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

First 100 results (query limit)

Time (local)	Label
2013-03-23 10:55:30	ga_ls8c_ard_3-0-0_106069_2013-03-23_final
2013-04-13 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-04-13_final
2014-07-09 11:10:59	ga_ls8c_ard_3-0-0_108083_2014-07-09_final
2014-08-28 10:52:52	ga_ls8c_ard_3-0-0_106068_2014-08-28_final
2014-10-24 10:49:37	ga_ls8c_ard_3-0-0_105075_2014-10-24_final
2015-01-01 11:11:09	ga_ls8c_ard_3-0-0_108083_2015-01-01_final
2015-02-14 11:31:16	ga_ls8c_ard_3-0-0_112072_2015-02-14_final
2015-07-19 11:14:06	ga_ls8c_ard_3-0-0_109076_2015-07-19_final
2015-10-21 11:24:09	ga_ls8c_ard_3-0-0_111069_2015-10-21_final
2015-10-21 11:24:33	ga_ls8c_ard_3-0-0_111070_2015-10-21_final
2016-08-10 10:49:50	ga_ls8c_ard_3-0-0_105076_2016-08-10_final
2016-11-30 10:49:20	ga_ls8c_ard_3-0-0_105074_2016-11-30_final
2017-03-05 11:45:39	ga_ls8c_ard_3-0-0_114077_2017-03-05_final
2017-04-15 11:41:06	ga_ls8c_ard_3-0-0_113082_2017-04-15_final
2017-04-17 11:24:19	ga_ls8c_ard_3-0-0_111071_2017-04-17_final
2017-07-06 11:24:17	ga_ls8c_ard_3-0-0_111070_2017-07-06_final
2017-09-29 11:42:03	ga_ls8c_ard_3-0-0_114067_2017-09-29_final
2017-10-26 11:23:36	ga_ls8c_ard_3-0-0_111067_2017-10-26_final
2017-11-11 11:25:33	ga_ls8c_ard_3-0-0_111072_2017-11-11_final
2018-01-25 11:05:30	ga_ls8c_ard_3-0-0_108069_2018-01-25_final
2018-05-22 11:25:01	ga_ls8c_ard_3-0-0_111074_2018-05-22_final
2018-06-18 11:07:16	ga_ls8c_ard_3-0-0_108076_2018-06-18_final
2018-08-10 11:25:04	ga_ls8c_ard_3-0-0_111073_2018-08-10_final
2018-10-22 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-10-22_final
2018-11-01 11:58:30	ga_ls8c_ard_3-0-0_116078_2018-11-01_final
2018-11-11 10:53:31	ga_ls8c_ard_3-0-0_106070_2018-11-11_final
2019-01-30 10:54:10	ga_ls8c_ard_3-0-0_106072_2019-01-30_final
2019-02-11 11:18:52	ga_ls8c_ard_3-0-0_110072_2019-02-11_final
2019-02-27 11:18:48	ga_ls8c_ard_3-0-0_110072_2019-02-27_final
2019-04-14 11:28:57	ga_ls8c_ard_3-1-0_112067_2019-04-14_final
2019-05-22 10:55:37	ga_ls8c_ard_3-0-0_106076_2019-05-22_final
2019-06-12 11:13:08	ga_ls8c_ard_3-1-0_109073_2019-06-12_final
2019-09-18 11:00:04	ga_ls8c_ard_3-1-0_107070_2019-09-18_final
2019-10-16 11:26:29	ga_ls8c_ard_3-1-0_111074_2019-10-16_final
2019-10-20 11:01:46	ga_ls8c_ard_3-1-0_107074_2019-10-20_final
2019-10-23 11:31:52	ga_ls8c_ard_3-1-0_112072_2019-10-23_final
2019-11-30 10:53:54	ga_ls8c_ard_3-1-0_106070_2019-11-30_final
2020-03-05 10:55:31	ga_ls8c_ard_3-1-0_106075_2020-03-05_final
2020-05-18 11:31:42	ga_ls8c_ard_3-1-0_112074_2020-05-18_final
2020-07-07 11:20:31	ga_ls8c_ard_3-1-0_110076_2020-07-07_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-05 10:50:10	ga_ls8c_ard_3-1-0_105077_2020-08-05_final
2020-08-06 11:29:26	ga_ls8c_ard_3-1-0_112067_2020-08-06_final
2020-08-19 10:59:49	ga_ls8c_ard_3-1-0_107070_2020-08-19_final
2020-10-27 11:18:14	ga_ls8c_ard_3-1-0_110069_2020-10-27_final
2021-01-23 10:28:37	ga_ls8c_ard_3-2-0_102069_2021-01-23_final
2021-01-27 10:05:05	ga_ls8c_ard_3-2-0_098072_2021-01-27_final
2021-02-13 10:49:53	ga_ls8c_ard_3-2-0_105076_2021-02-13_final
2021-03-01 10:46:12	ga_ls8c_ard_3-2-0_105067_2021-03-01_final
2021-04-01 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-04-01_final
2021-05-07 09:45:42	ga_ls8c_ard_3-2-0_094087_2021-05-07_final
2021-07-29 11:52:26	ga_ls8c_ard_3-2-0_115078_2021-07-29_final
2021-08-04 09:32:08	ga_ls8c_ard_3-2-0_093067_2021-08-04_final
2021-10-18 10:52:49	ga_ls8c_ard_3-2-0_106067_2021-10-18_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_final
2021-10-26 10:10:10	ga_ls8c_ard_3-2-0_098084_2021-10-26_final
2021-11-02 10:15:56	ga_ls8c_ard_3-2-0_099083_2021-11-02_final
2021-11-19 10:53:07	ga_ls8c_ard_3-2-0_106068_2021-11-19_final
2021-12-21 09:17:01	ga_ls8c_ard_3-2-1_090075_2021-12-20_final
2021-12-23 10:43:08	ga_ls8c_ard_3-2-1_104074_2021-12-23_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-01-17 10:36:03	ga_ls8c_ard_3-2-1_103072_2022-01-17_final
2022-02-15 10:04:13	ga_ls8c_ard_3-2-1_098070_2022-02-15_final
2022-02-16 10:46:41	ga_ls8c_ard_3-2-1_105068_2022-02-16_final
2022-04-01 09:33:47	ga_ls8c_ard_3-2-1_093072_2022-04-01_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-06-11 11:20:02	ga_ls8c_ard_3-2-1_110074_2022-06-11_final
2022-06-25 09:52:25	ga_ls8c_ard_3-2-1_096071_2022-06-25_final
2022-07-01 10:52:38	ga_ls8c_ard_3-2-1_106067_2022-07-01_final
2022-07-08 11:02:24	ga_ls8c_ard_3-2-1_107076_2022-07-08_final
2022-07-24 09:27:36	ga_ls8c_ard_3-2-1_091086_2022-07-23_final
2022-08-05 09:52:27	ga_ls8c_ard_3-2-1_095086_2022-08-05_final
2022-09-28 10:50:03	ga_ls8c_ard_3-2-1_105075_2022-09-28_final
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-10-19 11:08:06	ga_ls8c_ard_3-2-1_108074_2022-10-19_final
2022-10-20 10:12:06	ga_ls8c_ard_3-2-1_099073_2022-10-20_final
2022-11-10 10:29:05	ga_ls8c_ard_3-2-1_102069_2022-11-10_final
2022-11-14 10:05:06	ga_ls8c_ard_3-2-1_098071_2022-11-14_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-12-18 09:57:49	ga_ls8c_ard_3-2-1_096084_2022-12-18_final
2023-01-09 10:54:23	ga_ls8c_ard_3-2-1_106071_2023-01-09_final
2023-01-21 09:41:21	ga_ls8c_ard_3-2-1_094074_2023-01-21_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-03-29 10:10:08	ga_ls8c_ard_3-2-1_099070_2023-03-29_final
2023-04-06 09:26:33	ga_ls8c_ard_3-2-1_091085_2023-04-05_final
2023-04-14 10:09:05	ga_ls8c_ard_3-2-1_099068_2023-04-14_final
2023-04-27 09:44:31	ga_ls8c_ard_3-2-1_094084_2023-04-27_final
2023-04-27 11:19:49	ga_ls8c_ard_3-2-1_110075_2023-04-27_final
2023-05-10 09:13:27	ga_ls8c_ard_3-2-1_089084_2023-05-09_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-05-28 10:35:09	ga_ls8c_ard_3-2-1_103072_2023-05-28_final
2023-06-11 09:11:33	ga_ls8c_ard_3-2-1_089079_2023-06-10_final
2023-06-15 10:22:33	ga_ls8c_ard_3-2-1_101071_2023-06-15_final
2023-08-01 09:40:04	ga_ls8c_ard_3-2-1_094072_2023-08-01_final
2023-08-10 09:39:05	ga_ls8c_ard_3-2-1_093085_2023-08-10_final
2023-09-23 09:56:50	ga_ls8c_ard_3-2-1_097067_2023-09-23_final
2023-12-13 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-12-13_final
2023-12-17 10:19:54	ga_ls8c_ard_3-2-1_100078_2023-12-17_final
2024-03-09 09:11:35	ga_ls8c_ard_3-2-1_089078_2024-03-08_final
2024-04-02 10:00:46	ga_ls8c_ard_3-2-1_097078_2024-04-02_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