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
2013-04-29 11:32:26	ga_ls8c_ard_3-0-0_112070_2013-04-29_final
2013-06-09 11:28:06	ga_ls8c_ard_3-0-0_111074_2013-06-09_final
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2014-07-12 11:35:31	ga_ls8c_ard_3-0-0_113067_2014-07-12_final
2014-07-23 11:18:59	ga_ls8c_ard_3-0-0_110072_2014-07-23_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2014-11-07 11:00:00	ga_ls8c_ard_3-0-0_107070_2014-11-07_final
2014-12-09 11:00:17	ga_ls8c_ard_3-0-0_107071_2014-12-09_final
2015-04-28 11:29:21	ga_ls8c_ard_3-0-0_111084_2015-04-28_final
2015-05-09 11:10:37	ga_ls8c_ard_3-0-0_108084_2015-05-09_final
2015-11-20 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-11-20_final
2015-11-26 11:03:07	ga_ls8c_ard_3-0-0_107078_2015-11-26_final
2015-12-19 11:11:40	ga_ls8c_ard_3-0-0_108084_2015-12-19_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-03-13 09:44:15	ga_ls8c_ard_3-0-0_095067_2016-03-13_final
2016-09-10 11:42:03	ga_ls8c_ard_3-0-0_114067_2016-09-10_final
2017-03-09 11:18:30	ga_ls8c_ard_3-0-0_110071_2017-03-09_final
2017-06-29 11:19:17	ga_ls8c_ard_3-0-0_110073_2017-06-29_final
2017-08-18 11:06:01	ga_ls8c_ard_3-0-0_108070_2017-08-18_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2017-11-20 09:41:14	ga_ls8c_ard_3-0-0_094074_2017-11-20_final
2018-02-03 10:59:38	ga_ls8c_ard_3-0-0_107070_2018-02-03_final
2018-04-29 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-04-29_final
2018-05-08 11:10:50	ga_ls8c_ard_3-0-0_109069_2018-05-08_final
2018-10-22 11:19:47	ga_ls8c_ard_3-0-0_110074_2018-10-22_final
2018-12-12 11:52:40	ga_ls8c_ard_3-0-0_115079_2018-12-12_final
2019-02-16 11:37:23	ga_ls8c_ard_3-0-0_113072_2019-02-16_final
2019-03-06 11:24:33	ga_ls8c_ard_3-0-0_111071_2019-03-06_final
2019-03-24 11:12:06	ga_ls8c_ard_3-1-0_109071_2019-03-24_final
2019-04-16 11:18:34	ga_ls8c_ard_3-1-0_110072_2019-04-16_final
2019-04-21 11:35:04	ga_ls8c_ard_3-0-0_113067_2019-04-21_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-07-16 11:04:54	ga_ls8c_ard_3-1-0_107083_2019-07-16_final
2019-09-07 09:45:14	ga_ls8c_ard_3-1-0_094084_2019-09-07_final
2019-09-07 11:17:20	ga_ls8c_ard_3-1-0_110067_2019-09-07_final
2019-09-19 11:42:08	ga_ls8c_ard_3-1-0_114067_2019-09-19_final
2019-10-23 11:32:40	ga_ls8c_ard_3-1-0_112074_2019-10-23_final
2019-12-12 11:18:13	ga_ls8c_ard_3-1-0_110069_2019-12-12_final
2020-01-27 11:32:23	ga_ls8c_ard_3-1-0_112074_2020-01-27_final
2020-05-27 09:50:15	ga_ls8c_ard_3-1-0_095083_2020-05-27_final
2020-08-04 11:44:35	ga_ls8c_ard_3-1-0_114074_2020-08-04_final
2020-09-16 09:46:15	ga_ls8c_ard_3-1-0_095071_2020-09-16_final
2020-09-18 11:17:59	ga_ls8c_ard_3-1-0_109084_2020-09-18_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-04-04 10:39:12	ga_ls8c_ard_3-2-0_103081_2021-04-04_final
2021-05-05 09:57:40	ga_ls8c_ard_3-2-0_096086_2021-05-05_final
2021-05-09 11:08:15	ga_ls8c_ard_3-2-0_108077_2021-05-09_final
2021-06-03 09:23:26	ga_ls8c_ard_3-2-0_091077_2021-06-02_final
2021-06-10 11:10:09	ga_ls8c_ard_3-2-0_108081_2021-06-10_final
2021-06-27 10:09:25	ga_ls8c_ard_3-2-0_099068_2021-06-27_final
2021-07-01 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-07-01_final
2021-07-14 10:54:18	ga_ls8c_ard_3-2-0_106072_2021-07-14_final
2021-08-18 09:50:57	ga_ls8c_ard_3-2-0_095083_2021-08-18_final
2021-08-30 10:10:09	ga_ls8c_ard_3-2-0_099069_2021-08-30_final
2021-09-07 09:23:08	ga_ls8c_ard_3-2-0_091075_2021-09-06_final
2021-09-11 10:38:07	ga_ls8c_ard_3-2-0_103077_2021-09-11_final
2021-10-07 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-10-07_final
2021-10-11 09:11:44	ga_ls8c_ard_3-2-0_089077_2021-10-10_final
2021-10-28 09:52:13	ga_ls8c_ard_3-2-0_096070_2021-10-28_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-12-09 10:29:37	ga_ls8c_ard_3-2-1_102071_2021-12-09_final
2021-12-20 10:14:38	ga_ls8c_ard_3-2-1_099080_2021-12-20_final
2022-01-09 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-01-09_final
2022-02-07 09:20:01	ga_ls8c_ard_3-2-1_090083_2022-02-06_final
2022-02-20 10:24:43	ga_ls8c_ard_3-2-1_101075_2022-02-20_final
2022-03-18 11:00:04	ga_ls8c_ard_3-2-1_107071_2022-03-18_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-03-24 10:26:54	ga_ls8c_ard_3-2-1_101081_2022-03-24_final
2022-04-29 10:03:18	ga_ls8c_ard_3-2-1_097084_2022-04-29_final
2022-08-19 09:57:42	ga_ls8c_ard_3-2-1_097068_2022-08-19_final
2022-10-11 10:22:38	ga_ls8c_ard_3-2-1_100084_2022-10-11_final
2022-11-06 10:53:49	ga_ls8c_ard_3-2-1_106069_2022-11-06_final
2022-11-08 10:46:38	ga_ls8c_ard_3-2-1_104082_2022-11-08_final
2022-11-13 09:27:51	ga_ls8c_ard_3-2-1_091086_2022-11-12_final
2022-11-15 10:52:45	ga_ls8c_ard_3-2-1_105082_2022-11-15_final
2022-12-08 10:56:08	ga_ls8c_ard_3-2-1_106075_2022-12-08_final
2023-01-25 10:55:57	ga_ls8c_ard_3-2-1_106075_2023-01-25_final
2023-02-03 09:14:06	ga_ls8c_ard_3-2-1_089083_2023-02-02_final
2023-02-26 09:17:57	ga_ls8c_ard_3-2-1_090078_2023-02-25_final
2023-02-26 10:55:14	ga_ls8c_ard_3-2-1_106074_2023-02-26_final
2023-03-28 09:32:04	ga_ls8c_ard_3-2-1_092083_2023-03-28_final
2023-05-04 09:50:38	ga_ls8c_ard_3-2-1_095084_2023-05-04_final
2023-05-22 09:39:19	ga_ls8c_ard_3-2-1_093087_2023-05-22_final
2023-05-31 11:10:27	ga_ls8c_ard_3-2-1_108083_2023-05-31_final
2023-06-02 10:52:54	ga_ls8c_ard_3-2-1_106070_2023-06-02_final
2023-08-03 11:07:24	ga_ls8c_ard_3-2-1_108074_2023-08-03_final
2023-09-02 11:23:53	ga_ls8c_ard_3-2-1_110084_2023-09-02_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-05 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-10-05_final
2023-10-23 10:08:54	ga_ls8c_ard_3-2-1_099066_2023-10-23_final
2023-11-08 10:13:16	ga_ls8c_ard_3-2-1_099077_2023-11-08_final
2023-11-09 10:52:31	ga_ls8c_ard_3-2-1_106067_2023-11-09_final
2023-12-02 11:05:32	ga_ls8c_ard_3-2-1_107084_2023-12-02_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-03-12 09:40:28	ga_ls8c_ard_3-2-1_094073_2024-03-12_final
2024-03-19 11:25:28	ga_ls8c_ard_3-2-1_111073_2024-03-19_final
2024-03-29 10:22:41	ga_ls8c_ard_3-2-1_101071_2024-03-29_final
2024-04-06 11:14:08	ga_ls8c_ard_3-2-1_109076_2024-04-06_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