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
2013-04-03 09:53:24	ga_ls8c_ard_3-0-0_095085_2013-04-03_final
2013-04-06 10:10:41	ga_ls8c_ard_3-0-0_098085_2013-04-06_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
2013-08-05 09:47:25	ga_ls8c_ard_3-0-0_094085_2013-08-05_final
2013-08-07 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-08-07_final
2013-08-21 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-08-21_final
2013-08-23 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-08-23_final
2013-09-18 10:12:05	ga_ls8c_ard_3-0-0_098085_2013-09-18_final
2013-09-19 09:16:27	ga_ls8c_ard_3-0-0_089085_2013-09-18_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
2013-11-27 09:34:40	ga_ls8c_ard_3-0-0_092085_2013-11-27_final
2013-11-29 09:22:18	ga_ls8c_ard_3-0-0_090085_2013-11-28_final
2013-11-30 10:05:34	ga_ls8c_ard_3-0-0_097085_2013-11-30_final
2014-01-25 09:15:38	ga_ls8c_ard_3-0-0_089085_2014-01-24_final
2014-03-10 09:39:47	ga_ls8c_ard_3-0-0_093085_2014-03-10_final
2014-03-14 09:15:02	ga_ls8c_ard_3-0-0_089085_2014-03-13_final
2014-03-15 09:58:17	ga_ls8c_ard_3-0-0_096085_2014-03-15_final
2014-03-17 09:45:54	ga_ls8c_ard_3-0-0_094085_2014-03-17_final
2014-03-29 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-03-29_final
2014-03-30 09:14:44	ga_ls8c_ard_3-0-0_089085_2014-03-29_final
2014-03-31 09:58:00	ga_ls8c_ard_3-0-0_096085_2014-03-31_final
2014-05-24 09:19:47	ga_ls8c_ard_3-0-0_090084_2014-05-23_final
2014-05-24 09:20:11	ga_ls8c_ard_3-0-0_090085_2014-05-23_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2014-06-01 10:09:44	ga_ls8c_ard_3-0-0_098085_2014-06-01_final
2014-06-02 09:13:43	ga_ls8c_ard_3-0-0_089084_2014-06-01_final
2014-06-02 09:14:07	ga_ls8c_ard_3-0-0_089085_2014-06-01_final
2014-06-03 09:57:24	ga_ls8c_ard_3-0-0_096085_2014-06-03_final
2014-06-10 10:03:14	ga_ls8c_ard_3-0-0_097084_2014-06-10_final
2014-06-10 10:03:38	ga_ls8c_ard_3-0-0_097085_2014-06-10_final
2014-06-12 09:50:53	ga_ls8c_ard_3-0-0_095084_2014-06-12_final
2014-06-12 09:51:17	ga_ls8c_ard_3-0-0_095085_2014-06-12_final
2014-06-12 11:29:46	ga_ls8c_ard_3-0-0_111084_2014-06-12_final
2014-06-26 10:03:16	ga_ls8c_ard_3-0-0_097084_2014-06-26_final
2014-06-26 10:03:40	ga_ls8c_ard_3-0-0_097085_2014-06-26_final
2014-06-28 09:50:55	ga_ls8c_ard_3-0-0_095084_2014-06-28_final
2014-06-28 09:51:19	ga_ls8c_ard_3-0-0_095085_2014-06-28_final
2017-03-25 09:45:02	ga_ls8c_ard_3-0-0_094085_2017-03-25_final
2017-03-25 11:23:55	ga_ls8c_ard_3-0-0_110085_2017-03-25_final
2017-03-27 09:32:39	ga_ls8c_ard_3-0-0_092085_2017-03-27_final
2017-03-27 11:11:32	ga_ls8c_ard_3-0-0_108085_2017-03-27_final
2017-03-28 10:15:55	ga_ls8c_ard_3-0-0_099085_2017-03-28_final
2017-03-29 09:20:17	ga_ls8c_ard_3-0-0_090085_2017-03-28_final
2017-04-03 09:38:48	ga_ls8c_ard_3-0-0_093085_2017-04-03_final
2017-04-03 11:17:41	ga_ls8c_ard_3-0-0_109085_2017-04-03_final
2017-04-04 10:22:03	ga_ls8c_ard_3-0-0_100085_2017-04-04_final
2017-04-29 10:15:37	ga_ls8c_ard_3-0-0_099085_2017-04-29_final
2017-04-30 09:19:35	ga_ls8c_ard_3-0-0_090084_2017-04-29_final
2017-04-30 09:19:59	ga_ls8c_ard_3-0-0_090085_2017-04-29_final
2017-05-01 10:03:14	ga_ls8c_ard_3-0-0_097085_2017-05-01_final
2017-05-02 09:07:12	ga_ls8c_ard_3-0-0_088084_2017-05-01_final
2017-05-03 09:50:28	ga_ls8c_ard_3-0-0_095084_2017-05-03_final
2017-05-03 09:50:52	ga_ls8c_ard_3-0-0_095085_2017-05-03_final
2017-05-03 11:29:45	ga_ls8c_ard_3-0-0_111085_2017-05-03_final
2017-06-29 09:44:47	ga_ls8c_ard_3-0-0_094084_2017-06-29_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
2017-06-30 10:28:03	ga_ls8c_ard_3-0-0_101084_2017-06-30_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
2017-07-04 10:03:20	ga_ls8c_ard_3-0-0_097084_2017-07-04_final
2017-07-04 10:03:44	ga_ls8c_ard_3-0-0_097085_2017-07-04_final
2017-07-05 09:07:43	ga_ls8c_ard_3-0-0_088084_2017-07-04_final
2017-07-06 09:50:59	ga_ls8c_ard_3-0-0_095084_2017-07-06_final
2017-07-06 09:51:23	ga_ls8c_ard_3-0-0_095085_2017-07-06_final
2017-07-06 11:29:52	ga_ls8c_ard_3-0-0_111084_2017-07-06_final
2017-07-06 11:30:16	ga_ls8c_ard_3-0-0_111085_2017-07-06_final
2017-07-15 09:45:14	ga_ls8c_ard_3-0-0_094085_2017-07-15_final
2017-07-15 11:24:07	ga_ls8c_ard_3-0-0_110085_2017-07-15_final
2017-07-16 10:28:06	ga_ls8c_ard_3-0-0_101084_2017-07-16_final
2022-10-03 09:33:40	ga_ls8c_ard_3-2-1_092085_2022-10-03_final
2022-10-04 10:16:56	ga_ls8c_ard_3-2-1_099085_2022-10-04_final
2022-10-05 09:21:18	ga_ls8c_ard_3-2-1_090085_2022-10-04_final
2022-10-06 10:04:33	ga_ls8c_ard_3-2-1_097085_2022-10-06_final
2022-10-08 09:52:10	ga_ls8c_ard_3-2-1_095085_2022-10-08_final
2022-10-10 09:39:47	ga_ls8c_ard_3-2-1_093085_2022-10-10_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-10-13 10:10:38	ga_ls8c_ard_3-2-1_098085_2022-10-13_final
2022-10-14 09:14:36	ga_ls8c_ard_3-2-1_089084_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
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-10-20 10:16:53	ga_ls8c_ard_3-2-1_099085_2022-10-20_final
2022-10-21 09:21:16	ga_ls8c_ard_3-2-1_090085_2022-10-20_final
2022-10-22 10:04:32	ga_ls8c_ard_3-2-1_097085_2022-10-22_final
2022-10-24 09:52:12	ga_ls8c_ard_3-2-1_095085_2022-10-24_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-29 10:10:46	ga_ls8c_ard_3-2-1_098085_2022-10-29_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