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
2013-06-06 10:55:14	ga_ls8c_ard_3-0-0_106069_2013-06-06_final
2013-06-14 11:43:49	ga_ls8c_ard_3-0-0_114067_2013-06-14_final
2013-11-02 11:16:16	ga_ls8c_ard_3-0-0_109076_2013-11-02_final
2013-11-12 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-11-12_final
2013-12-04 11:13:21	ga_ls8c_ard_3-0-0_109069_2013-12-04_final
2013-12-15 10:54:20	ga_ls8c_ard_3-0-0_106068_2013-12-15_final
2013-12-18 11:25:59	ga_ls8c_ard_3-0-0_111070_2013-12-18_final
2013-12-22 11:01:37	ga_ls8c_ard_3-0-0_107071_2013-12-22_final
2014-01-09 10:51:29	ga_ls8c_ard_3-0-0_105077_2014-01-09_final
2014-04-04 11:08:32	ga_ls8c_ard_3-0-0_108076_2014-04-04_final
2014-06-28 11:25:49	ga_ls8c_ard_3-0-0_111074_2014-06-28_final
2014-08-28 10:53:16	ga_ls8c_ard_3-0-0_106069_2014-08-28_final
2014-11-07 11:00:00	ga_ls8c_ard_3-0-0_107070_2014-11-07_final
2015-02-27 11:01:57	ga_ls8c_ard_3-0-0_107076_2015-02-27_final
2015-05-14 11:24:42	ga_ls8c_ard_3-0-0_111073_2015-05-14_final
2015-07-01 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-07-01_final
2015-08-29 11:10:08	ga_ls8c_ard_3-0-0_108081_2015-08-29_final
2016-01-27 11:14:12	ga_ls8c_ard_3-0-0_109075_2016-01-27_final
2016-06-05 10:59:27	ga_ls8c_ard_3-0-0_107070_2016-06-05_final
2016-08-13 11:17:57	ga_ls8c_ard_3-0-0_110069_2016-08-13_final
2016-09-20 10:46:15	ga_ls8c_ard_3-0-0_104082_2016-09-20_final
2017-08-19 11:52:28	ga_ls8c_ard_3-0-0_115078_2017-08-19_final
2017-10-07 10:53:27	ga_ls8c_ard_3-0-0_106069_2017-10-07_final
2017-10-19 11:19:00	ga_ls8c_ard_3-0-0_110071_2017-10-19_final
2018-03-25 10:51:42	ga_ls8c_ard_3-0-0_105082_2018-03-25_final
2018-04-26 10:51:24	ga_ls8c_ard_3-0-0_105082_2018-04-26_final
2018-09-24 10:58:03	ga_ls8c_ard_3-0-0_106082_2018-09-24_final
2019-03-06 11:28:32	ga_ls8c_ard_3-0-0_111081_2019-03-06_final
2019-05-22 10:55:37	ga_ls8c_ard_3-0-0_106076_2019-05-22_final
2019-07-12 11:26:01	ga_ls8c_ard_3-1-0_111074_2019-07-12_final
2019-10-20 11:01:46	ga_ls8c_ard_3-1-0_107074_2019-10-20_final
2019-11-29 11:52:43	ga_ls8c_ard_3-1-0_115078_2019-11-29_final
2019-12-28 11:19:21	ga_ls8c_ard_3-1-0_110072_2019-12-28_final
2020-02-09 11:05:24	ga_ls8c_ard_3-1-0_107084_2020-02-09_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-04-09 11:24:32	ga_ls8c_ard_3-1-0_111071_2020-04-09_final
2020-04-23 11:37:11	ga_ls8c_ard_3-1-0_113072_2020-04-23_final
2020-06-02 10:49:19	ga_ls8c_ard_3-1-0_105076_2020-06-02_final
2020-06-05 11:23:02	ga_ls8c_ard_3-1-0_110083_2020-06-05_final
2020-08-24 11:17:12	ga_ls8c_ard_3-1-0_110067_2020-08-24_final
2020-08-27 11:52:07	ga_ls8c_ard_3-1-0_115077_2020-08-27_final
2020-09-09 11:18:31	ga_ls8c_ard_3-1-0_110070_2020-09-09_final
2020-09-20 11:00:02	ga_ls8c_ard_3-1-0_107070_2020-09-20_final
2020-10-02 11:24:00	ga_ls8c_ard_3-1-0_111068_2020-10-02_final
2020-11-28 11:23:02	ga_ls8c_ard_3-1-0_110081_2020-11-28_final
2020-12-13 10:35:00	ga_ls8c_ard_3-1-0_103069_2020-12-13_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-02-27 09:28:52	ga_ls8c_ard_3-2-0_091090_2021-02-26_final
2021-02-28 11:47:25	ga_ls8c_ard_3-2-0_114081_2021-02-28_final
2021-03-16 10:03:11	ga_ls8c_ard_3-2-0_098068_2021-03-16_final
2021-03-27 09:44:12	ga_ls8c_ard_3-2-0_095067_2021-03-27_final
2021-03-31 09:22:40	ga_ls8c_ard_3-2-0_091075_2021-03-30_final
2021-04-04 10:34:24	ga_ls8c_ard_3-2-0_103069_2021-04-04_final
2021-04-07 09:28:24	ga_ls8c_ard_3-2-0_092074_2021-04-06_final
2021-04-08 10:15:15	ga_ls8c_ard_3-2-0_099083_2021-04-08_final
2021-04-12 11:24:12	ga_ls8c_ard_3-2-0_111070_2021-04-12_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-05-30 11:23:25	ga_ls8c_ard_3-2-0_111068_2021-05-30_final
2021-06-01 11:17:04	ga_ls8c_ard_3-2-0_109083_2021-06-01_final
2021-08-06 09:26:34	ga_ls8c_ard_3-2-0_091084_2021-08-05_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-09-20 10:30:45	ga_ls8c_ard_3-2-0_102074_2021-09-20_final
2021-10-11 10:52:36	ga_ls8c_ard_3-2-0_105082_2021-10-11_final
2021-12-04 11:52:46	ga_ls8c_ard_3-2-0_115078_2021-12-04_final
2021-12-11 10:20:03	ga_ls8c_ard_3-2-1_100078_2021-12-11_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-02-16 10:49:28	ga_ls8c_ard_3-2-1_105075_2022-02-16_final
2022-03-14 11:25:38	ga_ls8c_ard_3-2-1_111073_2022-03-14_final
2022-03-20 10:49:41	ga_ls8c_ard_3-2-1_105076_2022-03-20_final
2022-04-27 10:09:18	ga_ls8c_ard_3-2-1_099068_2022-04-27_final
2022-05-06 10:02:48	ga_ls8c_ard_3-2-1_098067_2022-05-06_final
2022-05-14 10:58:42	ga_ls8c_ard_3-2-1_106083_2022-05-14_final
2022-07-16 11:52:13	ga_ls8c_ard_3-2-1_115077_2022-07-16_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-08-26 11:46:22	ga_ls8c_ard_3-2-1_114077_2022-08-26_final
2022-09-07 10:29:26	ga_ls8c_ard_3-2-1_102070_2022-09-07_final
2022-09-18 10:15:45	ga_ls8c_ard_3-2-1_099082_2022-09-18_final
2022-10-06 09:58:10	ga_ls8c_ard_3-2-1_097069_2022-10-06_final
2022-10-29 10:10:22	ga_ls8c_ard_3-2-1_098084_2022-10-29_final
2022-12-01 10:49:58	ga_ls8c_ard_3-2-1_105075_2022-12-01_final
2022-12-15 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-12-14_final
2023-01-08 11:52:48	ga_ls8c_ard_3-2-1_115078_2023-01-08_final
2023-02-19 10:47:36	ga_ls8c_ard_3-2-1_105070_2023-02-19_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-04-13 09:31:01	ga_ls8c_ard_3-2-1_092081_2023-04-13_final
2023-04-27 11:19:01	ga_ls8c_ard_3-2-1_110073_2023-04-27_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-06-02 10:55:17	ga_ls8c_ard_3-2-1_106076_2023-06-02_final
2023-06-11 10:48:50	ga_ls8c_ard_3-2-1_105075_2023-06-11_final
2023-06-24 10:18:23	ga_ls8c_ard_3-2-1_100076_2023-06-24_final
2023-07-03 10:15:09	ga_ls8c_ard_3-2-1_099083_2023-07-03_final
2023-08-15 11:34:58	ga_ls8c_ard_3-2-1_112081_2023-08-15_final
2023-10-02 09:58:18	ga_ls8c_ard_3-2-1_096086_2023-10-02_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-11-14 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-11-14_final
2023-12-23 11:19:19	ga_ls8c_ard_3-2-1_110072_2023-12-23_final
2023-12-30 09:46:58	ga_ls8c_ard_3-2-1_095073_2023-12-30_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_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