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
2013-05-22 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-05-22_final
2013-10-13 11:39:31	ga_ls8c_ard_3-0-0_113072_2013-10-13_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-04-08 10:45:21	ga_ls8c_ard_3-0-0_104080_2014-04-08_final
2014-05-16 11:46:57	ga_ls8c_ard_3-0-0_114081_2014-05-16_final
2014-09-03 10:21:48	ga_ls8c_ard_3-0-0_100083_2014-09-03_final
2014-09-17 10:33:47	ga_ls8c_ard_3-0-0_102082_2014-09-17_final
2014-11-26 11:31:39	ga_ls8c_ard_3-0-0_112072_2014-11-26_final
2014-11-26 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-11-26_final
2015-01-02 11:53:14	ga_ls8c_ard_3-0-0_115080_2015-01-02_final
2015-03-20 11:23:52	ga_ls8c_ard_3-0-0_110085_2015-03-20_final
2015-09-19 11:29:38	ga_ls8c_ard_3-0-0_111083_2015-09-19_final
2015-12-31 11:31:35	ga_ls8c_ard_3-0-0_112072_2015-12-31_final
2016-08-20 11:24:36	ga_ls8c_ard_3-0-0_111070_2016-08-20_final
2016-08-25 11:47:34	ga_ls8c_ard_3-0-0_114081_2016-08-25_final
2016-10-30 11:31:49	ga_ls8c_ard_3-0-0_112072_2016-10-30_final
2017-03-11 11:07:43	ga_ls8c_ard_3-0-0_108075_2017-03-11_final
2017-06-13 11:17:36	ga_ls8c_ard_3-0-0_110069_2017-06-13_final
2017-07-22 11:24:22	ga_ls8c_ard_3-0-0_111070_2017-07-22_final
2017-08-05 09:58:21	ga_ls8c_ard_3-0-0_097071_2017-08-05_final
2017-08-21 11:42:07	ga_ls8c_ard_3-0-0_113083_2017-08-21_final
2017-10-17 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-10-17_final
2017-11-27 11:24:15	ga_ls8c_ard_3-0-0_111069_2017-11-27_final
2018-02-02 11:57:15	ga_ls8c_ard_3-0-0_116075_2018-02-02_final
2018-05-29 11:29:30	ga_ls8c_ard_3-0-0_112070_2018-05-29_final
2018-09-02 11:30:14	ga_ls8c_ard_3-0-0_112070_2018-09-02_final
2018-10-19 10:52:03	ga_ls8c_ard_3-0-0_105082_2018-10-19_final
2018-11-12 11:37:35	ga_ls8c_ard_3-0-0_113072_2018-11-12_final
2018-11-16 11:11:40	ga_ls8c_ard_3-0-0_109069_2018-11-16_final
2018-11-23 11:23:26	ga_ls8c_ard_3-0-0_110083_2018-11-23_final
2018-11-29 10:42:21	ga_ls8c_ard_3-0-0_104073_2018-11-29_final
2018-12-07 11:30:34	ga_ls8c_ard_3-0-0_112070_2018-12-07_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-01-20 11:57:36	ga_ls8c_ard_3-0-0_116076_2019-01-20_final
2019-02-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2019-02-18_final
2019-03-28 10:46:10	ga_ls8c_ard_3-1-0_105068_2019-03-28_final
2019-04-19 11:50:38	ga_ls8c_ard_3-1-0_115075_2019-04-19_final
2019-05-31 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-05-31_final
2019-06-17 11:36:06	ga_ls8c_ard_3-1-0_112084_2019-06-17_final
2019-08-19 10:49:33	ga_ls8c_ard_3-1-0_105075_2019-08-19_final
2019-09-03 10:03:33	ga_ls8c_ard_3-1-0_098068_2019-09-03_final
2019-10-06 10:50:10	ga_ls8c_ard_3-1-0_105076_2019-10-06_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-11-24 11:32:11	ga_ls8c_ard_3-1-0_112073_2019-11-24_final
2019-12-06 11:57:42	ga_ls8c_ard_3-1-0_116075_2019-12-06_final
2019-12-26 11:31:43	ga_ls8c_ard_3-1-0_112072_2019-12-26_final
2020-02-12 11:31:55	ga_ls8c_ard_3-1-0_112073_2020-02-12_final
2020-03-27 11:57:32	ga_ls8c_ard_3-1-0_116076_2020-03-27_final
2020-04-06 10:55:14	ga_ls8c_ard_3-1-0_106075_2020-04-06_final
2020-06-10 09:56:46	ga_ls8c_ard_3-1-0_097068_2020-06-10_final
2020-06-12 11:24:30	ga_ls8c_ard_3-1-0_111071_2020-06-12_final
2020-06-26 09:56:31	ga_ls8c_ard_3-1-0_097067_2020-06-26_final
2020-07-02 11:05:08	ga_ls8c_ard_3-1-0_107084_2020-07-02_final
2020-07-11 10:55:26	ga_ls8c_ard_3-1-0_106075_2020-07-11_final
2020-09-16 11:24:44	ga_ls8c_ard_3-1-0_111070_2020-09-16_final
2020-09-30 09:57:29	ga_ls8c_ard_3-1-0_097068_2020-09-30_final
2020-10-04 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-10-04_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-10-27 11:18:14	ga_ls8c_ard_3-1-0_110069_2020-10-27_final
2020-12-07 09:34:48	ga_ls8c_ard_3-1-0_093073_2020-12-07_final
2020-12-11 09:10:52	ga_ls8c_ard_3-1-0_089075_2020-12-10_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2020-12-18 10:55:55	ga_ls8c_ard_3-2-0_106075_2020-12-18_final
2020-12-28 09:52:53	ga_ls8c_ard_3-2-0_096072_2020-12-28_final
2021-01-01 09:26:09	ga_ls8c_ard_3-2-0_092067_2020-12-31_final
2021-01-22 09:46:09	ga_ls8c_ard_3-2-0_095071_2021-01-22_final
2021-03-30 11:57:34	ga_ls8c_ard_3-2-0_116076_2021-03-30_final
2021-04-27 09:07:07	ga_ls8c_ard_3-2-0_088083_2021-04-26_final
2021-05-23 09:39:29	ga_ls8c_ard_3-2-0_094071_2021-05-23_final
2021-06-22 11:29:44	ga_ls8c_ard_3-2-0_112068_2021-06-22_final
2021-07-12 09:25:47	ga_ls8c_ard_3-2-0_092067_2021-07-11_final
2021-07-21 09:22:03	ga_ls8c_ard_3-2-0_091073_2021-07-20_final
2021-08-18 11:29:50	ga_ls8c_ard_3-2-0_111083_2021-08-18_final
2021-09-21 09:40:43	ga_ls8c_ard_3-2-0_093088_2021-09-21_final
2021-10-02 09:19:27	ga_ls8c_ard_3-2-0_090081_2021-10-01_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-12-08 11:24:03	ga_ls8c_ard_3-2-1_111068_2021-12-08_final
2021-12-17 11:18:39	ga_ls8c_ard_3-2-1_110070_2021-12-17_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
2022-05-02 10:33:27	ga_ls8c_ard_3-2-1_102082_2022-05-02_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-07-01 10:54:38	ga_ls8c_ard_3-2-1_106072_2022-07-01_final
2022-08-11 10:53:06	ga_ls8c_ard_3-2-1_105083_2022-08-11_final
2022-08-22 10:34:12	ga_ls8c_ard_3-2-1_102082_2022-08-22_final
2022-09-03 10:56:06	ga_ls8c_ard_3-2-1_106075_2022-09-03_final
2022-09-20 10:04:36	ga_ls8c_ard_3-2-1_097085_2022-09-20_final
2022-10-21 09:22:28	ga_ls8c_ard_3-2-1_090088_2022-10-20_final
2022-12-26 09:07:56	ga_ls8c_ard_3-2-1_088083_2022-12-25_final
2023-02-15 09:33:55	ga_ls8c_ard_3-2-1_093071_2023-02-15_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-05-15 09:27:08	ga_ls8c_ard_3-2-1_092072_2023-05-14_final
2023-06-05 11:23:51	ga_ls8c_ard_3-2-1_111070_2023-06-05_final
2023-07-02 11:06:46	ga_ls8c_ard_3-2-1_108073_2023-07-02_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-09-04 09:33:50	ga_ls8c_ard_3-2-1_092087_2023-09-04_final
2023-10-23 11:53:23	ga_ls8c_ard_3-2-1_115080_2023-10-23_final
2023-12-03 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-12-03_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