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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

81 results

Time (local)	Label
2013-07-06 09:31:03	ga_ls8c_ard_3-0-0_092075_2013-07-06_final
2013-07-18 09:52:33	ga_ls8c_ard_3-0-0_096067_2013-07-18_final
2013-08-08 11:53:13	ga_ls8c_ard_3-0-0_115075_2013-08-08_final
2014-01-17 10:02:18	ga_ls8c_ard_3-0-0_097078_2014-01-17_final
2014-05-18 09:50:07	ga_ls8c_ard_3-0-0_096067_2014-05-18_final
2014-06-03 11:29:30	ga_ls8c_ard_3-0-0_112068_2014-06-03_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-12-07 11:14:16	ga_ls8c_ard_3-1-0_109075_2014-12-07_final
2014-12-13 10:39:31	ga_ls8c_ard_3-0-0_103081_2014-12-13_final
2014-12-21 09:46:56	ga_ls8c_ard_3-0-0_095073_2014-12-21_final
2014-12-28 09:50:39	ga_ls8c_ard_3-0-0_096067_2014-12-28_final
2015-05-23 11:16:58	ga_ls8c_ard_3-0-0_110069_2015-05-23_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-12-07 09:06:28	ga_ls8c_ard_3-0-0_088080_2015-12-06_final
2015-12-10 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-12-10_final
2016-02-23 09:16:59	ga_ls8c_ard_3-0-0_090076_2016-02-22_final
2016-06-06 10:06:13	ga_ls8c_ard_3-0-0_098076_2016-06-06_final
2016-06-22 10:09:05	ga_ls8c_ard_3-0-0_098083_2016-06-22_final
2016-10-02 11:11:23	ga_ls8c_ard_3-0-0_108083_2016-10-02_final
2016-10-20 10:55:08	ga_ls8c_ard_3-0-0_106073_2016-10-20_final
2017-07-02 10:10:06	ga_ls8c_ard_3-0-0_099070_2017-07-02_final
2017-07-27 10:03:40	ga_ls8c_ard_3-0-0_098069_2017-07-27_final
2017-08-16 09:39:53	ga_ls8c_ard_3-0-0_094071_2017-08-16_final
2017-08-21 09:58:02	ga_ls8c_ard_3-0-0_097070_2017-08-21_final
2017-10-06 10:10:11	ga_ls8c_ard_3-0-0_099069_2017-10-06_final
2017-10-17 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-10-17_final
2017-10-29 10:19:36	ga_ls8c_ard_3-0-0_100077_2017-10-29_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-11 11:24:45	ga_ls8c_ard_3-0-0_111070_2017-11-11_final
2017-11-18 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-11-18_final
2018-01-04 09:11:51	ga_ls8c_ard_3-0-0_089078_2018-01-03_final
2018-01-19 10:04:34	ga_ls8c_ard_3-0-0_098071_2018-01-19_final
2018-02-10 09:34:05	ga_ls8c_ard_3-0-0_092088_2018-02-10_final
2018-03-12 11:19:30	ga_ls8c_ard_3-0-0_110074_2018-03-12_final
2018-04-03 09:06:58	ga_ls8c_ard_3-0-0_088083_2018-04-02_final
2018-04-09 10:03:31	ga_ls8c_ard_3-0-0_098070_2018-04-09_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-07-11 09:33:11	ga_ls8c_ard_3-0-0_093072_2018-07-11_final
2018-09-17 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-09-17_final
2018-09-22 09:27:31	ga_ls8c_ard_3-0-0_092072_2018-09-21_final
2018-10-17 11:01:37	ga_ls8c_ard_3-0-0_107075_2018-10-17_final
2018-10-20 11:31:20	ga_ls8c_ard_3-0-0_112072_2018-10-20_final
2018-11-12 10:03:53	ga_ls8c_ard_3-0-0_097085_2018-11-12_final
2018-11-14 09:50:44	ga_ls8c_ard_3-0-0_095083_2018-11-14_final
2018-11-21 09:50:31	ga_ls8c_ard_3-0-0_096067_2018-11-21_final
2019-05-10 10:32:22	ga_ls8c_ard_3-0-0_102080_2019-05-10_final
2019-06-12 09:33:51	ga_ls8c_ard_3-1-0_093072_2019-06-12_final
2019-06-21 11:11:00	ga_ls8c_ard_3-1-0_108083_2019-06-21_final
2019-07-03 09:50:30	ga_ls8c_ard_3-1-0_096067_2019-07-03_final
2019-11-07 09:12:29	ga_ls8c_ard_3-1-0_089079_2019-11-06_final
2020-02-11 09:14:33	ga_ls8c_ard_3-1-0_089085_2020-02-10_final
2020-02-13 10:39:52	ga_ls8c_ard_3-1-0_103082_2020-02-13_final
2020-05-13 11:13:32	ga_ls8c_ard_3-1-0_109075_2020-05-13_final
2020-06-28 09:44:10	ga_ls8c_ard_3-1-0_095067_2020-06-28_final
2020-07-02 12:37:15	ga_ls8c_ard_3-2-1_123067_2020-07-02_final
2020-08-17 09:40:27	ga_ls8c_ard_3-1-0_093088_2020-08-17_final
2020-08-21 09:12:11	ga_ls8c_ard_3-1-0_089079_2020-08-20_final
2020-10-24 10:48:08	ga_ls8c_ard_3-1-0_105071_2020-10-24_final
2021-05-22 10:37:30	ga_ls8c_ard_3-2-0_103077_2021-05-22_final
2021-05-27 10:52:06	ga_ls8c_ard_3-2-0_106067_2021-05-27_final
2021-05-28 11:35:22	ga_ls8c_ard_3-2-0_113067_2021-05-28_final
2021-08-08 09:13:49	ga_ls8c_ard_3-2-0_089083_2021-08-07_final
2021-11-17 09:34:59	ga_ls8c_ard_3-2-0_092089_2021-11-17_final
2021-12-12 11:05:18	ga_ls8c_ard_3-2-1_107083_2021-12-12_final
2022-01-04 09:28:07	ga_ls8c_ard_3-2-1_092072_2022-01-03_final
2022-02-07 09:21:37	ga_ls8c_ard_3-2-1_090087_2022-02-06_final
2022-03-16 11:14:51	ga_ls8c_ard_3-2-1_109077_2022-03-16_final
2022-08-17 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-08-17_final
2022-09-26 09:22:20	ga_ls8c_ard_3-2-1_091072_2022-09-25_final
2022-10-12 09:22:36	ga_ls8c_ard_3-2-1_091073_2022-10-11_final
2022-12-08 09:17:15	ga_ls8c_ard_3-2-1_090075_2022-12-07_final
2023-01-02 09:12:08	ga_ls8c_ard_3-2-1_089078_2023-01-01_final
2023-01-09 09:17:05	ga_ls8c_ard_3-2-1_090075_2023-01-08_final
2023-09-07 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-09-07_final
2023-09-07 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-09-07_final
2023-10-08 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-10-07_final
2023-11-25 10:53:26	ga_ls8c_ard_3-2-1_106069_2023-11-25_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_final
2024-02-04 09:21:46	ga_ls8c_ard_3-2-1_091072_2024-02-03_final
2024-02-13 10:53:40	ga_ls8c_ard_3-2-1_106070_2024-02-13_final
2024-04-15 09:28:12	ga_ls8c_ard_3-2-1_092074_2024-04-14_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