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
2013-06-05 10:11:58	ga_ls8c_ard_3-0-0_099069_2013-06-05_final
2013-11-07 11:38:00	ga_ls8c_ard_3-0-0_112084_2013-11-07_final
2013-12-11 09:44:36	ga_ls8c_ard_3-0-0_094079_2013-12-11_final
2013-12-16 10:05:29	ga_ls8c_ard_3-0-0_097085_2013-12-16_final
2014-01-27 10:35:22	ga_ls8c_ard_3-0-0_103068_2014-01-27_final
2014-04-14 10:09:44	ga_ls8c_ard_3-0-0_098084_2014-04-14_final
2014-06-05 11:19:33	ga_ls8c_ard_3-0-0_110074_2014-06-05_final
2014-06-26 11:41:45	ga_ls8c_ard_3-0-0_113083_2014-06-26_final
2014-11-08 11:42:04	ga_ls8c_ard_3-0-0_114067_2014-11-08_final
2014-12-25 11:05:27	ga_ls8c_ard_3-0-0_107084_2014-12-25_final
2015-03-28 10:30:21	ga_ls8c_ard_3-0-0_102075_2015-03-28_final
2015-08-26 10:38:01	ga_ls8c_ard_3-0-0_103078_2015-08-26_final
2015-09-03 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-09-03_final
2016-01-03 10:25:34	ga_ls8c_ard_3-0-0_101077_2016-01-03_final
2016-01-30 10:09:48	ga_ls8c_ard_3-0-0_098084_2016-01-30_final
2016-07-24 10:03:21	ga_ls8c_ard_3-0-0_098068_2016-07-24_final
2016-08-20 11:24:36	ga_ls8c_ard_3-0-0_111070_2016-08-20_final
2016-09-03 10:04:09	ga_ls8c_ard_3-0-0_097085_2016-09-03_final
2016-09-08 10:17:07	ga_ls8c_ard_3-0-0_100071_2016-09-08_final
2016-09-14 11:18:56	ga_ls8c_ard_3-0-0_110071_2016-09-14_final
2016-10-10 10:19:12	ga_ls8c_ard_3-0-0_100076_2016-10-10_final
2017-03-30 11:35:15	ga_ls8c_ard_3-0-0_113067_2017-03-30_final
2017-04-07 10:48:32	ga_ls8c_ard_3-0-0_105074_2017-04-07_final
2017-04-29 10:09:38	ga_ls8c_ard_3-0-0_099070_2017-04-29_final
2017-07-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2017-07-31_final
2017-09-14 10:49:54	ga_ls8c_ard_3-0-0_105076_2017-09-14_final
2017-11-26 10:40:36	ga_ls8c_ard_3-0-0_104068_2017-11-26_final
2017-12-01 11:01:54	ga_ls8c_ard_3-0-0_107075_2017-12-01_final
2017-12-17 11:04:44	ga_ls8c_ard_3-1-0_107082_2017-12-17_final
2018-01-04 10:47:33	ga_ls8c_ard_3-0-0_105070_2018-01-04_final
2018-01-19 10:03:46	ga_ls8c_ard_3-0-0_098069_2018-01-19_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-03-12 11:19:06	ga_ls8c_ard_3-0-0_110073_2018-03-12_final
2018-04-09 10:03:31	ga_ls8c_ard_3-0-0_098070_2018-04-09_final
2018-06-01 10:26:16	ga_ls8c_ard_3-0-0_101082_2018-06-01_final
2018-10-08 11:10:08	ga_ls8c_ard_3-0-0_108081_2018-10-08_final
2018-11-10 10:15:27	ga_ls8c_ard_3-0-0_099083_2018-11-10_final
2018-12-13 10:54:15	ga_ls8c_ard_3-0-0_106072_2018-12-13_final
2019-01-08 09:58:02	ga_ls8c_ard_3-0-0_096086_2019-01-08_final
2019-01-15 11:37:29	ga_ls8c_ard_3-0-0_113072_2019-01-15_final
2019-03-04 11:37:19	ga_ls8c_ard_3-0-0_113072_2019-03-04_final
2019-04-01 10:27:25	ga_ls8c_ard_3-1-0_101083_2019-04-01_final
2019-04-07 11:24:00	ga_ls8c_ard_3-1-0_111070_2019-04-07_final
2019-04-09 11:13:37	ga_ls8c_ard_3-1-0_109075_2019-04-09_final
2019-04-12 11:44:07	ga_ls8c_ard_3-1-0_114074_2019-04-12_final
2019-09-04 10:47:13	ga_ls8c_ard_3-1-0_105069_2019-09-04_final
2019-09-20 10:52:30	ga_ls8c_ard_3-1-0_105082_2019-09-20_final
2019-10-09 11:19:53	ga_ls8c_ard_3-1-0_110073_2019-10-09_final
2020-01-13 11:19:17	ga_ls8c_ard_3-1-0_110072_2020-01-13_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-02-09 11:05:00	ga_ls8c_ard_3-1-0_107083_2020-02-09_final
2020-02-10 10:04:36	ga_ls8c_ard_3-1-0_098071_2020-02-10_final
2020-03-30 10:49:07	ga_ls8c_ard_3-1-0_105075_2020-03-30_final
2020-04-10 10:29:42	ga_ls8c_ard_3-1-0_102073_2020-04-10_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-06-16 11:01:49	ga_ls8c_ard_3-1-0_107076_2020-06-16_final
2020-07-13 10:45:52	ga_ls8c_ard_3-1-0_104082_2020-07-13_final
2020-08-10 11:10:19	ga_ls8c_ard_3-1-0_108081_2020-08-10_final
2020-09-15 10:42:40	ga_ls8c_ard_3-1-0_104073_2020-09-15_final
2020-09-23 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-09-23_final
2020-09-29 10:55:53	ga_ls8c_ard_3-1-0_106075_2020-09-29_final
2020-10-06 11:02:53	ga_ls8c_ard_3-1-0_107077_2020-10-06_final
2021-01-08 11:14:21	ga_ls8c_ard_3-2-0_109075_2021-01-08_final
2021-01-12 09:10:43	ga_ls8c_ard_3-2-0_089075_2021-01-11_final
2021-01-13 09:58:22	ga_ls8c_ard_3-2-0_096086_2021-01-13_final
2021-02-02 11:07:40	ga_ls8c_ard_3-2-0_108074_2021-02-02_final
2021-02-07 11:24:36	ga_ls8c_ard_3-2-0_111070_2021-02-07_final
2021-05-02 11:01:18	ga_ls8c_ard_3-2-0_107075_2021-05-02_final
2021-06-03 09:27:50	ga_ls8c_ard_3-2-0_091088_2021-06-02_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-07-23 10:49:23	ga_ls8c_ard_3-2-0_105075_2021-07-23_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-09-09 10:47:16	ga_ls8c_ard_3-2-0_105069_2021-09-09_final
2021-09-14 09:26:09	ga_ls8c_ard_3-2-0_092067_2021-09-13_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-12-05 09:17:28	ga_ls8c_ard_3-2-0_090076_2021-12-04_final
2022-02-03 11:20:50	ga_ls8c_ard_3-2-1_110076_2022-02-03_final
2022-03-04 10:49:01	ga_ls8c_ard_3-2-1_105074_2022-03-04_final
2022-06-17 10:40:37	ga_ls8c_ard_3-2-1_104068_2022-06-17_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-06-25 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-06-25_final
2022-09-24 09:41:05	ga_ls8c_ard_3-2-1_093088_2022-09-24_final
2022-10-08 09:47:23	ga_ls8c_ard_3-2-1_095073_2022-10-08_final
2022-10-17 11:23:38	ga_ls8c_ard_3-2-1_110082_2022-10-17_final
2022-11-28 10:20:16	ga_ls8c_ard_3-2-1_100078_2022-11-28_final
2023-01-16 11:01:40	ga_ls8c_ard_3-2-1_107074_2023-01-16_final
2023-02-19 10:47:36	ga_ls8c_ard_3-2-1_105070_2023-02-19_final
2023-03-02 10:29:19	ga_ls8c_ard_3-2-1_102071_2023-03-02_final
2023-03-25 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-03-25_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-12-03 10:07:30	ga_ls8c_ard_3-2-1_098078_2023-12-03_final
2023-12-21 09:52:00	ga_ls8c_ard_3-2-1_096070_2023-12-21_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-01-10 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-01-09_final
2024-01-24 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-01-24_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-21 11:14:16	ga_ls8c_ard_3-2-1_109076_2024-03-21_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