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
2013-10-04 11:47:43	ga_ls8c_ard_3-0-0_114077_2013-10-04_final
2015-02-14 11:31:16	ga_ls8c_ard_3-0-0_112072_2015-02-14_final
2015-04-30 11:16:34	ga_ls8c_ard_3-0-0_109083_2015-04-30_final
2015-06-11 11:50:03	ga_ls8c_ard_3-0-0_115074_2015-06-11_final
2015-08-25 11:31:15	ga_ls8c_ard_3-0-0_112072_2015-08-25_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-04-07 11:16:45	ga_ls8c_ard_3-0-0_110067_2016-04-07_final
2016-04-14 11:29:16	ga_ls8c_ard_3-0-0_111083_2016-04-14_final
2016-05-05 11:47:02	ga_ls8c_ard_3-0-0_114081_2016-05-05_final
2016-09-21 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-09-21_final
2017-11-18 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-11-18_final
2017-12-06 11:18:27	ga_ls8c_ard_3-0-0_110070_2017-12-06_final
2017-12-22 11:18:31	ga_ls8c_ard_3-0-0_110070_2017-12-22_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-12-07 11:31:22	ga_ls8c_ard_3-0-0_112072_2018-12-07_final
2019-02-18 11:23:25	ga_ls8c_ard_3-0-0_111068_2019-02-18_final
2019-06-19 11:17:45	ga_ls8c_ard_3-1-0_110069_2019-06-19_final
2019-06-19 11:20:09	ga_ls8c_ard_3-1-0_110075_2019-06-19_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-11-17 11:26:01	ga_ls8c_ard_3-1-0_111073_2019-11-17_final
2019-12-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2019-12-16_final
2020-01-31 11:08:02	ga_ls8c_ard_3-1-0_108075_2020-01-31_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-07-07 11:19:44	ga_ls8c_ard_3-1-0_110074_2020-07-07_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-12-09 11:00:31	ga_ls8c_ard_3-1-0_107071_2020-12-09_final
2020-12-11 09:10:52	ga_ls8c_ard_3-1-0_089075_2020-12-10_final
2020-12-18 09:21:26	ga_ls8c_ard_3-2-0_090086_2020-12-17_final
2020-12-18 10:54:43	ga_ls8c_ard_3-2-0_106072_2020-12-18_final
2021-01-01 09:31:44	ga_ls8c_ard_3-2-0_092081_2021-01-01_final
2021-01-03 10:54:39	ga_ls8c_ard_3-2-0_106072_2021-01-03_final
2021-01-11 10:07:09	ga_ls8c_ard_3-2-0_098077_2021-01-11_final
2021-01-23 10:29:01	ga_ls8c_ard_3-2-0_102070_2021-01-23_final
2021-01-25 10:19:02	ga_ls8c_ard_3-2-0_100076_2021-01-25_final
2021-02-11 09:22:35	ga_ls8c_ard_3-2-0_091074_2021-02-10_final
2021-02-26 10:18:55	ga_ls8c_ard_3-2-0_100076_2021-02-26_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-04-12 11:28:11	ga_ls8c_ard_3-2-0_111080_2021-04-12_final
2021-04-17 10:07:01	ga_ls8c_ard_3-2-0_098078_2021-04-17_final
2021-05-16 09:40:01	ga_ls8c_ard_3-2-0_093088_2021-05-16_final
2021-05-19 10:02:58	ga_ls8c_ard_3-2-0_098068_2021-05-19_final
2021-06-18 11:57:14	ga_ls8c_ard_3-2-0_116075_2021-06-18_final
2021-06-18 11:57:38	ga_ls8c_ard_3-2-0_116076_2021-06-18_final
2021-06-20 10:04:00	ga_ls8c_ard_3-2-0_098070_2021-06-20_final
2021-06-24 09:46:05	ga_ls8c_ard_3-2-0_094087_2021-06-24_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-06-27 10:10:37	ga_ls8c_ard_3-2-0_099071_2021-06-27_final
2021-07-29 11:51:14	ga_ls8c_ard_3-2-0_115075_2021-07-29_final
2021-07-31 11:37:42	ga_ls8c_ard_3-2-0_113072_2021-07-31_final
2021-08-05 11:57:28	ga_ls8c_ard_3-2-0_116075_2021-08-05_final
2021-08-15 10:55:44	ga_ls8c_ard_3-2-0_106075_2021-08-15_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-12-21 09:17:25	ga_ls8c_ard_3-2-1_090076_2021-12-20_final
2021-12-28 09:21:57	ga_ls8c_ard_3-2-1_091072_2021-12-27_final
2022-01-25 09:50:33	ga_ls8c_ard_3-2-1_095082_2022-01-25_final
2022-03-11 10:52:46	ga_ls8c_ard_3-2-1_106068_2022-03-11_final
2022-04-20 10:06:46	ga_ls8c_ard_3-2-1_098077_2022-04-20_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-05-22 10:03:41	ga_ls8c_ard_3-2-1_098069_2022-05-22_final
2022-05-22 11:47:22	ga_ls8c_ard_3-2-1_114081_2022-05-22_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-07-08 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-07-07_final
2022-07-25 10:07:41	ga_ls8c_ard_3-2-1_098078_2022-07-25_final
2022-08-21 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-08-21_final
2022-08-28 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-08-28_final
2022-09-20 09:57:49	ga_ls8c_ard_3-2-1_097068_2022-09-20_final
2022-10-13 10:04:39	ga_ls8c_ard_3-2-1_098070_2022-10-13_final
2022-10-19 09:30:01	ga_ls8c_ard_3-2-1_092076_2022-10-19_final
2022-11-08 10:45:03	ga_ls8c_ard_3-2-1_104078_2022-11-08_final
2022-11-15 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-11-15_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-11 11:24:37	ga_ls8c_ard_3-2-1_111069_2022-12-11_final
2022-12-22 09:33:50	ga_ls8c_ard_3-2-1_092086_2022-12-22_final
2023-01-02 09:12:32	ga_ls8c_ard_3-2-1_089079_2023-01-01_final
2023-01-03 09:53:48	ga_ls8c_ard_3-2-1_096074_2023-01-03_final
2023-01-12 11:26:03	ga_ls8c_ard_3-2-1_111073_2023-01-12_final
2023-02-19 10:47:12	ga_ls8c_ard_3-2-1_105069_2023-02-19_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-05-22 11:13:49	ga_ls8c_ard_3-2-1_109076_2023-05-22_final
2023-06-01 10:12:02	ga_ls8c_ard_3-2-1_099076_2023-06-01_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-06-11 10:48:26	ga_ls8c_ard_3-2-1_105074_2023-06-11_final
2023-06-21 09:45:52	ga_ls8c_ard_3-2-1_095072_2023-06-21_final
2023-08-17 09:44:09	ga_ls8c_ard_3-2-1_094082_2023-08-17_final
2023-08-20 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-08-20_final
2023-09-05 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-09-05_final
2023-10-12 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-10-12_final
2023-10-21 10:23:14	ga_ls8c_ard_3-2-1_101071_2023-10-21_final
2023-11-02 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-02_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2024-02-07 09:53:05	ga_ls8c_ard_3-2-1_096073_2024-02-07_final
2024-02-20 09:21:45	ga_ls8c_ard_3-2-1_091072_2024-02-19_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