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
2013-05-20 10:12:21	ga_ls8c_ard_3-0-0_099070_2013-05-20_final
2013-07-13 11:18:54	ga_ls8c_ard_3-0-0_109082_2013-07-13_final
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2014-05-02 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-05-02_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-11-10 11:32:06	ga_ls8c_ard_3-0-0_112073_2014-11-10_final
2015-02-24 10:30:16	ga_ls8c_ard_3-0-0_102074_2015-02-24_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2015-03-30 10:18:45	ga_ls8c_ard_3-0-0_100077_2015-03-30_final
2015-04-04 10:38:49	ga_ls8c_ard_3-0-0_103081_2015-04-04_final
2015-04-06 10:27:15	ga_ls8c_ard_3-0-0_101083_2015-04-06_final
2015-12-01 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-01_final
2016-01-31 10:49:28	ga_ls8c_ard_3-0-0_105075_2016-01-31_final
2016-03-17 11:05:10	ga_ls8c_ard_3-0-0_107084_2016-03-17_final
2016-05-23 11:31:05	ga_ls8c_ard_3-0-0_112072_2016-05-23_final
2016-05-30 11:38:06	ga_ls8c_ard_3-0-0_113074_2016-05-30_final
2016-10-30 09:58:31	ga_ls8c_ard_3-0-0_096086_2016-10-30_final
2016-10-31 10:39:47	ga_ls8c_ard_3-0-0_103081_2016-10-31_final
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2016-12-24 11:35:53	ga_ls8c_ard_3-0-0_113067_2016-12-24_final
2017-04-18 10:28:18	ga_ls8c_ard_3-0-0_102070_2017-04-18_final
2017-04-22 10:08:43	ga_ls8c_ard_3-0-0_098083_2017-04-22_final
2017-06-30 10:25:39	ga_ls8c_ard_3-0-0_101078_2017-06-30_final
2017-07-18 10:10:11	ga_ls8c_ard_3-0-0_099070_2017-07-18_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-05-22 11:23:01	ga_ls8c_ard_3-0-0_111069_2018-05-22_final
2018-06-12 10:06:11	ga_ls8c_ard_3-0-0_098078_2018-06-12_final
2018-08-10 11:23:29	ga_ls8c_ard_3-0-0_111069_2018-08-10_final
2018-09-14 10:19:19	ga_ls8c_ard_3-0-0_100078_2018-09-14_final
2018-11-22 10:35:47	ga_ls8c_ard_3-0-0_103072_2018-11-22_final
2019-02-09 09:50:21	ga_ls8c_ard_3-0-0_096067_2019-02-09_final
2019-03-07 10:32:54	ga_ls8c_ard_3-1-0_102081_2019-03-07_final
2019-03-24 11:14:06	ga_ls8c_ard_3-1-0_109076_2019-03-24_final
2019-04-13 10:48:29	ga_ls8c_ard_3-1-0_105074_2019-04-13_final
2019-05-16 09:56:57	ga_ls8c_ard_3-0-0_096084_2019-05-16_final
2019-08-18 10:08:17	ga_ls8c_ard_3-1-0_098080_2019-08-18_final
2019-08-24 11:06:07	ga_ls8c_ard_3-1-0_108070_2019-08-24_final
2019-08-29 11:24:41	ga_ls8c_ard_3-1-0_111070_2019-08-29_final
2019-09-22 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-09-22_final
2019-10-01 10:28:25	ga_ls8c_ard_3-1-0_102068_2019-10-01_final
2019-11-13 10:14:40	ga_ls8c_ard_3-1-0_099080_2019-11-13_final
2019-12-10 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-12-10_final
2020-01-20 09:51:21	ga_ls8c_ard_3-1-0_095084_2020-01-20_final
2020-03-03 11:10:41	ga_ls8c_ard_3-1-0_108082_2020-03-03_final
2020-03-20 10:10:09	ga_ls8c_ard_3-1-0_099070_2020-03-20_final
2020-03-21 10:55:23	ga_ls8c_ard_3-1-0_106075_2020-03-21_final
2020-05-08 10:54:59	ga_ls8c_ard_3-1-0_106075_2020-05-08_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-07-05 11:31:17	ga_ls8c_ard_3-1-0_112072_2020-07-05_final
2020-07-25 11:07:52	ga_ls8c_ard_3-1-0_108075_2020-07-25_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-10-15 10:53:08	ga_ls8c_ard_3-1-0_106068_2020-10-15_final
2020-10-29 11:08:16	ga_ls8c_ard_3-1-0_108075_2020-10-29_final
2020-12-01 10:10:40	ga_ls8c_ard_3-1-0_099070_2020-12-01_final
2021-01-06 09:44:39	ga_ls8c_ard_3-2-0_095067_2021-01-06_final
2021-01-25 10:17:03	ga_ls8c_ard_3-2-0_100071_2021-01-25_final
2021-03-13 09:34:19	ga_ls8c_ard_3-2-0_093073_2021-03-13_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-04-14 11:13:25	ga_ls8c_ard_3-2-0_109074_2021-04-14_final
2021-06-01 09:39:22	ga_ls8c_ard_3-2-0_093086_2021-06-01_final
2021-06-03 09:27:50	ga_ls8c_ard_3-2-0_091088_2021-06-02_final
2021-06-13 09:57:00	ga_ls8c_ard_3-2-0_097068_2021-06-13_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-20 11:13:54	ga_ls8c_ard_3-2-0_109074_2021-08-20_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-10-09 09:22:29	ga_ls8c_ard_3-2-0_091073_2021-10-08_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2022-02-07 09:22:01	ga_ls8c_ard_3-2-1_090088_2022-02-06_final
2022-02-08 11:42:09	ga_ls8c_ard_3-2-1_113083_2022-02-08_final
2022-04-10 09:28:52	ga_ls8c_ard_3-2-1_092075_2022-04-09_final
2022-04-12 09:20:07	ga_ls8c_ard_3-2-1_090084_2022-04-11_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-07-14 10:25:42	ga_ls8c_ard_3-2-1_101077_2022-07-14_final
2022-07-24 09:22:25	ga_ls8c_ard_3-2-1_091073_2022-07-23_final
2022-07-26 10:49:46	ga_ls8c_ard_3-2-1_105075_2022-07-26_final
2022-08-17 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-08-17_final
2022-08-18 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-08-17_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-26 11:15:09	ga_ls8c_ard_3-2-1_109076_2022-10-26_final
2022-12-07 11:52:57	ga_ls8c_ard_3-2-1_115078_2022-12-07_final
2023-01-08 10:11:07	ga_ls8c_ard_3-2-1_099071_2023-01-08_final
2023-01-21 11:20:38	ga_ls8c_ard_3-2-1_110075_2023-01-21_final
2023-02-27 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-02-27_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-04-24 09:12:26	ga_ls8c_ard_3-2-1_089081_2023-04-23_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-07-11 12:37:09	ga_ls8c_ard_3-2-1_123067_2023-07-11_final
2023-07-19 10:08:26	ga_ls8c_ard_3-2-1_099066_2023-07-19_final
2023-08-01 11:20:09	ga_ls8c_ard_3-2-1_110075_2023-08-01_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-11-07 11:08:07	ga_ls8c_ard_3-2-1_108075_2023-11-07_final
2023-11-17 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-17_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-02-15 10:42:29	ga_ls8c_ard_3-2-1_104073_2024-02-15_final
2024-03-14 09:28:30	ga_ls8c_ard_3-2-1_092074_2024-03-13_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