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
2014-08-01 09:39:12	ga_ls8c_ard_3-0-0_093085_2014-08-01_final
2014-08-02 10:22:04	ga_ls8c_ard_3-0-0_100084_2014-08-02_final
2014-08-03 09:26:52	ga_ls8c_ard_3-0-0_091085_2014-08-02_final
2014-08-04 10:10:08	ga_ls8c_ard_3-0-0_098085_2014-08-04_final
2014-08-05 09:14:31	ga_ls8c_ard_3-0-0_089085_2014-08-04_final
2014-08-17 09:39:18	ga_ls8c_ard_3-1-0_093085_2014-08-17_final
2014-08-18 10:22:10	ga_ls8c_ard_3-0-0_100084_2014-08-18_final
2014-08-19 09:26:57	ga_ls8c_ard_3-0-0_091085_2014-08-18_final
2014-08-19 11:05:26	ga_ls8c_ard_3-0-0_107084_2014-08-19_final
2014-08-20 10:10:12	ga_ls8c_ard_3-0-0_098085_2014-08-20_final
2014-08-21 09:14:35	ga_ls8c_ard_3-0-0_089085_2014-08-20_final
2014-08-22 09:57:51	ga_ls8c_ard_3-0-0_096085_2014-08-22_final
2014-08-24 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-10-07 10:10:20	ga_ls8c_ard_3-0-0_098085_2014-10-07_final
2014-10-08 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-10-07_final
2014-10-09 09:57:34	ga_ls8c_ard_3-0-0_096084_2014-10-09_final
2014-10-09 09:57:58	ga_ls8c_ard_3-0-0_096085_2014-10-09_final
2014-10-11 09:45:37	ga_ls8c_ard_3-0-0_094085_2014-10-11_final
2014-10-13 09:33:16	ga_ls8c_ard_3-0-0_092085_2014-10-13_final
2014-10-16 10:04:11	ga_ls8c_ard_3-0-0_097085_2014-10-16_final
2014-10-18 09:51:50	ga_ls8c_ard_3-0-0_095085_2014-10-18_final
2014-10-31 09:20:51	ga_ls8c_ard_3-0-0_090085_2014-10-30_final
2014-11-01 10:04:08	ga_ls8c_ard_3-0-0_097085_2014-11-01_final
2014-11-03 09:51:47	ga_ls8c_ard_3-0-0_095085_2014-11-03_final
2014-11-14 09:33:16	ga_ls8c_ard_3-0-0_092085_2014-11-14_final
2014-11-16 09:20:54	ga_ls8c_ard_3-0-0_090085_2014-11-15_final
2014-11-17 10:04:09	ga_ls8c_ard_3-0-0_097085_2014-11-17_final
2014-11-19 09:51:46	ga_ls8c_ard_3-0-0_095085_2014-11-19_final
2014-11-26 09:57:58	ga_ls8c_ard_3-0-0_096085_2014-11-26_final
2014-11-28 09:45:36	ga_ls8c_ard_3-0-0_094085_2014-11-28_final
2014-11-30 09:33:15	ga_ls8c_ard_3-0-0_092085_2014-11-30_final
2014-12-02 09:20:53	ga_ls8c_ard_3-0-0_090085_2014-12-01_final
2014-12-03 10:04:08	ga_ls8c_ard_3-0-0_097085_2014-12-03_final
2014-12-05 09:51:45	ga_ls8c_ard_3-0-0_095085_2014-12-05_final
2014-12-14 09:45:30	ga_ls8c_ard_3-0-0_094085_2014-12-14_final
2014-12-16 09:33:10	ga_ls8c_ard_3-0-0_092085_2014-12-16_final
2014-12-18 09:20:49	ga_ls8c_ard_3-0-0_090085_2014-12-17_final
2014-12-28 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-28_final
2014-12-30 09:45:27	ga_ls8c_ard_3-0-0_094085_2014-12-30_final
2017-05-15 10:15:44	ga_ls8c_ard_3-0-0_099085_2017-05-15_final
2017-05-16 09:20:08	ga_ls8c_ard_3-0-0_090085_2017-05-15_final
2017-06-29 09:45:11	ga_ls8c_ard_3-0-0_094085_2017-06-29_final
2017-06-29 11:23:40	ga_ls8c_ard_3-0-0_110084_2017-06-29_final
2017-06-29 11:24:04	ga_ls8c_ard_3-0-0_110085_2017-06-29_final
2017-07-01 09:32:50	ga_ls8c_ard_3-0-0_092085_2017-07-01_final
2017-07-01 11:11:19	ga_ls8c_ard_3-0-0_108084_2017-07-01_final
2017-07-01 11:11:43	ga_ls8c_ard_3-0-0_108085_2017-07-01_final
2017-07-02 10:15:42	ga_ls8c_ard_3-0-0_099084_2017-07-02_final
2017-07-02 10:16:06	ga_ls8c_ard_3-0-0_099085_2017-07-02_final
2017-07-03 09:20:28	ga_ls8c_ard_3-0-0_090085_2017-07-02_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2022-08-19 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-08-19_final
2022-08-19 10:04:29	ga_ls8c_ard_3-2-1_097085_2022-08-19_final
2022-08-21 09:52:08	ga_ls8c_ard_3-2-1_095085_2022-08-21_final
2022-08-23 09:39:46	ga_ls8c_ard_3-2-1_093085_2022-08-23_final
2022-09-06 09:52:09	ga_ls8c_ard_3-2-1_095085_2022-09-06_final
2022-09-08 09:39:49	ga_ls8c_ard_3-2-1_093085_2022-09-08_final
2022-09-10 09:27:28	ga_ls8c_ard_3-2-1_091085_2022-09-09_final
2022-09-11 10:10:44	ga_ls8c_ard_3-2-1_098085_2022-09-11_final
2022-09-12 09:14:43	ga_ls8c_ard_3-2-1_089084_2022-09-11_final
2022-09-12 09:15:07	ga_ls8c_ard_3-2-1_089085_2022-09-11_final
2022-09-13 09:58:23	ga_ls8c_ard_3-2-1_096085_2022-09-13_final
2022-09-15 09:46:02	ga_ls8c_ard_3-2-1_094085_2022-09-15_final
2022-09-15 11:24:32	ga_ls8c_ard_3-2-1_110084_2022-09-15_final
2022-09-15 11:24:56	ga_ls8c_ard_3-2-1_110085_2022-09-15_final
2022-09-17 09:33:41	ga_ls8c_ard_3-2-1_092085_2022-09-17_final
2022-09-18 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-09-18_final
2022-09-19 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-09-18_final
2022-09-20 10:04:36	ga_ls8c_ard_3-2-1_097085_2022-09-20_final
2022-09-22 09:52:14	ga_ls8c_ard_3-2-1_095085_2022-09-22_final
2022-09-22 11:30:44	ga_ls8c_ard_3-2-1_111084_2022-09-22_final
2022-09-24 09:39:53	ga_ls8c_ard_3-2-1_093085_2022-09-24_final
2022-09-27 10:10:47	ga_ls8c_ard_3-2-1_098085_2022-09-27_final
2022-09-29 09:58:25	ga_ls8c_ard_3-2-1_096085_2022-09-29_final
2022-10-01 09:46:03	ga_ls8c_ard_3-2-1_094085_2022-10-01_final
2022-10-01 11:24:56	ga_ls8c_ard_3-2-1_110085_2022-10-01_final
2022-10-08 09:52:10	ga_ls8c_ard_3-2-1_095085_2022-10-08_final
2022-10-13 10:10:38	ga_ls8c_ard_3-2-1_098085_2022-10-13_final
2022-10-14 09:15:00	ga_ls8c_ard_3-2-1_089085_2022-10-13_final
2022-10-15 09:58:17	ga_ls8c_ard_3-2-1_096085_2022-10-15_final
2022-10-17 09:45:57	ga_ls8c_ard_3-2-1_094085_2022-10-17_final
2022-10-17 11:24:50	ga_ls8c_ard_3-2-1_110085_2022-10-17_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_final
2022-11-07 10:04:35	ga_ls8c_ard_3-2-1_097085_2022-11-07_final
2022-11-15 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-14_final
2022-11-16 09:58:18	ga_ls8c_ard_3-2-1_096085_2022-11-16_final
2022-11-18 09:45:55	ga_ls8c_ard_3-2-1_094085_2022-11-18_final
2022-11-18 11:24:48	ga_ls8c_ard_3-2-1_110085_2022-11-18_final
2022-11-20 09:33:35	ga_ls8c_ard_3-2-1_092085_2022-11-20_final
2022-11-21 10:16:51	ga_ls8c_ard_3-2-1_099085_2022-11-21_final
2022-11-22 09:21:14	ga_ls8c_ard_3-2-1_090085_2022-11-21_final
2022-11-23 10:04:30	ga_ls8c_ard_3-2-1_097085_2022-11-23_final
2022-11-25 09:52:09	ga_ls8c_ard_3-2-1_095085_2022-11-25_final
2022-12-04 09:45:58	ga_ls8c_ard_3-2-1_094085_2022-12-04_final
2023-01-17 10:10:25	ga_ls8c_ard_3-2-1_098085_2023-01-17_final
2023-01-18 09:14:47	ga_ls8c_ard_3-2-1_089085_2023-01-17_final
2023-01-19 09:58:04	ga_ls8c_ard_3-2-1_096085_2023-01-19_final
2023-01-21 09:45:44	ga_ls8c_ard_3-2-1_094085_2023-01-21_final
2023-01-21 11:24:37	ga_ls8c_ard_3-2-1_110085_2023-01-21_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