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
2013-04-30 10:37:37	ga_ls8c_ard_3-0-0_103072_2013-04-30_final
2013-05-19 09:28:17	ga_ls8c_ard_3-0-0_092068_2013-05-18_final
2013-12-15 09:19:50	ga_ls8c_ard_3-0-0_090079_2013-12-14_final
2013-12-26 10:37:17	ga_ls8c_ard_3-0-0_103072_2013-12-26_final
2014-01-02 10:46:36	ga_ls8c_ard_3-0-0_104080_2014-01-02_final
2014-03-21 09:19:30	ga_ls8c_ard_3-0-0_090081_2014-03-20_final
2014-08-11 10:10:46	ga_ls8c_ard_3-0-0_099071_2014-08-11_final
2014-09-16 11:24:38	ga_ls8c_ard_3-0-0_111070_2014-09-16_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-11-05 09:34:39	ga_ls8c_ard_3-0-0_093073_2014-11-05_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2014-12-30 09:45:51	ga_ls8c_ard_3-0-0_094086_2014-12-30_final
2015-03-07 10:15:13	ga_ls8c_ard_3-0-0_099083_2015-03-07_final
2015-05-18 09:21:31	ga_ls8c_ard_3-0-0_091074_2015-05-17_final
2015-06-10 09:25:30	ga_ls8c_ard_3-0-0_092068_2015-06-09_final
2015-06-19 09:19:24	ga_ls8c_ard_3-0-0_091068_2015-06-18_final
2015-08-11 09:45:29	ga_ls8c_ard_3-0-0_094086_2015-08-11_final
2015-08-26 10:38:01	ga_ls8c_ard_3-0-0_103078_2015-08-26_final
2015-09-19 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-09-19_final
2015-10-30 09:44:43	ga_ls8c_ard_3-0-0_094083_2015-10-30_final
2015-11-07 10:33:22	ga_ls8c_ard_3-0-0_102081_2015-11-07_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2015-12-17 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-17_final
2016-03-24 09:33:36	ga_ls8c_ard_3-0-0_092087_2016-03-24_final
2016-05-20 09:22:04	ga_ls8c_ard_3-0-0_091074_2016-05-19_final
2016-07-21 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-07-21_final
2016-09-11 09:14:44	ga_ls8c_ard_3-0-0_089085_2016-09-10_final
2016-10-13 10:46:56	ga_ls8c_ard_3-0-0_105068_2016-10-13_final
2016-10-26 10:21:39	ga_ls8c_ard_3-0-0_100082_2016-10-26_final
2016-12-08 09:57:05	ga_ls8c_ard_3-0-0_097067_2016-12-08_final
2017-02-08 10:10:42	ga_ls8c_ard_3-0-0_099071_2017-02-08_final
2017-02-12 11:26:02	ga_ls8c_ard_3-0-0_111074_2017-02-12_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-03-19 10:18:59	ga_ls8c_ard_3-0-0_100077_2017-03-19_final
2017-03-23 11:31:06	ga_ls8c_ard_3-0-0_112072_2017-03-23_final
2017-05-01 09:57:15	ga_ls8c_ard_3-0-0_097070_2017-05-01_final
2017-05-23 11:04:28	ga_ls8c_ard_3-0-0_107083_2017-05-23_final
2017-06-23 10:17:03	ga_ls8c_ard_3-0-0_100072_2017-06-23_final
2017-06-29 11:17:41	ga_ls8c_ard_3-0-0_110069_2017-06-29_final
2018-02-17 09:35:02	ga_ls8c_ard_3-0-0_093075_2018-02-17_final
2018-05-03 10:55:08	ga_ls8c_ard_3-0-0_106076_2018-05-03_final
2018-07-04 11:09:01	ga_ls8c_ard_3-0-0_108080_2018-07-04_final
2018-08-21 11:06:13	ga_ls8c_ard_3-0-0_108072_2018-08-21_final
2018-08-28 09:39:33	ga_ls8c_ard_3-0-0_093087_2018-08-28_final
2018-09-22 11:11:11	ga_ls8c_ard_3-0-0_108084_2018-09-22_final
2018-10-20 09:58:02	ga_ls8c_ard_3-0-0_096086_2018-10-20_final
2018-11-14 11:23:14	ga_ls8c_ard_3-0-0_111067_2018-11-14_final
2018-12-31 09:06:12	ga_ls8c_ard_3-0-0_088080_2018-12-30_final
2019-01-30 09:17:16	ga_ls8c_ard_3-0-0_090077_2019-01-29_final
2019-02-20 11:13:51	ga_ls8c_ard_3-0-0_109075_2019-02-20_final
2019-04-24 10:28:16	ga_ls8c_ard_3-0-0_102070_2019-04-24_final
2019-05-29 10:59:28	ga_ls8c_ard_3-0-0_107070_2019-05-29_final
2019-06-01 11:35:35	ga_ls8c_ard_3-0-0_112083_2019-06-01_final
2019-06-17 11:30:30	ga_ls8c_ard_3-1-0_112070_2019-06-17_final
2019-06-28 09:31:56	ga_ls8c_ard_3-1-0_093067_2019-06-28_final
2019-11-08 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-11-08_final
2019-11-17 11:26:01	ga_ls8c_ard_3-1-0_111073_2019-11-17_final
2020-01-24 10:59:54	ga_ls8c_ard_3-1-0_107070_2020-01-24_final
2020-05-17 09:11:32	ga_ls8c_ard_3-1-0_089079_2020-05-16_final
2020-05-31 09:24:46	ga_ls8c_ard_3-1-0_091081_2020-05-30_final
2020-08-03 09:28:49	ga_ls8c_ard_3-1-0_091090_2020-08-02_final
2020-08-15 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-08-15_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-10-02 09:46:43	ga_ls8c_ard_3-1-0_095072_2020-10-02_final
2020-10-14 10:13:27	ga_ls8c_ard_3-1-0_099077_2020-10-14_final
2021-01-25 10:17:03	ga_ls8c_ard_3-2-0_100071_2021-01-25_final
2021-02-01 10:28:00	ga_ls8c_ard_3-2-0_101083_2021-02-01_final
2021-04-07 11:10:53	ga_ls8c_ard_3-2-0_108083_2021-04-07_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-08-13 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-08-13_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-10-09 09:28:04	ga_ls8c_ard_3-2-0_091087_2021-10-08_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-11-18 10:10:15	ga_ls8c_ard_3-2-0_099069_2021-11-18_final
2021-11-18 10:13:03	ga_ls8c_ard_3-2-0_099076_2021-11-18_final
2022-01-15 10:47:38	ga_ls8c_ard_3-2-1_105070_2022-01-15_final
2022-02-03 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-02-03_final
2022-02-06 10:14:03	ga_ls8c_ard_3-2-1_099079_2022-02-06_final
2022-02-08 11:42:09	ga_ls8c_ard_3-2-1_113083_2022-02-08_final
2022-02-22 10:13:57	ga_ls8c_ard_3-2-1_099079_2022-02-22_final
2022-04-26 09:28:50	ga_ls8c_ard_3-2-1_092075_2022-04-25_final
2022-08-30 09:45:33	ga_ls8c_ard_3-2-1_094084_2022-08-30_final
2022-09-04 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-09-04_final
2022-10-16 10:36:22	ga_ls8c_ard_3-2-1_103072_2022-10-16_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-11-25 11:26:38	ga_ls8c_ard_3-2-1_111074_2022-11-25_final
2022-11-30 10:05:54	ga_ls8c_ard_3-2-1_098073_2022-11-30_final
2022-12-18 11:32:43	ga_ls8c_ard_3-2-1_112074_2022-12-18_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-02-07 10:27:50	ga_ls8c_ard_3-2-1_101082_2023-02-07_final
2023-03-21 09:27:09	ga_ls8c_ard_3-2-1_091086_2023-03-20_final
2023-05-26 10:51:30	ga_ls8c_ard_3-2-1_105082_2023-05-26_final
2023-06-23 11:14:24	ga_ls8c_ard_3-2-1_109077_2023-06-23_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-09-20 09:34:43	ga_ls8c_ard_3-2-1_092089_2023-09-20_final
2023-10-01 10:49:08	ga_ls8c_ard_3-2-1_105074_2023-10-01_final
2023-11-05 11:18:06	ga_ls8c_ard_3-2-1_110069_2023-11-05_final
2024-01-06 09:57:27	ga_ls8c_ard_3-2-1_096084_2024-01-06_final
2024-01-11 10:12:50	ga_ls8c_ard_3-2-1_099076_2024-01-11_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