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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

80 results

Time (local)	Label
2013-03-25 10:38:52	ga_ls8c_ard_3-0-0_103081_2013-03-25_final
2013-04-08 09:44:52	ga_ls8c_ard_3-0-0_094073_2013-04-08_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2013-09-19 10:51:21	ga_ls8c_ard_3-0-0_105075_2013-09-19_final
2013-10-26 11:08:06	ga_ls8c_ard_3-0-0_108071_2013-10-26_final
2013-12-11 09:47:00	ga_ls8c_ard_3-0-0_094085_2013-12-11_final
2013-12-30 10:12:08	ga_ls8c_ard_3-0-0_099071_2013-12-30_final
2014-04-18 09:38:09	ga_ls8c_ard_3-0-0_094067_2014-04-18_final
2014-04-25 09:46:39	ga_ls8c_ard_3-0-0_095073_2014-04-25_final
2014-10-21 10:17:32	ga_ls8c_ard_3-0-0_100072_2014-10-21_final
2014-11-24 10:09:55	ga_ls8c_ard_3-0-0_098084_2014-11-24_final
2014-12-14 09:40:43	ga_ls8c_ard_3-0-0_094073_2014-12-14_final
2015-04-10 09:57:20	ga_ls8c_ard_3-0-0_097070_2015-04-10_final
2015-06-02 11:57:43	ga_ls8c_ard_3-0-0_116078_2015-06-02_final
2015-06-24 11:19:38	ga_ls8c_ard_3-0-0_110075_2015-06-24_final
2015-10-01 10:13:56	ga_ls8c_ard_3-0-0_099079_2015-10-01_final
2015-10-10 11:45:50	ga_ls8c_ard_3-0-0_114077_2015-10-10_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-02-09 10:40:26	ga_ls8c_ard_3-0-0_104068_2016-02-09_final
2016-04-15 10:28:03	ga_ls8c_ard_3-0-0_102069_2016-04-15_final
2016-05-28 10:12:46	ga_ls8c_ard_3-0-0_099077_2016-05-28_final
2016-06-15 11:35:21	ga_ls8c_ard_3-0-0_113067_2016-06-15_final
2016-07-08 11:44:56	ga_ls8c_ard_3-0-0_114075_2016-07-08_final
2016-08-10 10:47:02	ga_ls8c_ard_3-0-0_105069_2016-08-10_final
2016-10-13 09:11:38	ga_ls8c_ard_3-0-0_089077_2016-10-12_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2016-12-22 10:10:34	ga_ls8c_ard_3-0-0_099070_2016-12-22_final
2017-01-24 10:54:29	ga_ls8c_ard_3-0-0_106072_2017-01-24_final
2017-01-26 10:42:55	ga_ls8c_ard_3-0-0_104074_2017-01-26_final
2017-02-07 11:05:56	ga_ls8c_ard_3-0-0_108070_2017-02-07_final
2018-04-29 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-04-29_final
2018-05-24 11:13:49	ga_ls8c_ard_3-0-0_109077_2018-05-24_final
2018-07-01 10:33:18	ga_ls8c_ard_3-0-0_103068_2018-07-01_final
2018-08-17 09:51:14	ga_ls8c_ard_3-0-0_096070_2018-08-17_final
2018-08-26 11:24:00	ga_ls8c_ard_3-0-0_111070_2018-08-26_final
2018-08-31 10:04:06	ga_ls8c_ard_3-0-0_098071_2018-08-31_final
2018-11-17 10:19:14	ga_ls8c_ard_3-0-0_100077_2018-11-17_final
2018-12-14 10:01:49	ga_ls8c_ard_3-0-0_097080_2018-12-14_final
2019-01-23 09:12:43	ga_ls8c_ard_3-0-0_089081_2019-01-22_final
2019-03-13 11:29:05	ga_ls8c_ard_3-1-0_112067_2019-03-13_final
2019-05-04 09:33:18	ga_ls8c_ard_3-0-0_092087_2019-05-04_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-07-04 10:37:21	ga_ls8c_ard_3-1-0_103076_2019-07-04_final
2019-09-04 09:12:19	ga_ls8c_ard_3-1-0_089079_2019-09-03_final
2020-01-13 11:19:17	ga_ls8c_ard_3-1-0_110072_2020-01-13_final
2020-02-07 09:38:53	ga_ls8c_ard_3-1-0_093084_2020-02-07_final
2020-02-19 10:01:10	ga_ls8c_ard_3-1-0_097078_2020-02-19_final
2020-04-15 09:11:19	ga_ls8c_ard_3-1-0_089078_2020-04-14_final
2020-06-05 11:19:27	ga_ls8c_ard_3-1-0_110074_2020-06-05_final
2020-06-12 11:23:18	ga_ls8c_ard_3-1-0_111068_2020-06-12_final
2020-06-12 11:24:06	ga_ls8c_ard_3-1-0_111070_2020-06-12_final
2020-08-27 10:10:50	ga_ls8c_ard_3-1-0_099071_2020-08-27_final
2020-11-23 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-11-22_final
2020-12-01 10:11:04	ga_ls8c_ard_3-1-0_099071_2020-12-01_final
2021-06-10 09:33:15	ga_ls8c_ard_3-2-0_092086_2021-06-10_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2021-11-06 09:46:49	ga_ls8c_ard_3-2-0_095072_2021-11-06_final
2021-11-11 10:04:31	ga_ls8c_ard_3-2-0_098070_2021-11-11_final
2021-11-18 10:13:03	ga_ls8c_ard_3-2-0_099076_2021-11-18_final
2022-01-15 10:47:14	ga_ls8c_ard_3-2-1_105069_2022-01-15_final
2022-01-16 11:36:04	ga_ls8c_ard_3-2-1_112083_2022-01-16_final
2022-01-30 10:09:52	ga_ls8c_ard_3-2-1_098084_2022-01-30_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-05-05 09:24:19	ga_ls8c_ard_3-2-1_091079_2022-05-04_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-05-23 09:16:27	ga_ls8c_ard_3-2-1_089090_2022-05-22_final
2022-06-08 09:12:12	ga_ls8c_ard_3-2-1_089079_2022-06-07_final
2022-06-16 11:38:38	ga_ls8c_ard_3-2-1_113074_2022-06-16_final
2022-06-18 11:24:41	ga_ls8c_ard_3-2-1_111070_2022-06-18_final
2022-09-06 11:30:38	ga_ls8c_ard_3-2-1_111084_2022-09-06_final
2022-10-05 10:53:24	ga_ls8c_ard_3-2-1_106068_2022-10-05_final
2022-10-22 11:41:50	ga_ls8c_ard_3-2-1_113081_2022-10-22_final
2023-03-22 10:07:12	ga_ls8c_ard_3-2-1_098078_2023-03-22_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-10-25 11:38:38	ga_ls8c_ard_3-2-1_113074_2023-10-25_final
2023-12-20 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-12-19_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-05 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-01-04_final
2024-01-08 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-01-08_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years