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

94 results

Time (local)	Label
2013-05-26 11:16:10	ga_ls8c_ard_3-1-0_109075_2013-05-26_final
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2013-07-01 09:14:05	ga_ls8c_ard_3-0-0_089079_2013-06-30_final
2013-07-10 10:45:13	ga_ls8c_ard_3-0-0_104075_2013-07-10_final
2013-11-01 10:30:36	ga_ls8c_ard_3-0-0_102070_2013-11-01_final
2014-03-29 10:07:34	ga_ls8c_ard_3-0-0_098078_2014-03-29_final
2014-03-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-03-29_final
2014-04-09 11:23:24	ga_ls8c_ard_3-0-0_111067_2014-04-09_final
2014-05-23 10:09:49	ga_ls8c_ard_3-0-0_099070_2014-05-23_final
2014-10-02 11:24:15	ga_ls8c_ard_3-0-0_111069_2014-10-02_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-22 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-10-21_final
2014-10-27 09:40:01	ga_ls8c_ard_3-0-0_094071_2014-10-27_final
2014-11-09 10:50:26	ga_ls8c_ard_3-0-0_105077_2014-11-09_final
2014-12-23 09:33:46	ga_ls8c_ard_3-0-0_093071_2014-12-23_final
2015-01-23 10:28:49	ga_ls8c_ard_3-0-0_102070_2015-01-23_final
2015-02-04 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-02-03_final
2015-02-25 09:33:27	ga_ls8c_ard_3-0-0_093071_2015-02-25_final
2015-03-01 09:09:53	ga_ls8c_ard_3-0-0_089074_2015-02-28_final
2015-06-28 10:58:08	ga_ls8c_ard_3-0-0_106083_2015-06-28_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-01-26 10:28:57	ga_ls8c_ard_3-0-0_102070_2016-01-26_final
2016-05-02 09:34:04	ga_ls8c_ard_3-0-0_093073_2016-05-02_final
2016-07-17 11:42:24	ga_ls8c_ard_3-0-0_113084_2016-07-17_final
2016-08-29 09:45:11	ga_ls8c_ard_3-0-0_094084_2016-08-29_final
2016-09-30 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-30_final
2016-10-12 10:03:16	ga_ls8c_ard_3-0-0_098067_2016-10-12_final
2016-12-26 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-12-26_final
2017-01-14 10:19:28	ga_ls8c_ard_3-0-0_100077_2017-01-14_final
2017-02-02 10:48:38	ga_ls8c_ard_3-0-0_105073_2017-02-02_final
2017-02-18 09:10:27	ga_ls8c_ard_3-0-0_089075_2017-02-17_final
2017-02-28 11:24:21	ga_ls8c_ard_3-0-0_111070_2017-02-28_final
2017-03-25 09:39:50	ga_ls8c_ard_3-0-0_094072_2017-03-25_final
2017-04-21 09:21:05	ga_ls8c_ard_3-0-0_091072_2017-04-20_final
2017-05-05 09:33:44	ga_ls8c_ard_3-0-0_093073_2017-05-05_final
2017-05-23 09:21:36	ga_ls8c_ard_3-0-0_091073_2017-05-22_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2018-02-10 11:05:23	ga_ls8c_ard_3-0-0_108069_2018-02-10_final
2018-03-04 10:29:44	ga_ls8c_ard_3-0-0_102073_2018-03-04_final
2018-03-16 09:16:15	ga_ls8c_ard_3-0-0_090075_2018-03-15_final
2018-05-10 09:27:09	ga_ls8c_ard_3-0-0_091088_2018-05-09_final
2018-05-24 09:39:20	ga_ls8c_ard_3-0-0_093088_2018-05-24_final
2018-07-25 11:28:54	ga_ls8c_ard_3-0-0_111083_2018-07-25_final
2018-08-07 09:16:27	ga_ls8c_ard_3-0-0_090076_2018-08-06_final
2018-09-06 09:28:14	ga_ls8c_ard_3-0-0_092074_2018-09-05_final
2018-11-21 09:57:42	ga_ls8c_ard_3-0-0_096085_2018-11-21_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2018-12-22 09:11:59	ga_ls8c_ard_3-0-0_089079_2018-12-21_final
2019-01-01 11:23:10	ga_ls8c_ard_3-0-0_111067_2019-01-01_final
2019-01-30 09:16:28	ga_ls8c_ard_3-0-0_090075_2019-01-29_final
2019-03-06 11:25:20	ga_ls8c_ard_3-0-0_111073_2019-03-06_final
2019-04-16 11:17:22	ga_ls8c_ard_3-1-0_110069_2019-04-16_final
2019-05-02 11:17:20	ga_ls8c_ard_3-0-0_110069_2019-05-02_final
2019-05-12 10:19:14	ga_ls8c_ard_3-0-0_100078_2019-05-12_final
2019-08-01 09:21:44	ga_ls8c_ard_3-1-0_091072_2019-07-31_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-02-15 10:25:31	ga_ls8c_ard_3-1-0_101077_2020-02-15_final
2020-06-07 09:32:37	ga_ls8c_ard_3-1-0_092085_2020-06-07_final
2020-06-15 10:18:57	ga_ls8c_ard_3-1-0_100077_2020-06-15_final
2020-08-03 09:23:14	ga_ls8c_ard_3-1-0_091076_2020-08-02_final
2020-09-18 11:17:11	ga_ls8c_ard_3-1-0_109082_2020-09-18_final
2020-09-20 09:21:57	ga_ls8c_ard_3-1-0_091072_2020-09-19_final
2020-09-28 10:14:37	ga_ls8c_ard_3-1-0_099080_2020-09-28_final
2021-01-18 11:52:33	ga_ls8c_ard_3-2-0_115078_2021-01-18_final
2021-03-22 09:30:28	ga_ls8c_ard_3-2-0_092079_2021-03-22_final
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-04-27 10:42:01	ga_ls8c_ard_3-2-0_104073_2021-04-27_final
2021-07-22 10:09:42	ga_ls8c_ard_3-2-0_098084_2021-07-22_final
2022-01-28 10:18:38	ga_ls8c_ard_3-2-1_100075_2022-01-28_final
2022-03-02 09:22:06	ga_ls8c_ard_3-2-1_091073_2022-03-01_final
2022-03-18 11:01:16	ga_ls8c_ard_3-2-1_107074_2022-03-18_final
2022-03-30 11:23:50	ga_ls8c_ard_3-2-1_111069_2022-03-30_final
2022-05-28 09:32:35	ga_ls8c_ard_3-2-1_092084_2022-05-28_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-10-07 10:43:01	ga_ls8c_ard_3-2-1_104073_2022-10-07_final
2022-10-14 09:10:37	ga_ls8c_ard_3-2-1_089074_2022-10-13_final
2022-10-18 10:26:02	ga_ls8c_ard_3-2-1_101077_2022-10-18_final
2022-10-22 09:58:09	ga_ls8c_ard_3-2-1_097069_2022-10-22_final
2022-12-09 09:57:43	ga_ls8c_ard_3-2-1_097068_2022-12-09_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-07-12 11:47:07	ga_ls8c_ard_3-2-1_114081_2023-07-12_final
2023-07-19 11:52:30	ga_ls8c_ard_3-2-1_115079_2023-07-19_final
2023-07-28 10:07:32	ga_ls8c_ard_3-2-1_098079_2023-07-28_final
2023-08-17 09:44:33	ga_ls8c_ard_3-2-1_094083_2023-08-17_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-08-29 11:47:25	ga_ls8c_ard_3-2-1_114081_2023-08-29_final
2023-09-05 10:13:05	ga_ls8c_ard_3-2-1_099077_2023-09-05_final
2023-10-24 09:22:52	ga_ls8c_ard_3-2-1_090090_2023-10-23_final
2023-11-15 11:58:46	ga_ls8c_ard_3-2-1_116078_2023-11-15_final
2023-11-18 09:13:32	ga_ls8c_ard_3-2-1_089082_2023-11-17_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-04-26 09:15:33	ga_ls8c_ard_3-2-1_089089_2024-04-25_nrt

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