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
2013-03-23 10:55:07	ga_ls8c_ard_3-0-0_106068_2013-03-23_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-09-10 10:54:48	ga_ls8c_ard_3-0-0_106068_2013-09-10_final
2013-10-17 11:19:34	ga_ls8c_ard_3-0-0_109084_2013-10-17_final
2013-11-11 11:08:53	ga_ls8c_ard_3-0-0_108073_2013-11-11_final
2013-12-20 11:14:23	ga_ls8c_ard_3-0-0_109072_2013-12-20_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-04-22 10:52:41	ga_ls8c_ard_3-0-0_106068_2014-04-22_final
2014-04-25 09:51:02	ga_ls8c_ard_3-0-0_095084_2014-04-25_final
2014-04-25 11:29:31	ga_ls8c_ard_3-1-0_111083_2014-04-25_final
2014-05-07 11:51:14	ga_ls8c_ard_3-0-0_115076_2014-05-07_final
2014-08-24 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-08-24_final
2015-04-05 11:18:29	ga_ls8c_ard_3-0-0_110072_2015-04-05_final
2015-04-12 11:23:52	ga_ls8c_ard_3-0-0_111070_2015-04-12_final
2015-05-20 10:45:39	ga_ls8c_ard_3-0-0_105068_2015-05-20_final
2015-06-05 10:48:11	ga_ls8c_ard_3-0-0_105074_2015-06-05_final
2015-06-26 11:07:16	ga_ls8c_ard_3-0-0_108075_2015-06-26_final
2015-07-01 11:23:29	ga_ls8c_ard_3-0-0_111069_2015-07-01_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2015-10-30 11:23:12	ga_ls8c_ard_3-0-0_110082_2015-10-30_final
2016-01-21 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-21_final
2016-01-25 11:29:45	ga_ls8c_ard_3-0-0_111083_2016-01-25_final
2016-03-13 11:25:08	ga_ls8c_ard_3-0-0_111072_2016-03-13_final
2016-03-18 11:41:38	ga_ls8c_ard_3-0-0_114067_2016-03-18_final
2016-04-30 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-30_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-08-19 10:41:19	ga_ls8c_ard_3-0-0_104070_2016-08-19_final
2016-09-21 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-09-21_final
2016-10-18 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-10-18_final
2016-10-19 11:51:33	ga_ls8c_ard_3-0-0_115075_2016-10-19_final
2017-01-17 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-01-17_final
2017-05-21 11:14:01	ga_ls8c_ard_3-0-0_109076_2017-05-21_final
2017-06-26 10:49:34	ga_ls8c_ard_3-0-0_105076_2017-06-26_final
2017-07-01 11:06:31	ga_ls8c_ard_3-0-0_108072_2017-07-01_final
2017-07-18 11:51:03	ga_ls8c_ard_3-0-0_115075_2017-07-18_final
2017-10-07 10:53:51	ga_ls8c_ard_3-0-0_106070_2017-10-07_final
2017-12-01 11:00:19	ga_ls8c_ard_3-0-0_107071_2017-12-01_final
2018-01-05 11:32:24	ga_ls8c_ard_3-0-0_112074_2018-01-05_final
2018-02-22 11:30:02	ga_ls8c_ard_3-0-0_112069_2018-02-22_final
2018-06-09 11:10:33	ga_ls8c_ard_3-0-0_109069_2018-06-09_final
2018-06-18 11:08:52	ga_ls8c_ard_3-0-0_108080_2018-06-18_final
2018-08-25 10:45:31	ga_ls8c_ard_3-0-0_104082_2018-08-25_final
2018-09-10 09:06:20	ga_ls8c_ard_3-1-0_088081_2018-09-09_final
2018-09-30 11:57:31	ga_ls8c_ard_3-0-0_116076_2018-09-30_final
2018-11-30 11:23:13	ga_ls8c_ard_3-0-0_111067_2018-11-30_final
2019-01-01 09:45:53	ga_ls8c_ard_3-0-0_095071_2019-01-01_final
2019-04-27 11:00:45	ga_ls8c_ard_3-0-0_107074_2019-04-27_final
2019-06-23 10:57:27	ga_ls8c_ard_3-1-0_106080_2019-06-23_final
2019-06-25 09:06:37	ga_ls8c_ard_3-1-0_088081_2019-06-24_final
2019-07-15 11:58:32	ga_ls8c_ard_3-1-0_116078_2019-07-15_final
2019-11-16 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-11-15_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2020-04-30 10:02:02	ga_ls8c_ard_3-2-1_098066_2020-04-30_final
2020-05-31 11:04:27	ga_ls8c_ard_3-1-0_107083_2020-05-31_final
2020-08-08 09:46:11	ga_ls8c_ard_3-1-0_094087_2020-08-08_final
2020-08-19 11:05:24	ga_ls8c_ard_3-1-0_107084_2020-08-19_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-09-09 09:40:26	ga_ls8c_ard_3-1-0_094072_2020-09-09_final
2020-09-22 10:47:17	ga_ls8c_ard_3-1-0_105069_2020-09-22_final
2021-01-25 10:17:03	ga_ls8c_ard_3-2-0_100071_2021-01-25_final
2021-04-12 09:52:06	ga_ls8c_ard_3-2-0_095087_2021-04-12_final
2021-05-30 09:47:20	ga_ls8c_ard_3-2-0_095075_2021-05-30_final
2021-06-20 10:03:12	ga_ls8c_ard_3-2-0_098068_2021-06-20_final
2021-07-03 11:14:25	ga_ls8c_ard_3-2-0_109076_2021-07-03_final
2021-08-11 09:41:33	ga_ls8c_ard_3-2-0_094075_2021-08-11_final
2021-08-23 11:47:36	ga_ls8c_ard_3-2-0_114081_2021-08-23_final
2021-12-12 09:27:13	ga_ls8c_ard_3-2-1_091085_2021-12-11_final
2022-02-04 10:25:37	ga_ls8c_ard_3-2-1_101077_2022-02-04_final
2022-03-11 09:20:40	ga_ls8c_ard_3-2-1_090085_2022-03-10_final
2022-04-01 11:11:28	ga_ls8c_ard_3-2-1_109069_2022-04-01_final
2022-06-07 10:07:25	ga_ls8c_ard_3-2-1_098078_2022-06-07_final
2022-06-20 11:14:44	ga_ls8c_ard_3-2-1_109076_2022-06-20_final
2022-06-30 11:52:39	ga_ls8c_ard_3-2-1_115078_2022-06-30_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-10-03 09:29:41	ga_ls8c_ard_3-2-1_092075_2022-10-02_final
2022-10-19 09:34:48	ga_ls8c_ard_3-2-1_092088_2022-10-19_final
2022-12-20 11:19:31	ga_ls8c_ard_3-2-1_110072_2022-12-20_final
2022-12-20 11:24:43	ga_ls8c_ard_3-2-1_110085_2022-12-20_final
2022-12-28 10:31:40	ga_ls8c_ard_3-2-1_102076_2022-12-28_final
2023-01-30 09:34:02	ga_ls8c_ard_3-2-1_093071_2023-01-30_final
2023-02-05 10:34:37	ga_ls8c_ard_3-2-1_103068_2023-02-05_final
2023-02-15 09:39:30	ga_ls8c_ard_3-2-1_093085_2023-02-15_final
2023-02-18 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-02-18_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-03-28 09:30:52	ga_ls8c_ard_3-2-1_092080_2023-03-28_final
2023-04-21 10:16:25	ga_ls8c_ard_3-2-1_100071_2023-04-21_final
2023-06-01 10:09:38	ga_ls8c_ard_3-2-1_099070_2023-06-01_final
2023-06-05 11:28:38	ga_ls8c_ard_3-2-1_111082_2023-06-05_final
2023-06-06 10:28:38	ga_ls8c_ard_3-2-1_102071_2023-06-06_final
2023-06-23 09:39:06	ga_ls8c_ard_3-2-1_093086_2023-06-23_final
2023-06-24 11:58:05	ga_ls8c_ard_3-2-1_116078_2023-06-24_final
2023-06-30 09:39:49	ga_ls8c_ard_3-2-1_094072_2023-06-30_final
2023-07-18 09:29:58	ga_ls8c_ard_3-2-1_092078_2023-07-17_final
2023-08-15 09:57:17	ga_ls8c_ard_3-2-1_096084_2023-08-15_final
2023-11-09 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-11-08_final
2023-11-09 09:20:49	ga_ls8c_ard_3-2-1_090085_2023-11-08_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2024-01-09 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-01-09_final
2024-02-26 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-02-26_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