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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
2013-07-02 11:31:27	ga_ls8c_ard_3-0-0_112067_2013-07-02_final
2014-01-16 09:18:39	ga_ls8c_ard_3-0-0_090077_2014-01-15_final
2014-02-02 10:01:49	ga_ls8c_ard_3-0-0_097077_2014-02-02_final
2015-07-23 09:10:07	ga_ls8c_ard_3-0-0_089075_2015-07-22_final
2015-09-06 11:57:38	ga_ls8c_ard_3-0-0_116076_2015-09-06_final
2015-11-09 11:57:30	ga_ls8c_ard_3-0-0_116075_2015-11-09_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-02-06 10:09:57	ga_ls8c_ard_3-0-0_099069_2016-02-06_final
2016-02-17 11:29:23	ga_ls8c_ard_3-0-0_112067_2016-02-17_final
2016-07-03 09:44:16	ga_ls8c_ard_3-0-0_095067_2016-07-03_final
2016-07-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2016-07-24_final
2016-08-06 09:32:28	ga_ls8c_ard_3-0-0_093068_2016-08-06_final
2017-02-07 09:25:51	ga_ls8c_ard_3-0-0_092067_2017-02-06_final
2017-06-15 11:11:14	ga_ls8c_ard_3-0-0_108084_2017-06-15_final
2017-08-05 09:57:09	ga_ls8c_ard_3-0-0_097068_2017-08-05_final
2017-09-27 11:58:00	ga_ls8c_ard_3-0-0_116076_2017-09-27_final
2017-10-10 09:44:41	ga_ls8c_ard_3-0-0_095067_2017-10-10_final
2017-10-20 10:22:59	ga_ls8c_ard_3-0-0_101070_2017-10-20_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-03-08 10:04:11	ga_ls8c_ard_3-1-0_098071_2018-03-08_final
2018-07-05 10:08:37	ga_ls8c_ard_3-0-0_099068_2018-07-05_final
2018-08-15 10:08:46	ga_ls8c_ard_3-0-0_098083_2018-08-15_final
2018-10-03 09:11:28	ga_ls8c_ard_3-0-0_089078_2018-10-02_final
2018-11-14 08:10:39	ga_ls8c_ard_3-2-1_079080_2018-11-13_final
2018-12-23 11:31:21	ga_ls8c_ard_3-0-0_112072_2018-12-23_final
2019-06-16 09:12:45	ga_ls8c_ard_3-1-0_089081_2019-06-15_final
2019-08-04 11:35:56	ga_ls8c_ard_3-1-0_112083_2019-08-04_final
2019-09-16 09:33:55	ga_ls8c_ard_3-1-0_093071_2019-09-16_final
2019-11-14 12:31:38	ga_ls8c_ard_3-2-1_122067_2019-11-14_final
2020-02-02 10:55:16	ga_ls8c_ard_3-1-0_106074_2020-02-02_final
2020-04-04 09:32:19	ga_ls8c_ard_3-1-0_092084_2020-04-04_final
2020-05-18 11:31:18	ga_ls8c_ard_3-1-0_112073_2020-05-18_final
2020-07-13 09:07:23	ga_ls8c_ard_3-1-0_088083_2020-07-12_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-09-28 10:16:37	ga_ls8c_ard_3-1-0_099085_2020-09-28_final
2020-10-12 10:23:01	ga_ls8c_ard_3-1-0_101070_2020-10-12_final
2021-01-02 10:10:12	ga_ls8c_ard_3-2-0_099069_2021-01-02_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-02-16 09:41:06	ga_ls8c_ard_3-2-0_094074_2021-02-16_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-16 09:22:10	ga_ls8c_ard_3-2-0_091074_2021-04-15_final
2021-04-24 10:10:20	ga_ls8c_ard_3-2-0_099071_2021-04-24_final
2021-07-05 09:21:59	ga_ls8c_ard_3-2-0_091073_2021-07-04_final
2021-07-05 09:22:23	ga_ls8c_ard_3-2-0_091074_2021-07-04_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-10 11:17:49	ga_ls8c_ard_3-2-0_110069_2021-07-10_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-08-17 09:07:41	ga_ls8c_ard_3-2-0_088083_2021-08-16_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-14 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-14_final
2021-11-02 10:11:09	ga_ls8c_ard_3-2-0_099071_2021-11-02_final
2021-11-24 09:34:23	ga_ls8c_ard_3-2-0_093072_2021-11-24_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-24 09:46:18	ga_ls8c_ard_3-2-1_095071_2021-12-24_final
2022-01-31 09:11:27	ga_ls8c_ard_3-2-1_089077_2022-01-30_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-05-16 09:06:16	ga_ls8c_ard_3-2-1_088080_2022-05-15_final
2022-11-21 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-11-21_final
2023-06-04 09:06:52	ga_ls8c_ard_3-2-1_088083_2023-06-03_final
2023-07-04 10:58:25	ga_ls8c_ard_3-2-1_106083_2023-07-04_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-08-24 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-08-24_final
2023-09-18 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-09-18_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_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