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
2013-04-06 10:10:17	ga_ls8c_ard_3-0-0_098084_2013-04-06_final
2013-05-22 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-05-22_final
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-07-06 09:35:50	ga_ls8c_ard_3-0-0_092087_2013-07-06_final
2013-07-27 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-07-27_final
2013-09-15 11:18:30	ga_ls8c_ard_3-0-0_109081_2013-09-15_final
2013-12-17 10:45:08	ga_ls8c_ard_3-0-0_104076_2013-12-17_final
2013-12-19 10:31:08	ga_ls8c_ard_3-0-0_102072_2013-12-19_final
2014-05-22 09:32:57	ga_ls8c_ard_3-0-0_092086_2014-05-22_final
2014-05-27 11:23:38	ga_ls8c_ard_3-0-0_111069_2014-05-27_final
2014-06-04 10:35:29	ga_ls8c_ard_3-0-0_103072_2014-06-04_final
2014-07-23 09:40:06	ga_ls8c_ard_3-0-0_094072_2014-07-23_final
2014-09-06 10:49:56	ga_ls8c_ard_3-0-0_105076_2014-09-06_final
2014-09-09 11:23:38	ga_ls8c_ard_3-0-0_110083_2014-09-09_final
2014-09-15 10:46:09	ga_ls8c_ard_3-0-0_104082_2014-09-15_final
2014-09-29 10:52:31	ga_ls8c_ard_3-0-0_106067_2014-09-29_final
2014-12-23 11:17:50	ga_ls8c_ard_3-0-0_109084_2014-12-23_final
2015-01-22 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-01-22_final
2015-01-25 10:17:15	ga_ls8c_ard_3-0-0_100072_2015-01-25_final
2015-03-22 11:07:30	ga_ls8c_ard_3-0-0_108075_2015-03-22_final
2015-03-29 11:13:35	ga_ls8c_ard_3-0-0_109075_2015-03-29_final
2015-04-20 10:33:37	ga_ls8c_ard_3-0-0_103068_2015-04-20_final
2015-05-02 09:26:29	ga_ls8c_ard_3-0-0_091086_2015-05-01_final
2015-05-02 09:27:17	ga_ls8c_ard_3-0-0_091088_2015-05-01_final
2015-05-13 09:06:10	ga_ls8c_ard_3-0-0_088082_2015-05-12_final
2015-10-23 11:14:12	ga_ls8c_ard_3-0-0_109075_2015-10-23_final
2015-11-15 09:40:20	ga_ls8c_ard_3-0-0_094072_2015-11-15_final
2015-12-21 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-21_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2016-01-09 11:24:33	ga_ls8c_ard_3-0-0_111070_2016-01-09_final
2016-04-08 10:25:30	ga_ls8c_ard_3-0-0_101078_2016-04-08_final
2016-05-04 09:22:54	ga_ls8c_ard_3-0-0_091076_2016-05-03_final
2016-06-06 11:41:31	ga_ls8c_ard_3-0-0_114067_2016-06-06_final
2016-07-03 11:25:09	ga_ls8c_ard_3-0-0_111072_2016-07-03_final
2016-08-09 11:45:51	ga_ls8c_ard_3-0-0_114077_2016-08-09_final
2016-08-29 11:20:28	ga_ls8c_ard_3-0-0_110075_2016-08-29_final
2016-11-05 10:53:32	ga_ls8c_ard_3-0-0_106069_2016-11-05_final
2017-01-31 11:03:25	ga_ls8c_ard_3-0-0_107079_2017-01-31_final
2017-07-18 11:51:03	ga_ls8c_ard_3-0-0_115075_2017-07-18_final
2017-11-06 11:11:49	ga_ls8c_ard_3-0-0_108084_2017-11-06_final
2017-11-11 09:46:40	ga_ls8c_ard_3-0-0_095072_2017-11-11_final
2017-12-13 11:24:39	ga_ls8c_ard_3-0-0_111070_2017-12-13_final
2018-04-14 10:26:48	ga_ls8c_ard_3-0-0_101082_2018-04-14_final
2018-06-19 10:15:15	ga_ls8c_ard_3-0-0_099085_2018-06-19_final
2018-10-04 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-10-04_final
2018-10-22 11:23:46	ga_ls8c_ard_3-0-0_110084_2018-10-22_final
2018-12-25 11:19:47	ga_ls8c_ard_3-0-0_110074_2018-12-25_final
2019-01-04 10:21:58	ga_ls8c_ard_3-0-0_100084_2019-01-04_final
2019-01-06 10:09:36	ga_ls8c_ard_3-0-0_098084_2019-01-06_final
2019-02-02 11:23:04	ga_ls8c_ard_3-0-0_111067_2019-02-02_final
2019-05-13 09:22:26	ga_ls8c_ard_3-0-0_091075_2019-05-12_final
2019-06-01 11:31:12	ga_ls8c_ard_3-0-0_112072_2019-06-01_final
2019-07-08 10:13:27	ga_ls8c_ard_3-1-0_099078_2019-07-08_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-07-28 11:25:43	ga_ls8c_ard_3-1-0_111073_2019-07-28_final
2019-09-11 10:55:50	ga_ls8c_ard_3-1-0_106075_2019-09-11_final
2019-09-26 10:15:27	ga_ls8c_ard_3-1-0_099082_2019-09-26_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2020-04-01 10:39:08	ga_ls8c_ard_3-1-0_103081_2020-04-01_final
2020-05-01 10:48:52	ga_ls8c_ard_3-1-0_105075_2020-05-01_final
2020-05-09 11:35:03	ga_ls8c_ard_3-1-0_113067_2020-05-09_final
2020-05-18 11:29:42	ga_ls8c_ard_3-1-0_112069_2020-05-18_final
2020-05-20 11:22:56	ga_ls8c_ard_3-1-0_110083_2020-05-20_final
2020-07-19 10:09:37	ga_ls8c_ard_3-1-0_098084_2020-07-19_final
2020-09-24 10:34:56	ga_ls8c_ard_3-1-0_103069_2020-09-24_final
2020-10-28 10:23:25	ga_ls8c_ard_3-1-0_101071_2020-10-28_final
2021-02-04 10:54:54	ga_ls8c_ard_3-2-0_106073_2021-02-04_final
2021-03-15 09:19:56	ga_ls8c_ard_3-2-0_091068_2021-03-14_final
2021-03-17 10:46:50	ga_ls8c_ard_3-2-0_105069_2021-03-17_final
2021-03-27 11:23:53	ga_ls8c_ard_3-2-0_111069_2021-03-27_final
2021-04-07 11:10:53	ga_ls8c_ard_3-2-0_108083_2021-04-07_final
2021-04-17 10:03:01	ga_ls8c_ard_3-2-0_098068_2021-04-17_final
2021-04-30 09:34:24	ga_ls8c_ard_3-2-0_093074_2021-04-30_final
2021-05-10 10:10:39	ga_ls8c_ard_3-2-0_099072_2021-05-10_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-07-12 09:33:45	ga_ls8c_ard_3-2-0_092087_2021-07-12_final
2021-07-31 09:58:25	ga_ls8c_ard_3-2-0_097071_2021-07-31_final
2021-10-31 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-31_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-06 09:50:48	ga_ls8c_ard_3-2-0_095082_2021-11-06_final
2021-11-26 11:02:07	ga_ls8c_ard_3-2-0_107075_2021-11-26_final
2022-01-02 11:20:09	ga_ls8c_ard_3-2-1_110074_2022-01-02_final
2022-04-12 10:57:48	ga_ls8c_ard_3-2-1_106081_2022-04-12_final
2022-04-20 10:04:46	ga_ls8c_ard_3-2-1_098072_2022-04-20_final
2022-05-02 10:30:40	ga_ls8c_ard_3-2-1_102075_2022-05-02_final
2022-05-12 09:33:45	ga_ls8c_ard_3-2-1_092087_2022-05-12_final
2022-06-11 11:18:02	ga_ls8c_ard_3-2-1_110069_2022-06-11_final
2022-07-01 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-07-01_final
2022-08-19 09:58:06	ga_ls8c_ard_3-2-1_097069_2022-08-19_final
2022-08-28 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-08-28_final
2022-10-14 10:49:30	ga_ls8c_ard_3-2-1_105074_2022-10-14_final
2023-01-18 09:11:35	ga_ls8c_ard_3-2-1_089077_2023-01-17_final
2023-02-19 10:49:36	ga_ls8c_ard_3-2-1_105075_2023-02-19_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-07-14 11:34:46	ga_ls8c_ard_3-2-1_112081_2023-07-14_final
2023-07-23 11:25:49	ga_ls8c_ard_3-2-1_111074_2023-07-23_final
2023-10-24 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-10-24_final
2023-10-27 11:24:18	ga_ls8c_ard_3-2-1_111069_2023-10-27_final
2023-11-18 09:13:32	ga_ls8c_ard_3-2-1_089082_2023-11-17_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