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
2013-04-05 11:06:39	ga_ls8c_ard_3-0-0_108075_2013-04-05_final
2013-04-26 11:01:55	ga_ls8c_ard_3-0-0_107071_2013-04-26_final
2013-05-20 11:54:49	ga_ls8c_ard_3-0-0_115079_2013-05-20_final
2013-05-30 10:51:04	ga_ls8c_ard_3-0-0_105074_2013-05-30_final
2013-11-06 10:49:57	ga_ls8c_ard_3-0-0_105072_2013-11-06_final
2013-11-09 09:47:57	ga_ls8c_ard_3-0-0_094087_2013-11-09_final
2014-01-17 11:36:48	ga_ls8c_ard_3-0-0_113067_2014-01-17_final
2014-04-29 11:03:56	ga_ls8c_ard_3-0-0_107081_2014-04-29_final
2014-06-28 09:51:19	ga_ls8c_ard_3-0-0_095085_2014-06-28_final
2014-10-29 11:06:07	ga_ls8c_ard_3-0-0_108070_2014-10-29_final
2015-01-10 11:00:37	ga_ls8c_ard_3-0-0_107072_2015-01-10_final
2015-04-21 09:39:11	ga_ls8c_ard_3-0-0_094071_2015-04-21_final
2015-06-08 11:17:32	ga_ls8c_ard_3-0-0_110070_2015-06-08_final
2015-06-13 11:37:43	ga_ls8c_ard_3-0-0_113074_2015-06-13_final
2015-12-01 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-01_final
2016-03-29 11:25:46	ga_ls8c_ard_3-0-0_111074_2016-03-29_final
2016-05-16 11:22:51	ga_ls8c_ard_3-0-0_111067_2016-05-16_final
2016-06-07 10:49:29	ga_ls8c_ard_3-0-0_105076_2016-06-07_final
2016-06-12 11:08:02	ga_ls8c_ard_3-0-0_108076_2016-06-12_final
2016-06-13 11:52:30	ga_ls8c_ard_3-0-0_115079_2016-06-13_final
2016-07-01 11:38:41	ga_ls8c_ard_3-0-0_113075_2016-07-01_final
2016-08-29 09:45:11	ga_ls8c_ard_3-0-0_094084_2016-08-29_final
2016-10-18 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-10-18_final
2017-05-09 10:48:21	ga_ls8c_ard_3-0-0_105074_2017-05-09_final
2017-07-17 11:08:11	ga_ls8c_ard_3-0-0_108076_2017-07-17_final
2017-10-10 09:52:40	ga_ls8c_ard_3-0-0_095087_2017-10-10_final
2017-10-24 11:41:09	ga_ls8c_ard_3-0-0_113080_2017-10-24_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-12-06 11:18:27	ga_ls8c_ard_3-0-0_110070_2017-12-06_final
2018-03-12 11:23:30	ga_ls8c_ard_3-0-0_110084_2018-03-12_final
2018-07-02 11:19:22	ga_ls8c_ard_3-0-0_110075_2018-07-02_final
2018-07-13 11:03:19	ga_ls8c_ard_3-0-0_107081_2018-07-13_final
2018-07-31 10:48:17	ga_ls8c_ard_3-0-0_105074_2018-07-31_final
2018-09-17 10:49:26	ga_ls8c_ard_3-0-0_105076_2018-09-17_final
2018-11-21 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-21_final
2019-04-07 11:26:24	ga_ls8c_ard_3-1-0_111076_2019-04-07_final
2019-04-14 11:34:08	ga_ls8c_ard_3-1-0_112080_2019-04-14_final
2019-05-08 09:06:13	ga_ls8c_ard_3-0-0_088081_2019-05-07_final
2019-08-13 09:46:32	ga_ls8c_ard_3-1-0_095072_2019-08-13_final
2019-08-22 11:20:28	ga_ls8c_ard_3-1-0_110075_2019-08-22_final
2019-10-22 10:50:12	ga_ls8c_ard_3-1-0_105076_2019-10-22_final
2019-11-26 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-11-26_final
2019-11-30 10:56:18	ga_ls8c_ard_3-1-0_106076_2019-11-30_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-06-21 11:19:12	ga_ls8c_ard_3-1-0_110073_2020-06-21_final
2020-06-28 11:24:39	ga_ls8c_ard_3-1-0_111071_2020-06-28_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-14 09:51:10	ga_ls8c_ard_3-2-0_095085_2021-05-14_final
2021-06-16 10:30:42	ga_ls8c_ard_3-2-0_102075_2021-06-16_final
2021-07-22 10:03:43	ga_ls8c_ard_3-2-0_098069_2021-07-22_final
2021-07-28 09:31:29	ga_ls8c_ard_3-2-0_092081_2021-07-28_final
2021-08-02 09:45:40	ga_ls8c_ard_3-2-0_095070_2021-08-02_final
2021-08-02 09:47:40	ga_ls8c_ard_3-2-0_095075_2021-08-02_final
2021-08-26 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-08-26_final
2021-08-27 11:17:19	ga_ls8c_ard_3-2-0_110067_2021-08-27_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-11-15 11:21:03	ga_ls8c_ard_3-2-0_110076_2021-11-15_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-15 11:31:49	ga_ls8c_ard_3-2-1_112072_2021-12-15_final
2021-12-30 10:49:15	ga_ls8c_ard_3-2-1_105074_2021-12-30_final
2022-01-07 10:03:24	ga_ls8c_ard_3-2-1_097083_2022-01-07_final
2022-03-05 11:31:28	ga_ls8c_ard_3-2-1_112072_2022-03-05_final
2022-03-23 11:19:21	ga_ls8c_ard_3-2-1_110073_2022-03-23_final
2022-04-10 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-04-10_final
2022-05-15 11:38:22	ga_ls8c_ard_3-2-1_113074_2022-05-15_final
2022-05-29 10:11:04	ga_ls8c_ard_3-2-1_099072_2022-05-29_final
2022-07-05 10:28:43	ga_ls8c_ard_3-2-1_102069_2022-07-05_final
2022-07-08 11:05:12	ga_ls8c_ard_3-2-1_107083_2022-07-08_final
2022-10-06 11:39:03	ga_ls8c_ard_3-2-1_113074_2022-10-06_final
2022-10-12 09:23:00	ga_ls8c_ard_3-2-1_091074_2022-10-11_final
2022-10-28 09:29:06	ga_ls8c_ard_3-2-1_091089_2022-10-27_final
2022-11-09 09:47:01	ga_ls8c_ard_3-2-1_095072_2022-11-09_final
2022-11-21 10:16:27	ga_ls8c_ard_3-2-1_099084_2022-11-21_final
2022-12-04 09:41:35	ga_ls8c_ard_3-2-1_094074_2022-12-04_final
2022-12-17 10:49:52	ga_ls8c_ard_3-2-1_105075_2022-12-17_final
2022-12-27 11:30:29	ga_ls8c_ard_3-2-1_111084_2022-12-27_final
2023-03-21 09:21:58	ga_ls8c_ard_3-2-1_091073_2023-03-20_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-03-30 09:17:18	ga_ls8c_ard_3-2-1_090077_2023-03-29_final
2023-04-09 11:34:40	ga_ls8c_ard_3-2-1_112081_2023-04-09_final
2023-04-12 10:24:15	ga_ls8c_ard_3-2-1_101075_2023-04-12_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-30 10:25:11	ga_ls8c_ard_3-2-1_101078_2023-05-30_final
2023-06-08 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-06-08_final
2023-06-09 09:27:05	ga_ls8c_ard_3-2-1_091087_2023-06-08_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-10-07 11:52:32	ga_ls8c_ard_3-2-1_115078_2023-10-07_final
2023-10-15 09:21:51	ga_ls8c_ard_3-2-1_091072_2023-10-14_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-11-04 10:40:02	ga_ls8c_ard_3-2-1_103082_2023-11-04_final
2023-11-09 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-11-08_final
2023-11-11 09:06:52	ga_ls8c_ard_3-2-1_088081_2023-11-10_final
2023-11-12 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-11-12_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-12-23 09:40:02	ga_ls8c_ard_3-2-1_094071_2023-12-23_final
2024-01-02 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-02_final
2024-01-08 09:39:55	ga_ls8c_ard_3-2-1_094071_2024-01-08_final
2024-01-15 09:50:55	ga_ls8c_ard_3-2-1_095083_2024-01-15_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-02-28_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