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
2013-04-19 10:54:59	ga_ls8c_ard_3-0-0_106069_2013-04-19_final
2013-05-11 10:20:01	ga_ls8c_ard_3-0-0_100074_2013-05-11_final
2013-06-15 10:52:10	ga_ls8c_ard_3-0-0_105077_2013-06-15_final
2013-09-30 10:35:32	ga_ls8c_ard_3-0-0_102082_2013-09-30_final
2013-10-20 11:48:27	ga_ls8c_ard_3-0-0_114079_2013-10-20_final
2013-12-14 11:54:21	ga_ls8c_ard_3-0-0_115079_2013-12-14_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-03-26 11:17:36	ga_ls8c_ard_3-0-0_109083_2014-03-26_final
2014-07-17 10:16:47	ga_ls8c_ard_3-0-0_100071_2014-07-17_final
2014-07-17 10:19:58	ga_ls8c_ard_3-0-0_100079_2014-07-17_final
2014-08-05 10:48:13	ga_ls8c_ard_3-0-0_105072_2014-08-05_final
2014-08-08 11:20:20	ga_ls8c_ard_3-0-0_110075_2014-08-08_final
2015-01-04 09:58:24	ga_ls8c_ard_3-0-0_097071_2015-01-04_final
2015-01-19 10:53:59	ga_ls8c_ard_3-0-0_106071_2015-01-19_final
2015-03-07 10:11:13	ga_ls8c_ard_3-0-0_099073_2015-03-07_final
2015-05-07 11:18:13	ga_ls8c_ard_3-0-0_110072_2015-05-07_final
2015-05-15 10:32:39	ga_ls8c_ard_3-0-0_102082_2015-05-15_final
2015-05-19 10:01:59	ga_ls8c_ard_3-0-0_098067_2015-05-19_final
2015-05-26 10:14:59	ga_ls8c_ard_3-0-0_099084_2015-05-26_final
2015-09-01 09:57:23	ga_ls8c_ard_3-0-0_097069_2015-09-01_final
2015-09-05 11:13:57	ga_ls8c_ard_3-0-0_109075_2015-09-05_final
2015-10-15 10:25:29	ga_ls8c_ard_3-0-0_101077_2015-10-15_final
2015-12-06 11:38:35	ga_ls8c_ard_3-0-0_113074_2015-12-06_final
2015-12-13 10:09:51	ga_ls8c_ard_3-0-0_098084_2015-12-13_final
2015-12-17 11:17:15	ga_ls8c_ard_3-0-0_110067_2015-12-17_final
2016-01-21 10:10:01	ga_ls8c_ard_3-0-0_099069_2016-01-21_final
2016-02-01 11:29:32	ga_ls8c_ard_3-0-0_112067_2016-02-01_final
2016-02-22 10:13:49	ga_ls8c_ard_3-0-0_099079_2016-02-22_final
2016-09-18 10:53:01	ga_ls8c_ard_3-0-0_106068_2016-09-18_final
2018-04-12 10:39:11	ga_ls8c_ard_3-0-0_103082_2018-04-12_final
2018-08-17 11:31:43	ga_ls8c_ard_3-0-0_112074_2018-08-17_final
2018-09-02 11:31:02	ga_ls8c_ard_3-0-0_112072_2018-09-02_final
2018-12-12 10:13:47	ga_ls8c_ard_3-0-0_099079_2018-12-12_final
2019-02-11 11:16:52	ga_ls8c_ard_3-0-0_110067_2019-02-11_final
2019-02-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2019-02-18_final
2019-03-11 10:02:58	ga_ls8c_ard_3-1-0_098068_2019-03-11_final
2019-03-11 10:03:22	ga_ls8c_ard_3-1-0_098069_2019-03-11_final
2019-03-24 11:11:18	ga_ls8c_ard_3-1-0_109069_2019-03-24_final
2019-04-16 11:22:57	ga_ls8c_ard_3-1-0_110083_2019-04-16_final
2019-07-22 10:25:51	ga_ls8c_ard_3-1-0_101078_2019-07-22_final
2019-08-12 10:45:44	ga_ls8c_ard_3-1-0_104081_2019-08-12_final
2019-09-03 11:47:37	ga_ls8c_ard_3-1-0_114081_2019-09-03_final
2019-12-31 10:10:33	ga_ls8c_ard_3-1-0_099070_2019-12-31_final
2020-01-01 10:55:00	ga_ls8c_ard_3-1-0_106073_2020-01-01_final
2020-01-30 10:27:34	ga_ls8c_ard_3-1-0_101082_2020-01-30_final
2020-02-28 11:36:14	ga_ls8c_ard_3-1-0_112084_2020-02-28_final
2020-04-23 10:00:18	ga_ls8c_ard_3-1-0_097077_2020-04-23_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-02 10:48:55	ga_ls8c_ard_3-1-0_105075_2020-06-02_final
2020-06-13 10:27:42	ga_ls8c_ard_3-1-0_102068_2020-06-13_final
2020-08-22 11:29:33	ga_ls8c_ard_3-1-0_112067_2020-08-22_final
2020-12-31 10:26:10	ga_ls8c_ard_3-2-0_101078_2020-12-31_final
2021-02-22 10:46:03	ga_ls8c_ard_3-2-0_104082_2021-02-22_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-04-12 11:25:48	ga_ls8c_ard_3-2-0_111074_2021-04-12_final
2021-05-13 10:41:59	ga_ls8c_ard_3-2-0_104073_2021-05-13_final
2021-07-07 10:49:42	ga_ls8c_ard_3-2-0_105076_2021-07-07_final
2021-07-25 10:35:51	ga_ls8c_ard_3-2-0_103072_2021-07-25_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_final
2021-09-20 10:29:10	ga_ls8c_ard_3-2-0_102070_2021-09-20_final
2021-10-23 11:12:58	ga_ls8c_ard_3-2-0_109071_2021-10-23_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2021-11-22 11:26:02	ga_ls8c_ard_3-2-0_111073_2021-11-22_final
2021-12-03 09:34:13	ga_ls8c_ard_3-2-0_092087_2021-12-03_final
2021-12-14 09:10:28	ga_ls8c_ard_3-2-1_089074_2021-12-13_final
2022-01-17 10:36:03	ga_ls8c_ard_3-2-1_103072_2022-01-17_final
2022-01-24 10:40:36	ga_ls8c_ard_3-2-1_104068_2022-01-24_final
2022-01-29 09:27:48	ga_ls8c_ard_3-2-1_091087_2022-01-28_final
2022-04-11 11:52:37	ga_ls8c_ard_3-2-1_115079_2022-04-11_final
2022-04-12 09:21:19	ga_ls8c_ard_3-2-1_090087_2022-04-11_final
2022-04-27 10:09:18	ga_ls8c_ard_3-2-1_099068_2022-04-27_final
2022-05-05 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-05-04_final
2022-05-12 11:05:51	ga_ls8c_ard_3-2-1_108070_2022-05-12_final
2022-07-11 09:56:48	ga_ls8c_ard_3-2-1_096082_2022-07-11_final
2022-07-16 10:10:57	ga_ls8c_ard_3-2-1_099071_2022-07-16_final
2022-09-22 11:30:20	ga_ls8c_ard_3-2-1_111083_2022-09-22_final
2022-10-30 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-10-30_final
2022-11-07 11:41:52	ga_ls8c_ard_3-2-1_113081_2022-11-07_final
2022-11-24 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-11-23_final
2023-01-14 11:12:28	ga_ls8c_ard_3-2-1_109070_2023-01-14_final
2023-01-18 09:12:47	ga_ls8c_ard_3-2-1_089080_2023-01-17_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-03-15 09:58:44	ga_ls8c_ard_3-2-1_097072_2023-03-15_final
2023-05-24 10:59:52	ga_ls8c_ard_3-2-1_107072_2023-05-24_final
2023-07-06 09:06:48	ga_ls8c_ard_3-2-1_088082_2023-07-05_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-07-28 10:07:32	ga_ls8c_ard_3-2-1_098079_2023-07-28_final
2023-07-31 10:35:41	ga_ls8c_ard_3-2-1_103072_2023-07-31_final
2023-08-20 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-08-20_final
2023-09-08 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-09-07_final
2023-09-18 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-09-18_final
2023-10-23 10:15:41	ga_ls8c_ard_3-2-1_099083_2023-10-23_final
2023-11-05 09:41:13	ga_ls8c_ard_3-2-1_094074_2023-11-05_final
2023-11-16 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-11-15_final
2023-11-18 09:16:44	ga_ls8c_ard_3-2-1_089090_2023-11-17_final
2023-12-03 10:04:19	ga_ls8c_ard_3-2-1_098070_2023-12-03_final
2024-01-10 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-01-09_final
2024-02-13 09:17:11	ga_ls8c_ard_3-2-1_090076_2024-02-12_final
2024-02-20 11:01:26	ga_ls8c_ard_3-2-1_107074_2024-02-20_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