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
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-06-14 11:43:49	ga_ls8c_ard_3-0-0_114067_2013-06-14_final
2014-01-03 09:53:22	ga_ls8c_ard_3-0-0_095086_2014-01-03_final
2014-03-24 09:52:20	ga_ls8c_ard_3-0-0_095086_2014-03-24_final
2014-03-29 11:42:04	ga_ls8c_ard_3-0-0_114067_2014-03-29_final
2014-05-02 11:29:11	ga_ls8c_ard_3-0-0_112067_2014-05-02_final
2014-06-12 09:44:06	ga_ls8c_ard_3-0-0_095067_2014-06-12_final
2014-06-26 11:35:22	ga_ls8c_ard_3-0-0_113067_2014-06-26_final
2014-07-19 11:41:43	ga_ls8c_ard_3-0-0_114067_2014-07-19_final
2014-09-21 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-09-21_final
2015-02-26 11:57:11	ga_ls8c_ard_3-0-0_116075_2015-02-26_final
2015-04-12 09:51:46	ga_ls8c_ard_3-0-0_095087_2015-04-12_final
2015-07-17 09:45:34	ga_ls8c_ard_3-0-0_095071_2015-07-17_final
2015-08-27 09:40:49	ga_ls8c_ard_3-0-0_094074_2015-08-27_final
2015-08-27 09:41:37	ga_ls8c_ard_3-0-0_094076_2015-08-27_final
2015-09-19 11:24:51	ga_ls8c_ard_3-0-0_111071_2015-09-19_final
2015-10-10 11:41:51	ga_ls8c_ard_3-0-0_114067_2015-10-10_final
2015-12-24 11:24:14	ga_ls8c_ard_3-0-0_111069_2015-12-24_final
2016-01-07 11:42:30	ga_ls8c_ard_3-0-0_113084_2016-01-07_final
2016-01-16 11:29:33	ga_ls8c_ard_3-0-0_112067_2016-01-16_final
2016-05-16 09:51:33	ga_ls8c_ard_3-0-0_095086_2016-05-16_final
2016-06-01 11:22:57	ga_ls8c_ard_3-0-0_111067_2016-06-01_final
2016-08-25 11:47:34	ga_ls8c_ard_3-0-0_114081_2016-08-25_final
2016-12-10 11:23:35	ga_ls8c_ard_3-0-0_111067_2016-12-10_final
2017-03-19 11:57:28	ga_ls8c_ard_3-0-0_116076_2017-03-19_final
2017-04-16 09:06:59	ga_ls8c_ard_3-0-0_088083_2017-04-15_final
2017-05-06 11:56:42	ga_ls8c_ard_3-0-0_116075_2017-05-06_final
2017-06-23 11:57:32	ga_ls8c_ard_3-0-0_116076_2017-06-23_final
2017-07-13 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-07-13_final
2017-09-15 11:29:35	ga_ls8c_ard_3-0-0_112067_2017-09-15_final
2017-11-14 11:58:02	ga_ls8c_ard_3-0-0_116076_2017-11-14_final
2017-11-27 11:23:27	ga_ls8c_ard_3-0-0_111067_2017-11-27_final
2017-11-30 11:57:32	ga_ls8c_ard_3-0-0_116075_2017-11-30_final
2017-12-29 11:23:52	ga_ls8c_ard_3-0-0_111068_2017-12-29_final
2018-01-05 11:31:36	ga_ls8c_ard_3-0-0_112072_2018-01-05_final
2018-03-03 11:22:59	ga_ls8c_ard_3-0-0_111067_2018-03-03_final
2018-03-19 11:22:50	ga_ls8c_ard_3-0-0_111067_2018-03-19_final
2018-05-11 11:46:29	ga_ls8c_ard_3-0-0_114081_2018-05-11_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-06-23 11:22:16	ga_ls8c_ard_3-0-0_111067_2018-06-23_final
2018-06-26 11:57:35	ga_ls8c_ard_3-0-0_116078_2018-06-26_final
2018-08-03 09:45:08	ga_ls8c_ard_3-0-0_094086_2018-08-03_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2019-04-22 09:05:45	ga_ls8c_ard_3-0-0_088080_2019-04-21_final
2019-05-28 11:57:53	ga_ls8c_ard_3-0-0_116077_2019-05-28_final
2019-07-10 11:41:34	ga_ls8c_ard_3-1-0_113082_2019-07-10_final
2020-10-07 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-07_final
2020-10-25 11:29:48	ga_ls8c_ard_3-1-0_112067_2020-10-25_final
2020-12-05 08:11:04	ga_ls8c_ard_3-2-1_079080_2020-12-04_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2021-03-10 09:07:26	ga_ls8c_ard_3-2-0_088083_2021-03-09_final
2021-03-27 11:23:05	ga_ls8c_ard_3-2-0_111067_2021-03-27_final
2021-04-08 10:08:52	ga_ls8c_ard_3-2-0_099067_2021-04-08_final
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2021-05-16 09:32:02	ga_ls8c_ard_3-2-0_093068_2021-05-16_final
2021-06-24 09:42:53	ga_ls8c_ard_3-2-0_094079_2021-06-24_final
2021-06-28 10:57:52	ga_ls8c_ard_3-2-0_106081_2021-06-28_final
2021-07-12 09:25:47	ga_ls8c_ard_3-2-0_092067_2021-07-11_final
2021-07-13 10:09:02	ga_ls8c_ard_3-2-0_099067_2021-07-13_final
2021-07-30 09:16:44	ga_ls8c_ard_3-2-0_090075_2021-07-29_final
2021-08-24 10:46:24	ga_ls8c_ard_3-2-0_105067_2021-08-24_final
2021-09-30 09:26:13	ga_ls8c_ard_3-2-0_092067_2021-09-29_final
2021-10-16 11:08:22	ga_ls8c_ard_3-2-0_108075_2021-10-16_final
2021-10-23 09:34:29	ga_ls8c_ard_3-2-0_093072_2021-10-23_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_final
2021-10-30 11:19:56	ga_ls8c_ard_3-2-0_110073_2021-10-30_final
2021-11-03 09:17:31	ga_ls8c_ard_3-2-0_090076_2021-11-02_final
2021-11-09 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-11-09_final
2021-12-17 09:40:10	ga_ls8c_ard_3-2-1_094071_2021-12-17_final
2022-01-08 10:45:27	ga_ls8c_ard_3-2-1_104080_2022-01-08_final
2022-02-23 10:58:48	ga_ls8c_ard_3-2-1_106083_2022-02-23_final
2022-03-15 10:28:00	ga_ls8c_ard_3-2-1_102068_2022-03-15_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-05-04 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-05-04_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-09-05 10:45:46	ga_ls8c_ard_3-2-1_104080_2022-09-05_final
2022-09-25 11:58:02	ga_ls8c_ard_3-2-1_116075_2022-09-25_final
2022-09-25 11:58:26	ga_ls8c_ard_3-2-1_116076_2022-09-25_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-10-18 10:24:02	ga_ls8c_ard_3-2-1_101072_2022-10-18_final
2022-10-30 10:52:50	ga_ls8c_ard_3-2-1_105082_2022-10-30_final
2023-01-25 12:31:38	ga_ls8c_ard_3-2-1_122067_2023-01-25_final
2023-02-12 10:42:20	ga_ls8c_ard_3-2-1_104072_2023-02-12_final
2023-04-14 10:15:52	ga_ls8c_ard_3-2-1_099085_2023-04-14_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-06-18 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-06-18_final
2023-06-30 11:23:29	ga_ls8c_ard_3-2-1_110084_2023-06-30_final
2023-07-23 11:23:50	ga_ls8c_ard_3-2-1_111069_2023-07-23_final
2023-08-14 09:10:01	ga_ls8c_ard_3-2-1_089074_2023-08-13_final
2023-09-29 11:04:41	ga_ls8c_ard_3-2-1_107082_2023-09-29_final
2023-10-23 10:16:29	ga_ls8c_ard_3-2-1_099085_2023-10-23_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2023-12-15 10:28:15	ga_ls8c_ard_3-2-1_102068_2023-12-15_final
2023-12-23 11:18:08	ga_ls8c_ard_3-2-1_110069_2023-12-23_final
2024-01-24 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-01-24_final
2024-02-27 09:32:16	ga_ls8c_ard_3-2-1_092083_2024-02-27_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