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
2015-12-22 10:03:42	ga_ls8c_ard_3-0-0_097084_2015-12-22_final
2015-12-22 10:04:06	ga_ls8c_ard_3-0-0_097085_2015-12-22_final
2015-12-22 11:42:35	ga_ls8c_ard_3-0-0_113084_2015-12-22_final
2015-12-23 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-22_final
2015-12-24 09:51:20	ga_ls8c_ard_3-0-0_095084_2015-12-24_final
2015-12-24 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2016-02-12 09:39:12	ga_ls8c_ard_3-0-0_093085_2016-02-12_final
2016-02-12 11:17:41	ga_ls8c_ard_3-0-0_109084_2016-02-12_final
2016-02-12 11:18:05	ga_ls8c_ard_3-0-0_109085_2016-02-12_final
2016-02-13 10:22:27	ga_ls8c_ard_3-0-0_100085_2016-02-13_final
2016-04-27 09:20:14	ga_ls8c_ard_3-0-0_090085_2016-04-26_final
2016-04-28 10:03:07	ga_ls8c_ard_3-0-0_097084_2016-04-28_final
2016-04-28 10:03:30	ga_ls8c_ard_3-0-0_097085_2016-04-28_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
2018-03-14 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
2018-04-24 09:26:06	ga_ls8c_ard_3-0-0_091085_2018-04-23_final
2018-04-24 11:04:59	ga_ls8c_ard_3-0-0_107085_2018-04-24_final
2018-05-15 09:44:26	ga_ls8c_ard_3-0-0_094085_2018-05-15_final
2018-05-15 11:23:19	ga_ls8c_ard_3-0-0_110085_2018-05-15_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
2018-07-18 09:44:12	ga_ls8c_ard_3-0-0_094084_2018-07-18_final
2018-07-18 09:44:36	ga_ls8c_ard_3-0-0_094085_2018-07-18_final
2018-07-18 11:23:05	ga_ls8c_ard_3-0-0_110084_2018-07-18_final
2018-07-18 11:23:29	ga_ls8c_ard_3-0-0_110085_2018-07-18_final
2018-07-19 10:27:28	ga_ls8c_ard_3-0-0_101084_2018-07-19_final
2018-07-20 09:31:51	ga_ls8c_ard_3-0-0_092084_2018-07-20_final
2018-07-20 09:32:15	ga_ls8c_ard_3-0-0_092085_2018-07-20_final
2018-07-20 11:10:44	ga_ls8c_ard_3-0-0_108084_2018-07-20_final
2018-07-20 11:11:08	ga_ls8c_ard_3-0-0_108085_2018-07-20_final
2018-07-21 10:15:07	ga_ls8c_ard_3-0-0_099084_2018-07-21_final
2018-07-21 10:15:31	ga_ls8c_ard_3-0-0_099085_2018-07-21_final
2018-07-22 09:19:30	ga_ls8c_ard_3-0-0_090084_2018-07-21_final
2018-07-22 09:19:54	ga_ls8c_ard_3-0-0_090085_2018-07-21_final
2018-07-22 10:58:23	ga_ls8c_ard_3-0-0_106084_2018-07-22_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
2021-03-06 11:11:29	ga_ls8c_ard_3-2-0_108084_2021-03-06_final
2021-03-06 11:11:53	ga_ls8c_ard_3-2-0_108085_2021-03-06_final
2021-03-07 10:16:15	ga_ls8c_ard_3-2-0_099085_2021-03-07_final
2021-03-08 09:20:37	ga_ls8c_ard_3-2-0_090085_2021-03-07_final
2021-03-09 10:03:52	ga_ls8c_ard_3-2-0_097085_2021-03-09_final
2021-03-11 09:51:29	ga_ls8c_ard_3-2-0_095085_2021-03-11_final
2021-03-11 11:30:22	ga_ls8c_ard_3-2-0_111085_2021-03-11_final
2021-03-17 09:14:20	ga_ls8c_ard_3-2-0_089085_2021-03-16_final
2021-03-18 09:57:35	ga_ls8c_ard_3-2-0_096085_2021-03-18_final
2021-03-18 11:36:29	ga_ls8c_ard_3-2-0_112085_2021-03-18_final
2021-03-20 09:45:14	ga_ls8c_ard_3-2-0_094085_2021-03-20_final
2021-03-20 11:24:07	ga_ls8c_ard_3-2-0_110085_2021-03-20_final
2021-03-22 09:32:52	ga_ls8c_ard_3-2-0_092085_2021-03-22_final
2021-03-22 11:11:45	ga_ls8c_ard_3-2-0_108085_2021-03-22_final
2021-03-23 10:16:07	ga_ls8c_ard_3-2-0_099085_2021-03-23_final
2021-03-27 09:51:23	ga_ls8c_ard_3-2-0_095085_2021-03-27_final
2021-03-31 09:26:39	ga_ls8c_ard_3-2-0_091085_2021-03-30_final
2021-03-31 11:05:32	ga_ls8c_ard_3-2-0_107085_2021-03-31_final
2021-04-01 10:09:54	ga_ls8c_ard_3-2-0_098085_2021-04-01_final
2021-04-02 09:14:17	ga_ls8c_ard_3-2-0_089085_2021-04-01_final
2021-06-03 09:26:38	ga_ls8c_ard_3-2-0_091085_2021-06-02_final
2021-06-04 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-06-04_final
2021-06-04 10:09:54	ga_ls8c_ard_3-2-0_098085_2021-06-04_final
2021-06-06 11:36:26	ga_ls8c_ard_3-2-0_112085_2021-06-06_final
2021-06-08 09:44:48	ga_ls8c_ard_3-2-0_094084_2021-06-08_final
2021-06-08 09:45:12	ga_ls8c_ard_3-2-0_094085_2021-06-08_final
2022-01-25 09:51:21	ga_ls8c_ard_3-2-1_095084_2022-01-25_final
2022-01-25 09:51:45	ga_ls8c_ard_3-2-1_095085_2022-01-25_final
2022-04-13 10:03:47	ga_ls8c_ard_3-2-1_097085_2022-04-13_final
2022-04-15 09:51:02	ga_ls8c_ard_3-2-1_095084_2022-04-15_final
2022-04-15 09:51:26	ga_ls8c_ard_3-2-1_095085_2022-04-15_final
2022-04-15 11:29:55	ga_ls8c_ard_3-2-1_111084_2022-04-15_final
2022-04-17 09:38:40	ga_ls8c_ard_3-2-1_093084_2022-04-17_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-17 11:17:33	ga_ls8c_ard_3-2-1_109084_2022-04-17_final
2022-04-18 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-04-18_final
2022-04-19 09:26:42	ga_ls8c_ard_3-2-1_091085_2022-04-18_final
2022-04-19 11:05:11	ga_ls8c_ard_3-2-1_107084_2022-04-19_final
2022-04-20 10:09:33	ga_ls8c_ard_3-2-1_098084_2022-04-20_final
2022-04-20 10:09:57	ga_ls8c_ard_3-2-1_098085_2022-04-20_final
2022-04-21 09:13:56	ga_ls8c_ard_3-2-1_089084_2022-04-20_final
2022-04-21 09:14:20	ga_ls8c_ard_3-2-1_089085_2022-04-20_final
2022-04-22 09:57:11	ga_ls8c_ard_3-2-1_096084_2022-04-22_final
2022-04-22 09:57:35	ga_ls8c_ard_3-2-1_096085_2022-04-22_final
2022-04-22 11:36:04	ga_ls8c_ard_3-2-1_112084_2022-04-22_final
2022-04-24 09:44:49	ga_ls8c_ard_3-2-1_094084_2022-04-24_final
2022-04-24 09:45:12	ga_ls8c_ard_3-2-1_094085_2022-04-24_final
2022-04-24 11:23:42	ga_ls8c_ard_3-2-1_110084_2022-04-24_final
2022-04-24 11:24:05	ga_ls8c_ard_3-2-1_110085_2022-04-24_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-05-05 09:26:42	ga_ls8c_ard_3-2-1_091085_2022-05-04_final
2022-05-05 11:05:12	ga_ls8c_ard_3-2-1_107084_2022-05-05_final
2022-05-06 10:09:35	ga_ls8c_ard_3-2-1_098084_2022-05-06_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-07 09:13:58	ga_ls8c_ard_3-2-1_089084_2022-05-06_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