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
2013-05-20 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-05-20_final
2013-08-12 09:54:24	ga_ls8c_ard_3-0-0_095087_2013-08-12_final
2013-10-20 11:48:50	ga_ls8c_ard_3-0-0_114080_2013-10-20_final
2014-01-03 09:52:10	ga_ls8c_ard_3-0-0_095083_2014-01-03_final
2014-01-18 09:08:17	ga_ls8c_ard_3-0-0_088082_2014-01-17_final
2014-05-09 11:37:16	ga_ls8c_ard_3-0-0_113072_2014-05-09_final
2014-07-14 11:25:57	ga_ls8c_ard_3-0-0_111074_2014-07-14_final
2014-09-05 11:45:33	ga_ls8c_ard_3-0-0_114076_2014-09-05_final
2014-10-02 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-10-02_final
2014-11-02 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-11-01_final
2014-11-03 11:25:53	ga_ls8c_ard_3-0-0_111073_2014-11-03_final
2014-11-19 09:46:11	ga_ls8c_ard_3-0-0_095071_2014-11-19_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-06-24 09:37:33	ga_ls8c_ard_3-0-0_094067_2015-06-24_final
2015-09-26 11:30:16	ga_ls8c_ard_3-0-0_112069_2015-09-26_final
2015-11-27 11:44:47	ga_ls8c_ard_3-0-0_114074_2015-11-27_final
2016-04-10 11:50:49	ga_ls8c_ard_3-0-0_115075_2016-04-10_final
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-06-17 11:28:59	ga_ls8c_ard_3-0-0_111082_2016-06-17_final
2016-09-01 11:52:11	ga_ls8c_ard_3-0-0_115077_2016-09-01_final
2017-01-07 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-01-07_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-02-05 09:41:02	ga_ls8c_ard_3-0-0_094074_2017-02-05_final
2017-02-15 11:58:31	ga_ls8c_ard_3-0-0_116078_2017-02-15_final
2017-07-22 11:28:46	ga_ls8c_ard_3-0-0_111081_2017-07-22_final
2017-08-06 09:06:44	ga_ls8c_ard_3-1-0_088081_2017-08-05_final
2018-01-14 09:44:28	ga_ls8c_ard_3-0-0_095067_2018-01-14_final
2018-01-26 11:53:09	ga_ls8c_ard_3-0-0_115080_2018-01-26_final
2018-04-16 11:51:42	ga_ls8c_ard_3-0-0_115078_2018-04-16_final
2018-06-07 11:28:28	ga_ls8c_ard_3-0-0_111083_2018-06-07_final
2018-08-10 11:29:04	ga_ls8c_ard_3-0-0_111083_2018-08-10_final
2018-08-19 09:45:16	ga_ls8c_ard_3-0-0_094086_2018-08-19_final
2018-09-07 11:51:59	ga_ls8c_ard_3-0-0_115078_2018-09-07_final
2018-09-11 09:46:00	ga_ls8c_ard_3-0-0_095072_2018-09-11_final
2019-01-04 11:58:27	ga_ls8c_ard_3-0-0_116078_2019-01-04_final
2019-03-02 11:51:41	ga_ls8c_ard_3-0-0_115077_2019-03-02_final
2019-05-08 09:05:50	ga_ls8c_ard_3-0-0_088080_2019-05-07_final
2019-05-25 09:50:28	ga_ls8c_ard_3-0-0_095083_2019-05-25_final
2019-08-04 11:32:20	ga_ls8c_ard_3-1-0_112074_2019-08-04_final
2019-08-12 09:06:51	ga_ls8c_ard_3-1-0_088081_2019-08-11_final
2020-01-04 09:50:36	ga_ls8c_ard_3-1-0_095082_2020-01-04_final
2020-03-24 09:45:23	ga_ls8c_ard_3-1-0_095070_2020-03-24_final
2020-05-11 09:43:48	ga_ls8c_ard_3-1-0_095067_2020-05-11_final
2020-09-28 11:53:06	ga_ls8c_ard_3-1-0_115079_2020-09-28_final
2020-09-30 11:35:58	ga_ls8c_ard_3-1-0_113067_2020-09-30_final
2020-10-21 11:58:07	ga_ls8c_ard_3-1-0_116076_2020-10-21_final
2020-11-10 11:34:56	ga_ls8c_ard_3-1-0_112080_2020-11-10_final
2021-03-24 10:54:35	ga_ls8c_ard_3-2-0_106073_2021-03-24_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-04-08 11:52:08	ga_ls8c_ard_3-2-0_115078_2021-04-08_final
2021-04-08 11:52:32	ga_ls8c_ard_3-2-0_115079_2021-04-08_final
2021-04-16 09:22:10	ga_ls8c_ard_3-2-0_091074_2021-04-15_final
2021-04-23 11:07:10	ga_ls8c_ard_3-2-0_108074_2021-04-23_final
2021-05-04 09:11:14	ga_ls8c_ard_3-2-0_089078_2021-05-03_final
2021-05-11 10:58:19	ga_ls8c_ard_3-2-0_106083_2021-05-11_final
2021-05-18 11:03:46	ga_ls8c_ard_3-2-0_107081_2021-05-18_final
2021-06-03 09:21:50	ga_ls8c_ard_3-2-0_091073_2021-06-02_final
2021-06-08 09:38:01	ga_ls8c_ard_3-2-0_094067_2021-06-08_final
2021-06-08 11:18:54	ga_ls8c_ard_3-2-0_110072_2021-06-08_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-07-09 10:34:09	ga_ls8c_ard_3-2-0_103068_2021-07-09_final
2021-07-13 10:14:13	ga_ls8c_ard_3-2-0_099080_2021-07-13_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-08-02 09:52:03	ga_ls8c_ard_3-2-0_095086_2021-08-02_final
2021-08-04 11:12:36	ga_ls8c_ard_3-2-0_109071_2021-08-04_final
2021-09-23 11:00:04	ga_ls8c_ard_3-2-0_107070_2021-09-23_final
2021-10-03 09:57:32	ga_ls8c_ard_3-2-0_097068_2021-10-03_final
2021-10-06 10:28:27	ga_ls8c_ard_3-2-0_102068_2021-10-06_final
2021-11-02 10:14:20	ga_ls8c_ard_3-2-0_099079_2021-11-02_final
2021-11-15 11:19:03	ga_ls8c_ard_3-2-0_110071_2021-11-15_final
2021-11-21 10:40:46	ga_ls8c_ard_3-2-0_104068_2021-11-21_final
2021-11-25 10:18:51	ga_ls8c_ard_3-2-0_100075_2021-11-25_final
2021-12-01 11:24:15	ga_ls8c_ard_3-2-0_110084_2021-12-01_final
2021-12-13 11:47:46	ga_ls8c_ard_3-2-1_114081_2021-12-13_final
2022-01-22 09:19:40	ga_ls8c_ard_3-2-1_090082_2022-01-21_final
2022-06-06 09:25:20	ga_ls8c_ard_3-2-1_091081_2022-06-05_final
2022-07-27 11:36:14	ga_ls8c_ard_3-2-1_112083_2022-07-27_final
2022-08-11 09:12:37	ga_ls8c_ard_3-2-1_089079_2022-08-10_final
2022-08-28 09:58:42	ga_ls8c_ard_3-2-1_096086_2022-08-28_final
2022-09-03 09:21:37	ga_ls8c_ard_3-2-1_090086_2022-09-02_final
2022-09-03 10:56:30	ga_ls8c_ard_3-2-1_106076_2022-09-03_final
2022-09-10 09:22:41	ga_ls8c_ard_3-2-1_091073_2022-09-09_final
2022-12-21 10:28:16	ga_ls8c_ard_3-2-1_101083_2022-12-21_final
2023-01-01 11:47:50	ga_ls8c_ard_3-2-1_114081_2023-01-01_final
2023-02-06 11:24:40	ga_ls8c_ard_3-2-1_110085_2023-02-06_final
2023-03-04 10:21:44	ga_ls8c_ard_3-2-1_100083_2023-03-04_final
2023-06-18 09:17:22	ga_ls8c_ard_3-2-1_090078_2023-06-17_final
2023-07-03 10:08:46	ga_ls8c_ard_3-2-1_099067_2023-07-03_final
2023-07-11 09:26:58	ga_ls8c_ard_3-2-1_091086_2023-07-10_final
2023-07-20 09:17:12	ga_ls8c_ard_3-2-1_090077_2023-07-19_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 09:51:44	ga_ls8c_ard_3-2-1_095086_2023-07-23_final
2023-10-07 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-10-07_final
2023-10-08 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-10-08_final
2023-10-27 09:46:37	ga_ls8c_ard_3-2-1_095072_2023-10-27_final
2023-11-02 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-01_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-11-25 10:54:14	ga_ls8c_ard_3-2-1_106071_2023-11-25_final
2024-01-03 09:23:23	ga_ls8c_ard_3-2-1_091076_2024-01-02_final
2024-01-24 11:19:09	ga_ls8c_ard_3-2-1_110072_2024-01-24_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