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
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2014-03-08 11:25:27	ga_ls8c_ard_3-0-0_111071_2014-03-08_final
2014-04-25 11:24:20	ga_ls8c_ard_3-0-0_111070_2014-04-25_final
2014-04-27 11:17:08	ga_ls8c_ard_3-0-0_109083_2014-04-27_final
2014-05-04 09:39:54	ga_ls8c_ard_3-0-0_094072_2014-05-04_final
2014-07-07 11:16:57	ga_ls8c_ard_3-0-0_110067_2014-07-07_final
2015-01-06 11:24:56	ga_ls8c_ard_3-0-0_111071_2015-01-06_final
2015-01-22 09:46:22	ga_ls8c_ard_3-0-0_095072_2015-01-22_final
2015-01-27 11:41:47	ga_ls8c_ard_3-0-0_114067_2015-01-27_final
2015-02-14 11:31:16	ga_ls8c_ard_3-0-0_112072_2015-02-14_final
2015-03-18 11:29:51	ga_ls8c_ard_3-0-0_112069_2015-03-18_final
2015-06-02 11:57:43	ga_ls8c_ard_3-0-0_116078_2015-06-02_final
2015-07-01 09:51:23	ga_ls8c_ard_3-0-0_095086_2015-07-01_final
2015-08-25 11:32:03	ga_ls8c_ard_3-0-0_112074_2015-08-25_final
2015-10-14 09:38:14	ga_ls8c_ard_3-0-0_094067_2015-10-14_final
2015-11-21 09:06:53	ga_ls8c_ard_3-1-0_088081_2015-11-20_final
2016-02-09 09:06:20	ga_ls8c_ard_3-0-0_088080_2016-02-08_final
2016-03-13 11:24:44	ga_ls8c_ard_3-0-0_111071_2016-03-13_final
2016-12-26 09:47:02	ga_ls8c_ard_3-0-0_095073_2016-12-26_final
2017-01-04 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-01-04_final
2017-01-27 09:52:28	ga_ls8c_ard_3-0-0_095087_2017-01-27_final
2017-02-12 09:45:57	ga_ls8c_ard_3-0-0_095071_2017-02-12_final
2017-05-18 09:05:48	ga_ls8c_ard_3-0-0_088080_2017-05-17_final
2017-09-11 11:58:42	ga_ls8c_ard_3-0-0_116078_2017-09-11_final
2017-11-20 09:40:50	ga_ls8c_ard_3-0-0_094073_2017-11-20_final
2017-12-09 11:52:57	ga_ls8c_ard_3-0-0_115079_2017-12-09_final
2018-01-23 11:17:53	ga_ls8c_ard_3-0-0_110069_2018-01-23_final
2018-03-28 09:37:43	ga_ls8c_ard_3-0-0_094067_2018-03-28_final
2018-04-11 11:31:37	ga_ls8c_ard_3-0-0_112074_2018-04-11_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-06-23 09:44:35	ga_ls8c_ard_3-0-0_095070_2018-06-23_final
2018-07-09 11:23:13	ga_ls8c_ard_3-0-0_111069_2018-07-09_final
2018-08-26 09:45:31	ga_ls8c_ard_3-0-0_095071_2018-08-26_final
2019-09-30 11:23:39	ga_ls8c_ard_3-1-0_111067_2019-09-30_final
2019-10-18 11:18:07	ga_ls8c_ard_3-1-0_109084_2019-10-18_final
2019-12-26 11:30:55	ga_ls8c_ard_3-1-0_112070_2019-12-26_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-06-30 11:14:18	ga_ls8c_ard_3-1-0_109076_2020-06-30_final
2020-10-27 09:38:33	ga_ls8c_ard_3-1-0_094067_2020-10-27_final
2021-03-15 09:21:32	ga_ls8c_ard_3-2-0_091072_2021-03-14_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-08 10:26:58	ga_ls8c_ard_3-2-0_101082_2021-05-08_final
2021-05-08 10:27:22	ga_ls8c_ard_3-2-0_101083_2021-05-08_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-06-11 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-06-11_final
2021-06-12 09:22:30	ga_ls8c_ard_3-2-0_090090_2021-06-11_final
2021-06-26 09:33:44	ga_ls8c_ard_3-2-0_092087_2021-06-26_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-30 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-07-29_final
2021-08-02 11:23:21	ga_ls8c_ard_3-2-0_111067_2021-08-02_final
2021-08-02 11:25:45	ga_ls8c_ard_3-2-0_111073_2021-08-02_final
2021-08-13 09:29:12	ga_ls8c_ard_3-2-0_092075_2021-08-12_final
2021-08-21 10:17:05	ga_ls8c_ard_3-2-0_100071_2021-08-21_final
2021-09-09 09:15:58	ga_ls8c_ard_3-2-0_089088_2021-09-08_final
2021-09-10 11:32:32	ga_ls8c_ard_3-2-0_112074_2021-09-10_final
2021-10-17 10:10:45	ga_ls8c_ard_3-2-0_099070_2021-10-17_final
2021-10-30 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-30_final
2021-11-06 11:24:06	ga_ls8c_ard_3-2-0_111068_2021-11-06_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-26 09:22:02	ga_ls8c_ard_3-2-0_091072_2021-11-25_final
2021-12-04 10:14:17	ga_ls8c_ard_3-2-0_099079_2021-12-04_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-03-04 09:14:31	ga_ls8c_ard_3-2-1_089085_2022-03-03_final
2022-03-19 10:07:14	ga_ls8c_ard_3-2-1_098078_2022-03-19_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-04-19 11:04:47	ga_ls8c_ard_3-2-1_107083_2022-04-19_final
2022-06-22 09:22:42	ga_ls8c_ard_3-2-1_091074_2022-06-21_final
2022-06-23 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-06-23_final
2022-07-08 09:28:19	ga_ls8c_ard_3-2-1_091088_2022-07-07_final
2022-08-05 11:25:21	ga_ls8c_ard_3-2-1_111071_2022-08-05_final
2022-09-18 10:14:34	ga_ls8c_ard_3-2-1_099079_2022-09-18_final
2022-12-11 09:52:55	ga_ls8c_ard_3-2-1_095087_2022-12-11_final
2023-01-23 09:34:12	ga_ls8c_ard_3-2-1_092087_2023-01-23_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-03-04 10:18:56	ga_ls8c_ard_3-2-1_100076_2023-03-04_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-05-16 10:09:59	ga_ls8c_ard_3-2-1_099071_2023-05-16_final
2023-05-31 09:27:10	ga_ls8c_ard_3-2-1_092072_2023-05-30_final
2023-06-02 10:55:17	ga_ls8c_ard_3-2-1_106076_2023-06-02_final
2023-06-27 10:51:45	ga_ls8c_ard_3-2-1_105082_2023-06-27_final
2023-07-21 11:38:09	ga_ls8c_ard_3-2-1_113074_2023-07-21_final
2023-08-06 09:57:02	ga_ls8c_ard_3-2-1_097068_2023-08-06_final
2023-08-08 11:24:45	ga_ls8c_ard_3-2-1_111071_2023-08-08_final
2023-08-19 09:34:13	ga_ls8c_ard_3-2-1_092088_2023-08-19_final
2023-11-21 11:20:09	ga_ls8c_ard_3-2-1_110074_2023-11-21_final
2023-12-13 09:07:18	ga_ls8c_ard_3-2-1_088082_2023-12-12_final
2023-12-22 10:40:03	ga_ls8c_ard_3-2-1_103082_2023-12-22_final
2023-12-24 10:28:05	ga_ls8c_ard_3-2-1_101083_2023-12-24_final
2024-01-12 09:20:49	ga_ls8c_ard_3-2-1_090085_2024-01-11_final
2024-02-10 10:23:11	ga_ls8c_ard_3-2-1_101071_2024-02-10_final
2024-03-14 11:07:23	ga_ls8c_ard_3-2-1_108074_2024-03-14_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