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
2013-07-24 11:00:21	ga_ls8c_ard_3-0-0_106082_2013-07-24_final
2013-08-19 11:32:18	ga_ls8c_ard_3-0-0_112069_2013-08-19_final
2013-08-19 11:32:42	ga_ls8c_ard_3-0-0_112070_2013-08-19_final
2013-10-30 10:43:21	ga_ls8c_ard_3-0-0_104071_2013-10-30_final
2013-11-02 11:16:16	ga_ls8c_ard_3-0-0_109076_2013-11-02_final
2013-11-13 11:00:06	ga_ls8c_ard_3-0-0_106082_2013-11-13_final
2014-03-05 10:53:45	ga_ls8c_ard_3-0-0_106069_2014-03-05_final
2014-04-06 10:52:57	ga_ls8c_ard_3-0-0_106068_2014-04-06_final
2014-04-18 09:45:44	ga_ls8c_ard_3-0-0_094086_2014-04-18_final
2014-05-26 10:42:45	ga_ls8c_ard_3-0-0_104075_2014-05-26_final
2014-06-09 10:55:16	ga_ls8c_ard_3-0-0_106075_2014-06-09_final
2014-08-21 10:49:05	ga_ls8c_ard_3-0-0_105074_2014-08-21_final
2015-01-04 11:35:42	ga_ls8c_ard_3-0-0_113067_2015-01-04_final
2015-04-03 11:31:38	ga_ls8c_ard_3-0-0_112074_2015-04-03_final
2015-04-07 11:07:19	ga_ls8c_ard_3-0-0_108075_2015-04-07_final
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2015-06-01 11:12:50	ga_ls8c_ard_3-0-0_109074_2015-06-01_final
2015-08-18 11:25:25	ga_ls8c_ard_3-0-0_111073_2015-08-18_final
2016-01-16 11:31:33	ga_ls8c_ard_3-0-0_112072_2016-01-16_final
2016-01-29 10:59:50	ga_ls8c_ard_3-0-0_107070_2016-01-29_final
2016-03-12 10:41:29	ga_ls8c_ard_3-0-0_104071_2016-03-12_final
2016-03-19 10:48:48	ga_ls8c_ard_3-0-0_105074_2016-03-19_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-04-30 11:23:17	ga_ls8c_ard_3-0-0_111068_2016-04-30_final
2016-06-10 11:18:00	ga_ls8c_ard_3-0-0_110070_2016-06-10_final
2016-06-26 09:45:37	ga_ls8c_ard_3-0-0_094086_2016-06-26_final
2016-11-30 10:47:44	ga_ls8c_ard_3-0-0_105070_2016-11-30_final
2017-01-06 11:09:44	ga_ls8c_ard_3-0-0_108079_2017-01-06_final
2017-01-10 10:40:37	ga_ls8c_ard_3-0-0_104068_2017-01-10_final
2017-01-29 11:17:47	ga_ls8c_ard_3-0-0_109084_2017-01-29_final
2017-02-09 10:55:09	ga_ls8c_ard_3-0-0_106074_2017-02-09_final
2017-05-03 09:51:40	ga_ls8c_ard_3-0-0_095087_2017-05-03_final
2017-05-25 10:48:33	ga_ls8c_ard_3-0-0_105074_2017-05-25_final
2017-10-03 09:40:28	ga_ls8c_ard_3-0-0_094072_2017-10-03_final
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2017-12-24 11:07:20	ga_ls8c_ard_3-0-0_108073_2017-12-24_final
2018-01-30 09:46:42	ga_ls8c_ard_3-0-0_095073_2018-01-30_final
2018-03-03 11:22:59	ga_ls8c_ard_3-0-0_111067_2018-03-03_final
2018-09-08 10:52:47	ga_ls8c_ard_3-0-0_106069_2018-09-08_final
2018-11-06 10:35:46	ga_ls8c_ard_3-0-0_103072_2018-11-06_final
2019-02-15 10:55:19	ga_ls8c_ard_3-0-0_106075_2019-02-15_final
2019-03-20 11:40:49	ga_ls8c_ard_3-1-0_113081_2019-03-20_final
2019-04-07 11:22:48	ga_ls8c_ard_3-1-0_111067_2019-04-07_final
2019-04-16 09:39:17	ga_ls8c_ard_3-1-0_094071_2019-04-16_final
2019-09-14 09:44:41	ga_ls8c_ard_3-1-0_095067_2019-09-14_final
2019-10-04 11:01:44	ga_ls8c_ard_3-1-0_107074_2019-10-04_final
2019-10-09 11:19:29	ga_ls8c_ard_3-1-0_110072_2019-10-09_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2019-11-30 10:53:07	ga_ls8c_ard_3-1-0_106068_2019-11-30_final
2019-11-30 10:55:54	ga_ls8c_ard_3-1-0_106075_2019-11-30_final
2019-12-09 10:50:07	ga_ls8c_ard_3-1-0_105076_2019-12-09_final
2020-01-09 11:42:02	ga_ls8c_ard_3-1-0_114067_2020-01-09_final
2020-09-22 10:47:17	ga_ls8c_ard_3-1-0_105069_2020-09-22_final
2020-10-24 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-10-24_final
2020-10-27 11:24:37	ga_ls8c_ard_3-1-0_110085_2020-10-27_final
2020-12-05 09:46:21	ga_ls8c_ard_3-1-0_095071_2020-12-05_final
2021-01-17 09:33:12	ga_ls8c_ard_3-2-0_092085_2021-01-17_final
2021-01-17 09:34:00	ga_ls8c_ard_3-2-0_092087_2021-01-17_final
2021-03-05 10:27:02	ga_ls8c_ard_3-2-0_101081_2021-03-05_final
2021-03-27 09:44:12	ga_ls8c_ard_3-2-0_095067_2021-03-27_final
2021-04-08 10:10:52	ga_ls8c_ard_3-2-0_099072_2021-04-08_final
2021-04-28 09:46:23	ga_ls8c_ard_3-2-0_095073_2021-04-28_final
2021-05-10 11:51:08	ga_ls8c_ard_3-2-0_115076_2021-05-10_final
2021-08-13 09:33:11	ga_ls8c_ard_3-2-0_092085_2021-08-13_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-10-17 10:09:57	ga_ls8c_ard_3-2-0_099068_2021-10-17_final
2021-10-17 10:14:45	ga_ls8c_ard_3-2-0_099080_2021-10-17_final
2021-12-05 09:18:16	ga_ls8c_ard_3-2-0_090078_2021-12-04_final
2022-01-02 09:40:28	ga_ls8c_ard_3-2-1_094072_2022-01-02_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-04-08 09:44:24	ga_ls8c_ard_3-2-1_094083_2022-04-08_final
2022-04-12 10:55:24	ga_ls8c_ard_3-2-1_106075_2022-04-12_final
2022-05-10 11:17:48	ga_ls8c_ard_3-2-1_110069_2022-05-10_final
2022-05-22 10:03:17	ga_ls8c_ard_3-2-1_098068_2022-05-22_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-08-13 10:36:21	ga_ls8c_ard_3-2-1_103072_2022-08-13_final
2022-08-27 09:14:39	ga_ls8c_ard_3-2-1_089084_2022-08-26_final
2022-09-29 11:32:54	ga_ls8c_ard_3-2-1_112074_2022-09-29_final
2022-10-12 11:03:05	ga_ls8c_ard_3-2-1_107077_2022-10-12_final
2022-11-06 10:56:13	ga_ls8c_ard_3-2-1_106075_2022-11-06_final
2022-12-08 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-12-07_final
2022-12-11 11:26:37	ga_ls8c_ard_3-2-1_111074_2022-12-11_final
2023-01-18 10:49:41	ga_ls8c_ard_3-2-1_105075_2023-01-18_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-04-14 10:15:52	ga_ls8c_ard_3-2-1_099085_2023-04-14_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-15 11:06:01	ga_ls8c_ard_3-2-1_108072_2023-05-15_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-24 10:21:11	ga_ls8c_ard_3-2-1_100083_2023-06-24_final
2023-07-09 09:33:44	ga_ls8c_ard_3-2-1_093072_2023-07-09_final
2023-09-21 11:52:52	ga_ls8c_ard_3-2-1_115079_2023-09-21_final
2023-10-24 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-10-24_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_2023-10-27_final
2023-11-03 11:32:28	ga_ls8c_ard_3-2-1_112074_2023-11-03_final
2024-01-26 09:32:39	ga_ls8c_ard_3-2-1_092084_2024-01-26_final
2024-02-06 10:49:54	ga_ls8c_ard_3-2-1_105076_2024-02-06_final
2024-03-03 09:46:45	ga_ls8c_ard_3-2-1_095073_2024-03-03_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