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

82 results

Time (local)	Label
2013-08-22 10:27:31	ga_ls8c_ard_3-0-0_101077_2013-08-22_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2013-09-18 10:09:18	ga_ls8c_ard_3-0-0_098078_2013-09-18_final
2014-02-26 10:49:42	ga_ls8c_ard_3-0-0_105074_2014-02-26_final
2014-06-27 10:45:44	ga_ls8c_ard_3-0-0_104082_2014-06-27_final
2014-07-23 11:16:59	ga_ls8c_ard_3-0-0_110067_2014-07-23_final
2014-08-16 10:33:19	ga_ls8c_ard_3-0-0_102081_2014-08-16_final
2014-11-25 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-11-25_final
2014-12-11 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-10_final
2015-01-12 09:13:45	ga_ls8c_ard_3-0-0_089083_2015-01-11_final
2015-01-27 10:04:30	ga_ls8c_ard_3-0-0_098071_2015-01-27_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-04-09 09:20:28	ga_ls8c_ard_3-0-0_090086_2015-04-08_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2015-12-31 09:51:30	ga_ls8c_ard_3-0-0_096069_2015-12-31_final
2016-01-30 10:07:24	ga_ls8c_ard_3-0-0_098078_2016-01-30_final
2016-02-22 10:10:13	ga_ls8c_ard_3-0-0_099070_2016-02-22_final
2016-03-22 11:17:41	ga_ls8c_ard_3-0-0_110069_2016-03-22_final
2016-04-30 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-30_final
2016-07-11 10:39:22	ga_ls8c_ard_3-0-0_103081_2016-07-11_final
2016-07-31 10:13:08	ga_ls8c_ard_3-0-0_099077_2016-07-31_final
2016-08-06 09:32:04	ga_ls8c_ard_3-0-0_093067_2016-08-06_final
2016-08-26 10:46:45	ga_ls8c_ard_3-0-0_105068_2016-08-26_final
2016-09-24 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-09-24_final
2016-09-27 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-09-26_final
2016-10-03 10:09:47	ga_ls8c_ard_3-0-0_099068_2016-10-03_final
2016-12-29 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-12-29_final
2017-04-19 09:31:28	ga_ls8c_ard_3-0-0_093067_2017-04-19_final
2017-07-12 09:10:19	ga_ls8c_ard_3-0-0_089075_2017-07-11_final
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2017-12-18 10:09:55	ga_ls8c_ard_3-0-0_098084_2017-12-18_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-01-26 10:09:52	ga_ls8c_ard_3-0-0_099069_2018-01-26_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-07-18 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-07-18_final
2018-10-09 10:09:44	ga_ls8c_ard_3-0-0_099069_2018-10-09_final
2018-12-22 09:13:11	ga_ls8c_ard_3-0-0_089082_2018-12-21_final
2019-01-18 10:27:54	ga_ls8c_ard_3-0-0_102068_2019-01-18_final
2019-02-14 10:09:40	ga_ls8c_ard_3-0-0_099069_2019-02-14_final
2019-03-29 09:52:08	ga_ls8c_ard_3-1-0_096072_2019-03-29_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-04-08 10:28:46	ga_ls8c_ard_3-1-0_102071_2019-04-08_final
2019-06-24 11:42:19	ga_ls8c_ard_3-1-0_113084_2019-06-24_final
2019-07-24 11:51:12	ga_ls8c_ard_3-1-0_115075_2019-07-24_final
2019-08-06 11:19:59	ga_ls8c_ard_3-1-0_110074_2019-08-06_final
2019-08-23 10:25:39	ga_ls8c_ard_3-1-0_101077_2019-08-23_final
2020-01-01 09:17:43	ga_ls8c_ard_3-1-0_090077_2019-12-31_final
2020-02-01 10:10:49	ga_ls8c_ard_3-1-0_099071_2020-02-01_final
2020-02-02 09:17:35	ga_ls8c_ard_3-1-0_090077_2020-02-01_final
2020-02-11 10:47:27	ga_ls8c_ard_3-1-0_105070_2020-02-11_final
2020-04-06 10:52:27	ga_ls8c_ard_3-1-0_106068_2020-04-06_final
2020-04-23 09:57:06	ga_ls8c_ard_3-1-0_097069_2020-04-23_final
2020-04-27 09:33:09	ga_ls8c_ard_3-1-0_093071_2020-04-27_final
2020-06-07 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-06-06_final
2020-06-28 11:23:51	ga_ls8c_ard_3-1-0_111069_2020-06-28_final
2020-10-03 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-10-03_final
2020-10-18 09:44:45	ga_ls8c_ard_3-1-0_095067_2020-10-18_final
2021-01-04 09:57:26	ga_ls8c_ard_3-2-0_097068_2021-01-04_final
2021-02-19 11:51:16	ga_ls8c_ard_3-2-0_115075_2021-02-19_final
2021-02-20 09:21:56	ga_ls8c_ard_3-2-0_090088_2021-02-19_final
2021-02-27 09:21:41	ga_ls8c_ard_3-2-0_091072_2021-02-26_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-05-16 11:13:19	ga_ls8c_ard_3-2-0_109074_2021-05-16_final
2021-08-29 09:34:27	ga_ls8c_ard_3-2-0_092088_2021-08-29_final
2021-11-18 10:14:15	ga_ls8c_ard_3-2-0_099079_2021-11-18_final
2022-01-09 11:24:44	ga_ls8c_ard_3-2-1_111070_2022-01-09_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-01-31 10:49:56	ga_ls8c_ard_3-2-1_105076_2022-01-31_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-03-29 10:45:46	ga_ls8c_ard_3-2-1_104082_2022-03-29_final
2022-07-21 10:33:33	ga_ls8c_ard_3-2-1_102081_2022-07-21_final
2022-09-27 10:03:36	ga_ls8c_ard_3-2-1_098067_2022-09-27_final
2023-07-25 09:34:36	ga_ls8c_ard_3-2-1_093074_2023-07-25_final
2023-10-30 10:19:55	ga_ls8c_ard_3-2-1_100078_2023-10-30_final
2024-01-20 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-01-20_final
2024-03-11 10:34:30	ga_ls8c_ard_3-2-1_103069_2024-03-11_final
2024-03-25 09:09:47	ga_ls8c_ard_3-2-1_089074_2024-03-24_final
2024-04-04 11:25:18	ga_ls8c_ard_3-2-1_111073_2024-04-04_final
2024-04-25 11:46:04	ga_ls8c_ard_3-2-1_114079_2024-04-25_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