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
2013-03-23 10:56:42	ga_ls8c_ard_3-0-0_106072_2013-03-23_final
2013-12-19 10:30:44	ga_ls8c_ard_3-0-0_102071_2013-12-19_final
2014-04-01 10:34:28	ga_ls8c_ard_3-0-0_103068_2014-04-01_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-07-01 10:18:16	ga_ls8c_ard_3-0-0_100075_2014-07-01_final
2014-07-29 09:07:04	ga_ls8c_ard_3-0-0_088082_2014-07-28_final
2015-01-23 10:28:25	ga_ls8c_ard_3-0-0_102069_2015-01-23_final
2015-01-27 10:09:17	ga_ls8c_ard_3-0-0_098083_2015-01-27_final
2015-02-27 10:59:33	ga_ls8c_ard_3-0-0_107070_2015-02-27_final
2015-04-04 10:39:13	ga_ls8c_ard_3-0-0_103082_2015-04-04_final
2015-06-14 10:44:30	ga_ls8c_ard_3-0-0_104080_2015-06-14_final
2015-06-17 11:13:49	ga_ls8c_ard_3-0-0_109076_2015-06-17_final
2015-07-17 11:23:39	ga_ls8c_ard_3-0-0_111069_2015-07-17_final
2015-08-11 11:18:47	ga_ls8c_ard_3-0-0_110072_2015-08-11_final
2015-09-09 10:48:53	ga_ls8c_ard_3-0-0_105074_2015-09-09_final
2015-10-23 11:14:12	ga_ls8c_ard_3-0-0_109075_2015-10-23_final
2015-11-17 11:08:04	ga_ls8c_ard_3-0-0_108075_2015-11-17_final
2015-11-22 11:27:50	ga_ls8c_ard_3-0-0_111078_2015-11-22_final
2016-05-11 11:06:41	ga_ls8c_ard_3-0-0_108073_2016-05-11_final
2016-08-02 11:38:28	ga_ls8c_ard_3-0-0_113074_2016-08-02_final
2016-08-09 11:45:51	ga_ls8c_ard_3-0-0_114077_2016-08-09_final
2016-09-26 11:46:03	ga_ls8c_ard_3-0-0_114077_2016-09-26_final
2016-10-13 10:49:19	ga_ls8c_ard_3-0-0_105074_2016-10-13_final
2016-11-29 11:46:10	ga_ls8c_ard_3-0-0_114077_2016-11-29_final
2017-07-02 10:10:54	ga_ls8c_ard_3-0-0_099072_2017-07-02_final
2017-08-17 10:27:56	ga_ls8c_ard_3-0-0_101083_2017-08-17_final
2017-09-28 11:05:10	ga_ls8c_ard_3-0-0_107083_2017-09-28_final
2017-10-10 11:24:22	ga_ls8c_ard_3-0-0_111069_2017-10-10_final
2017-11-07 11:53:05	ga_ls8c_ard_3-0-0_115079_2017-11-07_final
2017-12-06 11:20:27	ga_ls8c_ard_3-0-0_110075_2017-12-06_final
2017-12-31 11:15:53	ga_ls8c_ard_3-0-0_109079_2017-12-31_final
2018-01-09 11:05:39	ga_ls8c_ard_3-0-0_108069_2018-01-09_final
2018-03-09 10:46:14	ga_ls8c_ard_3-0-0_105068_2018-03-09_final
2018-05-11 11:40:54	ga_ls8c_ard_3-0-0_114067_2018-05-11_final
2018-06-04 10:51:58	ga_ls8c_ard_3-0-0_106069_2018-06-04_final
2018-08-10 11:25:04	ga_ls8c_ard_3-0-0_111073_2018-08-10_final
2018-08-18 10:35:18	ga_ls8c_ard_3-0-0_103072_2018-08-18_final
2018-09-14 10:18:31	ga_ls8c_ard_3-0-0_100076_2018-09-14_final
2018-09-20 09:39:52	ga_ls8c_ard_3-0-0_094072_2018-09-20_final
2018-10-23 10:22:58	ga_ls8c_ard_3-0-0_101071_2018-10-23_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-02-16 11:38:11	ga_ls8c_ard_3-0-0_113074_2019-02-16_final
2019-06-13 10:21:54	ga_ls8c_ard_3-1-0_100084_2019-06-13_final
2019-06-15 10:03:34	ga_ls8c_ard_3-1-0_098069_2019-06-15_final
2019-07-07 11:07:28	ga_ls8c_ard_3-1-0_108074_2019-07-07_final
2019-07-12 11:30:01	ga_ls8c_ard_3-1-0_111084_2019-07-12_final
2019-08-09 10:14:25	ga_ls8c_ard_3-1-0_099080_2019-08-09_final
2019-08-14 10:28:12	ga_ls8c_ard_3-1-0_102068_2019-08-14_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-10-30 10:03:57	ga_ls8c_ard_3-1-0_097084_2019-10-30_final
2020-04-02 11:18:47	ga_ls8c_ard_3-1-0_110072_2020-04-02_final
2020-04-12 10:21:43	ga_ls8c_ard_3-1-0_100084_2020-04-12_final
2020-04-30 10:09:12	ga_ls8c_ard_3-1-0_098084_2020-04-30_final
2020-05-19 10:34:05	ga_ls8c_ard_3-1-0_103069_2020-05-19_final
2020-05-31 11:00:51	ga_ls8c_ard_3-1-0_107074_2020-05-31_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-08-24 11:18:24	ga_ls8c_ard_3-1-0_110070_2020-08-24_final
2020-10-02 09:47:55	ga_ls8c_ard_3-1-0_095075_2020-10-02_final
2020-12-05 09:46:21	ga_ls8c_ard_3-1-0_095071_2020-12-05_final
2020-12-18 10:54:43	ga_ls8c_ard_3-2-0_106072_2020-12-18_final
2021-01-17 09:28:49	ga_ls8c_ard_3-2-0_092074_2021-01-16_final
2021-01-17 09:34:00	ga_ls8c_ard_3-2-0_092087_2021-01-17_final
2021-01-29 09:55:31	ga_ls8c_ard_3-2-0_096079_2021-01-29_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-04-02 10:48:46	ga_ls8c_ard_3-2-0_105074_2021-04-02_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-08-15 09:22:02	ga_ls8c_ard_3-2-0_090088_2021-08-14_final
2021-08-27 11:17:19	ga_ls8c_ard_3-2-0_110067_2021-08-27_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2021-10-10 10:04:57	ga_ls8c_ard_3-2-0_098071_2021-10-10_final
2021-12-03 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-12-03_final
2021-12-09 10:29:37	ga_ls8c_ard_3-2-1_102071_2021-12-09_final
2021-12-28 09:27:56	ga_ls8c_ard_3-2-1_091087_2021-12-27_final
2021-12-30 09:13:34	ga_ls8c_ard_3-2-1_089082_2021-12-29_final
2022-03-01 10:22:07	ga_ls8c_ard_3-2-1_100084_2022-03-01_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-08-18 09:17:14	ga_ls8c_ard_3-2-1_090075_2022-08-17_final
2022-08-29 10:35:35	ga_ls8c_ard_3-2-1_103070_2022-08-29_final
2022-09-02 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-09-02_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-11-13 11:02:20	ga_ls8c_ard_3-2-1_107075_2022-11-13_final
2022-12-20 11:19:31	ga_ls8c_ard_3-2-1_110072_2022-12-20_final
2023-01-23 11:07:29	ga_ls8c_ard_3-2-1_108073_2023-01-23_final
2023-01-25 09:17:52	ga_ls8c_ard_3-2-1_090077_2023-01-24_final
2023-02-13 11:25:11	ga_ls8c_ard_3-2-1_111071_2023-02-13_final
2023-02-18 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-02-18_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-04-11 11:17:28	ga_ls8c_ard_3-2-1_110069_2023-04-11_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-06-04 10:45:21	ga_ls8c_ard_3-2-1_104082_2023-06-04_final
2023-07-30 11:32:05	ga_ls8c_ard_3-2-1_112074_2023-07-30_final
2023-08-23 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-08-22_final
2023-10-21 10:27:37	ga_ls8c_ard_3-2-1_101082_2023-10-21_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2024-01-20 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-01-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years