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
2013-11-16 09:54:05	ga_ls8c_ard_3-0-0_095087_2013-11-16_final
2014-05-04 11:17:59	ga_ls8c_ard_3-0-0_110070_2014-05-04_final
2014-05-13 11:17:17	ga_ls8c_ard_3-0-0_109084_2014-05-13_final
2014-08-11 11:52:03	ga_ls8c_ard_3-0-0_115077_2014-08-11_final
2014-09-02 11:14:14	ga_ls8c_ard_3-0-0_109075_2014-09-02_final
2014-10-25 11:30:53	ga_ls8c_ard_3-0-0_112070_2014-10-25_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2015-06-24 11:19:38	ga_ls8c_ard_3-0-0_110075_2015-06-24_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2015-10-03 11:35:40	ga_ls8c_ard_3-0-0_113067_2015-10-03_final
2016-06-26 09:40:01	ga_ls8c_ard_3-0-0_094072_2016-06-26_final
2016-07-28 11:18:19	ga_ls8c_ard_3-0-0_110070_2016-07-28_final
2016-09-17 11:51:26	ga_ls8c_ard_3-0-0_115075_2016-09-17_final
2016-09-21 09:46:38	ga_ls8c_ard_3-0-0_095072_2016-09-21_final
2017-01-20 09:43:33	ga_ls8c_ard_3-0-0_094080_2017-01-20_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-03-02 11:11:35	ga_ls8c_ard_3-0-0_109069_2017-03-02_final
2017-08-07 09:52:00	ga_ls8c_ard_3-0-0_095086_2017-08-07_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-11-29 11:14:40	ga_ls8c_ard_3-0-0_109076_2017-11-29_final
2017-12-22 11:17:19	ga_ls8c_ard_3-0-0_110067_2017-12-22_final
2018-02-06 11:29:20	ga_ls8c_ard_3-0-0_112067_2018-02-06_final
2018-05-02 11:51:58	ga_ls8c_ard_3-0-0_115079_2018-05-02_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-08-22 11:51:53	ga_ls8c_ard_3-0-0_115078_2018-08-22_final
2018-08-28 11:14:03	ga_ls8c_ard_3-0-0_109076_2018-08-28_final
2018-09-29 11:13:51	ga_ls8c_ard_3-1-0_109075_2018-09-29_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2019-02-27 09:39:31	ga_ls8c_ard_3-0-0_094071_2019-02-27_final
2019-07-05 09:39:44	ga_ls8c_ard_3-1-0_094071_2019-07-05_final
2019-07-05 09:40:08	ga_ls8c_ard_3-1-0_094072_2019-07-05_final
2019-10-27 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-27_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-06-30 11:14:18	ga_ls8c_ard_3-1-0_109076_2020-06-30_final
2020-10-09 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-09_final
2021-03-20 11:16:56	ga_ls8c_ard_3-2-0_110067_2021-03-20_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-04-14 09:34:08	ga_ls8c_ard_3-2-0_093073_2021-04-14_final
2021-04-19 11:30:20	ga_ls8c_ard_3-2-0_112070_2021-04-19_final
2021-05-20 09:10:57	ga_ls8c_ard_3-2-0_089077_2021-05-19_final
2021-05-30 09:44:08	ga_ls8c_ard_3-2-0_095067_2021-05-30_final
2021-06-04 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-06-04_final
2021-08-29 09:34:27	ga_ls8c_ard_3-2-0_092088_2021-08-29_final
2021-08-30 11:52:37	ga_ls8c_ard_3-2-0_115078_2021-08-30_final
2021-09-13 10:26:09	ga_ls8c_ard_3-2-0_101078_2021-09-13_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2021-11-26 09:20:26	ga_ls8c_ard_3-2-0_091068_2021-11-25_final
2021-12-12 09:27:37	ga_ls8c_ard_3-2-1_091086_2021-12-11_final
2021-12-21 10:56:18	ga_ls8c_ard_3-2-1_106076_2021-12-21_final
2022-01-06 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-01-06_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-02-19 11:20:21	ga_ls8c_ard_3-2-1_110075_2022-02-19_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-03-26 11:51:24	ga_ls8c_ard_3-2-1_115076_2022-03-26_final
2022-04-11 10:14:08	ga_ls8c_ard_3-2-1_099080_2022-04-11_final
2022-05-05 11:00:00	ga_ls8c_ard_3-2-1_107071_2022-05-05_final
2022-05-19 09:34:23	ga_ls8c_ard_3-2-1_093073_2022-05-19_final
2022-06-22 09:27:53	ga_ls8c_ard_3-2-1_091087_2022-06-21_final
2022-06-22 11:04:23	ga_ls8c_ard_3-2-1_107081_2022-06-22_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-13 09:46:26	ga_ls8c_ard_3-2-1_094087_2022-07-13_final
2022-08-03 09:58:48	ga_ls8c_ard_3-2-1_097071_2022-08-03_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-04 10:11:20	ga_ls8c_ard_3-2-1_099071_2022-10-04_final
2022-10-04 11:53:01	ga_ls8c_ard_3-2-1_115078_2022-10-04_final
2022-10-15 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-10-15_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-03 10:28:31	ga_ls8c_ard_3-2-1_101083_2022-11-03_final
2022-11-21 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-11-21_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-10 09:57:09	ga_ls8c_ard_3-2-1_097067_2023-01-10_final
2023-01-13 10:29:37	ga_ls8c_ard_3-2-1_102071_2023-01-13_final
2023-01-18 10:47:17	ga_ls8c_ard_3-2-1_105069_2023-01-18_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-11 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-11_final
2023-05-17 10:51:39	ga_ls8c_ard_3-2-1_106067_2023-05-17_final
2023-05-22 11:13:25	ga_ls8c_ard_3-2-1_109075_2023-05-22_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-08-08 11:24:45	ga_ls8c_ard_3-2-1_111071_2023-08-08_final
2023-09-11 11:13:45	ga_ls8c_ard_3-2-1_109074_2023-09-11_final
2023-09-18 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-09-18_final
2023-10-02 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-10-02_final
2023-11-24 10:13:22	ga_ls8c_ard_3-2-1_099077_2023-11-24_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2023-12-03 10:07:30	ga_ls8c_ard_3-2-1_098078_2023-12-03_final
2023-12-09 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-12-08_final
2023-12-12 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-12-12_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2024-01-05 09:11:47	ga_ls8c_ard_3-2-1_089078_2024-01-04_final
2024-02-14 09:58:03	ga_ls8c_ard_3-2-1_097070_2024-02-14_final
2024-02-25 09:40:15	ga_ls8c_ard_3-2-1_094072_2024-02-25_final
2024-02-29 10:53:35	ga_ls8c_ard_3-2-1_106070_2024-02-29_final
2024-03-11 10:39:17	ga_ls8c_ard_3-2-1_103081_2024-03-11_final
2024-03-15 11:52:14	ga_ls8c_ard_3-2-1_115078_2024-03-15_final
2024-03-18 10:42:13	ga_ls8c_ard_3-2-1_104073_2024-03-18_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