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
2013-05-28 09:28:55	ga_ls8c_ard_3-0-0_091085_2013-05-27_final
2013-05-31 09:59:50	ga_ls8c_ard_3-0-0_096085_2013-05-31_final
2013-06-02 09:47:28	ga_ls8c_ard_3-0-0_094085_2013-06-02_final
2013-06-15 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-06-14_final
2013-06-16 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-06-16_final
2013-08-30 09:41:17	ga_ls8c_ard_3-0-0_093085_2013-08-30_final
2013-09-01 09:28:55	ga_ls8c_ard_3-0-0_091085_2013-08-31_final
2013-09-03 09:16:09	ga_ls8c_ard_3-0-0_089084_2013-09-02_final
2013-09-03 09:16:33	ga_ls8c_ard_3-0-0_089085_2013-09-02_final
2013-11-21 10:11:45	ga_ls8c_ard_3-0-0_098085_2013-11-21_final
2013-11-23 09:59:21	ga_ls8c_ard_3-0-0_096085_2013-11-23_final
2013-11-25 09:47:01	ga_ls8c_ard_3-0-0_094085_2013-11-25_final
2014-05-04 09:45:05	ga_ls8c_ard_3-0-0_094085_2014-05-04_final
2014-05-06 09:32:41	ga_ls8c_ard_3-0-0_092085_2014-05-06_final
2014-06-21 09:45:08	ga_ls8c_ard_3-0-0_094085_2014-06-21_final
2014-06-21 11:23:37	ga_ls8c_ard_3-0-0_110084_2014-06-21_final
2015-01-20 10:03:56	ga_ls8c_ard_3-0-0_097085_2015-01-20_final
2015-01-22 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-01-22_final
2015-02-21 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-02-21_final
2015-02-23 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-02-23_final
2015-02-23 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-02-23_final
2015-03-09 10:03:37	ga_ls8c_ard_3-0-0_097085_2015-03-09_final
2015-03-11 09:51:14	ga_ls8c_ard_3-0-0_095085_2015-03-11_final
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2015-03-22 09:32:36	ga_ls8c_ard_3-0-0_092085_2015-03-22_final
2015-03-22 11:11:29	ga_ls8c_ard_3-0-0_108085_2015-03-22_final
2015-03-23 10:15:51	ga_ls8c_ard_3-0-0_099085_2015-03-23_final
2015-03-24 09:20:14	ga_ls8c_ard_3-0-0_090085_2015-03-23_final
2015-03-25 10:03:29	ga_ls8c_ard_3-0-0_097085_2015-03-25_final
2015-03-27 09:51:05	ga_ls8c_ard_3-0-0_095085_2015-03-27_final
2015-03-27 11:29:58	ga_ls8c_ard_3-0-0_111085_2015-03-27_final
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
2015-04-17 10:09:31	ga_ls8c_ard_3-0-0_098085_2015-04-17_final
2015-04-18 09:13:53	ga_ls8c_ard_3-0-0_089085_2015-04-17_final
2015-04-19 09:57:09	ga_ls8c_ard_3-0-0_096085_2015-04-19_final
2015-04-19 11:36:02	ga_ls8c_ard_3-0-0_112085_2015-04-19_final
2015-05-03 10:09:20	ga_ls8c_ard_3-0-0_098085_2015-05-03_final
2015-05-04 09:13:41	ga_ls8c_ard_3-0-0_089085_2015-05-03_final
2015-05-05 09:56:56	ga_ls8c_ard_3-0-0_096085_2015-05-05_final
2015-05-12 10:03:00	ga_ls8c_ard_3-0-0_097085_2015-05-12_final
2015-05-14 09:50:36	ga_ls8c_ard_3-0-0_095085_2015-05-14_final
2015-05-14 11:29:29	ga_ls8c_ard_3-0-0_111085_2015-05-14_final
2022-01-23 10:04:08	ga_ls8c_ard_3-2-1_097085_2022-01-23_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
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-05-01 09:50:59	ga_ls8c_ard_3-2-1_095084_2022-05-01_final
2022-05-01 09:51:23	ga_ls8c_ard_3-2-1_095085_2022-05-01_final
2022-05-01 11:29:52	ga_ls8c_ard_3-2-1_111084_2022-05-01_final
2022-05-03 09:39:03	ga_ls8c_ard_3-2-1_093085_2022-05-03_final
2022-05-04 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-05-04_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
2022-05-06 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
2022-05-07 09:14:22	ga_ls8c_ard_3-2-1_089085_2022-05-06_final
2022-05-12 09:32:34	ga_ls8c_ard_3-2-1_092084_2022-05-12_final
2022-05-12 09:32:57	ga_ls8c_ard_3-2-1_092085_2022-05-12_final
2022-05-12 11:11:27	ga_ls8c_ard_3-2-1_108084_2022-05-12_final
2022-05-13 10:15:50	ga_ls8c_ard_3-2-1_099084_2022-05-13_final
2022-05-13 10:16:14	ga_ls8c_ard_3-2-1_099085_2022-05-13_final
2022-05-14 09:20:37	ga_ls8c_ard_3-2-1_090085_2022-05-13_final
2022-05-28 11:11:28	ga_ls8c_ard_3-2-1_108084_2022-05-28_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-05-29 10:16:15	ga_ls8c_ard_3-2-1_099085_2022-05-29_final
2022-06-04 09:38:52	ga_ls8c_ard_3-2-1_093084_2022-06-04_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-05 10:22:09	ga_ls8c_ard_3-2-1_100084_2022-06-05_final
2022-06-06 09:26:32	ga_ls8c_ard_3-2-1_091084_2022-06-05_final
2022-06-06 09:26:56	ga_ls8c_ard_3-2-1_091085_2022-06-05_final
2022-06-07 10:10:13	ga_ls8c_ard_3-2-1_098085_2022-06-07_final
2022-06-08 09:14:36	ga_ls8c_ard_3-2-1_089085_2022-06-07_final
2022-06-09 09:57:53	ga_ls8c_ard_3-2-1_096085_2022-06-09_final
2022-06-09 11:36:22	ga_ls8c_ard_3-2-1_112084_2022-06-09_final
2022-06-11 09:45:08	ga_ls8c_ard_3-2-1_094084_2022-06-11_final
2022-06-11 09:45:32	ga_ls8c_ard_3-2-1_094085_2022-06-11_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-06-11 11:24:25	ga_ls8c_ard_3-2-1_110085_2022-06-11_final
2022-06-13 09:33:12	ga_ls8c_ard_3-2-1_092085_2022-06-13_final
2022-06-13 11:11:41	ga_ls8c_ard_3-2-1_108084_2022-06-13_final
2023-10-27 09:51:48	ga_ls8c_ard_3-2-1_095085_2023-10-27_final
2023-10-29 09:39:03	ga_ls8c_ard_3-2-1_093084_2023-10-29_final
2023-10-29 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-10-29_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-10-31 11:05:34	ga_ls8c_ard_3-2-1_107084_2023-10-31_final
2023-11-01 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-01_final
2023-11-02 09:14:19	ga_ls8c_ard_3-2-1_089084_2023-11-01_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-10 10:04:04	ga_ls8c_ard_3-2-1_097085_2023-11-10_final
2023-11-10 11:42:33	ga_ls8c_ard_3-2-1_113084_2023-11-10_final
2023-11-12 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-11-12_final
2023-11-12 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-11-12_final
2023-11-14 09:39:01	ga_ls8c_ard_3-2-1_093084_2023-11-14_final
2023-11-14 09:39:25	ga_ls8c_ard_3-2-1_093085_2023-11-14_final
2023-11-15 10:22:17	ga_ls8c_ard_3-2-1_100084_2023-11-15_final
2023-11-16 09:26:40	ga_ls8c_ard_3-2-1_091084_2023-11-15_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