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
2015-09-26 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
2015-10-05 09:52:01	ga_ls8c_ard_3-0-0_095086_2015-10-05_final
2015-10-05 11:30:30	ga_ls8c_ard_3-0-0_111085_2015-10-05_final
2015-10-07 09:39:15	ga_ls8c_ard_3-0-0_093085_2015-10-07_final
2015-10-07 09:39:39	ga_ls8c_ard_3-0-0_093086_2015-10-07_final
2015-10-07 11:18:08	ga_ls8c_ard_3-0-0_109085_2015-10-07_final
2015-10-08 10:22:31	ga_ls8c_ard_3-0-0_100085_2015-10-08_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
2015-10-30 09:45:31	ga_ls8c_ard_3-0-0_094085_2015-10-30_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-10-30 11:24:24	ga_ls8c_ard_3-0-0_110085_2015-10-30_final
2015-11-06 09:51:42	ga_ls8c_ard_3-0-0_095085_2015-11-06_final
2015-11-06 09:52:06	ga_ls8c_ard_3-0-0_095086_2015-11-06_final
2015-11-06 11:30:35	ga_ls8c_ard_3-0-0_111085_2015-11-06_final
2015-11-08 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-11-08_final
2015-11-08 09:39:45	ga_ls8c_ard_3-0-0_093086_2015-11-08_final
2015-11-08 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-11-08_final
2015-11-09 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-11-09_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
2015-11-22 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-11-22_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-11-24 11:18:16	ga_ls8c_ard_3-0-0_109085_2015-11-24_final
2015-11-25 10:22:39	ga_ls8c_ard_3-0-0_100085_2015-11-25_final
2015-12-28 09:27:00	ga_ls8c_ard_3-0-0_091085_2015-12-27_final
2015-12-28 09:27:24	ga_ls8c_ard_3-0-0_091086_2015-12-27_final
2015-12-28 11:05:53	ga_ls8c_ard_3-0-0_107085_2015-12-28_final
2015-12-29 10:10:15	ga_ls8c_ard_3-0-0_098085_2015-12-29_final
2015-12-29 10:10:39	ga_ls8c_ard_3-0-0_098086_2015-12-29_final
2015-12-30 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-29_final
2015-12-30 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-29_final
2016-01-13 09:27:21	ga_ls8c_ard_3-0-0_091086_2016-01-12_final
2016-01-13 11:05:50	ga_ls8c_ard_3-0-0_107085_2016-01-13_final
2016-02-14 09:27:13	ga_ls8c_ard_3-1-0_091086_2016-02-13_final
2016-02-26 09:51:53	ga_ls8c_ard_3-0-0_095086_2016-02-26_final
2016-02-26 11:30:22	ga_ls8c_ard_3-0-0_111085_2016-02-26_final
2016-02-28 09:39:08	ga_ls8c_ard_3-0-0_093085_2016-02-28_final
2016-02-28 09:39:31	ga_ls8c_ard_3-0-0_093086_2016-02-28_final
2016-02-28 11:18:01	ga_ls8c_ard_3-0-0_109085_2016-02-28_final
2016-02-29 10:22:23	ga_ls8c_ard_3-0-0_100085_2016-02-29_final
2016-03-01 09:27:10	ga_ls8c_ard_3-0-0_091086_2016-02-29_final
2016-03-01 11:05:39	ga_ls8c_ard_3-0-0_107085_2016-03-01_final
2016-03-06 09:45:18	ga_ls8c_ard_3-0-0_094085_2016-03-06_final
2016-03-06 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-03-06_final
2016-03-08 09:33:19	ga_ls8c_ard_3-0-0_092086_2016-03-08_final
2016-03-08 11:11:49	ga_ls8c_ard_3-0-0_108085_2016-03-08_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
2016-04-03 10:09:47	ga_ls8c_ard_3-0-0_098085_2016-04-03_final
2016-04-03 10:10:11	ga_ls8c_ard_3-0-0_098086_2016-04-03_final
2016-04-04 09:14:09	ga_ls8c_ard_3-0-0_089085_2016-04-03_final
2016-04-04 09:14:33	ga_ls8c_ard_3-0-0_089086_2016-04-03_final
2016-04-05 09:57:49	ga_ls8c_ard_3-0-0_096086_2016-04-05_final
2016-04-05 11:36:18	ga_ls8c_ard_3-0-0_112085_2016-04-05_final
2016-04-07 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-04-07_final
2016-04-21 09:57:19	ga_ls8c_ard_3-0-0_096085_2016-04-21_final
2016-04-21 09:57:43	ga_ls8c_ard_3-0-0_096086_2016-04-21_final
2016-04-23 09:45:20	ga_ls8c_ard_3-0-0_094086_2016-04-23_final
2016-04-23 11:23:49	ga_ls8c_ard_3-0-0_110085_2016-04-23_final
2019-03-15 09:45:24	ga_ls8c_ard_3-1-0_094086_2019-03-15_final
2019-03-17 09:33:02	ga_ls8c_ard_3-1-0_092086_2019-03-17_final
2019-03-17 11:11:31	ga_ls8c_ard_3-1-0_108085_2019-03-17_final
2019-05-02 09:44:50	ga_ls8c_ard_3-0-0_094085_2019-05-02_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-02 11:23:43	ga_ls8c_ard_3-0-0_110085_2019-05-02_final
2019-05-04 09:32:54	ga_ls8c_ard_3-0-0_092086_2019-05-04_final
2019-05-04 11:11:23	ga_ls8c_ard_3-0-0_108085_2019-05-04_final
2020-03-05 09:20:37	ga_ls8c_ard_3-1-0_090085_2020-03-04_final
2020-03-05 09:21:01	ga_ls8c_ard_3-1-0_090086_2020-03-04_final
2020-03-28 09:27:00	ga_ls8c_ard_3-1-0_091086_2020-03-27_final
2020-03-28 11:05:29	ga_ls8c_ard_3-1-0_107085_2020-03-28_final
2020-04-06 09:20:45	ga_ls8c_ard_3-1-0_090086_2020-04-05_final
2020-04-23 10:03:53	ga_ls8c_ard_3-1-0_097086_2020-04-23_final
2020-05-15 09:26:17	ga_ls8c_ard_3-1-0_091085_2020-05-14_final
2020-05-15 09:26:41	ga_ls8c_ard_3-1-0_091086_2020-05-14_final
2020-05-15 11:05:10	ga_ls8c_ard_3-1-0_107085_2020-05-15_final
2020-06-01 10:09:38	ga_ls8c_ard_3-1-0_098085_2020-06-01_final
2020-06-01 10:10:02	ga_ls8c_ard_3-1-0_098086_2020-06-01_final
2020-06-02 09:14:01	ga_ls8c_ard_3-1-0_089085_2020-06-01_final
2020-06-02 09:14:25	ga_ls8c_ard_3-1-0_089086_2020-06-01_final
2020-06-07 11:11:30	ga_ls8c_ard_3-1-0_108085_2020-06-07_final
2020-06-08 10:15:53	ga_ls8c_ard_3-1-0_099085_2020-06-08_final
2020-06-09 09:20:17	ga_ls8c_ard_3-1-0_090085_2020-06-08_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