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

89 results

Time (local)	Label
2013-04-06 10:07:30	ga_ls8c_ard_3-0-0_098077_2013-04-06_final
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2014-02-01 10:56:39	ga_ls8c_ard_3-0-0_106075_2014-02-01_final
2014-02-02 11:40:42	ga_ls8c_ard_3-0-0_113077_2014-02-02_final
2014-05-07 10:09:33	ga_ls8c_ard_3-0-0_099069_2014-05-07_final
2015-03-06 11:06:52	ga_ls8c_ard_3-0-0_108073_2015-03-06_final
2015-04-12 09:45:47	ga_ls8c_ard_3-0-0_095072_2015-04-12_final
2015-06-14 10:44:30	ga_ls8c_ard_3-0-0_104080_2015-06-14_final
2015-07-12 09:32:34	ga_ls8c_ard_3-0-0_092085_2015-07-12_final
2015-09-09 09:10:24	ga_ls8c_ard_3-0-0_089075_2015-09-08_final
2015-09-13 10:27:47	ga_ls8c_ard_3-0-0_101083_2015-09-13_final
2015-09-25 09:13:18	ga_ls8c_ard_3-0-0_089082_2015-09-24_final
2015-10-29 10:37:33	ga_ls8c_ard_3-0-0_103076_2015-10-29_final
2015-12-25 10:29:00	ga_ls8c_ard_3-0-0_102070_2015-12-25_final
2016-02-02 10:37:05	ga_ls8c_ard_3-0-0_103075_2016-02-02_final
2016-03-17 09:23:54	ga_ls8c_ard_3-0-0_091078_2016-03-16_final
2016-03-31 11:17:22	ga_ls8c_ard_3-0-0_109084_2016-03-31_final
2016-05-14 09:56:42	ga_ls8c_ard_3-0-0_097068_2016-05-14_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2016-11-03 09:28:12	ga_ls8c_ard_3-0-0_092072_2016-11-02_final
2016-11-12 09:26:48	ga_ls8c_ard_3-0-0_091084_2016-11-11_final
2016-12-17 11:32:31	ga_ls8c_ard_3-0-0_112074_2016-12-17_final
2017-01-25 09:58:28	ga_ls8c_ard_3-0-0_097071_2017-01-25_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-03-24 10:33:52	ga_ls8c_ard_3-0-0_103068_2017-03-24_final
2017-04-10 09:39:44	ga_ls8c_ard_3-0-0_094072_2017-04-10_final
2017-05-14 09:33:16	ga_ls8c_ard_3-0-0_092087_2017-05-14_final
2017-06-01 10:52:24	ga_ls8c_ard_3-0-0_106068_2017-06-01_final
2017-07-02 11:52:35	ga_ls8c_ard_3-0-0_115079_2017-07-02_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-12-02 10:03:54	ga_ls8c_ard_3-0-0_098069_2017-12-02_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-07-22 10:52:00	ga_ls8c_ard_3-0-0_106068_2018-07-22_final
2018-08-10 11:23:29	ga_ls8c_ard_3-0-0_111069_2018-08-10_final
2018-09-09 09:56:46	ga_ls8c_ard_3-0-0_097068_2018-09-09_final
2018-10-03 09:11:04	ga_ls8c_ard_3-0-0_089077_2018-10-02_final
2018-10-29 11:26:47	ga_ls8c_ard_3-0-0_111076_2018-10-29_final
2018-12-01 10:33:10	ga_ls8c_ard_3-0-0_102081_2018-12-01_final
2018-12-08 10:39:20	ga_ls8c_ard_3-0-0_103081_2018-12-08_final
2019-01-17 09:45:50	ga_ls8c_ard_3-0-0_095071_2019-01-17_final
2019-01-29 10:12:06	ga_ls8c_ard_3-0-0_099075_2019-01-29_final
2019-02-07 10:04:18	ga_ls8c_ard_3-0-0_098071_2019-02-07_final
2019-04-20 09:17:43	ga_ls8c_ard_3-0-0_090079_2019-04-19_final
2019-04-26 10:21:05	ga_ls8c_ard_3-0-0_100083_2019-04-26_final
2019-06-19 11:17:45	ga_ls8c_ard_3-1-0_110069_2019-06-19_final
2019-09-22 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-09-22_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2020-01-15 11:07:19	ga_ls8c_ard_3-1-0_108073_2020-01-15_final
2020-01-30 10:27:34	ga_ls8c_ard_3-1-0_101082_2020-01-30_final
2020-02-09 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-02-08_final
2020-03-01 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-03-01_final
2020-03-08 11:24:24	ga_ls8c_ard_3-1-0_111070_2020-03-08_final
2020-03-20 10:10:09	ga_ls8c_ard_3-1-0_099070_2020-03-20_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-24 11:20:48	ga_ls8c_ard_3-1-0_110076_2020-08-24_final
2020-08-26 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-08-25_final
2020-12-01 10:16:40	ga_ls8c_ard_3-1-0_099085_2020-12-01_final
2021-01-06 11:29:08	ga_ls8c_ard_3-2-0_111081_2021-01-06_final
2021-02-11 09:22:11	ga_ls8c_ard_3-2-0_091073_2021-02-10_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-03-23 10:08:32	ga_ls8c_ard_3-2-1_099066_2021-03-23_final
2021-03-30 10:20:41	ga_ls8c_ard_3-2-0_100081_2021-03-30_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-07-25 10:34:15	ga_ls8c_ard_3-2-0_103068_2021-07-25_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-10-05 09:44:47	ga_ls8c_ard_3-2-0_095067_2021-10-05_final
2021-10-25 11:04:35	ga_ls8c_ard_3-2-0_107081_2021-10-25_final
2021-11-07 10:34:03	ga_ls8c_ard_3-2-0_102082_2021-11-07_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-05-16 10:45:57	ga_ls8c_ard_3-2-1_104082_2022-05-16_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-29 09:46:36	ga_ls8c_ard_3-2-1_094087_2022-07-29_final
2022-08-26 10:05:05	ga_ls8c_ard_3-2-1_098071_2022-08-26_final
2022-10-15 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-10-15_final
2022-11-15 09:11:04	ga_ls8c_ard_3-2-1_089075_2022-11-14_final
2023-02-03 10:47:23	ga_ls8c_ard_3-2-1_105069_2023-02-03_final
2023-03-21 09:22:22	ga_ls8c_ard_3-2-1_091074_2023-03-20_final
2023-05-07 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-05-07_final
2023-06-14 11:18:58	ga_ls8c_ard_3-2-1_110073_2023-06-14_final
2023-07-16 09:39:56	ga_ls8c_ard_3-2-1_094072_2023-07-16_final
2023-08-17 09:44:09	ga_ls8c_ard_3-2-1_094082_2023-08-17_final
2023-09-05 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-09-05_final
2023-12-03 10:05:07	ga_ls8c_ard_3-2-1_098072_2023-12-03_final
2024-02-09 11:23:12	ga_ls8c_ard_3-2-1_110082_2024-02-09_final
2024-03-11 10:34:06	ga_ls8c_ard_3-2-1_103068_2024-03-11_final
2024-04-01 09:21:06	ga_ls8c_ard_3-2-1_090087_2024-03-31_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