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
2015-04-07 09:32:26	ga_ls8c_ard_3-0-0_092085_2015-04-07_final
2015-04-08 10:15:41	ga_ls8c_ard_3-0-0_099085_2015-04-08_final
2015-04-09 09:20:04	ga_ls8c_ard_3-0-0_090085_2015-04-08_final
2015-06-01 09:38:21	ga_ls8c_ard_3-0-0_093085_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
2015-06-03 09:26:01	ga_ls8c_ard_3-0-0_091085_2015-06-02_final
2015-06-03 11:04:54	ga_ls8c_ard_3-0-0_107085_2015-06-03_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
2018-05-17 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
2019-07-12 09:51:32	ga_ls8c_ard_3-1-0_095085_2019-07-12_final
2019-07-12 11:30:25	ga_ls8c_ard_3-1-0_111085_2019-07-12_final
2019-07-14 09:39:10	ga_ls8c_ard_3-1-0_093085_2019-07-14_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
2019-07-16 09:26:49	ga_ls8c_ard_3-1-0_091085_2019-07-15_final
2019-07-16 11:05:42	ga_ls8c_ard_3-1-0_107085_2019-07-16_final
2019-07-21 09:45:23	ga_ls8c_ard_3-1-0_094085_2019-07-21_final
2019-07-21 11:24:16	ga_ls8c_ard_3-1-0_110085_2019-07-21_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-07-23 11:11:31	ga_ls8c_ard_3-1-0_108084_2019-07-23_final
2019-07-23 11:11:55	ga_ls8c_ard_3-1-0_108085_2019-07-23_final
2019-08-06 09:45:30	ga_ls8c_ard_3-1-0_094085_2019-08-06_final
2019-08-06 11:24:23	ga_ls8c_ard_3-1-0_110085_2019-08-06_final
2019-08-08 09:33:09	ga_ls8c_ard_3-1-0_092085_2019-08-08_final
2019-08-08 11:12:02	ga_ls8c_ard_3-1-0_108085_2019-08-08_final
2019-08-09 10:16:25	ga_ls8c_ard_3-1-0_099085_2019-08-09_final
2019-08-10 09:20:48	ga_ls8c_ard_3-1-0_090085_2019-08-09_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-20 09:57:56	ga_ls8c_ard_3-1-0_096085_2019-08-20_final
2019-08-20 11:36:49	ga_ls8c_ard_3-1-0_112085_2019-08-20_final
2019-08-29 09:51:47	ga_ls8c_ard_3-1-0_095085_2019-08-29_final
2019-08-29 11:30:40	ga_ls8c_ard_3-1-0_111085_2019-08-29_final
2019-09-30 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-09-30_final
2019-09-30 11:30:50	ga_ls8c_ard_3-1-0_111085_2019-09-30_final
2019-10-02 09:39:35	ga_ls8c_ard_3-1-0_093085_2019-10-02_final
2019-10-02 11:18:28	ga_ls8c_ard_3-1-0_109085_2019-10-02_final
2019-10-03 10:22:51	ga_ls8c_ard_3-1-0_100085_2019-10-03_final
2019-10-04 09:27:14	ga_ls8c_ard_3-1-0_091085_2019-10-03_final
2019-10-04 11:06:07	ga_ls8c_ard_3-1-0_107085_2019-10-04_final
2019-10-12 10:16:42	ga_ls8c_ard_3-1-0_099085_2019-10-12_final
2019-10-13 09:21:05	ga_ls8c_ard_3-1-0_090085_2019-10-12_final
2019-10-18 09:39:37	ga_ls8c_ard_3-1-0_093085_2019-10-18_final
2019-10-18 11:18:31	ga_ls8c_ard_3-1-0_109085_2019-10-18_final
2019-10-19 10:22:53	ga_ls8c_ard_3-1-0_100085_2019-10-19_final
2019-10-22 09:14:54	ga_ls8c_ard_3-1-0_089085_2019-10-21_final
2019-10-23 09:58:10	ga_ls8c_ard_3-1-0_096085_2019-10-23_final
2019-10-23 11:37:03	ga_ls8c_ard_3-1-0_112085_2019-10-23_final
2019-10-25 09:45:48	ga_ls8c_ard_3-1-0_094085_2019-10-25_final
2019-10-25 11:24:41	ga_ls8c_ard_3-1-0_110085_2019-10-25_final
2019-11-17 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-11-17_final
2019-11-17 11:30:49	ga_ls8c_ard_3-1-0_111085_2019-11-17_final
2019-11-19 09:39:34	ga_ls8c_ard_3-1-0_093085_2019-11-19_final
2019-11-19 11:18:27	ga_ls8c_ard_3-1-0_109085_2019-11-19_final
2019-11-20 10:22:49	ga_ls8c_ard_3-1-0_100085_2019-11-20_final
2019-11-21 09:27:11	ga_ls8c_ard_3-1-0_091085_2019-11-20_final
2019-11-21 11:06:04	ga_ls8c_ard_3-1-0_107085_2019-11-21_final
2019-11-29 10:16:38	ga_ls8c_ard_3-1-0_099085_2019-11-29_final
2019-11-30 09:21:01	ga_ls8c_ard_3-1-0_090085_2019-11-29_final
2019-12-05 09:39:33	ga_ls8c_ard_3-1-0_093085_2019-12-05_final
2019-12-05 11:18:26	ga_ls8c_ard_3-1-0_109085_2019-12-05_final
2019-12-06 10:22:48	ga_ls8c_ard_3-1-0_100085_2019-12-06_final
2021-01-01 09:33:20	ga_ls8c_ard_3-2-0_092085_2021-01-01_final
2021-01-01 11:12:13	ga_ls8c_ard_3-2-0_108085_2021-01-01_final
2021-01-02 10:16:35	ga_ls8c_ard_3-2-0_099085_2021-01-02_final
2021-01-04 10:04:13	ga_ls8c_ard_3-2-0_097085_2021-01-04_final
2021-01-06 09:51:50	ga_ls8c_ard_3-2-0_095085_2021-01-06_final
2021-01-06 11:30:43	ga_ls8c_ard_3-2-0_111085_2021-01-06_final
2021-01-11 10:10:20	ga_ls8c_ard_3-2-0_098085_2021-01-11_final
2021-01-12 09:14:43	ga_ls8c_ard_3-2-0_089085_2021-01-11_final
2021-01-13 09:57:58	ga_ls8c_ard_3-2-0_096085_2021-01-13_final
2021-01-13 11:36:51	ga_ls8c_ard_3-2-0_112085_2021-01-13_final
2021-01-15 09:45:35	ga_ls8c_ard_3-2-0_094085_2021-01-15_final
2021-01-19 09:20:50	ga_ls8c_ard_3-2-0_090085_2021-01-18_final
2021-01-20 10:04:06	ga_ls8c_ard_3-2-0_097085_2021-01-20_final
2021-01-22 09:51:44	ga_ls8c_ard_3-2-0_095085_2021-01-22_final
2021-01-22 11:30:37	ga_ls8c_ard_3-2-0_111085_2021-01-22_final
2021-01-24 09:39:22	ga_ls8c_ard_3-2-0_093085_2021-01-24_final
2021-01-24 11:18:15	ga_ls8c_ard_3-2-0_109085_2021-01-24_final
2021-01-25 10:22:38	ga_ls8c_ard_3-2-0_100085_2021-01-25_final
2021-01-26 09:27:01	ga_ls8c_ard_3-2-0_091085_2021-01-25_final
2021-01-26 11:05:54	ga_ls8c_ard_3-2-0_107085_2021-01-26_final
2021-01-27 10:10:16	ga_ls8c_ard_3-2-0_098085_2021-01-27_final
2021-01-28 09:14:39	ga_ls8c_ard_3-2-0_089085_2021-01-27_final
2021-01-29 09:57:54	ga_ls8c_ard_3-2-0_096085_2021-01-29_final
2021-01-29 11:36:47	ga_ls8c_ard_3-2-0_112085_2021-01-29_final
2021-01-31 09:45:33	ga_ls8c_ard_3-2-0_094085_2021-01-31_final
2021-01-31 11:24:26	ga_ls8c_ard_3-2-0_110085_2021-01-31_final
2021-02-02 09:33:11	ga_ls8c_ard_3-2-0_092085_2021-02-02_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-02-03 10:16:26	ga_ls8c_ard_3-2-0_099085_2021-02-03_final
2021-02-04 09:20:49	ga_ls8c_ard_3-2-0_090085_2021-02-03_final
2021-02-05 10:04:04	ga_ls8c_ard_3-2-0_097085_2021-02-05_final
2021-02-23 11:30:30	ga_ls8c_ard_3-2-0_111085_2021-02-23_final
2023-11-07 09:33:13	ga_ls8c_ard_3-2-1_092085_2023-11-07_final
2023-11-08 10:16:28	ga_ls8c_ard_3-2-1_099085_2023-11-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years