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
2013-05-29 11:47:53	ga_ls8c_ard_3-0-0_114077_2013-05-29_final
2014-04-02 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-04-02_final
2014-07-03 11:45:37	ga_ls8c_ard_3-0-0_114077_2014-07-03_final
2014-09-16 09:51:44	ga_ls8c_ard_3-0-0_095085_2014-09-16_final
2014-12-04 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-12-03_final
2014-12-05 09:46:34	ga_ls8c_ard_3-0-0_095072_2014-12-05_final
2015-02-23 09:45:25	ga_ls8c_ard_3-0-0_095070_2015-02-23_final
2015-03-27 09:49:53	ga_ls8c_ard_3-0-0_095082_2015-03-27_final
2015-04-08 11:50:59	ga_ls8c_ard_3-0-0_115076_2015-04-08_final
2015-08-16 11:42:09	ga_ls8c_ard_3-0-0_113084_2015-08-16_final
2016-01-28 11:58:39	ga_ls8c_ard_3-0-0_116078_2016-01-28_final
2016-07-22 11:58:34	ga_ls8c_ard_3-0-0_116078_2016-07-22_final
2017-01-07 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-01-07_final
2017-01-20 09:40:45	ga_ls8c_ard_3-0-0_094073_2017-01-20_final
2017-12-29 09:46:34	ga_ls8c_ard_3-0-0_095072_2017-12-29_final
2018-01-12 11:42:07	ga_ls8c_ard_3-0-0_113083_2018-01-12_final
2018-03-19 09:49:56	ga_ls8c_ard_3-0-0_095082_2018-03-19_final
2018-04-19 09:06:00	ga_ls8c_ard_3-1-0_088081_2018-04-18_final
2018-05-18 11:50:59	ga_ls8c_ard_3-0-0_115077_2018-05-18_final
2018-07-25 09:50:25	ga_ls8c_ard_3-0-0_095084_2018-07-25_final
2018-11-30 09:46:19	ga_ls8c_ard_3-0-0_095072_2018-11-30_final
2019-02-05 11:58:21	ga_ls8c_ard_3-0-0_116078_2019-02-05_final
2019-06-09 09:06:07	ga_ls8c_ard_3-0-0_088080_2019-06-08_final
2019-08-22 09:41:11	ga_ls8c_ard_3-1-0_094074_2019-08-22_final
2019-10-21 11:42:14	ga_ls8c_ard_3-1-0_114067_2019-10-21_final
2020-03-06 11:41:34	ga_ls8c_ard_3-1-0_113082_2020-03-06_final
2020-10-11 09:40:57	ga_ls8c_ard_3-1-0_094073_2020-10-11_final
2020-10-17 09:06:40	ga_ls8c_ard_3-1-0_088080_2020-10-16_final
2020-10-23 11:47:45	ga_ls8c_ard_3-1-0_114081_2020-10-23_final
2021-03-04 09:40:35	ga_ls8c_ard_3-2-0_094073_2021-03-04_final
2021-03-06 09:29:00	ga_ls8c_ard_3-2-0_092075_2021-03-05_final
2021-03-09 09:57:05	ga_ls8c_ard_3-2-0_097068_2021-03-09_final
2021-03-11 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-03-11_final
2021-04-10 09:59:17	ga_ls8c_ard_3-2-0_097074_2021-04-10_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-04-26 11:38:03	ga_ls8c_ard_3-2-0_113074_2021-04-26_final
2021-05-20 09:13:21	ga_ls8c_ard_3-2-0_089083_2021-05-19_final
2021-06-01 11:16:40	ga_ls8c_ard_3-2-0_109082_2021-06-01_final
2021-06-15 11:28:43	ga_ls8c_ard_3-2-0_111081_2021-06-15_final
2021-06-20 10:09:59	ga_ls8c_ard_3-2-0_098085_2021-06-20_final
2021-07-04 10:21:12	ga_ls8c_ard_3-2-0_100082_2021-07-04_final
2021-07-08 09:57:17	ga_ls8c_ard_3-2-0_096084_2021-07-08_final
2021-08-11 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-08-11_final
2021-08-22 09:23:03	ga_ls8c_ard_3-2-0_091075_2021-08-21_final
2021-08-22 09:26:39	ga_ls8c_ard_3-2-0_091084_2021-08-21_final
2021-08-27 11:19:42	ga_ls8c_ard_3-2-0_110073_2021-08-27_final
2021-10-11 10:49:01	ga_ls8c_ard_3-2-0_105073_2021-10-11_final
2021-11-22 11:30:01	ga_ls8c_ard_3-2-0_111083_2021-11-22_final
2021-11-24 09:34:00	ga_ls8c_ard_3-2-0_093071_2021-11-24_final
2021-11-29 09:52:09	ga_ls8c_ard_3-2-0_096070_2021-11-29_final
2021-12-22 11:38:46	ga_ls8c_ard_3-2-1_113074_2021-12-22_final
2021-12-26 11:12:25	ga_ls8c_ard_3-2-1_109070_2021-12-26_final
2022-01-05 10:16:09	ga_ls8c_ard_3-2-1_099084_2022-01-05_final
2022-01-06 09:18:56	ga_ls8c_ard_3-2-1_090080_2022-01-05_final
2022-01-18 09:42:26	ga_ls8c_ard_3-2-1_094077_2022-01-18_final
2022-02-28 09:38:27	ga_ls8c_ard_3-2-1_093083_2022-02-28_final
2022-03-31 10:29:48	ga_ls8c_ard_3-2-1_102073_2022-03-31_final
2022-04-21 09:14:44	ga_ls8c_ard_3-2-1_089086_2022-04-20_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-19 09:36:47	ga_ls8c_ard_3-2-1_093079_2022-05-19_final
2022-06-03 10:32:29	ga_ls8c_ard_3-2-1_102079_2022-06-03_final
2022-06-21 10:17:31	ga_ls8c_ard_3-2-1_100072_2022-06-21_final
2022-07-05 10:31:30	ga_ls8c_ard_3-2-1_102076_2022-07-05_final
2022-08-23 09:40:34	ga_ls8c_ard_3-2-1_093087_2022-08-23_final
2022-08-27 09:12:39	ga_ls8c_ard_3-2-1_089079_2022-08-26_final
2022-09-12 10:47:37	ga_ls8c_ard_3-2-1_105069_2022-09-12_final
2022-09-17 09:29:42	ga_ls8c_ard_3-2-1_092075_2022-09-16_final
2022-10-25 10:31:29	ga_ls8c_ard_3-2-1_102075_2022-10-25_final
2022-12-04 11:19:16	ga_ls8c_ard_3-2-1_110071_2022-12-04_final
2022-12-08 10:54:32	ga_ls8c_ard_3-2-1_106071_2022-12-08_final
2022-12-10 10:43:21	ga_ls8c_ard_3-2-1_104074_2022-12-10_final
2022-12-12 10:28:35	ga_ls8c_ard_3-2-1_102068_2022-12-12_final
2023-01-24 10:13:04	ga_ls8c_ard_3-2-1_099076_2023-01-24_final
2023-03-05 09:26:06	ga_ls8c_ard_3-2-1_091083_2023-03-04_final
2023-04-12 10:27:26	ga_ls8c_ard_3-2-1_101083_2023-04-12_final
2023-05-16 11:50:28	ga_ls8c_ard_3-2-1_115075_2023-05-16_final
2023-06-14 11:18:34	ga_ls8c_ard_3-2-1_110072_2023-06-14_final
2023-06-27 09:12:52	ga_ls8c_ard_3-2-1_089082_2023-06-26_final
2023-07-24 10:27:49	ga_ls8c_ard_3-2-1_102068_2023-07-24_final
2023-08-06 10:03:25	ga_ls8c_ard_3-2-1_097084_2023-08-06_final
2023-08-20 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-08-20_final
2023-08-21 10:55:10	ga_ls8c_ard_3-2-1_106074_2023-08-21_final
2023-08-23 10:40:25	ga_ls8c_ard_3-2-1_104068_2023-08-23_final
2023-08-28 11:01:46	ga_ls8c_ard_3-2-1_107075_2023-08-28_final
2023-09-18 11:18:23	ga_ls8c_ard_3-2-1_110070_2023-09-18_final
2023-09-19 10:24:45	ga_ls8c_ard_3-2-1_101075_2023-09-19_final
2023-09-25 11:26:59	ga_ls8c_ard_3-2-1_111076_2023-09-25_final
2023-10-26 10:43:01	ga_ls8c_ard_3-2-1_104074_2023-10-26_final
2023-12-09 11:06:28	ga_ls8c_ard_3-2-1_108071_2023-12-09_final
2024-01-02 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-02_final
2024-01-04 11:44:42	ga_ls8c_ard_3-2-1_114074_2024-01-04_final
2024-01-17 11:17:26	ga_ls8c_ard_3-2-1_109083_2024-01-17_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-02-01 10:29:20	ga_ls8c_ard_3-2-1_102071_2024-02-01_final
2024-02-02 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-02_final
2024-02-20 09:23:44	ga_ls8c_ard_3-2-1_091077_2024-02-19_final
2024-02-20 11:02:14	ga_ls8c_ard_3-2-1_107076_2024-02-20_final
2024-02-21 10:10:12	ga_ls8c_ard_3-2-1_098085_2024-02-21_final
2024-02-27 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-02-26_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_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