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
2015-07-06 10:09:35	ga_ls8c_ard_3-0-0_098085_2015-07-06_final
2015-07-07 09:13:59	ga_ls8c_ard_3-0-0_089085_2015-07-06_final
2015-07-08 09:57:15	ga_ls8c_ard_3-0-0_096085_2015-07-08_final
2015-07-08 11:36:08	ga_ls8c_ard_3-0-0_112085_2015-07-08_final
2015-08-07 10:09:45	ga_ls8c_ard_3-0-0_098085_2015-08-07_final
2015-08-08 09:14:09	ga_ls8c_ard_3-0-0_089085_2015-08-07_final
2015-08-09 09:57:25	ga_ls8c_ard_3-0-0_096085_2015-08-09_final
2015-08-09 11:36:18	ga_ls8c_ard_3-0-0_112085_2015-08-09_final
2015-08-18 09:51:19	ga_ls8c_ard_3-0-0_095085_2015-08-18_final
2015-08-18 11:29:49	ga_ls8c_ard_3-0-0_111084_2015-08-18_final
2015-08-18 11:30:13	ga_ls8c_ard_3-0-0_111085_2015-08-18_final
2015-08-23 10:09:54	ga_ls8c_ard_3-0-0_098085_2015-08-23_final
2015-08-24 09:14:17	ga_ls8c_ard_3-0-0_089085_2015-08-23_final
2015-08-25 09:57:33	ga_ls8c_ard_3-0-0_096085_2015-08-25_final
2015-08-25 11:36:02	ga_ls8c_ard_3-0-0_112084_2015-08-25_final
2015-08-25 11:36:26	ga_ls8c_ard_3-0-0_112085_2015-08-25_final
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-08-31 09:20:30	ga_ls8c_ard_3-0-0_090085_2015-08-30_final
2015-09-01 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-09-01_final
2015-11-04 10:04:04	ga_ls8c_ard_3-0-0_097085_2015-11-04_final
2015-11-06 09:51:42	ga_ls8c_ard_3-0-0_095085_2015-11-06_final
2015-11-06 11:30:11	ga_ls8c_ard_3-0-0_111084_2015-11-06_final
2015-11-06 11:30:35	ga_ls8c_ard_3-0-0_111085_2015-11-06_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2015-11-22 09:51:44	ga_ls8c_ard_3-0-0_095085_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 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
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 11:05:54	ga_ls8c_ard_3-0-0_107085_2015-11-26_final
2015-11-27 10:10:17	ga_ls8c_ard_3-0-0_098085_2015-11-27_final
2015-11-28 09:14:40	ga_ls8c_ard_3-0-0_089085_2015-11-27_final
2015-11-29 09:57:55	ga_ls8c_ard_3-0-0_096085_2015-11-29_final
2015-11-29 11:36:48	ga_ls8c_ard_3-0-0_112085_2015-11-29_final
2018-02-19 09:26:39	ga_ls8c_ard_3-0-0_091085_2018-02-18_final
2018-02-19 11:05:32	ga_ls8c_ard_3-0-0_107085_2018-02-19_final
2018-02-20 10:09:54	ga_ls8c_ard_3-0-0_098085_2018-02-20_final
2018-02-21 09:14:17	ga_ls8c_ard_3-0-0_089085_2018-02-20_final
2018-02-22 09:57:32	ga_ls8c_ard_3-0-0_096085_2018-02-22_final
2018-02-22 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-02-22_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-03-31 10:15:46	ga_ls8c_ard_3-0-0_099085_2018-03-31_final
2018-04-01 09:20:08	ga_ls8c_ard_3-0-0_090085_2018-03-31_final
2018-04-02 10:03:23	ga_ls8c_ard_3-0-0_097085_2018-04-02_final
2018-05-02 10:15:28	ga_ls8c_ard_3-0-0_099085_2018-05-02_final
2018-05-03 09:19:50	ga_ls8c_ard_3-0-0_090085_2018-05-02_final
2018-05-04 10:03:05	ga_ls8c_ard_3-0-0_097085_2018-05-04_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2018-07-08 09:07:03	ga_ls8c_ard_3-0-0_088084_2018-07-07_final
2018-07-09 09:50:43	ga_ls8c_ard_3-0-0_095085_2018-07-09_final
2018-07-09 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-07-09_final
2019-03-10 09:26:30	ga_ls8c_ard_3-1-0_091085_2019-03-09_final
2019-03-10 11:05:23	ga_ls8c_ard_3-1-0_107085_2019-03-10_final
2019-03-11 10:09:45	ga_ls8c_ard_3-1-0_098085_2019-03-11_final
2019-03-12 09:14:07	ga_ls8c_ard_3-1-0_089085_2019-03-11_final
2019-03-13 09:57:23	ga_ls8c_ard_3-1-0_096085_2019-03-13_final
2019-03-13 11:36:16	ga_ls8c_ard_3-1-0_112085_2019-03-13_final
2019-04-09 09:38:44	ga_ls8c_ard_3-1-0_093085_2019-04-09_final
2019-04-09 11:17:37	ga_ls8c_ard_3-1-0_109085_2019-04-09_final
2019-04-10 10:21:59	ga_ls8c_ard_3-1-0_100085_2019-04-10_final
2019-04-11 09:26:22	ga_ls8c_ard_3-1-0_091085_2019-04-10_final
2019-04-11 11:05:15	ga_ls8c_ard_3-1-0_107085_2019-04-11_final
2019-04-27 09:26:16	ga_ls8c_ard_3-0-0_091085_2019-04-26_final
2019-04-27 11:04:45	ga_ls8c_ard_3-0-0_107084_2019-04-27_final
2019-04-27 11:05:09	ga_ls8c_ard_3-0-0_107085_2019-04-27_final
2019-04-28 10:09:32	ga_ls8c_ard_3-0-0_098085_2019-04-28_final
2019-04-29 09:13:31	ga_ls8c_ard_3-0-0_089084_2019-04-28_final
2019-04-29 09:13:55	ga_ls8c_ard_3-0-0_089085_2019-04-28_final
2019-04-30 09:57:11	ga_ls8c_ard_3-0-0_096085_2019-04-30_final
2019-04-30 11:35:40	ga_ls8c_ard_3-0-0_112084_2019-04-30_final
2019-04-30 11:36:04	ga_ls8c_ard_3-0-0_112085_2019-04-30_final
2019-06-14 09:26:41	ga_ls8c_ard_3-1-0_091085_2019-06-13_final
2019-06-14 11:05:34	ga_ls8c_ard_3-1-0_107085_2019-06-14_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-16 09:14:20	ga_ls8c_ard_3-1-0_089085_2019-06-15_final
2019-06-17 09:57:36	ga_ls8c_ard_3-1-0_096085_2019-06-17_final
2019-06-17 11:36:30	ga_ls8c_ard_3-1-0_112085_2019-06-17_final
2021-04-23 11:11:34	ga_ls8c_ard_3-2-0_108085_2021-04-23_final
2021-04-24 10:15:56	ga_ls8c_ard_3-2-0_099085_2021-04-24_final
2021-04-25 09:20:18	ga_ls8c_ard_3-2-0_090085_2021-04-24_final
2021-04-26 10:03:33	ga_ls8c_ard_3-2-0_097085_2021-04-26_final
2021-04-30 11:17:40	ga_ls8c_ard_3-2-0_109085_2021-04-30_final
2021-05-01 10:22:02	ga_ls8c_ard_3-2-0_100085_2021-05-01_final
2021-05-02 09:26:24	ga_ls8c_ard_3-2-0_091085_2021-05-01_final
2021-05-02 11:05:17	ga_ls8c_ard_3-2-0_107085_2021-05-02_final
2021-05-03 10:09:39	ga_ls8c_ard_3-2-0_098085_2021-05-03_final
2021-10-17 10:16:44	ga_ls8c_ard_3-2-0_099085_2021-10-17_final
2021-10-18 09:21:07	ga_ls8c_ard_3-2-0_090085_2021-10-17_final
2021-10-19 10:04:23	ga_ls8c_ard_3-2-0_097085_2021-10-19_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2021-10-24 10:22:56	ga_ls8c_ard_3-2-0_100085_2021-10-24_final
2021-10-28 09:58:12	ga_ls8c_ard_3-2-0_096085_2021-10-28_final
2021-10-28 11:37:05	ga_ls8c_ard_3-2-0_112085_2021-10-28_final
2021-10-30 09:45:50	ga_ls8c_ard_3-2-0_094085_2021-10-30_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