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
2013-04-12 09:13:47	ga_ls8c_ard_3-0-0_089078_2013-04-11_final
2013-05-11 10:23:12	ga_ls8c_ard_3-0-0_100082_2013-05-11_final
2013-05-21 09:18:44	ga_ls8c_ard_3-0-0_090075_2013-05-20_final
2013-05-30 10:51:51	ga_ls8c_ard_3-0-0_105076_2013-05-30_final
2013-08-08 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-08-08_final
2014-11-07 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-11-06_final
2015-02-14 11:30:28	ga_ls8c_ard_3-0-0_112070_2015-02-14_final
2015-05-05 09:50:33	ga_ls8c_ard_3-0-0_096069_2015-05-05_final
2015-05-23 09:37:17	ga_ls8c_ard_3-0-0_094067_2015-05-23_final
2015-05-28 11:34:43	ga_ls8c_ard_3-0-0_113067_2015-05-28_final
2015-08-11 11:17:35	ga_ls8c_ard_3-0-0_110069_2015-08-11_final
2015-09-05 09:33:28	ga_ls8c_ard_3-0-0_093071_2015-09-05_final
2015-10-12 11:29:53	ga_ls8c_ard_3-0-0_112068_2015-10-12_final
2015-11-08 09:34:33	ga_ls8c_ard_3-0-0_093073_2015-11-08_final
2015-12-03 11:08:29	ga_ls8c_ard_3-0-0_108076_2015-12-03_final
2015-12-12 09:21:48	ga_ls8c_ard_3-0-0_091072_2015-12-11_final
2015-12-13 11:41:57	ga_ls8c_ard_3-0-0_114067_2015-12-13_final
2015-12-23 10:40:58	ga_ls8c_ard_3-0-0_104069_2015-12-23_final
2016-01-13 09:21:46	ga_ls8c_ard_3-0-0_091072_2016-01-12_final
2016-02-03 11:17:57	ga_ls8c_ard_3-0-0_110069_2016-02-03_final
2016-02-15 11:41:46	ga_ls8c_ard_3-0-0_114067_2016-02-15_final
2016-03-09 10:10:12	ga_ls8c_ard_3-0-0_099070_2016-03-09_final
2016-06-21 09:22:14	ga_ls8c_ard_3-0-0_091074_2016-06-20_final
2016-07-15 10:13:28	ga_ls8c_ard_3-0-0_099078_2016-07-15_final
2016-07-16 09:21:27	ga_ls8c_ard_3-0-0_090087_2016-07-15_final
2016-09-02 09:17:17	ga_ls8c_ard_3-0-0_090076_2016-09-01_final
2017-03-16 11:23:00	ga_ls8c_ard_3-0-0_111067_2017-03-16_final
2017-04-19 09:33:04	ga_ls8c_ard_3-0-0_093071_2017-04-19_final
2017-05-19 09:47:28	ga_ls8c_ard_3-0-0_095076_2017-05-19_final
2017-05-31 11:52:48	ga_ls8c_ard_3-0-0_115080_2017-05-31_final
2017-06-13 11:17:36	ga_ls8c_ard_3-0-0_110069_2017-06-13_final
2017-07-19 09:21:21	ga_ls8c_ard_3-0-0_090087_2017-07-18_final
2017-08-18 09:33:31	ga_ls8c_ard_3-0-0_092086_2017-08-18_final
2017-08-30 11:29:58	ga_ls8c_ard_3-0-0_112068_2017-08-30_final
2017-12-25 11:53:23	ga_ls8c_ard_3-0-0_115080_2017-12-25_final
2018-05-08 09:33:08	ga_ls8c_ard_3-0-0_093072_2018-05-08_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-06-25 09:32:38	ga_ls8c_ard_3-0-0_093071_2018-06-25_final
2018-06-26 11:56:48	ga_ls8c_ard_3-0-0_116076_2018-06-26_final
2018-08-26 11:24:00	ga_ls8c_ard_3-0-0_111070_2018-08-26_final
2018-08-29 10:19:14	ga_ls8c_ard_3-0-0_100078_2018-08-29_final
2018-09-09 09:57:10	ga_ls8c_ard_3-0-0_097069_2018-09-09_final
2018-09-20 09:39:52	ga_ls8c_ard_3-0-0_094072_2018-09-20_final
2018-10-17 09:25:31	ga_ls8c_ard_3-0-0_091082_2018-10-16_final
2018-12-09 11:17:48	ga_ls8c_ard_3-0-0_110069_2018-12-09_final
2018-12-23 11:31:21	ga_ls8c_ard_3-0-0_112072_2018-12-23_final
2019-01-16 10:45:51	ga_ls8c_ard_3-0-0_104082_2019-01-16_final
2019-01-21 09:19:54	ga_ls8c_ard_3-0-0_091068_2019-01-20_final
2019-02-25 11:31:10	ga_ls8c_ard_3-0-0_112072_2019-02-25_final
2019-03-10 09:22:06	ga_ls8c_ard_3-1-0_091074_2019-03-09_final
2019-03-22 11:23:40	ga_ls8c_ard_3-1-0_111069_2019-03-22_final
2019-04-11 09:21:10	ga_ls8c_ard_3-1-0_091072_2019-04-10_final
2019-04-19 10:12:57	ga_ls8c_ard_3-1-0_099078_2019-04-19_final
2019-09-16 09:33:55	ga_ls8c_ard_3-1-0_093071_2019-09-16_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-02-26 10:04:08	ga_ls8c_ard_3-1-0_098070_2020-02-26_final
2020-03-10 09:33:33	ga_ls8c_ard_3-1-0_093071_2020-03-10_final
2020-03-31 11:31:10	ga_ls8c_ard_3-1-0_112072_2020-03-31_final
2020-06-21 09:39:55	ga_ls8c_ard_3-1-0_094072_2020-06-21_final
2020-06-22 10:26:23	ga_ls8c_ard_3-1-0_101080_2020-06-22_final
2020-07-02 09:21:28	ga_ls8c_ard_3-1-0_091072_2020-07-01_final
2020-08-17 09:33:40	ga_ls8c_ard_3-1-0_093071_2020-08-17_final
2020-08-30 10:46:09	ga_ls8c_ard_3-1-0_104082_2020-08-30_final
2020-10-20 09:34:23	ga_ls8c_ard_3-1-0_093072_2020-10-20_final
2021-01-10 09:23:54	ga_ls8c_ard_3-2-0_091077_2021-01-09_final
2021-01-20 11:37:47	ga_ls8c_ard_3-2-0_113072_2021-01-20_final
2021-02-20 10:53:38	ga_ls8c_ard_3-2-0_106070_2021-02-20_final
2021-03-11 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-03-11_final
2021-03-22 09:29:16	ga_ls8c_ard_3-2-0_092076_2021-03-21_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-05-17 11:57:23	ga_ls8c_ard_3-2-0_116076_2021-05-17_final
2021-05-26 10:13:13	ga_ls8c_ard_3-2-0_099078_2021-05-26_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-07-10 09:39:44	ga_ls8c_ard_3-2-0_094071_2021-07-10_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-10-15 10:23:06	ga_ls8c_ard_3-2-0_101070_2021-10-15_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2022-01-18 09:40:02	ga_ls8c_ard_3-2-1_094071_2022-01-18_final
2022-02-06 11:52:56	ga_ls8c_ard_3-2-1_115079_2022-02-06_final
2022-04-03 09:28:12	ga_ls8c_ard_3-2-1_091089_2022-04-02_final
2022-04-22 09:52:24	ga_ls8c_ard_3-2-1_096072_2022-04-22_final
2022-04-28 10:52:33	ga_ls8c_ard_3-2-1_106068_2022-04-28_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-08-07 09:34:07	ga_ls8c_ard_3-2-1_093071_2022-08-07_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2022-11-06 09:23:43	ga_ls8c_ard_3-2-1_090091_2022-11-05_final
2022-11-23 10:01:18	ga_ls8c_ard_3-2-1_097077_2022-11-23_final
2023-01-24 10:13:28	ga_ls8c_ard_3-2-1_099077_2023-01-24_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-05-01 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-04-30_final
2023-06-16 09:34:07	ga_ls8c_ard_3-2-1_092089_2023-06-16_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-10-11 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-10-11_final
2023-11-26 09:57:01	ga_ls8c_ard_3-2-1_097067_2023-11-26_final
2023-11-28 11:24:19	ga_ls8c_ard_3-2-1_111069_2023-11-28_final
2023-12-20 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-12-19_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