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
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 11:05:44	ga_ls8c_ard_3-0-0_107085_2015-09-23_final
2015-10-16 09:33:03	ga_ls8c_ard_3-0-0_092085_2015-10-16_final
2015-10-16 09:33:27	ga_ls8c_ard_3-0-0_092086_2015-10-16_final
2015-10-16 11:11:56	ga_ls8c_ard_3-0-0_108085_2015-10-16_final
2015-10-21 09:51:39	ga_ls8c_ard_3-0-0_095085_2015-10-21_final
2015-10-21 09:52:03	ga_ls8c_ard_3-0-0_095086_2015-10-21_final
2015-10-21 11:30:32	ga_ls8c_ard_3-0-0_111085_2015-10-21_final
2015-10-23 09:39:18	ga_ls8c_ard_3-0-0_093085_2015-10-23_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-23 11:18:11	ga_ls8c_ard_3-0-0_109085_2015-10-23_final
2015-10-25 09:26:57	ga_ls8c_ard_3-0-0_091085_2015-10-24_final
2015-10-25 09:27:21	ga_ls8c_ard_3-0-0_091086_2015-10-24_final
2018-12-07 09:57:40	ga_ls8c_ard_3-0-0_096085_2018-12-07_final
2018-12-07 09:58:04	ga_ls8c_ard_3-0-0_096086_2018-12-07_final
2018-12-07 11:36:33	ga_ls8c_ard_3-0-0_112085_2018-12-07_final
2018-12-09 09:45:18	ga_ls8c_ard_3-0-0_094085_2018-12-09_final
2018-12-09 09:45:42	ga_ls8c_ard_3-0-0_094086_2018-12-09_final
2019-01-08 09:58:02	ga_ls8c_ard_3-0-0_096086_2019-01-08_final
2019-01-08 11:36:31	ga_ls8c_ard_3-0-0_112085_2019-01-08_final
2019-01-10 09:45:16	ga_ls8c_ard_3-0-0_094085_2019-01-10_final
2019-01-10 09:45:40	ga_ls8c_ard_3-0-0_094086_2019-01-10_final
2019-01-10 11:24:09	ga_ls8c_ard_3-0-0_110085_2019-01-10_final
2019-02-13 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-02-13_final
2019-02-13 11:11:41	ga_ls8c_ard_3-0-0_108085_2019-02-13_final
2019-03-01 09:33:08	ga_ls8c_ard_3-0-0_092086_2019-03-01_final
2019-03-02 10:15:59	ga_ls8c_ard_3-0-0_099085_2019-03-02_final
2019-03-03 09:20:22	ga_ls8c_ard_3-0-0_090085_2019-03-02_final
2019-03-03 09:20:46	ga_ls8c_ard_3-0-0_090086_2019-03-02_final
2019-03-04 10:04:01	ga_ls8c_ard_3-0-0_097086_2019-03-04_final
2019-04-12 10:09:37	ga_ls8c_ard_3-1-0_098085_2019-04-12_final
2019-04-12 10:10:01	ga_ls8c_ard_3-1-0_098086_2019-04-12_final
2019-04-13 09:14:23	ga_ls8c_ard_3-1-0_089086_2019-04-12_final
2019-05-30 10:09:51	ga_ls8c_ard_3-0-0_098085_2019-05-30_final
2019-05-30 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-05-30_final
2019-05-31 09:14:14	ga_ls8c_ard_3-0-0_089085_2019-05-30_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_final
2019-06-08 10:03:44	ga_ls8c_ard_3-0-0_097085_2019-06-08_final
2019-06-08 10:04:08	ga_ls8c_ard_3-0-0_097086_2019-06-08_final
2019-06-10 09:51:23	ga_ls8c_ard_3-0-0_095085_2019-06-10_final
2019-06-10 09:51:47	ga_ls8c_ard_3-0-0_095086_2019-06-10_final
2019-06-10 11:30:16	ga_ls8c_ard_3-0-0_111085_2019-06-10_final
2019-06-12 09:39:02	ga_ls8c_ard_3-1-0_093085_2019-06-12_final
2019-06-12 09:39:26	ga_ls8c_ard_3-1-0_093086_2019-06-12_final
2019-06-12 11:17:55	ga_ls8c_ard_3-1-0_109085_2019-06-12_final
2019-06-13 10:22:18	ga_ls8c_ard_3-1-0_100085_2019-06-13_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 11:30:40	ga_ls8c_ard_3-1-0_111085_2019-08-29_final
2019-08-31 09:39:26	ga_ls8c_ard_3-1-0_093085_2019-08-31_final
2019-08-31 09:39:50	ga_ls8c_ard_3-1-0_093086_2019-08-31_final
2019-08-31 11:18:19	ga_ls8c_ard_3-1-0_109085_2019-08-31_final
2019-09-01 10:22:42	ga_ls8c_ard_3-1-0_100085_2019-09-01_final
2019-09-14 09:52:15	ga_ls8c_ard_3-1-0_095086_2019-09-14_final
2019-09-16 09:39:31	ga_ls8c_ard_3-1-0_093085_2019-09-16_final
2019-09-16 09:39:55	ga_ls8c_ard_3-1-0_093086_2019-09-16_final
2019-09-16 11:18:24	ga_ls8c_ard_3-1-0_109085_2019-09-16_final
2019-09-17 10:22:47	ga_ls8c_ard_3-1-0_100085_2019-09-17_final
2019-10-16 09:51:59	ga_ls8c_ard_3-1-0_095085_2019-10-16_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2019-10-16 11:30:52	ga_ls8c_ard_3-1-0_111085_2019-10-16_final
2019-10-18 09:39:37	ga_ls8c_ard_3-1-0_093085_2019-10-18_final
2019-10-18 09:40:01	ga_ls8c_ard_3-1-0_093086_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
2021-08-20 11:18:17	ga_ls8c_ard_3-2-0_109085_2021-08-20_final
2021-08-21 10:22:40	ga_ls8c_ard_3-2-0_100085_2021-08-21_final
2021-08-22 09:27:27	ga_ls8c_ard_3-2-0_091086_2021-08-21_final
2021-08-22 11:05:56	ga_ls8c_ard_3-2-0_107085_2021-08-22_final
2021-08-23 10:10:43	ga_ls8c_ard_3-2-0_098086_2021-08-23_final
2021-08-24 09:14:42	ga_ls8c_ard_3-2-0_089085_2021-08-23_final
2021-08-24 09:15:06	ga_ls8c_ard_3-2-0_089086_2021-08-23_final
2021-08-25 09:58:22	ga_ls8c_ard_3-2-0_096086_2021-08-25_final
2021-08-25 11:36:51	ga_ls8c_ard_3-2-0_112085_2021-08-25_final
2021-08-27 09:46:00	ga_ls8c_ard_3-2-0_094086_2021-08-27_final
2021-08-29 09:33:40	ga_ls8c_ard_3-2-0_092086_2021-08-29_final
2021-08-29 11:12:09	ga_ls8c_ard_3-2-0_108085_2021-08-29_final
2021-08-30 10:16:32	ga_ls8c_ard_3-2-0_099085_2021-08-30_final
2021-10-03 10:04:19	ga_ls8c_ard_3-2-0_097085_2021-10-03_final
2021-10-03 10:04:43	ga_ls8c_ard_3-2-0_097086_2021-10-03_final
2021-10-05 09:51:58	ga_ls8c_ard_3-2-0_095085_2021-10-05_final
2021-10-05 09:52:22	ga_ls8c_ard_3-2-0_095086_2021-10-05_final
2021-10-05 11:30:51	ga_ls8c_ard_3-2-0_111085_2021-10-05_final
2021-10-07 09:39:37	ga_ls8c_ard_3-2-0_093085_2021-10-07_final
2021-10-07 09:40:01	ga_ls8c_ard_3-2-0_093086_2021-10-07_final
2021-10-07 11:18:30	ga_ls8c_ard_3-2-0_109085_2021-10-07_final
2021-10-10 10:10:32	ga_ls8c_ard_3-2-0_098085_2021-10-10_final
2021-10-10 10:10:56	ga_ls8c_ard_3-2-0_098086_2021-10-10_final
2021-10-11 09:14:55	ga_ls8c_ard_3-2-0_089085_2021-10-10_final
2021-10-11 09:15:19	ga_ls8c_ard_3-2-0_089086_2021-10-10_final
2021-10-19 10:04:23	ga_ls8c_ard_3-2-0_097085_2021-10-19_final
2021-10-19 10:04:47	ga_ls8c_ard_3-2-0_097086_2021-10-19_final
2021-10-21 09:52:25	ga_ls8c_ard_3-2-0_095086_2021-10-21_final
2021-10-21 11:30:54	ga_ls8c_ard_3-2-0_111085_2021-10-21_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-10-23 09:40:04	ga_ls8c_ard_3-2-0_093086_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
2021-10-25 09:27:18	ga_ls8c_ard_3-2-0_091085_2021-10-24_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_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