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
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-26 11:16:58	ga_ls8c_ard_3-0-0_109077_2013-05-26_final
2013-07-17 10:51:46	ga_ls8c_ard_3-0-0_105076_2013-07-17_final
2013-07-20 11:22:16	ga_ls8c_ard_3-0-0_110075_2013-07-20_final
2013-07-27 09:48:47	ga_ls8c_ard_3-0-0_095073_2013-07-27_final
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-11-12 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-11-12_final
2014-04-23 11:41:55	ga_ls8c_ard_3-0-0_113083_2014-04-23_final
2014-05-04 09:39:54	ga_ls8c_ard_3-0-0_094072_2014-05-04_final
2014-09-09 09:39:58	ga_ls8c_ard_3-0-0_094071_2014-09-09_final
2014-12-30 09:45:51	ga_ls8c_ard_3-0-0_094086_2014-12-30_final
2015-03-10 09:06:23	ga_ls8c_ard_3-1-0_088081_2015-03-09_final
2015-03-29 11:13:35	ga_ls8c_ard_3-0-0_109075_2015-03-29_final
2015-05-30 09:44:41	ga_ls8c_ard_3-0-0_095070_2015-05-30_final
2015-07-01 11:22:41	ga_ls8c_ard_3-0-0_111067_2015-07-01_final
2016-02-11 10:30:03	ga_ls8c_ard_3-0-0_102073_2016-02-11_final
2016-06-17 11:25:47	ga_ls8c_ard_3-0-0_111074_2016-06-17_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-10-08 10:29:33	ga_ls8c_ard_3-0-0_102071_2016-10-08_final
2017-01-30 11:58:39	ga_ls8c_ard_3-0-0_116078_2017-01-30_final
2017-03-12 11:52:09	ga_ls8c_ard_3-0-0_115078_2017-03-12_final
2017-04-21 11:04:21	ga_ls8c_ard_3-0-0_107083_2017-04-21_final
2017-06-12 10:39:07	ga_ls8c_ard_3-0-0_103081_2017-06-12_final
2017-08-04 10:53:10	ga_ls8c_ard_3-0-0_106069_2017-08-04_final
2017-11-06 11:08:14	ga_ls8c_ard_3-0-0_108075_2017-11-06_final
2018-03-17 11:35:12	ga_ls8c_ard_3-0-0_113067_2018-03-17_final
2018-06-03 11:49:59	ga_ls8c_ard_3-0-0_115075_2018-06-03_final
2018-06-19 11:49:44	ga_ls8c_ard_3-0-0_115074_2018-06-19_final
2018-07-15 10:48:58	ga_ls8c_ard_3-0-0_105076_2018-07-15_final
2018-09-04 11:23:04	ga_ls8c_ard_3-0-0_110083_2018-09-04_final
2018-09-08 10:53:11	ga_ls8c_ard_3-0-0_106070_2018-09-08_final
2018-10-22 11:20:59	ga_ls8c_ard_3-0-0_110077_2018-10-22_final
2019-03-17 11:07:08	ga_ls8c_ard_3-1-0_108074_2019-03-17_final
2019-05-16 11:29:51	ga_ls8c_ard_3-0-0_112069_2019-05-16_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-08-19 10:49:09	ga_ls8c_ard_3-1-0_105074_2019-08-19_final
2019-08-21 10:36:00	ga_ls8c_ard_3-1-0_103072_2019-08-21_final
2019-10-14 11:40:02	ga_ls8c_ard_3-1-0_113077_2019-10-14_final
2019-11-23 10:50:07	ga_ls8c_ard_3-1-0_105076_2019-11-23_final
2020-01-17 10:57:45	ga_ls8c_ard_3-1-0_106080_2020-01-17_final
2020-05-19 10:35:17	ga_ls8c_ard_3-1-0_103072_2020-05-19_final
2020-06-29 10:33:25	ga_ls8c_ard_3-1-0_102082_2020-06-29_final
2021-01-18 10:10:05	ga_ls8c_ard_3-2-0_099069_2021-01-18_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-01-30 10:39:10	ga_ls8c_ard_3-2-0_103080_2021-01-30_final
2021-02-19 10:09:35	ga_ls8c_ard_3-2-0_099068_2021-02-19_final
2021-03-23 11:51:25	ga_ls8c_ard_3-2-0_115076_2021-03-23_final
2021-03-25 10:03:45	ga_ls8c_ard_3-2-0_097085_2021-03-25_final
2021-04-09 09:17:38	ga_ls8c_ard_3-2-0_090078_2021-04-08_final
2021-05-23 09:40:41	ga_ls8c_ard_3-2-0_094074_2021-05-23_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-06-17 11:13:34	ga_ls8c_ard_3-2-0_109074_2021-06-17_final
2021-06-22 09:57:14	ga_ls8c_ard_3-2-0_096084_2021-06-22_final
2021-07-01 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-07-01_final
2021-07-29 10:09:58	ga_ls8c_ard_3-2-0_099069_2021-07-29_final
2021-09-17 09:58:15	ga_ls8c_ard_3-2-0_097070_2021-09-17_final
2021-09-25 10:50:07	ga_ls8c_ard_3-2-0_105076_2021-09-25_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-10-21 11:25:43	ga_ls8c_ard_3-2-0_111072_2021-10-21_final
2021-11-28 10:46:58	ga_ls8c_ard_3-2-0_105068_2021-11-28_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2022-01-11 11:14:45	ga_ls8c_ard_3-2-1_109076_2022-01-11_final
2022-02-03 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-02-03_final
2022-02-23 09:21:55	ga_ls8c_ard_3-2-1_090088_2022-02-22_final
2022-04-05 10:48:46	ga_ls8c_ard_3-2-1_105074_2022-04-05_final
2022-04-23 10:35:39	ga_ls8c_ard_3-2-1_103072_2022-04-23_final
2022-05-12 11:09:27	ga_ls8c_ard_3-2-1_108079_2022-05-12_final
2022-06-27 11:19:21	ga_ls8c_ard_3-2-1_110072_2022-06-27_final
2022-07-09 11:46:52	ga_ls8c_ard_3-2-1_114079_2022-07-09_final
2022-07-15 11:08:09	ga_ls8c_ard_3-2-1_108075_2022-07-15_final
2022-07-29 11:23:53	ga_ls8c_ard_3-2-1_110083_2022-07-29_final
2022-08-09 11:05:51	ga_ls8c_ard_3-2-1_107084_2022-08-09_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-09-22 11:29:56	ga_ls8c_ard_3-2-1_111082_2022-09-22_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-10-19 11:06:30	ga_ls8c_ard_3-2-1_108070_2022-10-19_final
2023-01-01 11:47:50	ga_ls8c_ard_3-2-1_114081_2023-01-01_final
2023-03-02 10:29:19	ga_ls8c_ard_3-2-1_102071_2023-03-02_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-04-25 09:52:06	ga_ls8c_ard_3-2-1_096072_2023-04-25_final
2023-04-25 11:35:22	ga_ls8c_ard_3-2-1_112083_2023-04-25_final
2023-05-03 10:42:40	ga_ls8c_ard_3-2-1_104075_2023-05-03_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-14 11:18:58	ga_ls8c_ard_3-2-1_110073_2023-06-14_final
2023-06-14 11:19:21	ga_ls8c_ard_3-2-1_110074_2023-06-14_final
2023-07-02 09:33:04	ga_ls8c_ard_3-2-1_092086_2023-07-02_final
2023-07-05 09:56:49	ga_ls8c_ard_3-2-1_097068_2023-07-05_final
2023-08-08 11:23:57	ga_ls8c_ard_3-2-1_111069_2023-08-08_final
2023-10-04 11:20:01	ga_ls8c_ard_3-2-1_110074_2023-10-04_final
2023-10-27 11:25:30	ga_ls8c_ard_3-2-1_111072_2023-10-27_final
2023-11-18 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-11-17_final
2023-12-01 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-01_final
2024-01-02 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-02_final
2024-01-27 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-01-27_final
2024-01-31 11:25:20	ga_ls8c_ard_3-2-1_111072_2024-01-31_final
2024-02-25 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-02-25_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