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
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2014-01-28 11:18:13	ga_ls8c_ard_3-0-0_110067_2014-01-28_final
2014-03-04 10:11:17	ga_ls8c_ard_3-0-0_099071_2014-03-04_final
2014-03-26 09:34:44	ga_ls8c_ard_3-0-0_093073_2014-03-26_final
2014-06-14 09:34:09	ga_ls8c_ard_3-0-0_093073_2014-06-14_final
2014-06-21 09:39:56	ga_ls8c_ard_3-0-0_094072_2014-06-21_final
2014-07-21 09:57:15	ga_ls8c_ard_3-0-0_096084_2014-07-21_final
2014-07-31 10:33:13	ga_ls8c_ard_3-0-0_102081_2014-07-31_final
2014-11-07 11:05:11	ga_ls8c_ard_3-0-0_107083_2014-11-07_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2014-12-16 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-12-15_final
2015-01-01 09:27:53	ga_ls8c_ard_3-0-0_092072_2014-12-31_final
2015-03-27 09:45:06	ga_ls8c_ard_3-0-0_095070_2015-03-27_final
2015-05-14 11:23:30	ga_ls8c_ard_3-0-0_111070_2015-05-14_final
2015-11-20 10:04:05	ga_ls8c_ard_3-0-0_097085_2015-11-20_final
2015-12-03 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-02_final
2016-04-01 10:21:21	ga_ls8c_ard_3-0-0_100083_2016-04-01_final
2016-08-22 09:34:34	ga_ls8c_ard_3-0-0_093073_2016-08-22_final
2017-01-17 10:46:22	ga_ls8c_ard_3-0-0_105067_2017-01-17_final
2017-01-30 10:16:58	ga_ls8c_ard_3-0-0_100071_2017-01-30_final
2017-02-11 09:07:29	ga_ls8c_ard_3-0-0_088083_2017-02-10_final
2017-02-26 09:57:03	ga_ls8c_ard_3-0-0_097068_2017-02-26_final
2017-03-18 09:33:20	ga_ls8c_ard_3-0-0_093071_2017-03-18_final
2017-04-29 10:12:49	ga_ls8c_ard_3-0-0_099078_2017-04-29_final
2017-05-31 11:52:48	ga_ls8c_ard_3-0-0_115080_2017-05-31_final
2017-09-17 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-09-17_final
2017-11-04 09:44:30	ga_ls8c_ard_3-0-0_094082_2017-11-04_final
2017-12-25 11:53:23	ga_ls8c_ard_3-0-0_115080_2017-12-25_final
2018-01-30 09:45:54	ga_ls8c_ard_3-0-0_095071_2018-01-30_final
2018-02-10 09:27:42	ga_ls8c_ard_3-0-0_092072_2018-02-09_final
2018-02-22 11:31:38	ga_ls8c_ard_3-0-0_112073_2018-02-22_final
2018-03-02 09:06:50	ga_ls8c_ard_3-0-0_088082_2018-03-01_final
2018-03-12 11:19:30	ga_ls8c_ard_3-0-0_110074_2018-03-12_final
2018-03-20 10:33:11	ga_ls8c_ard_3-0-0_102082_2018-03-20_final
2018-05-25 10:18:11	ga_ls8c_ard_3-0-0_100077_2018-05-25_final
2018-06-02 11:06:44	ga_ls8c_ard_3-0-0_108075_2018-06-02_final
2018-07-18 09:39:01	ga_ls8c_ard_3-0-0_094071_2018-07-18_final
2018-07-25 11:25:19	ga_ls8c_ard_3-0-0_111074_2018-07-25_final
2018-08-18 10:39:17	ga_ls8c_ard_3-0-0_103082_2018-08-18_final
2018-11-07 11:17:50	ga_ls8c_ard_3-0-0_110069_2018-11-07_final
2018-11-13 09:07:28	ga_ls8c_ard_3-0-0_088083_2018-11-12_final
2018-11-15 10:33:12	ga_ls8c_ard_3-0-0_102081_2018-11-15_final
2018-12-31 10:40:18	ga_ls8c_ard_3-0-0_104068_2018-12-31_final
2019-01-24 09:51:11	ga_ls8c_ard_3-0-0_096069_2019-01-24_final
2019-03-31 11:19:27	ga_ls8c_ard_3-1-0_110074_2019-03-31_final
2019-04-09 09:33:57	ga_ls8c_ard_3-1-0_093073_2019-04-09_final
2019-04-25 09:33:26	ga_ls8c_ard_3-0-0_093072_2019-04-25_final
2019-04-30 11:29:17	ga_ls8c_ard_3-0-0_112068_2019-04-30_final
2019-06-16 10:48:50	ga_ls8c_ard_3-1-0_105074_2019-06-16_final
2019-06-23 10:55:27	ga_ls8c_ard_3-1-0_106075_2019-06-23_final
2019-08-08 11:07:38	ga_ls8c_ard_3-1-0_108074_2019-08-08_final
2019-09-16 09:34:43	ga_ls8c_ard_3-1-0_093073_2019-09-16_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-03 09:45:55	ga_ls8c_ard_3-1-0_095070_2019-12-03_final
2019-12-30 11:08:10	ga_ls8c_ard_3-1-0_108075_2019-12-30_final
2020-01-15 11:08:07	ga_ls8c_ard_3-1-0_108075_2020-01-15_final
2020-02-20 10:46:02	ga_ls8c_ard_3-1-0_104082_2020-02-20_final
2020-03-07 09:07:03	ga_ls8c_ard_3-1-0_088082_2020-03-06_final
2020-04-05 11:50:52	ga_ls8c_ard_3-1-0_115075_2020-04-05_final
2020-06-05 11:19:27	ga_ls8c_ard_3-1-0_110074_2020-06-05_final
2020-06-17 10:09:24	ga_ls8c_ard_3-1-0_098084_2020-06-17_final
2020-07-11 10:55:26	ga_ls8c_ard_3-1-0_106075_2020-07-11_final
2020-09-11 09:28:53	ga_ls8c_ard_3-1-0_092074_2020-09-10_final
2020-09-15 09:07:47	ga_ls8c_ard_3-1-0_088083_2020-09-14_final
2020-09-25 11:18:12	ga_ls8c_ard_3-1-0_110069_2020-09-25_final
2020-10-13 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-10-13_final
2020-10-18 11:24:26	ga_ls8c_ard_3-1-0_111069_2020-10-18_final
2020-12-03 09:57:31	ga_ls8c_ard_3-1-0_097068_2020-12-03_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2020-12-20 10:40:46	ga_ls8c_ard_3-2-0_104068_2020-12-20_final
2021-02-26 10:19:18	ga_ls8c_ard_3-2-0_100077_2021-02-26_final
2021-03-06 11:07:53	ga_ls8c_ard_3-2-0_108075_2021-03-06_final
2021-04-19 11:30:20	ga_ls8c_ard_3-2-0_112070_2021-04-19_final
2021-04-24 10:13:08	ga_ls8c_ard_3-2-0_099078_2021-04-24_final
2021-05-03 10:08:51	ga_ls8c_ard_3-2-0_098083_2021-05-03_final
2021-05-11 10:57:55	ga_ls8c_ard_3-2-0_106082_2021-05-11_final
2021-07-26 09:38:14	ga_ls8c_ard_3-2-0_094067_2021-07-26_final
2021-07-26 11:20:19	ga_ls8c_ard_3-2-0_110075_2021-07-26_final
2021-08-30 10:08:57	ga_ls8c_ard_3-2-1_099066_2021-08-30_final
2021-12-27 10:19:35	ga_ls8c_ard_3-2-1_100077_2021-12-27_final
2022-01-14 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-01-14_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-01-31 09:11:27	ga_ls8c_ard_3-2-1_089077_2022-01-30_final
2022-02-06 11:52:56	ga_ls8c_ard_3-2-1_115079_2022-02-06_final
2022-02-27 10:28:06	ga_ls8c_ard_3-2-1_102068_2022-02-27_final
2022-03-16 09:33:58	ga_ls8c_ard_3-2-1_093072_2022-03-16_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-06-12 10:27:37	ga_ls8c_ard_3-2-1_101082_2022-06-12_final
2022-08-07 09:34:07	ga_ls8c_ard_3-2-1_093071_2022-08-07_final
2022-09-03 09:18:01	ga_ls8c_ard_3-2-1_090077_2022-09-02_final
2022-10-08 09:50:58	ga_ls8c_ard_3-2-1_095082_2022-10-08_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-04-07 10:09:23	ga_ls8c_ard_3-2-1_098084_2023-04-07_final
2023-07-07 11:25:45	ga_ls8c_ard_3-2-1_111074_2023-07-07_final
2023-08-17 09:40:10	ga_ls8c_ard_3-2-1_094072_2023-08-17_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_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