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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

74 results

Time (local)	Label
2013-05-01 11:22:05	ga_ls8c_ard_3-0-0_110075_2013-05-01_final
2013-11-06 10:49:57	ga_ls8c_ard_3-0-0_105072_2013-11-06_final
2014-04-16 09:51:44	ga_ls8c_ard_3-0-0_096070_2014-04-16_final
2014-08-30 09:06:49	ga_ls8c_ard_3-1-0_088081_2014-08-29_final
2015-01-06 11:24:32	ga_ls8c_ard_3-0-0_111070_2015-01-06_final
2015-03-31 09:22:19	ga_ls8c_ard_3-0-0_091075_2015-03-30_final
2015-04-08 11:51:47	ga_ls8c_ard_3-0-0_115078_2015-04-08_final
2015-07-13 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-07-13_final
2015-09-25 09:10:31	ga_ls8c_ard_3-0-0_089075_2015-09-24_final
2015-12-04 10:10:04	ga_ls8c_ard_3-0-0_099069_2015-12-04_final
2016-02-22 10:09:49	ga_ls8c_ard_3-0-0_099069_2016-02-22_final
2016-04-20 09:09:40	ga_ls8c_ard_3-0-0_089074_2016-04-19_final
2016-05-13 10:52:43	ga_ls8c_ard_3-0-0_106069_2016-05-13_final
2016-05-23 09:50:12	ga_ls8c_ard_3-0-0_096067_2016-05-23_final
2016-06-29 10:12:57	ga_ls8c_ard_3-0-0_099077_2016-06-29_final
2016-10-13 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-10-12_final
2016-12-31 10:10:22	ga_ls8c_ard_3-0-0_098085_2016-12-31_final
2017-01-11 11:24:40	ga_ls8c_ard_3-0-0_111070_2017-01-11_final
2017-02-01 10:07:23	ga_ls8c_ard_3-0-0_098078_2017-02-01_final
2017-02-03 09:51:49	ga_ls8c_ard_3-0-0_096070_2017-02-03_final
2017-06-17 09:20:00	ga_ls8c_ard_3-0-0_090084_2017-06-16_final
2017-06-26 09:14:16	ga_ls8c_ard_3-0-0_089085_2017-06-25_final
2017-07-08 11:17:31	ga_ls8c_ard_3-0-0_109084_2017-07-08_final
2017-09-08 09:51:18	ga_ls8c_ard_3-0-0_095084_2017-09-08_final
2018-06-20 09:16:27	ga_ls8c_ard_3-0-0_090077_2018-06-19_final
2018-09-16 10:03:46	ga_ls8c_ard_3-0-0_098070_2018-09-16_final
2018-10-10 10:55:23	ga_ls8c_ard_3-0-0_106075_2018-10-10_final
2018-12-18 11:16:47	ga_ls8c_ard_3-0-0_109082_2018-12-18_final
2019-01-18 10:33:05	ga_ls8c_ard_3-0-0_102081_2019-01-18_final
2019-01-30 09:17:16	ga_ls8c_ard_3-0-0_090077_2019-01-29_final
2019-03-15 11:18:42	ga_ls8c_ard_3-1-0_110072_2019-03-15_final
2019-04-11 09:28:21	ga_ls8c_ard_3-1-0_091090_2019-04-10_final
2019-04-12 10:03:14	ga_ls8c_ard_3-1-0_098069_2019-04-12_final
2019-05-14 10:04:06	ga_ls8c_ard_3-0-0_098071_2019-05-14_final
2019-09-15 10:29:08	ga_ls8c_ard_3-1-0_102070_2019-09-15_final
2019-11-04 10:20:29	ga_ls8c_ard_3-1-0_100079_2019-11-04_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2019-11-23 10:49:19	ga_ls8c_ard_3-1-0_105074_2019-11-23_final
2020-02-14 11:18:21	ga_ls8c_ard_3-1-0_110070_2020-02-14_final
2020-04-05 10:13:35	ga_ls8c_ard_3-1-0_099079_2020-04-05_final
2020-05-07 10:13:19	ga_ls8c_ard_3-1-0_099079_2020-05-07_final
2020-06-01 10:04:03	ga_ls8c_ard_3-1-0_098071_2020-06-01_final
2020-08-31 11:24:38	ga_ls8c_ard_3-1-0_111070_2020-08-31_final
2020-10-14 10:11:04	ga_ls8c_ard_3-1-0_099071_2020-10-14_final
2020-11-16 10:53:05	ga_ls8c_ard_3-1-0_106068_2020-11-16_final
2020-12-21 09:44:44	ga_ls8c_ard_3-2-0_095067_2020-12-21_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2021-01-03 09:22:09	ga_ls8c_ard_3-2-0_090088_2021-01-02_final
2021-01-03 10:53:03	ga_ls8c_ard_3-2-0_106068_2021-01-03_final
2021-03-24 10:52:36	ga_ls8c_ard_3-2-0_106068_2021-03-24_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-05-15 10:28:03	ga_ls8c_ard_3-2-0_102069_2021-05-15_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-10-11 09:12:31	ga_ls8c_ard_3-2-0_089079_2021-10-10_final
2021-12-23 10:44:44	ga_ls8c_ard_3-2-1_104078_2021-12-23_final
2022-01-15 09:13:08	ga_ls8c_ard_3-2-1_089081_2022-01-14_final
2022-02-14 09:22:34	ga_ls8c_ard_3-2-1_091074_2022-02-13_final
2022-07-25 10:07:41	ga_ls8c_ard_3-2-1_098078_2022-07-25_final
2022-08-17 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-08-17_final
2022-11-04 09:33:42	ga_ls8c_ard_3-2-1_092085_2022-11-04_final
2022-11-14 10:04:43	ga_ls8c_ard_3-2-1_098070_2022-11-14_final
2023-01-16 11:00:28	ga_ls8c_ard_3-2-1_107071_2023-01-16_final
2023-02-27 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-02-27_final
2023-02-28 09:07:11	ga_ls8c_ard_3-2-1_088082_2023-02-27_final
2023-03-07 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-03-06_final
2023-04-07 10:06:36	ga_ls8c_ard_3-2-1_098077_2023-04-07_final
2023-08-27 10:18:54	ga_ls8c_ard_3-2-1_100076_2023-08-27_final
2023-09-15 10:49:27	ga_ls8c_ard_3-2-1_105075_2023-09-15_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-11-08 10:13:40	ga_ls8c_ard_3-2-1_099078_2023-11-08_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years