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
2015-04-28 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
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-06-01 09:38:21	ga_ls8c_ard_3-0-0_093085_2015-06-01_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_final
2015-06-02 10:21:37	ga_ls8c_ard_3-0-0_100085_2015-06-02_final
2015-06-06 09:56:58	ga_ls8c_ard_3-0-0_096085_2015-06-06_final
2015-06-06 09:57:22	ga_ls8c_ard_3-0-0_096086_2015-06-06_final
2015-06-06 11:35:51	ga_ls8c_ard_3-0-0_112085_2015-06-06_final
2015-06-08 09:44:38	ga_ls8c_ard_3-0-0_094085_2015-06-08_final
2015-06-08 09:45:02	ga_ls8c_ard_3-0-0_094086_2015-06-08_final
2015-06-08 11:23:31	ga_ls8c_ard_3-0-0_110085_2015-06-08_final
2015-06-24 09:44:44	ga_ls8c_ard_3-0-0_094085_2015-06-24_final
2015-06-24 09:45:08	ga_ls8c_ard_3-0-0_094086_2015-06-24_final
2015-06-24 11:23:37	ga_ls8c_ard_3-0-0_110085_2015-06-24_final
2015-06-26 09:32:46	ga_ls8c_ard_3-0-0_092086_2015-06-26_final
2015-06-26 11:11:16	ga_ls8c_ard_3-0-0_108085_2015-06-26_final
2015-07-17 09:51:33	ga_ls8c_ard_3-0-0_095086_2015-07-17_final
2015-07-17 11:30:02	ga_ls8c_ard_3-0-0_111085_2015-07-17_final
2015-07-19 09:39:12	ga_ls8c_ard_3-0-0_093086_2015-07-19_final
2015-07-19 11:17:41	ga_ls8c_ard_3-0-0_109085_2015-07-19_final
2015-07-20 10:22:04	ga_ls8c_ard_3-0-0_100085_2015-07-20_final
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-07-24 11:36:15	ga_ls8c_ard_3-0-0_112085_2015-07-24_final
2015-07-26 09:45:01	ga_ls8c_ard_3-0-0_094085_2015-07-26_final
2015-07-26 09:45:25	ga_ls8c_ard_3-0-0_094086_2015-07-26_final
2015-07-26 11:23:54	ga_ls8c_ard_3-0-0_110085_2015-07-26_final
2015-08-02 09:51:13	ga_ls8c_ard_3-0-0_095085_2015-08-02_final
2015-08-02 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-08-02_final
2015-08-02 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-08-02_final
2015-08-04 09:38:51	ga_ls8c_ard_3-0-0_093085_2015-08-04_final
2015-08-04 09:39:15	ga_ls8c_ard_3-0-0_093086_2015-08-04_final
2015-08-05 10:22:07	ga_ls8c_ard_3-0-0_100085_2015-08-05_final
2015-08-15 09:20:24	ga_ls8c_ard_3-0-0_090085_2015-08-14_final
2015-08-15 09:20:48	ga_ls8c_ard_3-0-0_090086_2015-08-14_final
2015-08-16 10:03:40	ga_ls8c_ard_3-0-0_097085_2015-08-16_final
2015-08-16 10:04:04	ga_ls8c_ard_3-0-0_097086_2015-08-16_final
2016-12-21 09:33:41	ga_ls8c_ard_3-0-0_092086_2016-12-21_final
2016-12-22 10:16:33	ga_ls8c_ard_3-0-0_099085_2016-12-22_final
2016-12-23 09:20:56	ga_ls8c_ard_3-0-0_090085_2016-12-22_final
2016-12-23 09:21:20	ga_ls8c_ard_3-0-0_090086_2016-12-22_final
2016-12-24 10:04:11	ga_ls8c_ard_3-0-0_097085_2016-12-24_final
2016-12-24 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-12-24_final
2017-02-10 10:04:19	ga_ls8c_ard_3-0-0_097086_2017-02-10_final
2017-02-23 09:33:21	ga_ls8c_ard_3-0-0_092086_2017-02-23_final
2017-02-25 09:20:58	ga_ls8c_ard_3-0-0_090086_2017-02-24_final
2017-03-23 09:57:48	ga_ls8c_ard_3-0-0_096086_2017-03-23_final
2017-03-25 09:45:26	ga_ls8c_ard_3-0-0_094086_2017-03-25_final
2017-04-24 09:57:32	ga_ls8c_ard_3-0-0_096086_2017-04-24_final
2017-04-26 09:45:09	ga_ls8c_ard_3-0-0_094086_2017-04-26_final
2017-06-27 09:57:32	ga_ls8c_ard_3-0-0_096085_2017-06-27_final
2017-06-27 09:57:56	ga_ls8c_ard_3-0-0_096086_2017-06-27_final
2017-06-27 11:36:25	ga_ls8c_ard_3-0-0_112085_2017-06-27_final
2017-06-29 09:45:35	ga_ls8c_ard_3-0-0_094086_2017-06-29_final
2017-06-29 11:24:04	ga_ls8c_ard_3-0-0_110085_2017-06-29_final
2018-02-10 09:33:17	ga_ls8c_ard_3-0-0_092086_2018-02-10_final
2018-02-12 09:20:31	ga_ls8c_ard_3-0-0_090085_2018-02-11_final
2018-02-12 09:20:55	ga_ls8c_ard_3-0-0_090086_2018-02-11_final
2018-02-13 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-02-13_final
2018-02-26 09:33:11	ga_ls8c_ard_3-0-0_092086_2018-02-26_final
2018-02-28 09:20:48	ga_ls8c_ard_3-0-0_090086_2018-02-27_final
2018-03-01 10:04:03	ga_ls8c_ard_3-0-0_097086_2018-03-01_final
2018-03-30 09:32:55	ga_ls8c_ard_3-0-0_092086_2018-03-30_final
2018-04-01 09:20:32	ga_ls8c_ard_3-0-0_090086_2018-03-31_final
2018-04-02 10:03:47	ga_ls8c_ard_3-0-0_097086_2018-04-02_final
2018-04-08 09:26:39	ga_ls8c_ard_3-0-0_091086_2018-04-07_final
2018-04-18 10:03:38	ga_ls8c_ard_3-0-0_097086_2018-04-18_final
2018-09-13 11:17:44	ga_ls8c_ard_3-0-0_109085_2018-09-13_final
2018-09-14 10:22:07	ga_ls8c_ard_3-0-0_100085_2018-09-14_final
2018-09-27 09:51:42	ga_ls8c_ard_3-0-0_095086_2018-09-27_final
2018-09-27 11:30:11	ga_ls8c_ard_3-0-0_111085_2018-09-27_final
2018-09-29 09:38:57	ga_ls8c_ard_3-0-0_093085_2018-09-29_final
2018-09-29 09:39:21	ga_ls8c_ard_3-0-0_093086_2018-09-29_final
2018-11-01 10:22:24	ga_ls8c_ard_3-0-0_100085_2018-11-01_final
2019-01-01 09:51:52	ga_ls8c_ard_3-0-0_095086_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
2019-01-17 09:51:49	ga_ls8c_ard_3-0-0_095086_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
2019-06-19 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 09:33:22	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
2019-08-17 09:27:25	ga_ls8c_ard_3-1-0_091086_2019-08-16_final
2019-08-17 11:05:54	ga_ls8c_ard_3-1-0_107085_2019-08-17_final
2019-08-18 10:10:17	ga_ls8c_ard_3-1-0_098085_2019-08-18_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-09-02 09:27:28	ga_ls8c_ard_3-1-0_091086_2019-09-01_final
2019-09-02 11:05:57	ga_ls8c_ard_3-1-0_107085_2019-09-02_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