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
2016-05-18 11:17:41	ga_ls8c_ard_3-0-0_109085_2016-05-18_final
2016-05-21 10:10:08	ga_ls8c_ard_3-0-0_098086_2016-05-21_final
2016-05-22 09:14:31	ga_ls8c_ard_3-0-0_089086_2016-05-21_final
2016-05-27 09:33:05	ga_ls8c_ard_3-0-0_092086_2016-05-27_final
2016-05-27 11:11:34	ga_ls8c_ard_3-0-0_108085_2016-05-27_final
2016-05-28 10:15:57	ga_ls8c_ard_3-0-0_099085_2016-05-28_final
2016-05-29 09:20:44	ga_ls8c_ard_3-0-0_090086_2016-05-28_final
2016-05-30 10:03:36	ga_ls8c_ard_3-0-0_097085_2016-05-30_final
2016-05-30 10:04:00	ga_ls8c_ard_3-0-0_097086_2016-05-30_final
2016-06-01 09:51:39	ga_ls8c_ard_3-0-0_095086_2016-06-01_final
2016-06-03 09:38:54	ga_ls8c_ard_3-0-0_093085_2016-06-03_final
2016-06-03 09:39:18	ga_ls8c_ard_3-0-0_093086_2016-06-03_final
2016-06-12 09:33:09	ga_ls8c_ard_3-0-0_092086_2016-06-12_final
2016-06-12 11:11:38	ga_ls8c_ard_3-0-0_108085_2016-06-12_final
2016-06-14 09:20:47	ga_ls8c_ard_3-0-0_090086_2016-06-13_final
2016-06-21 09:27:01	ga_ls8c_ard_3-0-0_091086_2016-06-20_final
2016-06-21 11:05:30	ga_ls8c_ard_3-0-0_107085_2016-06-21_final
2016-07-10 09:57:41	ga_ls8c_ard_3-0-0_096085_2016-07-10_final
2016-07-10 09:58:05	ga_ls8c_ard_3-0-0_096086_2016-07-10_final
2016-07-24 10:10:31	ga_ls8c_ard_3-0-0_098086_2016-07-24_final
2016-07-25 09:14:54	ga_ls8c_ard_3-0-0_089086_2016-07-24_final
2016-08-02 10:04:22	ga_ls8c_ard_3-0-0_097086_2016-08-02_final
2016-08-08 09:27:18	ga_ls8c_ard_3-0-0_091086_2016-08-07_final
2018-05-22 09:50:55	ga_ls8c_ard_3-0-0_095086_2018-05-22_final
2018-05-24 09:38:32	ga_ls8c_ard_3-0-0_093086_2018-05-24_final
2018-05-29 09:57:00	ga_ls8c_ard_3-0-0_096086_2018-05-29_final
2018-05-31 09:44:37	ga_ls8c_ard_3-0-0_094086_2018-05-31_final
2018-06-09 11:16:56	ga_ls8c_ard_3-0-0_109085_2018-06-09_final
2018-06-10 10:21:19	ga_ls8c_ard_3-0-0_100085_2018-06-10_final
2018-06-11 09:25:43	ga_ls8c_ard_3-0-0_091085_2018-06-10_final
2018-06-11 09:26:07	ga_ls8c_ard_3-0-0_091086_2018-06-10_final
2018-06-11 11:04:36	ga_ls8c_ard_3-0-0_107085_2018-06-11_final
2018-06-23 09:50:58	ga_ls8c_ard_3-0-0_095086_2018-06-23_final
2018-06-23 11:29:27	ga_ls8c_ard_3-0-0_111085_2018-06-23_final
2018-06-25 09:38:38	ga_ls8c_ard_3-0-0_093086_2018-06-25_final
2018-06-26 10:21:30	ga_ls8c_ard_3-0-0_100085_2018-06-26_final
2018-06-30 09:56:49	ga_ls8c_ard_3-0-0_096085_2018-06-30_final
2018-06-30 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-06-30_final
2018-06-30 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-06-30_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-02 11:23:22	ga_ls8c_ard_3-0-0_110085_2018-07-02_final
2018-07-09 09:51:07	ga_ls8c_ard_3-0-0_095086_2018-07-09_final
2018-07-11 09:38:46	ga_ls8c_ard_3-0-0_093086_2018-07-11_final
2018-07-11 11:17:15	ga_ls8c_ard_3-0-0_109085_2018-07-11_final
2018-07-13 09:26:25	ga_ls8c_ard_3-0-0_091086_2018-07-12_final
2018-07-13 11:04:54	ga_ls8c_ard_3-0-0_107085_2018-07-13_final
2018-07-16 09:57:21	ga_ls8c_ard_3-0-0_096086_2018-07-16_final
2018-07-16 11:35:50	ga_ls8c_ard_3-0-0_112085_2018-07-16_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_final
2018-07-25 09:51:13	ga_ls8c_ard_3-0-0_095086_2018-07-25_final
2018-07-25 11:29:42	ga_ls8c_ard_3-0-0_111085_2018-07-25_final
2018-07-27 09:38:28	ga_ls8c_ard_3-0-0_093085_2018-07-27_final
2018-07-27 09:38:52	ga_ls8c_ard_3-0-0_093086_2018-07-27_final
2018-07-27 11:17:21	ga_ls8c_ard_3-0-0_109085_2018-07-27_final
2018-07-28 10:21:45	ga_ls8c_ard_3-0-0_100085_2018-07-28_final
2018-08-10 09:51:23	ga_ls8c_ard_3-0-0_095086_2018-08-10_final
2018-08-12 09:39:02	ga_ls8c_ard_3-0-0_093086_2018-08-12_final
2018-08-12 11:17:31	ga_ls8c_ard_3-0-0_109085_2018-08-12_final
2018-08-13 10:21:54	ga_ls8c_ard_3-0-0_100085_2018-08-13_final
2018-08-14 09:26:41	ga_ls8c_ard_3-0-0_091086_2018-08-13_final
2018-08-14 11:05:11	ga_ls8c_ard_3-0-0_107085_2018-08-14_final
2018-08-17 09:57:13	ga_ls8c_ard_3-0-0_096085_2018-08-17_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-08-17 11:36:06	ga_ls8c_ard_3-0-0_112085_2018-08-17_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
2018-08-26 09:51:30	ga_ls8c_ard_3-0-0_095086_2018-08-26_final
2018-08-28 09:39:10	ga_ls8c_ard_3-0-0_093086_2018-08-28_final
2018-08-28 11:17:39	ga_ls8c_ard_3-0-0_109085_2018-08-28_final
2018-08-30 09:26:49	ga_ls8c_ard_3-0-0_091086_2018-08-29_final
2018-09-27 09:51:42	ga_ls8c_ard_3-0-0_095086_2018-09-27_final
2018-09-29 09:39:21	ga_ls8c_ard_3-0-0_093086_2018-09-29_final
2018-09-30 10:22:13	ga_ls8c_ard_3-0-0_100085_2018-09-30_final
2018-10-29 09:51:54	ga_ls8c_ard_3-0-0_095086_2018-10-29_final
2018-10-31 09:39:32	ga_ls8c_ard_3-0-0_093086_2018-10-31_final
2019-01-03 11:17:59	ga_ls8c_ard_3-0-0_109085_2019-01-03_final
2020-03-05 09:21:01	ga_ls8c_ard_3-1-0_090086_2020-03-04_final
2020-03-06 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-03-06_final
2020-03-29 10:10:15	ga_ls8c_ard_3-1-0_098086_2020-03-29_final
2020-03-30 09:14:38	ga_ls8c_ard_3-1-0_089086_2020-03-29_final
2020-03-31 09:57:53	ga_ls8c_ard_3-1-0_096086_2020-03-31_final
2020-04-06 09:20:45	ga_ls8c_ard_3-1-0_090086_2020-04-05_final
2020-04-07 10:04:00	ga_ls8c_ard_3-1-0_097086_2020-04-07_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-05-31 11:05:14	ga_ls8c_ard_3-1-0_107085_2020-05-31_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
2020-06-03 09:57:41	ga_ls8c_ard_3-1-0_096086_2020-06-03_final
2020-06-03 11:36:11	ga_ls8c_ard_3-1-0_112085_2020-06-03_final
2020-06-05 09:45:21	ga_ls8c_ard_3-1-0_094086_2020-06-05_final
2020-06-05 11:23:50	ga_ls8c_ard_3-1-0_110085_2020-06-05_final
2020-06-07 09:33:01	ga_ls8c_ard_3-1-0_092086_2020-06-07_final
2020-06-09 09:20:17	ga_ls8c_ard_3-1-0_090085_2020-06-08_final
2020-06-09 09:20:40	ga_ls8c_ard_3-1-0_090086_2020-06-08_final
2020-06-12 09:51:36	ga_ls8c_ard_3-1-0_095086_2020-06-12_final
2020-06-12 11:30:05	ga_ls8c_ard_3-1-0_111085_2020-06-12_final
2020-06-14 09:39:16	ga_ls8c_ard_3-1-0_093086_2020-06-14_final
2020-06-14 11:17:45	ga_ls8c_ard_3-1-0_109085_2020-06-14_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