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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
2013-05-19 11:13:09	ga_ls8c_ard_3-0-0_108083_2013-05-19_final
2013-07-07 11:53:12	ga_ls8c_ard_3-0-0_115075_2013-07-07_final
2014-01-20 10:29:37	ga_ls8c_ard_3-0-0_102069_2014-01-20_final
2014-03-24 11:23:38	ga_ls8c_ard_3-0-0_111067_2014-03-24_final
2014-06-04 10:39:04	ga_ls8c_ard_3-0-0_103081_2014-06-04_final
2014-07-31 10:31:13	ga_ls8c_ard_3-0-0_102076_2014-07-31_final
2015-05-06 10:36:35	ga_ls8c_ard_3-0-0_103076_2015-05-06_final
2015-06-11 10:12:46	ga_ls8c_ard_3-0-0_099078_2015-06-11_final
2015-09-08 11:46:29	ga_ls8c_ard_3-0-0_114079_2015-09-08_final
2015-10-07 09:34:04	ga_ls8c_ard_3-0-0_093072_2015-10-07_final
2016-01-30 10:04:12	ga_ls8c_ard_3-0-0_098070_2016-01-30_final
2016-02-02 10:36:41	ga_ls8c_ard_3-0-0_103074_2016-02-02_final
2016-04-14 11:22:53	ga_ls8c_ard_3-0-0_111067_2016-04-14_final
2016-06-19 09:33:46	ga_ls8c_ard_3-0-0_093072_2016-06-19_final
2016-06-23 10:48:46	ga_ls8c_ard_3-0-0_105074_2016-06-23_final
2016-07-03 11:23:57	ga_ls8c_ard_3-0-0_111069_2016-07-03_final
2016-10-18 11:11:28	ga_ls8c_ard_3-0-0_108083_2016-10-18_final
2017-01-16 10:05:54	ga_ls8c_ard_3-0-0_098074_2017-01-16_final
2017-05-02 10:43:42	ga_ls8c_ard_3-0-0_104078_2017-05-02_final
2017-12-26 09:21:16	ga_ls8c_ard_3-0-0_090086_2017-12-25_final
2018-01-31 10:28:46	ga_ls8c_ard_3-0-0_102070_2018-01-31_final
2018-08-21 11:06:13	ga_ls8c_ard_3-0-0_108072_2018-08-21_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2018-12-12 10:13:23	ga_ls8c_ard_3-0-0_099078_2018-12-12_final
2019-01-08 09:57:14	ga_ls8c_ard_3-0-0_096084_2019-01-08_final
2019-01-10 11:19:45	ga_ls8c_ard_3-0-0_110074_2019-01-10_final
2019-03-05 10:45:41	ga_ls8c_ard_3-0-0_104082_2019-03-05_final
2019-04-10 10:16:24	ga_ls8c_ard_3-1-0_100071_2019-04-10_final
2019-10-07 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-10-07_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2020-01-16 10:08:54	ga_ls8c_ard_3-2-1_099066_2020-01-16_final
2020-04-01 10:39:32	ga_ls8c_ard_3-1-0_103082_2020-04-01_final
2020-04-16 09:50:59	ga_ls8c_ard_3-1-0_096069_2020-04-16_final
2020-04-22 10:52:20	ga_ls8c_ard_3-1-0_106068_2020-04-22_final
2020-06-07 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-06-06_final
2020-07-21 11:32:10	ga_ls8c_ard_3-1-0_112074_2020-07-21_final
2020-08-03 09:22:26	ga_ls8c_ard_3-1-0_091074_2020-08-02_final
2020-09-11 09:29:41	ga_ls8c_ard_3-1-0_092076_2020-09-10_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2021-01-29 09:53:07	ga_ls8c_ard_3-2-0_096073_2021-01-29_final
2021-01-31 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-01-31_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-05-07 11:19:47	ga_ls8c_ard_3-2-0_110075_2021-05-07_final
2021-05-26 10:08:25	ga_ls8c_ard_3-2-1_099066_2021-05-26_final
2021-05-31 10:31:48	ga_ls8c_ard_3-2-0_102078_2021-05-31_final
2021-06-22 09:57:38	ga_ls8c_ard_3-2-0_096085_2021-06-22_final
2021-07-03 09:39:32	ga_ls8c_ard_3-2-0_093086_2021-07-03_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-11-02 10:15:32	ga_ls8c_ard_3-2-0_099082_2021-11-02_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-29 10:09:52	ga_ls8c_ard_3-2-1_099069_2022-05-29_final
2022-06-24 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-06-24_final
2022-08-17 10:09:16	ga_ls8c_ard_3-2-1_099066_2022-08-17_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-12-01 09:11:05	ga_ls8c_ard_3-2-1_089075_2022-11-30_final
2023-01-23 09:33:48	ga_ls8c_ard_3-2-1_092086_2023-01-23_final
2023-01-23 11:11:53	ga_ls8c_ard_3-2-1_108084_2023-01-23_final
2023-04-13 11:08:18	ga_ls8c_ard_3-2-1_108077_2023-04-13_final
2023-05-25 10:06:15	ga_ls8c_ard_3-2-1_098077_2023-05-25_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-06-20 10:45:29	ga_ls8c_ard_3-2-1_104082_2023-06-20_final
2023-08-24 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-08-24_final
2023-10-17 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-10-17_final
2024-03-08 10:09:36	ga_ls8c_ard_3-2-1_098084_2024-03-08_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