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
2013-03-31 11:10:50	ga_ls8c_ard_3-0-0_108075_2013-03-31_final
2013-09-13 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-09-13_final
2014-04-25 11:24:20	ga_ls8c_ard_3-0-0_111070_2014-04-25_final
2014-08-22 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-08-22_final
2015-06-06 11:29:28	ga_ls8c_ard_3-0-0_112069_2015-06-06_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-12-24 11:23:26	ga_ls8c_ard_3-0-0_111067_2015-12-24_final
2016-01-25 11:23:22	ga_ls8c_ard_3-0-0_111067_2016-01-25_final
2016-03-13 11:23:08	ga_ls8c_ard_3-0-0_111067_2016-03-13_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2016-05-18 11:14:06	ga_ls8c_ard_3-0-0_109076_2016-05-18_final
2016-06-12 11:07:38	ga_ls8c_ard_3-0-0_108075_2016-06-12_final
2016-06-19 11:14:15	ga_ls8c_ard_3-0-0_109076_2016-06-19_final
2016-08-13 11:17:09	ga_ls8c_ard_3-0-0_110067_2016-08-13_final
2016-11-17 11:17:27	ga_ls8c_ard_3-0-0_110067_2016-11-17_final
2016-12-29 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-12-29_final
2017-04-01 11:23:40	ga_ls8c_ard_3-0-0_111069_2017-04-01_final
2017-04-24 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-04-24_final
2017-07-01 11:10:07	ga_ls8c_ard_3-0-0_108081_2017-07-01_final
2017-07-24 11:13:38	ga_ls8c_ard_3-0-0_109074_2017-07-24_final
2017-09-10 11:14:38	ga_ls8c_ard_3-0-0_109076_2017-09-10_final
2017-11-27 11:23:27	ga_ls8c_ard_3-0-0_111067_2017-11-27_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-01-23 11:18:17	ga_ls8c_ard_3-0-0_110070_2018-01-23_final
2018-02-04 11:41:42	ga_ls8c_ard_3-0-0_114067_2018-02-04_final
2018-04-22 11:12:58	ga_ls8c_ard_3-0-0_109074_2018-04-22_final
2018-08-05 11:09:17	ga_ls8c_ard_3-0-0_108080_2018-08-05_final
2018-08-05 11:10:28	ga_ls8c_ard_3-0-0_108083_2018-08-05_final
2018-11-11 10:52:43	ga_ls8c_ard_3-0-0_106068_2018-11-11_final
2019-03-15 11:16:42	ga_ls8c_ard_3-1-0_110067_2019-03-15_final
2019-06-24 11:42:19	ga_ls8c_ard_3-1-0_113084_2019-06-24_final
2020-04-04 11:07:37	ga_ls8c_ard_3-1-0_108075_2020-04-04_final
2020-06-23 11:07:16	ga_ls8c_ard_3-1-0_108074_2020-06-23_final
2020-07-02 12:37:15	ga_ls8c_ard_3-2-1_123067_2020-07-02_final
2020-11-12 09:40:06	ga_ls8c_ard_3-1-0_094071_2020-11-12_final
2020-12-02 10:53:56	ga_ls8c_ard_3-1-0_106070_2020-12-02_final
2020-12-05 11:23:39	ga_ls8c_ard_3-1-0_111067_2020-12-05_final
2021-01-05 10:43:05	ga_ls8c_ard_3-2-0_104074_2021-01-05_final
2021-01-11 10:04:45	ga_ls8c_ard_3-2-0_098071_2021-01-11_final
2021-01-18 10:13:40	ga_ls8c_ard_3-2-0_099078_2021-01-18_final
2021-02-19 10:11:35	ga_ls8c_ard_3-2-0_099073_2021-02-19_final
2021-03-16 11:41:40	ga_ls8c_ard_3-2-0_114067_2021-03-16_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-04-16 11:01:27	ga_ls8c_ard_3-2-0_107075_2021-04-16_final
2021-04-28 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-04-28_final
2021-04-30 11:13:41	ga_ls8c_ard_3-2-0_109075_2021-04-30_final
2021-05-01 11:58:08	ga_ls8c_ard_3-2-0_116078_2021-05-01_final
2021-05-09 09:33:46	ga_ls8c_ard_3-2-0_092088_2021-05-09_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-06-03 09:21:50	ga_ls8c_ard_3-2-0_091073_2021-06-02_final
2021-07-19 09:33:35	ga_ls8c_ard_3-2-0_093071_2021-07-19_final
2021-07-20 10:19:15	ga_ls8c_ard_3-2-0_100077_2021-07-20_final
2021-07-30 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-07-29_final
2021-09-15 10:09:25	ga_ls8c_ard_3-2-0_099067_2021-09-15_final
2021-10-16 09:33:28	ga_ls8c_ard_3-2-0_092085_2021-10-16_final
2021-11-01 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-11-01_final
2021-11-18 10:11:03	ga_ls8c_ard_3-2-0_099071_2021-11-18_final
2021-11-26 09:25:14	ga_ls8c_ard_3-2-0_091080_2021-11-25_final
2021-11-28 09:12:28	ga_ls8c_ard_3-2-0_089079_2021-11-27_final
2022-01-11 11:15:09	ga_ls8c_ard_3-2-1_109077_2022-01-11_final
2022-01-28 10:19:50	ga_ls8c_ard_3-2-1_100078_2022-01-28_final
2022-02-13 10:19:23	ga_ls8c_ard_3-2-1_100077_2022-02-13_final
2022-05-03 11:13:56	ga_ls8c_ard_3-2-1_109075_2022-05-03_final
2022-05-05 09:22:19	ga_ls8c_ard_3-2-1_091074_2022-05-04_final
2022-05-14 09:18:13	ga_ls8c_ard_3-2-1_090079_2022-05-13_final
2022-05-20 11:58:32	ga_ls8c_ard_3-2-1_116078_2022-05-20_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-22 09:22:42	ga_ls8c_ard_3-2-1_091074_2022-06-21_final
2022-06-24 09:14:20	ga_ls8c_ard_3-2-1_089084_2022-06-23_final
2022-07-06 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-07-06_final
2022-09-06 11:24:15	ga_ls8c_ard_3-2-1_111068_2022-09-06_final
2022-09-06 11:25:27	ga_ls8c_ard_3-2-1_111071_2022-09-06_final
2022-09-13 11:34:29	ga_ls8c_ard_3-2-1_112078_2022-09-13_final
2022-10-27 11:58:01	ga_ls8c_ard_3-2-1_116075_2022-10-27_final
2022-10-27 11:58:25	ga_ls8c_ard_3-2-1_116076_2022-10-27_final
2022-11-24 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-11-23_final
2022-12-01 10:46:46	ga_ls8c_ard_3-2-1_105067_2022-12-01_final
2022-12-15 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-12-14_final
2022-12-30 11:59:00	ga_ls8c_ard_3-2-1_116078_2022-12-30_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-02-16 11:58:50	ga_ls8c_ard_3-2-1_116078_2023-02-16_final
2023-02-26 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-02-26_final
2023-03-08 09:58:09	ga_ls8c_ard_3-2-1_096086_2023-03-08_final
2023-03-11 10:27:27	ga_ls8c_ard_3-2-1_101082_2023-03-11_final
2023-04-14 10:09:29	ga_ls8c_ard_3-2-1_099069_2023-04-14_final
2023-04-21 10:18:49	ga_ls8c_ard_3-2-1_100077_2023-04-21_final
2023-05-02 09:56:14	ga_ls8c_ard_3-2-1_097067_2023-05-02_final
2023-05-07 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-05-07_final
2023-05-07 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-05-07_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-17 09:20:45	ga_ls8c_ard_3-2-1_090087_2023-05-16_final
2023-05-27 11:31:11	ga_ls8c_ard_3-2-1_112073_2023-05-27_final
2023-07-17 10:27:11	ga_ls8c_ard_3-2-1_101082_2023-07-17_final
2023-09-07 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-09-07_final
2023-09-24 10:45:18	ga_ls8c_ard_3-2-1_104080_2023-09-24_final
2023-10-05 10:27:35	ga_ls8c_ard_3-2-1_101082_2023-10-05_final
2023-11-06 10:27:40	ga_ls8c_ard_3-2-1_101082_2023-11-06_final
2023-11-21 09:41:16	ga_ls8c_ard_3-2-1_094074_2023-11-21_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-30 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-12-30_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