Search ga_ls8c_ard_3 whole collection

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

68 results

Time (local)	Label
2014-02-13 11:17:58	ga_ls8c_ard_3-0-0_110067_2014-02-13_final
2014-09-06 10:49:56	ga_ls8c_ard_3-0-0_105076_2014-09-06_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2015-07-07 09:09:35	ga_ls8c_ard_3-0-0_089074_2015-07-06_final
2015-10-28 11:31:58	ga_ls8c_ard_3-0-0_112073_2015-10-28_final
2016-03-03 09:11:36	ga_ls8c_ard_3-0-0_089078_2016-03-02_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2017-03-31 10:45:36	ga_ls8c_ard_3-0-0_104082_2017-03-31_final
2017-05-30 09:33:50	ga_ls8c_ard_3-0-0_092088_2017-05-30_final
2017-06-04 09:46:02	ga_ls8c_ard_3-0-0_095072_2017-06-04_final
2017-07-02 10:13:42	ga_ls8c_ard_3-0-0_099079_2017-07-02_final
2017-08-31 10:39:32	ga_ls8c_ard_3-0-0_103081_2017-08-31_final
2017-11-23 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-11-23_final
2017-12-05 10:39:59	ga_ls8c_ard_3-0-0_103082_2017-12-05_final
2017-12-14 10:29:02	ga_ls8c_ard_3-0-0_102070_2017-12-14_final
2018-03-12 09:39:25	ga_ls8c_ard_3-0-0_094071_2018-03-12_final
2018-04-16 10:09:14	ga_ls8c_ard_3-0-0_099069_2018-04-16_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-07-25 11:29:18	ga_ls8c_ard_3-0-0_111084_2018-07-25_final
2018-08-06 11:51:45	ga_ls8c_ard_3-0-0_115078_2018-08-06_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2018-10-07 10:27:16	ga_ls8c_ard_3-0-0_101082_2018-10-07_final
2018-11-21 09:50:31	ga_ls8c_ard_3-0-0_096067_2018-11-21_final
2018-12-22 09:13:35	ga_ls8c_ard_3-0-0_089083_2018-12-21_final
2019-04-16 11:17:22	ga_ls8c_ard_3-1-0_110069_2019-04-16_final
2019-05-20 09:28:17	ga_ls8c_ard_3-1-0_092074_2019-05-19_final
2019-05-21 10:09:57	ga_ls8c_ard_3-0-0_099070_2019-05-21_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-07-12 09:44:21	ga_ls8c_ard_3-1-0_095067_2019-07-12_final
2019-08-22 11:18:28	ga_ls8c_ard_3-1-0_110070_2019-08-22_final
2019-08-31 11:14:43	ga_ls8c_ard_3-1-0_109076_2019-08-31_final
2019-09-07 11:20:07	ga_ls8c_ard_3-1-0_110074_2019-09-07_final
2019-09-10 10:10:34	ga_ls8c_ard_3-1-0_099070_2019-09-10_final
2019-11-26 09:40:33	ga_ls8c_ard_3-1-0_094072_2019-11-26_final
2020-01-20 11:26:14	ga_ls8c_ard_3-1-0_111074_2020-01-20_final
2020-02-11 10:47:27	ga_ls8c_ard_3-1-0_105070_2020-02-11_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-04-30 10:02:49	ga_ls8c_ard_3-1-0_098068_2020-04-30_final
2020-05-11 11:25:05	ga_ls8c_ard_3-1-0_111073_2020-05-11_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-07-26 10:13:03	ga_ls8c_ard_3-1-0_099077_2020-07-26_final
2020-10-02 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-10-02_final
2020-12-11 10:46:58	ga_ls8c_ard_3-1-0_105068_2020-12-11_final
2021-01-09 11:58:01	ga_ls8c_ard_3-2-0_116076_2021-01-09_final
2021-04-10 10:03:41	ga_ls8c_ard_3-2-0_097085_2021-04-10_final
2021-04-19 11:31:08	ga_ls8c_ard_3-2-0_112072_2021-04-19_final
2021-07-12 11:07:51	ga_ls8c_ard_3-2-0_108075_2021-07-12_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-09-15_final
2021-10-27 09:11:45	ga_ls8c_ard_3-2-0_089077_2021-10-26_final
2021-11-15 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-11-15_final
2022-01-11 11:15:09	ga_ls8c_ard_3-2-1_109077_2022-01-11_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-05-13 11:52:19	ga_ls8c_ard_3-2-1_115078_2022-05-13_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-05-23 10:52:08	ga_ls8c_ard_3-2-1_105082_2022-05-23_final
2022-07-30 10:23:29	ga_ls8c_ard_3-2-1_101071_2022-07-30_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2023-02-25 10:11:34	ga_ls8c_ard_3-2-1_099073_2023-02-25_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-04-13 11:05:07	ga_ls8c_ard_3-2-1_108069_2023-04-13_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2024-01-01 11:17:27	ga_ls8c_ard_3-2-1_109083_2024-01-01_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-03-16 09:16:55	ga_ls8c_ard_3-2-1_090076_2024-03-15_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years