015-12-13 10:10:15	ga_ls8c_ard_3-0-0_098085_2015-12-13_final
2015-12-13 10:10:39	ga_ls8c_ard_3-0-0_098086_2015-12-13_final
2015-12-14 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-13_final
2015-12-14 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-13_final
2015-12-15 09:57:54	ga_ls8c_ard_3-0-0_096085_2015-12-15_final
2015-12-15 09:58:18	ga_ls8c_ard_3-0-0_096086_2015-12-15_final
2015-12-15 11:36:47	ga_ls8c_ard_3-0-0_112085_2015-12-15_final
2015-12-22 10:04:06	ga_ls8c_ard_3-0-0_097085_2015-12-22_final
2015-12-22 10:04:30	ga_ls8c_ard_3-0-0_097086_2015-12-22_final
2015-12-24 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-12-24_final
2015-12-24 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2015-12-26 09:39:22	ga_ls8c_ard_3-0-0_093085_2015-12-26_final
2015-12-26 09:39:46	ga_ls8c_ard_3-0-0_093086_2015-12-26_final
2015-12-27 10:22:37	ga_ls8c_ard_3-0-0_100085_2015-12-27_final
2016-01-18 09:45:30	ga_ls8c_ard_3-0-0_094085_2016-01-18_final
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-01-18 11:24:23	ga_ls8c_ard_3-0-0_110085_2016-01-18_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
2016-02-13 10:22:27	ga_ls8c_ard_3-0-0_100085_2016-02-13_final
2016-03-20 09:57:34	ga_ls8c_ard_3-0-0_096085_2016-03-20_final
2016-03-20 09:57:57	ga_ls8c_ard_3-0-0_096086_2016-03-20_final
2016-03-22 09:45:35	ga_ls8c_ard_3-0-0_094086_2016-03-22_final
2016-03-24 09:33:12	ga_ls8c_ard_3-0-0_092086_2016-03-24_final
2016-03-24 11:11:41	ga_ls8c_ard_3-0-0_108085_2016-03-24_final
2016-03-26 09:20:49	ga_ls8c_ard_3-0-0_090086_2016-03-25_final
2016-03-27 10:04:04	ga_ls8c_ard_3-0-0_097086_2016-03-27_final
2016-03-29 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-03-29_final
2016-03-31 09:38:53	ga_ls8c_ard_3-0-0_093085_2016-03-31_final
2016-03-31 09:39:17	ga_ls8c_ard_3-0-0_093086_2016-03-31_final
2016-03-31 11:17:46	ga_ls8c_ard_3-0-0_109085_2016-03-31_final
2016-04-10 10:15:56	ga_ls8c_ard_3-0-0_099085_2016-04-10_final
2016-04-11 09:20:42	ga_ls8c_ard_3-0-0_090086_2016-04-10_final
2016-04-12 10:03:33	ga_ls8c_ard_3-0-0_097085_2016-04-12_final
2016-04-12 10:03:57	ga_ls8c_ard_3-0-0_097086_2016-04-12_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
2016-04-30 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-30_final
2016-05-09 09:44:59	ga_ls8c_ard_3-0-0_094085_2016-05-09_final
2016-05-09 09:45:23	ga_ls8c_ard_3-0-0_094086_2016-05-09_final
2016-05-09 11:23:52	ga_ls8c_ard_3-0-0_110085_2016-05-09_final
2017-04-12 09:32:56	ga_ls8c_ard_3-0-0_092086_2017-04-12_final
2017-04-14 09:20:33	ga_ls8c_ard_3-0-0_090086_2017-04-13_final
2017-04-19 09:39:03	ga_ls8c_ard_3-0-0_093086_2017-04-19_final
2017-04-21 09:26:40	ga_ls8c_ard_3-0-0_091086_2017-04-20_final
2017-06-06 09:38:52	ga_ls8c_ard_3-0-0_093085_2017-06-06_final
2017-06-06 09:39:16	ga_ls8c_ard_3-0-0_093086_2017-06-06_final
2017-06-06 11:17:45	ga_ls8c_ard_3-0-0_109085_2017-06-06_final
2017-06-07 10:22:09	ga_ls8c_ard_3-0-0_100085_2017-06-07_final
2017-06-08 09:26:32	ga_ls8c_ard_3-0-0_091085_2017-06-07_final
2017-06-08 09:26:56	ga_ls8c_ard_3-0-0_091086_2017-06-07_final
2017-06-08 11:05:25	ga_ls8c_ard_3-0-0_107085_2017-06-08_final
2017-07-24 09:39:08	ga_ls8c_ard_3-0-0_093085_2017-07-24_final
2017-07-24 09:39:32	ga_ls8c_ard_3-0-0_093086_2017-07-24_final
2017-07-24 11:18:01	ga_ls8c_ard_3-0-0_109085_2017-07-24_final
2017-07-25 10:22:24	ga_ls8c_ard_3-0-0_100085_2017-07-25_final
2017-07-26 09:26:47	ga_ls8c_ard_3-0-0_091085_2017-07-25_final
2017-07-26 09:27:11	ga_ls8c_ard_3-0-0_091086_2017-07-25_final
2017-07-26 11:05:40	ga_ls8c_ard_3-0-0_107085_2017-07-26_final
2022-01-23 10:04:08	ga_ls8c_ard_3-2-1_097085_2022-01-23_final
2022-01-25 09:51:45	ga_ls8c_ard_3-2-1_095085_2022-01-25_final
2022-01-25 09:52:09	ga_ls8c_ard_3-2-1_095086_2022-01-25_final
2022-01-27 09:39:46	ga_ls8c_ard_3-2-1_093086_2022-01-27_final
2022-01-29 09:27:00	ga_ls8c_ard_3-2-1_091085_2022-01-28_final
2022-01-29 09:27:24	ga_ls8c_ard_3-2-1_091086_2022-01-28_final
2022-02-01 09:58:18	ga_ls8c_ard_3-2-1_096086_2022-02-01_final
2022-02-03 09:45:33	ga_ls8c_ard_3-2-1_094085_2022-02-03_final
2022-02-03 09:45:57	ga_ls8c_ard_3-2-1_094086_2022-02-03_final
2022-02-03 11:24:26	ga_ls8c_ard_3-2-1_110085_2022-02-03_final
2022-02-05 09:33:35	ga_ls8c_ard_3-2-1_092086_2022-02-05_final
2022-02-06 10:16:26	ga_ls8c_ard_3-2-1_099085_2022-02-06_final
2022-02-07 09:20:49	ga_ls8c_ard_3-2-1_090085_2022-02-06_final
2022-02-07 09:21:13	ga_ls8c_ard_3-2-1_090086_2022-02-06_final
2022-02-12 09:39:44	ga_ls8c_ard_3-2-1_093086_2022-02-12_final
2022-02-14 09:27:21	ga_ls8c_ard_3-2-1_091086_2022-02-13_final
2022-02-26 09:52:01	ga_ls8c_ard_3-2-1_095086_2022-02-26_final
2022-02-28 09:39:39	ga_ls8c_ard_3-2-1_093086_2022-02-28_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-07 09:14:22	ga_ls8c_ard_3-2-1_089085_2022-05-06_final
2022-05-07 09:14:46	ga_ls8c_ard_3-2-1_089086_2022-05-06_final
2022-10-15 09:58:17	ga_ls8c_ard_3-2-1_096085_2022-10-15_final
2022-10-15 09:58:41	ga_ls8c_ard_3-2-1_096086_2022-10-15_final
2022-10-17 09:45:57	ga_ls8c_ard_3-2-1_094085_2022-10-17_final
2022-10-17 09:46:21	ga_ls8c_ard_3-2-1_094086_2022-10-17_final
2022-10-17 11:24:50	ga_ls8c_ard_3-2-1_110085_2022-10-17_final
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-10-19 09:34:01	ga_ls8c_ard_3-2-1_092086_2022-10-19_final
2022-10-20 10:16:53	ga_ls8c_ard_3-2-1_099085_2022-10-20_final
2022-10-21 09:21:16	ga_ls8c_ard_3-2-1_090085_2022-10-20_final
2022-10-21 09:21:40	ga_ls8c_ard_3-2-1_090086_2022-10-20_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_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