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
2016-10-21 10:03:54	ga_ls8c_ard_3-0-0_097084_2016-10-21_final
2016-10-21 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-10-21_final
2016-10-21 11:42:47	ga_ls8c_ard_3-0-0_113084_2016-10-21_final
2016-10-22 09:08:17	ga_ls8c_ard_3-0-0_088084_2016-10-21_final
2016-10-23 09:51:32	ga_ls8c_ard_3-0-0_095084_2016-10-23_final
2016-10-23 09:51:56	ga_ls8c_ard_3-0-0_095085_2016-10-23_final
2016-10-23 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-10-23_final
2016-10-23 11:30:49	ga_ls8c_ard_3-0-0_111085_2016-10-23_final
2016-10-28 10:10:05	ga_ls8c_ard_3-0-0_098084_2016-10-28_final
2016-10-28 10:10:29	ga_ls8c_ard_3-0-0_098085_2016-10-28_final
2016-10-29 09:14:28	ga_ls8c_ard_3-0-0_089084_2016-10-28_final
2016-10-29 09:14:52	ga_ls8c_ard_3-0-0_089085_2016-10-28_final
2016-10-30 09:57:43	ga_ls8c_ard_3-0-0_096084_2016-10-30_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2016-10-30 11:36:36	ga_ls8c_ard_3-0-0_112084_2016-10-30_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2016-12-24 10:03:47	ga_ls8c_ard_3-0-0_097084_2016-12-24_final
2016-12-24 10:04:11	ga_ls8c_ard_3-0-0_097085_2016-12-24_final
2016-12-24 11:42:40	ga_ls8c_ard_3-0-0_113084_2016-12-24_final
2016-12-25 09:08:10	ga_ls8c_ard_3-0-0_088084_2016-12-24_final
2016-12-26 09:51:26	ga_ls8c_ard_3-0-0_095084_2016-12-26_final
2016-12-26 09:51:50	ga_ls8c_ard_3-0-0_095085_2016-12-26_final
2016-12-26 11:30:19	ga_ls8c_ard_3-0-0_111084_2016-12-26_final
2016-12-26 11:30:43	ga_ls8c_ard_3-0-0_111085_2016-12-26_final
2017-03-07 09:57:11	ga_ls8c_ard_3-0-0_096084_2017-03-07_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-03-07_final
2020-06-01 10:09:14	ga_ls8c_ard_3-1-0_098084_2020-06-01_final
2020-06-01 10:09:38	ga_ls8c_ard_3-1-0_098085_2020-06-01_final
2020-06-02 09:13:37	ga_ls8c_ard_3-1-0_089084_2020-06-01_final
2020-06-02 09:14:01	ga_ls8c_ard_3-1-0_089085_2020-06-01_final
2020-06-03 09:56:54	ga_ls8c_ard_3-1-0_096084_2020-06-03_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-06-03 11:35:47	ga_ls8c_ard_3-1-0_112084_2020-06-03_final
2020-06-03 11:36:11	ga_ls8c_ard_3-1-0_112085_2020-06-03_final
2020-06-17 10:09:24	ga_ls8c_ard_3-1-0_098084_2020-06-17_final
2020-06-17 10:09:48	ga_ls8c_ard_3-1-0_098085_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-19 09:57:03	ga_ls8c_ard_3-1-0_096084_2020-06-19_final
2020-06-19 09:57:27	ga_ls8c_ard_3-1-0_096085_2020-06-19_final
2020-06-19 11:35:56	ga_ls8c_ard_3-1-0_112084_2020-06-19_final
2020-06-19 11:36:20	ga_ls8c_ard_3-1-0_112085_2020-06-19_final
2020-07-23 09:44:55	ga_ls8c_ard_3-1-0_094084_2020-07-23_final
2020-07-23 09:45:19	ga_ls8c_ard_3-1-0_094085_2020-07-23_final
2020-07-23 11:23:48	ga_ls8c_ard_3-1-0_110084_2020-07-23_final
2020-07-23 11:24:12	ga_ls8c_ard_3-1-0_110085_2020-07-23_final
2020-07-24 10:28:11	ga_ls8c_ard_3-1-0_101084_2020-07-24_final
2020-07-25 09:32:34	ga_ls8c_ard_3-1-0_092084_2020-07-25_final
2020-07-25 09:32:58	ga_ls8c_ard_3-1-0_092085_2020-07-25_final
2020-07-25 11:11:27	ga_ls8c_ard_3-1-0_108084_2020-07-25_final
2020-07-25 11:11:51	ga_ls8c_ard_3-1-0_108085_2020-07-25_final
2020-08-01 09:38:47	ga_ls8c_ard_3-1-0_093084_2020-08-01_final
2020-08-01 09:39:11	ga_ls8c_ard_3-1-0_093085_2020-08-01_final
2020-08-01 11:17:40	ga_ls8c_ard_3-1-0_109084_2020-08-01_final
2020-08-01 11:18:04	ga_ls8c_ard_3-1-0_109085_2020-08-01_final
2020-08-02 10:22:03	ga_ls8c_ard_3-1-0_100084_2020-08-02_final
2020-08-02 10:22:27	ga_ls8c_ard_3-1-0_100085_2020-08-02_final
2020-08-03 09:26:26	ga_ls8c_ard_3-1-0_091084_2020-08-02_final
2020-08-03 09:26:49	ga_ls8c_ard_3-1-0_091085_2020-08-02_final
2020-08-03 11:05:19	ga_ls8c_ard_3-1-0_107084_2020-08-03_final
2020-08-03 11:05:42	ga_ls8c_ard_3-1-0_107085_2020-08-03_final
2020-08-11 10:15:53	ga_ls8c_ard_3-1-0_099084_2020-08-11_final
2020-08-11 10:16:17	ga_ls8c_ard_3-1-0_099085_2020-08-11_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-08-12 09:20:40	ga_ls8c_ard_3-1-0_090085_2020-08-11_final
2020-08-12 10:59:09	ga_ls8c_ard_3-1-0_106084_2020-08-12_final
2020-08-13 10:03:32	ga_ls8c_ard_3-1-0_097084_2020-08-13_final
2020-08-13 10:03:56	ga_ls8c_ard_3-1-0_097085_2020-08-13_final
2020-08-13 11:42:26	ga_ls8c_ard_3-1-0_113084_2020-08-13_final
2020-08-21 09:14:11	ga_ls8c_ard_3-1-0_089084_2020-08-20_final
2020-08-21 09:14:34	ga_ls8c_ard_3-1-0_089085_2020-08-20_final
2020-08-22 09:57:27	ga_ls8c_ard_3-1-0_096084_2020-08-22_final
2020-08-22 09:57:51	ga_ls8c_ard_3-1-0_096085_2020-08-22_final
2020-08-22 11:36:20	ga_ls8c_ard_3-1-0_112084_2020-08-22_final
2020-08-22 11:36:44	ga_ls8c_ard_3-1-0_112085_2020-08-22_final
2020-08-26 09:32:46	ga_ls8c_ard_3-1-0_092084_2020-08-26_final
2020-08-26 09:33:09	ga_ls8c_ard_3-1-0_092085_2020-08-26_final
2020-08-27 10:16:02	ga_ls8c_ard_3-1-0_099084_2020-08-27_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_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
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-10-31 09:26:41	ga_ls8c_ard_3-2-1_091084_2023-10-30_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 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_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
2023-11-03 09:57:35	ga_ls8c_ard_3-2-1_096084_2023-11-03_final
2023-11-03 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-11-03_final
2023-11-03 11:36:28	ga_ls8c_ard_3-2-1_112084_2023-11-03_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-08 10:16:28	ga_ls8c_ard_3-2-1_099085_2023-11-08_final
2023-11-09 09:20:25	ga_ls8c_ard_3-2-1_090084_2023-11-08_final
2023-11-09 09:20:49	ga_ls8c_ard_3-2-1_090085_2023-11-08_final
2023-11-10 10:03:40	ga_ls8c_ard_3-2-1_097084_2023-11-10_final
2023-11-10 10:04:04	ga_ls8c_ard_3-2-1_097085_2023-11-10_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