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
2015-04-21 09:45:10	ga_ls8c_ard_3-1-0_094086_2015-04-21_final
2015-04-23 09:32:48	ga_ls8c_ard_3-0-0_092086_2015-04-23_final
2015-04-28 09:51:16	ga_ls8c_ard_3-0-0_095086_2015-04-28_final
2015-04-30 09:38:53	ga_ls8c_ard_3-0-0_093086_2015-04-30_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2015-05-26 10:15:23	ga_ls8c_ard_3-0-0_099085_2015-05-26_final
2015-06-15 09:50:53	ga_ls8c_ard_3-0-0_095085_2015-06-15_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-15 11:29:46	ga_ls8c_ard_3-0-0_111085_2015-06-15_final
2015-06-17 09:38:32	ga_ls8c_ard_3-0-0_093085_2015-06-17_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 11:17:25	ga_ls8c_ard_3-0-0_109085_2015-06-17_final
2015-06-18 10:21:48	ga_ls8c_ard_3-0-0_100085_2015-06-18_final
2015-07-01 09:51:23	ga_ls8c_ard_3-0-0_095086_2015-07-01_final
2015-07-01 11:29:52	ga_ls8c_ard_3-0-0_111085_2015-07-01_final
2015-07-03 09:38:39	ga_ls8c_ard_3-0-0_093085_2015-07-03_final
2015-07-03 09:39:03	ga_ls8c_ard_3-0-0_093086_2015-07-03_final
2015-07-03 11:17:32	ga_ls8c_ard_3-0-0_109085_2015-07-03_final
2015-07-04 10:21:55	ga_ls8c_ard_3-0-0_100085_2015-07-04_final
2015-08-18 09:51:19	ga_ls8c_ard_3-0-0_095085_2015-08-18_final
2015-08-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2015-08-18_final
2015-08-18 11:30:13	ga_ls8c_ard_3-0-0_111085_2015-08-18_final
2015-08-20 09:38:59	ga_ls8c_ard_3-0-0_093085_2015-08-20_final
2015-08-20 09:39:23	ga_ls8c_ard_3-0-0_093086_2015-08-20_final
2015-08-20 11:17:52	ga_ls8c_ard_3-0-0_109085_2015-08-20_final
2015-08-21 10:22:15	ga_ls8c_ard_3-0-0_100085_2015-08-21_final
2015-09-26 09:57:46	ga_ls8c_ard_3-0-0_096085_2015-09-26_final
2015-09-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2015-09-26_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-09-28 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-09-28_final
2015-09-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-09-28_final
2015-09-28 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-09-28_final
2015-10-12 09:57:47	ga_ls8c_ard_3-0-0_096085_2015-10-12_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2015-10-12 11:36:40	ga_ls8c_ard_3-0-0_112085_2015-10-12_final
2015-10-14 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-10-14_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-10-14_final
2015-11-13 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-11-13_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2015-11-13 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-11-13_final
2015-11-15 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-11-15_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2016-12-10 09:52:17	ga_ls8c_ard_3-0-0_095086_2016-12-10_final
2016-12-10 11:30:46	ga_ls8c_ard_3-0-0_111085_2016-12-10_final
2016-12-12 09:39:31	ga_ls8c_ard_3-0-0_093085_2016-12-12_final
2016-12-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2016-12-12_final
2016-12-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2016-12-12_final
2017-01-27 09:52:04	ga_ls8c_ard_3-0-0_095086_2017-01-27_final
2017-01-27 11:30:34	ga_ls8c_ard_3-0-0_111085_2017-01-27_final
2017-01-29 09:39:42	ga_ls8c_ard_3-0-0_093086_2017-01-29_final
2017-01-29 11:18:11	ga_ls8c_ard_3-0-0_109085_2017-01-29_final
2017-01-30 10:22:33	ga_ls8c_ard_3-0-0_100085_2017-01-30_final
2017-02-12 09:51:32	ga_ls8c_ard_3-0-0_095085_2017-02-12_final
2017-02-12 09:51:56	ga_ls8c_ard_3-0-0_095086_2017-02-12_final
2017-02-12 11:30:26	ga_ls8c_ard_3-0-0_111085_2017-02-12_final
2017-02-14 09:39:34	ga_ls8c_ard_3-0-0_093086_2017-02-14_final
2017-02-15 10:22:26	ga_ls8c_ard_3-0-0_100085_2017-02-15_final
2017-02-28 09:51:51	ga_ls8c_ard_3-0-0_095086_2017-02-28_final
2017-03-02 09:39:29	ga_ls8c_ard_3-0-0_093086_2017-03-02_final
2018-12-23 09:57:39	ga_ls8c_ard_3-0-0_096085_2018-12-23_final
2018-12-25 09:45:17	ga_ls8c_ard_3-0-0_094085_2018-12-25_final
2018-12-25 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-12-25_final
2019-01-01 09:51:28	ga_ls8c_ard_3-0-0_095085_2019-01-01_final
2019-01-01 09:51:52	ga_ls8c_ard_3-0-0_095086_2019-01-01_final
2019-01-01 11:30:21	ga_ls8c_ard_3-0-0_111085_2019-01-01_final
2019-01-03 09:39:06	ga_ls8c_ard_3-0-0_093085_2019-01-03_final
2019-01-03 09:39:30	ga_ls8c_ard_3-0-0_093086_2019-01-03_final
2019-01-03 11:17:59	ga_ls8c_ard_3-0-0_109085_2019-01-03_final
2019-01-04 10:22:22	ga_ls8c_ard_3-0-0_100085_2019-01-04_final
2019-01-17 09:51:49	ga_ls8c_ard_3-0-0_095086_2019-01-17_final
2019-01-17 11:30:18	ga_ls8c_ard_3-0-0_111085_2019-01-17_final
2019-01-19 09:39:03	ga_ls8c_ard_3-0-0_093085_2019-01-19_final
2019-01-19 09:39:27	ga_ls8c_ard_3-0-0_093086_2019-01-19_final
2019-01-19 11:17:56	ga_ls8c_ard_3-0-0_109085_2019-01-19_final
2019-01-20 10:22:18	ga_ls8c_ard_3-0-0_100085_2019-01-20_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-06-19 11:24:09	ga_ls8c_ard_3-1-0_110085_2019-06-19_final
2019-06-21 09:33:18	ga_ls8c_ard_3-1-0_092086_2019-06-21_final
2019-06-21 11:11:48	ga_ls8c_ard_3-1-0_108085_2019-06-21_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 09:32:58	ga_ls8c_ard_3-1-0_092085_2019-07-07_final
2019-07-07 09:33:22	ga_ls8c_ard_3-1-0_092086_2019-07-07_final
2019-07-07 11:11:51	ga_ls8c_ard_3-1-0_108085_2019-07-07_final
2019-07-14 11:18:03	ga_ls8c_ard_3-1-0_109085_2019-07-14_final
2019-07-15 10:22:26	ga_ls8c_ard_3-1-0_100085_2019-07-15_final
2019-07-28 09:51:37	ga_ls8c_ard_3-1-0_095085_2019-07-28_final
2019-07-28 09:52:01	ga_ls8c_ard_3-1-0_095086_2019-07-28_final
2019-07-28 11:30:30	ga_ls8c_ard_3-1-0_111085_2019-07-28_final
2019-07-30 09:39:16	ga_ls8c_ard_3-1-0_093085_2019-07-30_final
2019-07-30 09:39:40	ga_ls8c_ard_3-1-0_093086_2019-07-30_final
2019-07-30 11:18:09	ga_ls8c_ard_3-1-0_109085_2019-07-30_final
2019-07-31 10:22:32	ga_ls8c_ard_3-1-0_100085_2019-07-31_final
2019-08-01 09:26:55	ga_ls8c_ard_3-1-0_091085_2019-07-31_final
2019-08-01 09:27:19	ga_ls8c_ard_3-1-0_091086_2019-07-31_final
2019-08-01 11:05:48	ga_ls8c_ard_3-1-0_107085_2019-08-01_final
2019-10-20 09:27:16	ga_ls8c_ard_3-1-0_091085_2019-10-19_final
2019-10-20 09:27:40	ga_ls8c_ard_3-1-0_091086_2019-10-19_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