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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

65 results

Time (local)	Label
2013-10-11 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-10-11_final
2013-12-23 10:08:48	ga_ls8c_ard_3-0-0_098078_2013-12-23_final
2014-01-22 10:22:50	ga_ls8c_ard_3-0-0_100083_2014-01-22_final
2014-02-27 11:32:33	ga_ls8c_ard_3-0-0_112073_2014-02-27_final
2014-07-19 10:09:36	ga_ls8c_ard_3-0-0_098084_2014-07-19_final
2014-07-21 11:30:33	ga_ls8c_ard_3-0-0_112070_2014-07-21_final
2014-07-28 10:03:28	ga_ls8c_ard_3-0-0_097084_2014-07-28_final
2014-12-25 09:22:11	ga_ls8c_ard_3-0-0_091073_2014-12-24_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-03-16 11:41:26	ga_ls8c_ard_3-0-0_114067_2015-03-16_final
2015-04-17 10:03:56	ga_ls8c_ard_3-0-0_098071_2015-04-17_final
2015-05-21 09:51:14	ga_ls8c_ard_3-0-0_096071_2015-05-21_final
2015-05-25 11:06:36	ga_ls8c_ard_3-0-0_108074_2015-05-25_final
2015-06-15 09:43:42	ga_ls8c_ard_3-0-0_095067_2015-06-15_final
2015-08-31 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-08-30_final
2015-09-07 09:21:56	ga_ls8c_ard_3-0-0_091073_2015-09-06_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-08-13 11:19:57	ga_ls8c_ard_3-0-0_110074_2016-08-13_final
2016-08-27 11:29:38	ga_ls8c_ard_3-0-0_112067_2016-08-27_final
2016-09-07 11:14:20	ga_ls8c_ard_3-0-0_109075_2016-09-07_final
2016-11-24 09:44:45	ga_ls8c_ard_3-0-0_095067_2016-11-24_final
2017-01-16 10:04:18	ga_ls8c_ard_3-0-0_098070_2017-01-16_final
2017-02-25 09:16:59	ga_ls8c_ard_3-0-0_090076_2017-02-24_final
2017-05-03 09:46:04	ga_ls8c_ard_3-0-0_095073_2017-05-03_final
2018-01-19 10:04:34	ga_ls8c_ard_3-0-0_098071_2018-01-19_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-06-09 11:12:32	ga_ls8c_ard_3-0-0_109074_2018-06-09_final
2018-07-13 09:21:14	ga_ls8c_ard_3-0-0_091073_2018-07-12_final
2018-09-07 10:12:42	ga_ls8c_ard_3-0-0_099077_2018-09-07_final
2019-01-25 10:34:02	ga_ls8c_ard_3-0-0_103068_2019-01-25_final
2019-01-31 09:57:44	ga_ls8c_ard_3-0-0_097070_2019-01-31_final
2019-03-24 11:13:42	ga_ls8c_ard_3-1-0_109075_2019-03-24_final
2019-04-26 10:18:41	ga_ls8c_ard_3-0-0_100077_2019-04-26_final
2019-06-05 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-06-05_final
2019-10-28 10:13:55	ga_ls8c_ard_3-1-0_099078_2019-10-28_final
2020-04-20 09:31:25	ga_ls8c_ard_3-1-0_092082_2020-04-20_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-06-24 10:12:51	ga_ls8c_ard_3-1-0_099077_2020-06-24_final
2020-08-22 11:34:44	ga_ls8c_ard_3-1-0_112080_2020-08-22_final
2020-08-24 09:39:55	ga_ls8c_ard_3-1-0_094071_2020-08-24_final
2020-09-22 09:10:48	ga_ls8c_ard_3-1-0_089075_2020-09-21_final
2020-11-21 11:14:26	ga_ls8c_ard_3-1-0_109075_2020-11-21_final
2021-02-23 09:45:38	ga_ls8c_ard_3-2-0_095070_2021-02-23_final
2021-07-01 09:47:06	ga_ls8c_ard_3-2-0_095074_2021-07-01_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-08-08 10:49:30	ga_ls8c_ard_3-2-0_105075_2021-08-08_final
2021-08-15 09:17:39	ga_ls8c_ard_3-2-0_090077_2021-08-14_final
2021-08-19 10:29:02	ga_ls8c_ard_3-2-0_102070_2021-08-19_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2022-02-23 09:21:31	ga_ls8c_ard_3-2-1_090087_2022-02-22_final
2022-04-18 10:20:44	ga_ls8c_ard_3-2-1_100081_2022-04-18_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-07-16 10:13:20	ga_ls8c_ard_3-2-1_099077_2022-07-16_final
2022-09-08 11:14:18	ga_ls8c_ard_3-2-1_109074_2022-09-08_final
2022-10-16 10:37:10	ga_ls8c_ard_3-2-1_103074_2022-10-16_final
2023-03-10 09:40:12	ga_ls8c_ard_3-2-1_094072_2023-03-10_final
2023-04-30 11:51:05	ga_ls8c_ard_3-2-1_115076_2023-04-30_final
2023-05-07 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-05-07_final
2023-07-21 09:58:52	ga_ls8c_ard_3-2-1_097073_2023-07-21_final
2023-08-04 10:15:22	ga_ls8c_ard_3-2-1_099083_2023-08-04_final
2024-01-22 11:31:32	ga_ls8c_ard_3-2-1_112072_2024-01-22_final
2024-02-22 10:47:04	ga_ls8c_ard_3-2-1_105069_2024-02-22_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-04-20 11:29:32	ga_ls8c_ard_3-2-1_111084_2024-04-20_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