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
2013-04-18 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-04-18_final
2013-09-27 11:40:18	ga_ls8c_ard_3-0-0_113074_2013-09-27_final
2014-01-21 11:14:52	ga_ls8c_ard_3-0-0_109074_2014-01-21_final
2014-03-04 10:14:05	ga_ls8c_ard_3-0-0_099078_2014-03-04_final
2014-04-02 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-04-02_final
2014-06-19 11:35:34	ga_ls8c_ard_3-0-0_112083_2014-06-19_final
2014-07-11 10:57:26	ga_ls8c_ard_3-0-0_106080_2014-07-11_final
2014-07-26 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-07-26_final
2015-02-18 11:07:45	ga_ls8c_ard_3-0-0_108075_2015-02-18_final
2015-02-19 10:10:08	ga_ls8c_ard_3-0-0_099070_2015-02-19_final
2015-02-19 10:13:20	ga_ls8c_ard_3-0-0_099078_2015-02-19_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-03-31 11:02:23	ga_ls8c_ard_3-0-0_107078_2015-03-31_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-05-05 09:57:20	ga_ls8c_ard_3-0-0_096086_2015-05-05_final
2015-06-20 10:04:15	ga_ls8c_ard_3-0-0_098072_2015-06-20_final
2015-08-02 09:52:01	ga_ls8c_ard_3-0-0_095087_2015-08-02_final
2015-08-13 09:33:08	ga_ls8c_ard_3-0-0_092086_2015-08-13_final
2015-08-27 11:17:42	ga_ls8c_ard_3-0-0_110069_2015-08-27_final
2015-09-23 11:04:56	ga_ls8c_ard_3-0-0_107083_2015-09-23_final
2015-10-26 10:03:02	ga_ls8c_ard_3-0-0_098067_2015-10-26_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-04-09 09:28:17	ga_ls8c_ard_3-0-0_092074_2016-04-08_final
2016-05-30 11:38:06	ga_ls8c_ard_3-0-0_113074_2016-05-30_final
2016-06-11 10:22:47	ga_ls8c_ard_3-0-0_101071_2016-06-11_final
2016-12-05 09:34:10	ga_ls8c_ard_3-0-0_092087_2016-12-05_final
2017-04-28 09:27:58	ga_ls8c_ard_3-0-0_092074_2017-04-27_final
2017-05-15 10:08:33	ga_ls8c_ard_3-0-0_099067_2017-05-15_final
2017-07-24 11:14:25	ga_ls8c_ard_3-0-0_109076_2017-07-24_final
2017-10-13 10:19:35	ga_ls8c_ard_3-0-0_100077_2017-10-13_final
2017-11-29 11:17:04	ga_ls8c_ard_3-0-0_109082_2017-11-29_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2017-12-16 11:58:22	ga_ls8c_ard_3-0-0_116077_2017-12-16_final
2018-04-27 11:31:28	ga_ls8c_ard_3-0-0_112074_2018-04-27_final
2018-05-22 09:50:07	ga_ls8c_ard_3-0-0_095084_2018-05-22_final
2018-08-12 09:33:27	ga_ls8c_ard_3-0-0_093072_2018-08-12_final
2018-09-13 09:33:15	ga_ls8c_ard_3-0-0_093071_2018-09-13_final
2018-11-26 10:13:03	ga_ls8c_ard_3-0-0_099077_2018-11-26_final
2018-11-28 11:35:35	ga_ls8c_ard_3-0-0_113067_2018-11-28_final
2019-02-19 10:33:23	ga_ls8c_ard_3-0-0_102082_2019-02-19_final
2019-03-22 11:28:27	ga_ls8c_ard_3-1-0_111081_2019-03-22_final
2019-03-31 09:37:46	ga_ls8c_ard_3-1-0_094067_2019-03-31_final
2019-05-06 10:55:03	ga_ls8c_ard_3-0-0_106075_2019-05-06_final
2019-09-30 11:23:39	ga_ls8c_ard_3-1-0_111067_2019-09-30_final
2019-10-12 11:51:35	ga_ls8c_ard_3-1-0_115075_2019-10-12_final
2019-11-19 09:34:22	ga_ls8c_ard_3-1-0_093072_2019-11-19_final
2020-01-06 09:34:39	ga_ls8c_ard_3-1-0_093073_2020-01-06_final
2020-01-31 09:28:45	ga_ls8c_ard_3-1-0_092074_2020-01-30_final
2020-02-23 09:38:26	ga_ls8c_ard_3-1-0_093083_2020-02-23_final
2020-03-10 09:35:56	ga_ls8c_ard_3-1-0_093077_2020-03-10_final
2020-04-16 11:35:27	ga_ls8c_ard_3-1-0_112083_2020-04-16_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-06-29 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-06-29_final
2020-09-30 09:59:04	ga_ls8c_ard_3-1-0_097072_2020-09-30_final
2020-10-04 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-10-04_final
2021-02-22 10:42:28	ga_ls8c_ard_3-2-0_104073_2021-02-22_final
2021-04-09 10:52:55	ga_ls8c_ard_3-2-0_106069_2021-04-09_final
2021-04-14 09:38:08	ga_ls8c_ard_3-2-0_093083_2021-04-14_final
2021-04-15 11:57:29	ga_ls8c_ard_3-2-0_116076_2021-04-15_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-06-25 10:27:45	ga_ls8c_ard_3-2-0_101083_2021-06-25_final
2021-07-10 11:19:49	ga_ls8c_ard_3-2-0_110074_2021-07-10_final
2021-08-16 09:57:43	ga_ls8c_ard_3-2-0_097069_2021-08-16_final
2021-08-16 11:37:48	ga_ls8c_ard_3-2-0_113072_2021-08-16_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-08-21 11:57:58	ga_ls8c_ard_3-2-0_116076_2021-08-21_final
2021-10-08 11:58:59	ga_ls8c_ard_3-2-0_116078_2021-10-08_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2021-12-05 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-12-04_final
2022-02-04 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-02-04_final
2022-02-04 10:28:00	ga_ls8c_ard_3-2-1_101083_2022-02-04_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-04-08 11:23:41	ga_ls8c_ard_3-2-1_110084_2022-04-08_final
2022-05-06 10:02:48	ga_ls8c_ard_3-2-1_098067_2022-05-06_final
2022-05-20 11:58:32	ga_ls8c_ard_3-2-1_116078_2022-05-20_final
2022-06-13 09:28:49	ga_ls8c_ard_3-2-1_092074_2022-06-12_final
2022-07-16 10:13:44	ga_ls8c_ard_3-2-1_099078_2022-07-16_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-20 09:47:05	ga_ls8c_ard_3-2-1_095073_2022-07-20_final
2022-07-22 11:14:50	ga_ls8c_ard_3-2-1_109076_2022-07-22_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-09-25 10:17:57	ga_ls8c_ard_3-2-1_100072_2022-09-25_final
2022-10-07 10:43:01	ga_ls8c_ard_3-2-1_104073_2022-10-07_final
2022-11-20 11:08:04	ga_ls8c_ard_3-2-1_108074_2022-11-20_final
2023-01-05 11:19:07	ga_ls8c_ard_3-2-1_110071_2023-01-05_final
2023-02-13 11:27:58	ga_ls8c_ard_3-2-1_111078_2023-02-13_final
2023-03-15 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-03-15_final
2023-04-09 11:35:28	ga_ls8c_ard_3-2-1_112083_2023-04-09_final
2023-04-27 09:39:44	ga_ls8c_ard_3-2-1_094072_2023-04-27_final
2023-05-07 10:21:05	ga_ls8c_ard_3-2-1_100083_2023-05-07_final
2023-09-06 09:21:51	ga_ls8c_ard_3-2-1_090088_2023-09-05_final
2023-09-24 10:40:31	ga_ls8c_ard_3-2-1_104068_2023-09-24_final
2023-09-27 09:33:45	ga_ls8c_ard_3-2-1_093071_2023-09-27_final
2023-11-15 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-11-15_final
2023-12-26 10:14:07	ga_ls8c_ard_3-2-1_099079_2023-12-26_final
2024-01-26 11:05:57	ga_ls8c_ard_3-2-1_108070_2024-01-26_final
2024-02-06 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-02-06_final
2024-02-13 09:17:11	ga_ls8c_ard_3-2-1_090076_2024-02-12_final
2024-02-22 09:10:34	ga_ls8c_ard_3-2-1_089075_2024-02-21_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