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
2013-12-07 10:04:58	ga_ls8c_ard_3-0-0_098068_2013-12-07_final
2013-12-08 10:48:13	ga_ls8c_ard_3-0-0_105068_2013-12-08_final
2013-12-19 10:29:32	ga_ls8c_ard_3-0-0_102068_2013-12-19_final
2013-12-22 09:21:33	ga_ls8c_ard_3-0-0_091068_2013-12-21_final
2013-12-30 10:10:57	ga_ls8c_ard_3-0-0_099068_2013-12-30_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2014-01-07 09:21:24	ga_ls8c_ard_3-0-0_091068_2014-01-06_final
2014-01-08 10:04:39	ga_ls8c_ard_3-0-0_098068_2014-01-08_final
2014-01-09 10:47:53	ga_ls8c_ard_3-0-0_105068_2014-01-09_final
2014-01-23 09:21:13	ga_ls8c_ard_3-0-0_091068_2014-01-22_final
2014-01-24 10:04:29	ga_ls8c_ard_3-0-0_098068_2014-01-24_final
2014-03-20 10:09:58	ga_ls8c_ard_3-0-0_099068_2014-03-20_final
2014-03-21 10:53:12	ga_ls8c_ard_3-0-0_106068_2014-03-21_final
2014-05-12 10:27:39	ga_ls8c_ard_3-0-0_102068_2014-05-12_final
2014-05-13 09:32:01	ga_ls8c_ard_3-0-0_093068_2014-05-13_final
2014-05-13 11:10:54	ga_ls8c_ard_3-0-0_109068_2014-05-13_final
2017-04-02 10:27:38	ga_ls8c_ard_3-0-0_102068_2017-04-02_final
2017-04-03 09:32:01	ga_ls8c_ard_3-0-0_093068_2017-04-03_final
2017-04-03 11:10:54	ga_ls8c_ard_3-0-0_109068_2017-04-03_final
2017-04-04 10:15:16	ga_ls8c_ard_3-0-0_100068_2017-04-04_final
2017-04-05 09:19:38	ga_ls8c_ard_3-0-0_091068_2017-04-04_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-04 09:56:57	ga_ls8c_ard_3-0-0_097068_2017-07-04_final
2017-07-05 10:40:13	ga_ls8c_ard_3-0-0_104068_2017-07-05_final
2017-07-06 11:23:29	ga_ls8c_ard_3-0-0_111068_2017-07-06_final
2017-07-07 10:27:52	ga_ls8c_ard_3-0-0_102068_2017-07-07_final
2017-07-08 09:32:15	ga_ls8c_ard_3-0-0_093068_2017-07-08_final
2017-07-08 11:11:08	ga_ls8c_ard_3-0-0_109068_2017-07-08_final
2017-07-09 10:15:30	ga_ls8c_ard_3-0-0_100068_2017-07-09_final
2017-07-10 09:19:53	ga_ls8c_ard_3-0-0_091068_2017-07-09_final
2017-07-14 10:34:04	ga_ls8c_ard_3-0-0_103068_2017-07-14_final
2017-07-15 09:38:03	ga_ls8c_ard_3-0-0_094067_2017-07-15_final
2017-07-15 11:16:56	ga_ls8c_ard_3-0-0_110067_2017-07-15_final
2017-07-15 11:17:20	ga_ls8c_ard_3-0-0_110068_2017-07-15_final
2017-07-16 10:21:43	ga_ls8c_ard_3-0-0_101068_2017-07-16_final
2017-07-17 09:26:06	ga_ls8c_ard_3-0-0_092068_2017-07-16_final
2019-09-16 11:11:37	ga_ls8c_ard_3-1-0_109068_2019-09-16_final
2019-09-17 10:15:36	ga_ls8c_ard_3-1-0_100067_2019-09-17_final
2019-09-17 10:16:00	ga_ls8c_ard_3-1-0_100068_2019-09-17_final
2019-09-18 09:20:23	ga_ls8c_ard_3-1-0_091068_2019-09-17_final
2019-09-18 10:59:16	ga_ls8c_ard_3-1-0_107068_2019-09-18_final
2019-10-14 09:57:09	ga_ls8c_ard_3-1-0_097067_2019-10-14_final
2019-10-14 09:57:33	ga_ls8c_ard_3-1-0_097068_2019-10-14_final
2019-10-15 10:40:49	ga_ls8c_ard_3-1-0_104068_2019-10-15_final
2019-10-16 11:24:05	ga_ls8c_ard_3-1-0_111068_2019-10-16_final
2019-11-26 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-11-26_final
2019-11-26 11:17:50	ga_ls8c_ard_3-1-0_110068_2019-11-26_final
2019-11-27 10:22:13	ga_ls8c_ard_3-1-0_101068_2019-11-27_final
2019-11-28 09:26:11	ga_ls8c_ard_3-1-0_092067_2019-11-27_final
2019-11-28 09:26:35	ga_ls8c_ard_3-1-0_092068_2019-11-27_final
2019-11-28 11:05:28	ga_ls8c_ard_3-1-0_108068_2019-11-28_final
2019-12-01 09:57:29	ga_ls8c_ard_3-1-0_097068_2019-12-01_final
2019-12-02 10:40:45	ga_ls8c_ard_3-1-0_104068_2019-12-02_final
2019-12-03 11:24:01	ga_ls8c_ard_3-1-0_111068_2019-12-03_final
2023-02-03 10:46:59	ga_ls8c_ard_3-2-1_105068_2023-02-03_final
2023-03-05 10:59:00	ga_ls8c_ard_3-2-1_107068_2023-03-05_final
2023-03-06 10:03:22	ga_ls8c_ard_3-2-1_098068_2023-03-06_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-13 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-03-13_final
2023-03-14 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-03-14_final
2023-03-15 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-03-15_final
2023-03-16 10:40:23	ga_ls8c_ard_3-2-1_104068_2023-03-16_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-18 10:28:00	ga_ls8c_ard_3-2-1_102068_2023-03-18_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2024-01-19 10:59:05	ga_ls8c_ard_3-2-1_107068_2024-01-19_final
2024-01-20 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-01-20_final
2024-01-27 10:09:32	ga_ls8c_ard_3-2-1_099068_2024-01-27_final
2024-01-28 10:52:48	ga_ls8c_ard_3-2-1_106068_2024-01-28_final
2024-01-29 09:57:12	ga_ls8c_ard_3-2-1_097068_2024-01-29_final
2024-01-30 10:40:28	ga_ls8c_ard_3-2-1_104068_2024-01-30_final
2024-01-31 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-01-31_final
2024-02-01 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-01_final
2024-02-04 10:59:04	ga_ls8c_ard_3-2-1_107068_2024-02-04_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_final
2024-02-06 10:46:43	ga_ls8c_ard_3-2-1_105068_2024-02-06_final
2024-02-08 10:34:21	ga_ls8c_ard_3-2-1_103068_2024-02-08_final
2024-02-12 10:09:37	ga_ls8c_ard_3-2-1_099068_2024-02-12_final
2024-02-13 10:52:53	ga_ls8c_ard_3-2-1_106068_2024-02-13_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_final
2024-02-15 10:40:30	ga_ls8c_ard_3-2-1_104068_2024-02-15_final
2024-02-16 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-02-16_final
2024-02-17 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-17_final
2024-02-20 10:59:02	ga_ls8c_ard_3-2-1_107068_2024-02-20_final
2024-04-09 10:02:33	ga_ls8c_ard_3-2-1_098067_2024-04-09_final
2024-04-09 10:02:57	ga_ls8c_ard_3-2-1_098068_2024-04-09_final
2024-04-10 10:46:12	ga_ls8c_ard_3-2-1_105068_2024-04-10_final
2024-04-12 10:33:49	ga_ls8c_ard_3-2-1_103068_2024-04-12_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_final
2024-04-17 10:52:18	ga_ls8c_ard_3-2-1_106068_2024-04-17_final
2024-04-18 09:56:39	ga_ls8c_ard_3-2-1_097068_2024-04-18_final
2024-04-21 10:27:32	ga_ls8c_ard_3-2-1_102068_2024-04-21_final
2024-04-25 10:02:48	ga_ls8c_ard_3-2-1_098068_2024-04-25_final
2024-04-26 10:46:03	ga_ls8c_ard_3-2-1_105068_2024-04-26_final
2024-04-28 10:33:39	ga_ls8c_ard_3-2-1_103068_2024-04-28_final
2024-05-03 10:52:07	ga_ls8c_ard_3-2-1_106068_2024-05-03_final
2024-05-06 11:23:00	ga_ls8c_ard_3-2-1_111068_2024-05-06_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