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
2013-05-06 11:44:16	ga_ls8c_ard_3-0-0_113084_2013-05-06_final
2013-06-12 10:23:18	ga_ls8c_ard_3-0-0_100082_2013-06-12_final
2013-06-27 11:17:16	ga_ls8c_ard_3-0-0_109078_2013-06-27_final
2013-06-28 10:21:39	ga_ls8c_ard_3-0-0_100078_2013-06-28_final
2014-01-15 10:11:53	ga_ls8c_ard_3-0-0_099071_2014-01-15_final
2014-02-23 10:20:27	ga_ls8c_ard_3-0-0_100078_2014-02-23_final
2014-04-21 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-04-21_final
2014-05-20 09:45:19	ga_ls8c_ard_3-0-0_094086_2014-05-20_final
2014-06-28 11:29:24	ga_ls8c_ard_3-0-0_111083_2014-06-28_final
2014-08-02 10:19:17	ga_ls8c_ard_3-0-0_100077_2014-08-02_final
2014-08-11 10:13:58	ga_ls8c_ard_3-0-0_099079_2014-08-11_final
2014-10-25 11:31:41	ga_ls8c_ard_3-0-0_112072_2014-10-25_final
2014-11-15 10:13:44	ga_ls8c_ard_3-0-0_099078_2014-11-15_final
2014-11-28 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-11-28_final
2015-01-15 11:17:56	ga_ls8c_ard_3-0-0_110069_2015-01-15_final
2015-02-03 10:13:04	ga_ls8c_ard_3-0-0_099077_2015-02-03_final
2015-02-14 11:31:16	ga_ls8c_ard_3-0-0_112072_2015-02-14_final
2015-05-30 09:49:52	ga_ls8c_ard_3-0-0_095083_2015-05-30_final
2015-09-06 10:19:32	ga_ls8c_ard_3-0-0_100078_2015-09-06_final
2015-09-12 11:17:49	ga_ls8c_ard_3-0-0_110069_2015-09-12_final
2015-10-29 10:36:45	ga_ls8c_ard_3-0-0_103074_2015-10-29_final
2015-12-20 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-20_final
2016-04-03 10:06:59	ga_ls8c_ard_3-0-0_098078_2016-04-03_final
2016-04-19 10:06:54	ga_ls8c_ard_3-0-0_098078_2016-04-19_final
2016-05-30 11:42:05	ga_ls8c_ard_3-0-0_113084_2016-05-30_final
2016-08-27 11:30:49	ga_ls8c_ard_3-0-0_112070_2016-08-27_final
2016-09-04 10:42:37	ga_ls8c_ard_3-0-0_104073_2016-09-04_final
2017-01-11 11:24:40	ga_ls8c_ard_3-0-0_111070_2017-01-11_final
2017-02-28 11:23:57	ga_ls8c_ard_3-0-0_111069_2017-02-28_final
2017-09-24 11:24:41	ga_ls8c_ard_3-0-0_111070_2017-09-24_final
2017-09-27 10:19:30	ga_ls8c_ard_3-0-0_100077_2017-09-27_final
2018-02-06 11:30:31	ga_ls8c_ard_3-0-0_112070_2018-02-06_final
2018-05-18 10:12:30	ga_ls8c_ard_3-0-0_099078_2018-05-18_final
2018-08-22 10:12:36	ga_ls8c_ard_3-0-0_099077_2018-08-22_final
2018-08-29 10:18:50	ga_ls8c_ard_3-0-0_100077_2018-08-29_final
2018-10-04 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-10-04_final
2018-10-16 10:19:09	ga_ls8c_ard_3-0-0_100077_2018-10-16_final
2018-11-17 10:19:14	ga_ls8c_ard_3-0-0_100077_2018-11-17_final
2019-01-04 10:19:10	ga_ls8c_ard_3-0-0_100077_2019-01-04_final
2019-01-08 11:31:44	ga_ls8c_ard_3-0-0_112073_2019-01-08_final
2019-01-27 10:26:04	ga_ls8c_ard_3-0-0_101079_2019-01-27_final
2019-04-03 10:09:04	ga_ls8c_ard_3-1-0_099068_2019-04-03_final
2019-04-19 10:12:33	ga_ls8c_ard_3-1-0_099077_2019-04-19_final
2019-08-22 09:40:23	ga_ls8c_ard_3-1-0_094072_2019-08-22_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-12-06 10:20:01	ga_ls8c_ard_3-1-0_100078_2019-12-06_final
2019-12-10 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-12-10_final
2020-07-28 11:42:22	ga_ls8c_ard_3-1-0_113084_2020-07-28_final
2020-08-11 10:13:06	ga_ls8c_ard_3-1-0_099077_2020-08-11_final
2020-11-17 09:57:52	ga_ls8c_ard_3-1-0_097069_2020-11-17_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-03-08 10:53:07	ga_ls8c_ard_3-2-0_106069_2021-03-08_final
2021-03-28 10:28:16	ga_ls8c_ard_3-2-0_102069_2021-03-28_final
2021-04-08 10:13:15	ga_ls8c_ard_3-2-0_099078_2021-04-08_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-06-27 10:13:00	ga_ls8c_ard_3-2-0_099077_2021-06-27_final
2021-11-05 09:07:09	ga_ls8c_ard_3-2-0_088081_2021-11-04_final
2022-01-22 09:23:16	ga_ls8c_ard_3-2-1_090091_2022-01-21_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-01-25 11:25:27	ga_ls8c_ard_3-2-1_111072_2022-01-25_final
2022-02-06 10:13:15	ga_ls8c_ard_3-2-1_099077_2022-02-06_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-03-14 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-03-14_final
2022-04-14 09:06:10	ga_ls8c_ard_3-2-1_088080_2022-04-13_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-06-21 10:19:55	ga_ls8c_ard_3-2-1_100078_2022-06-21_final
2022-07-18 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-07-18_final
2022-08-18 09:23:13	ga_ls8c_ard_3-2-1_090090_2022-08-17_final
2022-10-04 10:10:57	ga_ls8c_ard_3-2-1_099070_2022-10-04_final
2022-10-12 09:28:11	ga_ls8c_ard_3-2-1_091087_2022-10-11_final
2022-11-21 10:10:51	ga_ls8c_ard_3-2-1_099070_2022-11-21_final
2023-02-08 09:29:01	ga_ls8c_ard_3-2-1_092074_2023-02-07_final
2023-02-11 09:59:05	ga_ls8c_ard_3-2-1_097072_2023-02-11_final
2023-02-19 09:12:19	ga_ls8c_ard_3-2-1_089079_2023-02-18_final
2023-02-28 09:06:47	ga_ls8c_ard_3-2-1_088081_2023-02-27_final
2023-03-23 09:12:22	ga_ls8c_ard_3-2-1_089080_2023-03-22_final
2023-03-31 09:57:21	ga_ls8c_ard_3-2-1_097069_2023-03-31_final
2023-04-29 09:33:44	ga_ls8c_ard_3-2-1_092088_2023-04-29_final
2023-05-04 09:51:26	ga_ls8c_ard_3-2-1_095086_2023-05-04_final
2023-05-10 09:09:27	ga_ls8c_ard_3-2-1_089074_2023-05-09_final
2023-06-17 10:09:48	ga_ls8c_ard_3-2-1_099070_2023-06-17_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-08-03 09:28:31	ga_ls8c_ard_3-2-1_092074_2023-08-02_final
2023-08-04 10:10:11	ga_ls8c_ard_3-2-1_099070_2023-08-04_final
2023-08-26 09:34:02	ga_ls8c_ard_3-2-1_093072_2023-08-26_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-09-05 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-09-05_final
2023-09-05 10:13:05	ga_ls8c_ard_3-2-1_099077_2023-09-05_final
2023-09-08 10:42:24	ga_ls8c_ard_3-2-1_104073_2023-09-08_final
2023-09-23 09:57:38	ga_ls8c_ard_3-2-1_097069_2023-09-23_final
2023-09-29 09:22:36	ga_ls8c_ard_3-2-1_091074_2023-09-28_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-12-03 10:04:19	ga_ls8c_ard_3-2-1_098070_2023-12-03_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2024-02-05 10:04:14	ga_ls8c_ard_3-2-1_098070_2024-02-05_final
2024-02-19 10:19:22	ga_ls8c_ard_3-2-1_100077_2024-02-19_final
2024-02-28 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-02-28_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