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
2013-03-21 11:16:07	ga_ls8c_ard_3-0-0_110067_2013-03-21_final
2013-05-06 11:43:04	ga_ls8c_ard_3-0-0_113081_2013-05-06_final
2013-08-19 11:32:42	ga_ls8c_ard_3-0-0_112070_2013-08-19_final
2013-12-18 11:25:59	ga_ls8c_ard_3-0-0_111070_2013-12-18_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-02-26 10:48:07	ga_ls8c_ard_3-0-0_105070_2014-02-26_final
2014-04-09 11:23:24	ga_ls8c_ard_3-0-0_111067_2014-04-09_final
2014-07-06 10:39:15	ga_ls8c_ard_3-0-0_103081_2014-07-06_final
2014-08-17 11:11:48	ga_ls8c_ard_3-0-0_109069_2014-08-17_final
2014-08-31 11:29:46	ga_ls8c_ard_3-0-0_111083_2014-08-31_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-07-08 11:31:45	ga_ls8c_ard_3-0-0_112074_2015-07-08_final
2015-07-16 10:45:34	ga_ls8c_ard_3-0-0_104082_2015-07-16_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-11-13 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-11-13_final
2015-12-08 11:24:37	ga_ls8c_ard_3-0-0_111070_2015-12-08_final
2016-01-18 11:18:24	ga_ls8c_ard_3-0-0_110070_2016-01-18_final
2017-01-26 10:46:06	ga_ls8c_ard_3-0-0_104082_2017-01-26_final
2017-02-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2017-02-14_final
2017-09-29 11:42:03	ga_ls8c_ard_3-0-0_114067_2017-09-29_final
2017-10-28 11:14:02	ga_ls8c_ard_3-0-0_109074_2017-10-28_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-04-10 10:49:10	ga_ls8c_ard_3-0-0_105076_2018-04-10_final
2018-07-25 11:29:18	ga_ls8c_ard_3-0-0_111084_2018-07-25_final
2018-09-13 11:14:08	ga_ls8c_ard_3-0-0_109076_2018-09-13_final
2018-12-02 11:13:38	ga_ls8c_ard_3-0-0_109074_2018-12-02_final
2019-01-17 11:25:55	ga_ls8c_ard_3-0-0_111074_2019-01-17_final
2019-01-23 10:48:48	ga_ls8c_ard_3-0-0_105074_2019-01-23_final
2019-02-13 11:07:41	ga_ls8c_ard_3-0-0_108075_2019-02-13_final
2019-02-24 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-02-24_final
2019-03-04 11:37:19	ga_ls8c_ard_3-0-0_113072_2019-03-04_final
2019-03-19 10:52:23	ga_ls8c_ard_3-1-0_106068_2019-03-19_final
2019-04-13 10:48:53	ga_ls8c_ard_3-1-0_105075_2019-04-13_final
2019-04-18 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-04-18_final
2019-04-25 11:13:54	ga_ls8c_ard_3-0-0_109076_2019-04-25_final
2019-06-01 11:30:24	ga_ls8c_ard_3-0-0_112070_2019-06-01_final
2019-08-19 10:52:21	ga_ls8c_ard_3-1-0_105082_2019-08-19_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-12-16 10:53:29	ga_ls8c_ard_3-2-0_106069_2019-12-16_final
2020-01-13 11:18:53	ga_ls8c_ard_3-1-0_110071_2020-01-13_final
2020-01-20 11:24:15	ga_ls8c_ard_3-1-0_111069_2020-01-20_final
2020-02-28 11:35:02	ga_ls8c_ard_3-1-0_112081_2020-02-28_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-04-25 11:29:12	ga_ls8c_ard_3-1-0_111083_2020-04-25_final
2020-06-05 11:23:02	ga_ls8c_ard_3-1-0_110083_2020-06-05_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-10-15 10:55:55	ga_ls8c_ard_3-1-0_106075_2020-10-15_final
2020-10-22 11:02:06	ga_ls8c_ard_3-1-0_107075_2020-10-22_final
2020-10-29 11:08:40	ga_ls8c_ard_3-1-0_108076_2020-10-29_final
2020-11-10 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-11-10_final
2020-12-07 09:34:00	ga_ls8c_ard_3-1-0_093071_2020-12-07_final
2020-12-17 10:13:52	ga_ls8c_ard_3-2-0_099078_2020-12-17_final
2021-01-13 09:57:58	ga_ls8c_ard_3-2-0_096085_2021-01-13_final
2021-03-01 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-03-01_final
2021-03-19 10:39:15	ga_ls8c_ard_3-2-0_103081_2021-03-19_final
2021-03-22 11:06:33	ga_ls8c_ard_3-2-0_108072_2021-03-22_final
2021-04-12 11:24:12	ga_ls8c_ard_3-2-0_111070_2021-04-12_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-05-11 09:17:26	ga_ls8c_ard_3-2-0_090078_2021-05-10_final
2021-08-11 11:18:02	ga_ls8c_ard_3-2-0_110069_2021-08-11_final
2021-09-25 10:52:31	ga_ls8c_ard_3-2-0_105082_2021-09-25_final
2021-10-08 10:19:42	ga_ls8c_ard_3-2-0_100077_2021-10-08_final
2021-11-16 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-11-16_final
2021-11-18 10:15:50	ga_ls8c_ard_3-2-0_099083_2021-11-18_final
2021-12-05 10:53:09	ga_ls8c_ard_3-2-1_106068_2021-12-05_final
2021-12-23 10:46:19	ga_ls8c_ard_3-2-1_104082_2021-12-23_final
2022-01-04 09:28:54	ga_ls8c_ard_3-2-1_092074_2022-01-03_final
2022-02-07 09:21:13	ga_ls8c_ard_3-2-1_090086_2022-02-06_final
2022-04-04 10:03:54	ga_ls8c_ard_3-2-1_098070_2022-04-04_final
2022-04-12 10:55:24	ga_ls8c_ard_3-2-1_106075_2022-04-12_final
2022-04-14 10:45:51	ga_ls8c_ard_3-2-1_104082_2022-04-14_final
2022-04-27 10:09:42	ga_ls8c_ard_3-2-1_099069_2022-04-27_final
2022-07-29 09:40:13	ga_ls8c_ard_3-2-1_094071_2022-07-29_final
2022-08-08 10:19:47	ga_ls8c_ard_3-2-1_100077_2022-08-08_final
2022-09-09 10:19:53	ga_ls8c_ard_3-2-1_100077_2022-09-09_final
2022-09-17 09:29:18	ga_ls8c_ard_3-2-1_092074_2022-09-16_final
2023-01-12 11:25:39	ga_ls8c_ard_3-2-1_111072_2023-01-12_final
2023-01-16 09:21:59	ga_ls8c_ard_3-2-1_091072_2023-01-15_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-03-10 09:41:00	ga_ls8c_ard_3-2-1_094074_2023-03-10_final
2023-03-19 09:33:57	ga_ls8c_ard_3-2-1_093072_2023-03-19_final
2023-06-05 09:51:21	ga_ls8c_ard_3-2-1_095086_2023-06-05_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-07-09 11:17:00	ga_ls8c_ard_3-2-1_109083_2023-07-09_final
2023-07-16 11:19:37	ga_ls8c_ard_3-2-1_110074_2023-07-16_final
2023-07-23 09:50:32	ga_ls8c_ard_3-2-1_095083_2023-07-23_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-08-16 10:39:22	ga_ls8c_ard_3-2-1_103081_2023-08-16_final
2023-08-19 09:28:37	ga_ls8c_ard_3-2-1_092074_2023-08-18_final
2023-08-21 10:55:34	ga_ls8c_ard_3-2-1_106075_2023-08-21_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-10-06 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-10-05_final
2023-10-09 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-10-09_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2023-12-14 09:49:22	ga_ls8c_ard_3-2-1_095079_2023-12-14_final
2023-12-18 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-12-17_final
2024-01-03 09:27:22	ga_ls8c_ard_3-2-1_091086_2024-01-02_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-02-06 10:49:54	ga_ls8c_ard_3-2-1_105076_2024-02-06_final
2024-02-12 10:11:37	ga_ls8c_ard_3-2-1_099073_2024-02-12_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