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
2013-06-09 09:49:13	ga_ls8c_ard_3-0-0_095074_2013-06-09_final
2013-10-20 11:49:14	ga_ls8c_ard_3-0-0_114081_2013-10-20_final
2014-06-26 11:37:21	ga_ls8c_ard_3-0-0_113072_2014-06-26_final
2015-09-19 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-09-19_final
2015-09-22 11:57:22	ga_ls8c_ard_3-0-0_116075_2015-09-22_final
2015-11-15 09:40:20	ga_ls8c_ard_3-0-0_094072_2015-11-15_final
2015-12-04 11:52:56	ga_ls8c_ard_3-0-0_115079_2015-12-04_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-06-06 11:45:54	ga_ls8c_ard_3-0-0_114078_2016-06-06_final
2016-06-13 11:52:30	ga_ls8c_ard_3-0-0_115079_2016-06-13_final
2016-10-05 11:42:42	ga_ls8c_ard_3-0-0_113084_2016-10-05_final
2016-10-12 11:47:44	ga_ls8c_ard_3-0-0_114081_2016-10-12_final
2017-05-12 09:40:25	ga_ls8c_ard_3-0-0_094074_2017-05-12_final
2017-06-07 11:57:02	ga_ls8c_ard_3-0-0_116075_2017-06-07_final
2017-06-07 11:57:26	ga_ls8c_ard_3-0-0_116076_2017-06-07_final
2017-07-21 09:07:24	ga_ls8c_ard_3-0-0_088083_2017-07-20_final
2017-08-23 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-08-23_final
2017-10-03 09:40:28	ga_ls8c_ard_3-0-0_094072_2017-10-03_final
2017-11-11 09:46:40	ga_ls8c_ard_3-0-0_095072_2017-11-11_final
2018-01-14 09:46:04	ga_ls8c_ard_3-0-0_095071_2018-01-14_final
2018-04-07 11:57:11	ga_ls8c_ard_3-0-0_116076_2018-04-07_final
2018-11-23 09:40:33	ga_ls8c_ard_3-0-0_094073_2018-11-23_final
2019-04-06 09:05:51	ga_ls8c_ard_3-1-0_088080_2019-04-05_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-09-17 11:58:04	ga_ls8c_ard_3-1-0_116076_2019-09-17_final
2019-10-19 11:57:47	ga_ls8c_ard_3-1-0_116075_2019-10-19_final
2020-02-24 11:57:47	ga_ls8c_ard_3-1-0_116076_2020-02-24_final
2020-07-13 09:06:12	ga_ls8c_ard_3-1-0_088080_2020-07-12_final
2020-08-18 11:57:25	ga_ls8c_ard_3-1-0_116075_2020-08-18_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2021-03-13 11:11:36	ga_ls8c_ard_3-2-0_109069_2021-03-13_final
2021-04-02 10:48:46	ga_ls8c_ard_3-2-0_105074_2021-04-02_final
2021-04-02 10:49:34	ga_ls8c_ard_3-2-0_105076_2021-04-02_final
2021-04-10 11:40:58	ga_ls8c_ard_3-2-0_113081_2021-04-10_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-04-25 10:55:35	ga_ls8c_ard_3-2-0_106076_2021-04-25_final
2021-04-30 11:11:17	ga_ls8c_ard_3-2-0_109069_2021-04-30_final
2021-05-02 09:22:49	ga_ls8c_ard_3-2-0_091076_2021-05-01_final
2021-05-11 10:55:31	ga_ls8c_ard_3-2-0_106076_2021-05-11_final
2021-05-16 11:11:19	ga_ls8c_ard_3-2-0_109069_2021-05-16_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-07-01 09:47:30	ga_ls8c_ard_3-2-0_095075_2021-07-01_final
2021-07-18 10:33:35	ga_ls8c_ard_3-2-0_102082_2021-07-18_final
2021-08-24 09:13:30	ga_ls8c_ard_3-2-0_089082_2021-08-23_final
2021-08-31 10:56:12	ga_ls8c_ard_3-2-0_106076_2021-08-31_final
2021-10-06 10:30:51	ga_ls8c_ard_3-2-0_102074_2021-10-06_final
2021-10-10 10:09:44	ga_ls8c_ard_3-2-0_098083_2021-10-10_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-11-03 09:23:06	ga_ls8c_ard_3-2-0_090090_2021-11-02_final
2021-11-07 10:33:16	ga_ls8c_ard_3-2-0_102080_2021-11-07_final
2021-11-17 09:29:24	ga_ls8c_ard_3-2-0_092075_2021-11-16_final
2021-12-05 10:55:57	ga_ls8c_ard_3-2-1_106075_2021-12-05_final
2021-12-28 09:23:57	ga_ls8c_ard_3-2-1_091077_2021-12-27_final
2021-12-29 11:47:41	ga_ls8c_ard_3-2-1_114081_2021-12-29_final
2022-01-20 11:08:08	ga_ls8c_ard_3-2-1_108075_2022-01-20_final
2022-02-07 10:55:42	ga_ls8c_ard_3-2-1_106075_2022-02-07_final
2022-02-17 11:35:55	ga_ls8c_ard_3-2-1_112083_2022-02-17_final
2022-03-04 09:14:31	ga_ls8c_ard_3-2-1_089085_2022-03-03_final
2022-04-18 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-04-18_final
2022-04-19 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-04-18_final
2022-05-22 11:44:58	ga_ls8c_ard_3-2-1_114075_2022-05-22_final
2022-05-23 10:51:44	ga_ls8c_ard_3-2-1_105081_2022-05-23_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-07-07 10:17:09	ga_ls8c_ard_3-2-1_100071_2022-07-07_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-09-03 10:56:30	ga_ls8c_ard_3-2-1_106076_2022-09-03_final
2022-09-19 10:56:14	ga_ls8c_ard_3-2-1_106075_2022-09-19_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-10-06 09:58:10	ga_ls8c_ard_3-2-1_097069_2022-10-06_final
2022-10-09 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-10-09_final
2022-10-14 10:50:18	ga_ls8c_ard_3-2-1_105076_2022-10-14_final
2022-10-15 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-10-15_final
2022-11-04 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-11-03_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2023-01-07 09:31:04	ga_ls8c_ard_3-2-1_092079_2023-01-07_final
2023-01-08 10:15:07	ga_ls8c_ard_3-2-1_099081_2023-01-08_final
2023-01-21 09:40:57	ga_ls8c_ard_3-2-1_094073_2023-01-21_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-01-30 09:34:02	ga_ls8c_ard_3-2-1_093071_2023-01-30_final
2023-03-08 11:31:51	ga_ls8c_ard_3-2-1_112073_2023-03-08_final
2023-05-05 10:32:41	ga_ls8c_ard_3-2-1_102081_2023-05-05_final
2023-05-20 09:51:16	ga_ls8c_ard_3-2-1_095086_2023-05-20_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-06-06 10:32:38	ga_ls8c_ard_3-2-1_102081_2023-06-06_final
2023-06-11 10:48:26	ga_ls8c_ard_3-2-1_105074_2023-06-11_final
2023-09-02 09:40:37	ga_ls8c_ard_3-2-1_094073_2023-09-02_final
2023-09-15 10:49:04	ga_ls8c_ard_3-2-1_105074_2023-09-15_final
2023-09-22 10:55:15	ga_ls8c_ard_3-2-1_106074_2023-09-22_final
2023-10-25 09:57:22	ga_ls8c_ard_3-2-1_097068_2023-10-25_final
2023-10-28 10:33:28	ga_ls8c_ard_3-2-1_102081_2023-10-28_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-25 10:55:50	ga_ls8c_ard_3-2-1_106075_2023-11-25_final
2023-12-02 09:28:39	ga_ls8c_ard_3-2-1_091089_2023-12-01_final
2023-12-27 09:23:17	ga_ls8c_ard_3-2-1_090091_2023-12-26_final
2023-12-28 11:42:13	ga_ls8c_ard_3-2-1_113083_2023-12-28_final
2024-01-08 09:41:07	ga_ls8c_ard_3-2-1_094074_2024-01-08_final
2024-01-22 11:35:56	ga_ls8c_ard_3-2-1_112083_2024-01-22_final
2024-02-05 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-02-05_final
2024-02-21 10:06:36	ga_ls8c_ard_3-2-1_098076_2024-02-21_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