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
2013-09-13 09:53:11	ga_ls8c_ard_3-0-0_095084_2013-09-13_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2013-09-13 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-09-13_final
2013-09-15 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-09-15_final
2013-09-15 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-09-15_final
2013-09-15 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-09-15_final
2013-09-16 10:24:04	ga_ls8c_ard_3-0-0_100084_2013-09-16_final
2013-09-17 11:07:19	ga_ls8c_ard_3-0-0_107084_2013-09-17_final
2013-11-30 10:05:10	ga_ls8c_ard_3-0-0_097084_2013-11-30_final
2013-11-30 10:05:34	ga_ls8c_ard_3-0-0_097085_2013-11-30_final
2013-12-02 09:53:13	ga_ls8c_ard_3-0-0_095085_2013-12-02_final
2013-12-27 09:46:27	ga_ls8c_ard_3-0-0_094084_2013-12-27_final
2013-12-27 09:46:51	ga_ls8c_ard_3-0-0_094085_2013-12-27_final
2013-12-29 09:34:28	ga_ls8c_ard_3-0-0_092085_2013-12-29_final
2013-12-29 11:12:57	ga_ls8c_ard_3-0-0_108084_2013-12-29_final
2014-02-01 09:21:45	ga_ls8c_ard_3-0-0_090085_2014-01-31_final
2014-02-02 10:05:00	ga_ls8c_ard_3-0-0_097085_2014-02-02_final
2014-02-04 09:52:37	ga_ls8c_ard_3-0-0_095085_2014-02-04_final
2014-02-04 11:31:06	ga_ls8c_ard_3-0-0_111084_2014-02-04_final
2014-02-06 09:40:13	ga_ls8c_ard_3-0-0_093085_2014-02-06_final
2014-02-06 11:18:42	ga_ls8c_ard_3-0-0_109084_2014-02-06_final
2019-11-28 09:32:58	ga_ls8c_ard_3-1-0_092084_2019-11-28_final
2019-11-28 09:33:22	ga_ls8c_ard_3-1-0_092085_2019-11-28_final
2019-11-28 11:11:51	ga_ls8c_ard_3-1-0_108084_2019-11-28_final
2019-11-28 11:12:15	ga_ls8c_ard_3-1-0_108085_2019-11-28_final
2019-11-29 10:16:14	ga_ls8c_ard_3-1-0_099084_2019-11-29_final
2019-11-29 10:16:38	ga_ls8c_ard_3-1-0_099085_2019-11-29_final
2019-11-30 09:20:37	ga_ls8c_ard_3-1-0_090084_2019-11-29_final
2019-11-30 09:21:01	ga_ls8c_ard_3-1-0_090085_2019-11-29_final
2019-11-30 10:59:30	ga_ls8c_ard_3-1-0_106084_2019-11-30_final
2019-12-01 10:03:52	ga_ls8c_ard_3-1-0_097084_2019-12-01_final
2019-12-01 10:04:16	ga_ls8c_ard_3-1-0_097085_2019-12-01_final
2019-12-02 09:08:15	ga_ls8c_ard_3-1-0_088084_2019-12-01_final
2021-01-21 09:08:04	ga_ls8c_ard_3-2-0_088084_2021-01-20_final
2021-01-22 09:51:44	ga_ls8c_ard_3-2-0_095085_2021-01-22_final
2021-01-22 11:30:13	ga_ls8c_ard_3-2-0_111084_2021-01-22_final
2021-01-22 11:30:37	ga_ls8c_ard_3-2-0_111085_2021-01-22_final
2021-02-04 09:20:25	ga_ls8c_ard_3-2-0_090084_2021-02-03_final
2021-02-04 09:20:49	ga_ls8c_ard_3-2-0_090085_2021-02-03_final
2021-02-05 10:04:04	ga_ls8c_ard_3-2-0_097085_2021-02-05_final
2021-02-05 11:42:33	ga_ls8c_ard_3-2-0_113084_2021-02-05_final
2021-02-06 09:08:03	ga_ls8c_ard_3-2-0_088084_2021-02-05_final
2021-02-07 09:51:18	ga_ls8c_ard_3-2-0_095084_2021-02-07_final
2021-02-07 09:51:42	ga_ls8c_ard_3-2-0_095085_2021-02-07_final
2021-02-07 11:30:11	ga_ls8c_ard_3-2-0_111084_2021-02-07_final
2021-02-07 11:30:35	ga_ls8c_ard_3-2-0_111085_2021-02-07_final
2021-02-10 10:22:36	ga_ls8c_ard_3-2-0_100085_2021-02-10_final
2021-02-11 09:26:58	ga_ls8c_ard_3-2-0_091085_2021-02-10_final
2021-02-11 11:05:27	ga_ls8c_ard_3-2-0_107084_2021-02-11_final
2021-02-11 11:05:51	ga_ls8c_ard_3-2-0_107085_2021-02-11_final
2021-02-12 10:09:49	ga_ls8c_ard_3-2-0_098084_2021-02-12_final
2021-02-12 10:10:13	ga_ls8c_ard_3-2-0_098085_2021-02-12_final
2021-02-13 09:14:12	ga_ls8c_ard_3-2-0_089084_2021-02-12_final
2021-02-13 09:14:36	ga_ls8c_ard_3-2-0_089085_2021-02-12_final
2021-02-14 09:57:27	ga_ls8c_ard_3-2-0_096084_2021-02-14_final
2021-02-14 09:57:51	ga_ls8c_ard_3-2-0_096085_2021-02-14_final
2021-02-14 11:36:20	ga_ls8c_ard_3-2-0_112084_2021-02-14_final
2021-02-14 11:36:44	ga_ls8c_ard_3-2-0_112085_2021-02-14_final
2021-02-16 09:45:29	ga_ls8c_ard_3-2-0_094085_2021-02-16_final
2021-02-16 11:24:22	ga_ls8c_ard_3-2-0_110085_2021-02-16_final
2021-02-23 09:51:37	ga_ls8c_ard_3-2-0_095085_2021-02-23_final
2021-02-23 11:30:30	ga_ls8c_ard_3-2-0_111085_2021-02-23_final
2021-02-25 09:38:51	ga_ls8c_ard_3-2-0_093084_2021-02-25_final
2021-02-25 09:39:15	ga_ls8c_ard_3-2-0_093085_2021-02-25_final
2021-02-25 11:18:08	ga_ls8c_ard_3-2-0_109085_2021-02-25_final
2021-02-26 10:22:06	ga_ls8c_ard_3-2-0_100084_2021-02-26_final
2021-02-26 10:22:30	ga_ls8c_ard_3-2-0_100085_2021-02-26_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-02-27 11:05:21	ga_ls8c_ard_3-2-0_107084_2021-02-27_final
2021-02-27 11:05:45	ga_ls8c_ard_3-2-0_107085_2021-02-27_final
2021-05-07 09:44:30	ga_ls8c_ard_3-2-0_094084_2021-05-07_final
2021-05-07 09:44:54	ga_ls8c_ard_3-2-0_094085_2021-05-07_final
2021-05-07 11:23:23	ga_ls8c_ard_3-2-0_110084_2021-05-07_final
2021-05-07 11:23:47	ga_ls8c_ard_3-2-0_110085_2021-05-07_final
2021-05-08 10:27:46	ga_ls8c_ard_3-2-0_101084_2021-05-08_final
2021-05-09 09:32:10	ga_ls8c_ard_3-2-0_092084_2021-05-09_final
2021-05-09 09:32:34	ga_ls8c_ard_3-2-0_092085_2021-05-09_final
2021-05-09 11:11:03	ga_ls8c_ard_3-2-0_108084_2021-05-09_final
2021-05-09 11:11:27	ga_ls8c_ard_3-2-0_108085_2021-05-09_final
2021-05-10 10:15:26	ga_ls8c_ard_3-2-0_099084_2021-05-10_final
2021-05-10 10:15:50	ga_ls8c_ard_3-2-0_099085_2021-05-10_final
2021-09-05 11:17:58	ga_ls8c_ard_3-2-0_109084_2021-09-05_final
2021-09-05 11:18:22	ga_ls8c_ard_3-2-0_109085_2021-09-05_final
2021-09-06 10:22:21	ga_ls8c_ard_3-2-0_100084_2021-09-06_final
2021-09-06 10:22:45	ga_ls8c_ard_3-2-0_100085_2021-09-06_final
2021-09-07 09:26:44	ga_ls8c_ard_3-2-0_091084_2021-09-06_final
2021-09-08 10:10:00	ga_ls8c_ard_3-2-0_098084_2021-09-08_final
2021-09-08 10:10:24	ga_ls8c_ard_3-2-0_098085_2021-09-08_final
2021-09-09 09:14:23	ga_ls8c_ard_3-2-0_089084_2021-09-08_final
2021-09-09 09:14:46	ga_ls8c_ard_3-2-0_089085_2021-09-08_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
2022-04-28 09:20:03	ga_ls8c_ard_3-2-1_090084_2022-04-27_final
2022-04-28 09:20:27	ga_ls8c_ard_3-2-1_090085_2022-04-27_final
2022-04-29 10:03:18	ga_ls8c_ard_3-2-1_097084_2022-04-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years