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 10:48:56	ga_ls8c_ard_3-0-0_105069_2013-04-12_final
2013-07-13 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-13_final
2014-01-16 10:53:56	ga_ls8c_ard_3-0-0_106068_2014-01-16_final
2014-02-23 10:20:27	ga_ls8c_ard_3-0-0_100078_2014-02-23_final
2014-03-13 10:04:17	ga_ls8c_ard_3-0-0_098069_2014-03-13_final
2014-03-31 09:50:49	ga_ls8c_ard_3-0-0_096067_2014-03-31_final
2014-07-11 10:52:39	ga_ls8c_ard_3-0-0_106068_2014-07-11_final
2014-07-20 10:46:29	ga_ls8c_ard_3-0-0_105068_2014-07-20_final
2014-10-20 11:12:46	ga_ls8c_ard_3-0-0_109071_2014-10-20_final
2014-12-29 10:39:53	ga_ls8c_ard_3-0-0_103082_2014-12-29_final
2015-01-12 10:51:27	ga_ls8c_ard_3-0-0_105080_2015-01-12_final
2015-01-26 09:22:26	ga_ls8c_ard_3-0-0_091074_2015-01-25_final
2015-02-04 09:19:26	ga_ls8c_ard_3-0-0_090082_2015-02-03_final
2015-03-25 09:57:05	ga_ls8c_ard_3-0-0_097069_2015-03-25_final
2015-04-07 09:28:26	ga_ls8c_ard_3-0-0_092075_2015-04-06_final
2015-08-21 10:17:28	ga_ls8c_ard_3-0-0_100073_2015-08-21_final
2015-08-28 10:27:40	ga_ls8c_ard_3-0-0_101083_2015-08-28_final
2015-10-07 09:34:04	ga_ls8c_ard_3-0-0_093072_2015-10-07_final
2015-12-04 10:14:03	ga_ls8c_ard_3-0-0_099079_2015-12-04_final
2015-12-04 10:15:39	ga_ls8c_ard_3-0-0_099083_2015-12-04_final
2016-02-01 09:57:25	ga_ls8c_ard_3-0-0_096084_2016-02-01_final
2016-03-17 09:23:54	ga_ls8c_ard_3-0-0_091078_2016-03-16_final
2016-03-24 09:33:36	ga_ls8c_ard_3-0-0_092087_2016-03-24_final
2016-04-20 09:13:39	ga_ls8c_ard_3-0-0_089084_2016-04-19_final
2016-05-10 10:25:02	ga_ls8c_ard_3-0-0_101077_2016-05-10_final
2016-05-14 09:57:30	ga_ls8c_ard_3-0-0_097070_2016-05-14_final
2016-06-26 11:21:42	ga_ls8c_ard_3-0-0_110079_2016-06-26_final
2016-08-20 09:52:06	ga_ls8c_ard_3-0-0_095086_2016-08-20_final
2016-08-27 11:35:37	ga_ls8c_ard_3-0-0_112082_2016-08-27_final
2016-09-07 09:34:15	ga_ls8c_ard_3-0-0_093072_2016-09-07_final
2016-10-07 11:25:58	ga_ls8c_ard_3-0-0_111073_2016-10-07_final
2016-11-06 09:57:30	ga_ls8c_ard_3-0-0_097068_2016-11-06_final
2016-12-14 09:27:09	ga_ls8c_ard_3-0-0_091085_2016-12-13_final
2017-03-04 09:25:30	ga_ls8c_ard_3-0-0_091082_2017-03-03_final
2017-04-07 09:12:51	ga_ls8c_ard_3-0-0_089082_2017-04-06_final
2017-04-13 10:09:00	ga_ls8c_ard_3-0-0_099068_2017-04-13_final
2017-04-17 11:25:55	ga_ls8c_ard_3-0-0_111075_2017-04-17_final
2017-05-01 11:40:55	ga_ls8c_ard_3-0-0_113082_2017-05-01_final
2017-08-19 11:51:40	ga_ls8c_ard_3-0-0_115076_2017-08-19_final
2017-10-14 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-13_final
2017-11-08 10:53:28	ga_ls8c_ard_3-0-0_106069_2017-11-08_final
2017-11-20 09:41:38	ga_ls8c_ard_3-0-0_094075_2017-11-20_final
2017-11-30 10:18:15	ga_ls8c_ard_3-0-0_100074_2017-11-30_final
2018-05-01 09:33:25	ga_ls8c_ard_3-0-0_092088_2018-05-01_final
2018-06-23 11:22:40	ga_ls8c_ard_3-0-0_111068_2018-06-23_final
2018-07-31 09:11:24	ga_ls8c_ard_3-0-0_089079_2018-07-30_final
2018-08-29 10:20:50	ga_ls8c_ard_3-0-0_100082_2018-08-29_final
2018-08-31 11:46:34	ga_ls8c_ard_3-0-0_114080_2018-08-31_final
2018-09-29 09:40:09	ga_ls8c_ard_3-0-0_093088_2018-09-29_final
2018-11-26 10:10:39	ga_ls8c_ard_3-0-0_099071_2018-11-26_final
2018-12-07 09:52:05	ga_ls8c_ard_3-0-0_096071_2018-12-07_final
2019-02-24 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-02-24_final
2019-05-13 09:22:26	ga_ls8c_ard_3-0-0_091075_2019-05-12_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-09-16 09:35:31	ga_ls8c_ard_3-1-0_093075_2019-09-16_final
2019-09-24 10:23:25	ga_ls8c_ard_3-1-0_101071_2019-09-24_final
2019-10-19 11:58:59	ga_ls8c_ard_3-1-0_116078_2019-10-19_final
2019-10-22 09:12:31	ga_ls8c_ard_3-1-0_089079_2019-10-21_final
2019-12-12 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-12-12_final
2020-01-22 11:11:52	ga_ls8c_ard_3-1-0_109069_2020-01-22_final
2020-01-31 11:06:02	ga_ls8c_ard_3-1-0_108070_2020-01-31_final
2020-04-07 11:35:18	ga_ls8c_ard_3-1-0_113067_2020-04-07_final
2020-07-03 10:07:08	ga_ls8c_ard_3-1-0_098078_2020-07-03_final
2020-07-10 11:51:03	ga_ls8c_ard_3-1-0_115075_2020-07-10_final
2020-09-06 09:10:43	ga_ls8c_ard_3-1-0_089075_2020-09-05_final
2020-10-02 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-10-02_final
2020-10-30 10:09:51	ga_ls8c_ard_3-1-0_099068_2020-10-30_final
2021-01-03 10:53:51	ga_ls8c_ard_3-2-0_106070_2021-01-03_final
2021-01-04 09:57:02	ga_ls8c_ard_3-2-0_097067_2021-01-04_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-08-04 09:40:06	ga_ls8c_ard_3-2-0_093087_2021-08-04_final
2021-08-04 11:17:48	ga_ls8c_ard_3-2-0_109084_2021-08-04_final
2021-08-31 10:55:48	ga_ls8c_ard_3-2-0_106075_2021-08-31_final
2021-11-15 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-11-15_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2021-12-05 09:23:03	ga_ls8c_ard_3-2-0_090090_2021-12-04_final
2022-01-31 09:11:51	ga_ls8c_ard_3-2-1_089078_2022-01-30_final
2022-03-20 10:48:53	ga_ls8c_ard_3-2-1_105074_2022-03-20_final
2022-04-04 10:09:29	ga_ls8c_ard_3-2-1_098084_2022-04-04_final
2022-04-12 09:20:31	ga_ls8c_ard_3-2-1_090085_2022-04-11_final
2022-04-17 11:14:21	ga_ls8c_ard_3-2-1_109076_2022-04-17_final
2022-05-29 10:11:04	ga_ls8c_ard_3-2-1_099072_2022-05-29_final
2022-07-07 10:17:33	ga_ls8c_ard_3-2-1_100072_2022-07-07_final
2022-07-10 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-07-10_final
2022-07-26 10:50:10	ga_ls8c_ard_3-2-1_105076_2022-07-26_final
2022-08-10 10:04:39	ga_ls8c_ard_3-2-1_098070_2022-08-10_final
2022-08-26 11:47:33	ga_ls8c_ard_3-2-1_114080_2022-08-26_final
2022-09-02 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-09-02_final
2022-10-11 10:22:38	ga_ls8c_ard_3-2-1_100084_2022-10-11_final
2022-10-27 10:18:44	ga_ls8c_ard_3-2-1_100074_2022-10-27_final
2023-01-02 09:12:32	ga_ls8c_ard_3-2-1_089079_2023-01-01_final
2023-02-22 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-02-22_final
2023-02-23 10:24:23	ga_ls8c_ard_3-2-1_101074_2023-02-23_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-13 09:31:01	ga_ls8c_ard_3-2-1_092081_2023-04-13_final
2023-05-10 09:11:03	ga_ls8c_ard_3-2-1_089078_2023-05-09_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_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