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
2013-09-01 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-09-01_final
2013-09-10 09:24:18	ga_ls8c_ard_3-0-0_090089_2013-09-09_final
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-05 09:18:00	ga_ls8c_ard_3-0-0_089089_2013-10-04_final
2013-10-12 09:24:10	ga_ls8c_ard_3-0-0_090089_2013-10-11_final
2013-10-28 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-10-27_final
2013-11-04 09:30:13	ga_ls8c_ard_3-0-0_091089_2013-11-04_final
2013-11-06 09:17:51	ga_ls8c_ard_3-0-0_089089_2013-11-05_final
2013-11-11 09:36:23	ga_ls8c_ard_3-0-0_092089_2013-11-11_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2013-11-20 09:30:06	ga_ls8c_ard_3-0-0_091089_2013-11-20_final
2013-11-27 09:36:15	ga_ls8c_ard_3-0-0_092089_2013-11-27_final
2013-11-29 09:23:54	ga_ls8c_ard_3-0-0_090089_2013-11-28_final
2013-12-13 09:36:13	ga_ls8c_ard_3-0-0_092089_2013-12-13_final
2013-12-15 09:23:50	ga_ls8c_ard_3-0-0_090089_2013-12-14_final
2013-12-24 09:17:34	ga_ls8c_ard_3-0-0_089089_2013-12-23_final
2013-12-31 09:23:42	ga_ls8c_ard_3-0-0_090089_2013-12-30_final
2014-01-07 09:29:47	ga_ls8c_ard_3-0-0_091089_2014-01-06_final
2014-01-09 09:17:23	ga_ls8c_ard_3-0-0_089089_2014-01-08_final
2014-01-14 09:35:50	ga_ls8c_ard_3-0-0_092089_2014-01-14_final
2014-01-16 09:23:26	ga_ls8c_ard_3-0-0_090089_2014-01-15_final
2014-01-23 09:29:36	ga_ls8c_ard_3-0-0_091089_2014-01-22_final
2014-01-25 09:17:14	ga_ls8c_ard_3-0-0_089089_2014-01-24_final
2014-01-30 09:35:44	ga_ls8c_ard_3-0-0_092089_2014-01-30_final
2014-02-01 09:23:21	ga_ls8c_ard_3-0-0_090089_2014-01-31_final
2014-02-08 09:29:26	ga_ls8c_ard_3-0-0_091089_2014-02-07_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2018-10-24 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-10-24_final
2018-10-26 09:22:11	ga_ls8c_ard_3-0-0_090089_2018-10-25_final
2020-10-08 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-07_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-15 09:22:37	ga_ls8c_ard_3-1-0_090089_2020-10-14_final
2020-10-18 09:53:08	ga_ls8c_ard_3-1-0_095088_2020-10-18_final
2020-10-20 09:40:46	ga_ls8c_ard_3-1-0_093088_2020-10-20_final
2020-10-22 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-21_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-10-29 09:34:58	ga_ls8c_ard_3-1-0_092089_2020-10-29_final
2020-10-31 09:22:36	ga_ls8c_ard_3-1-0_090089_2020-10-30_final
2020-11-23 09:28:47	ga_ls8c_ard_3-1-0_091089_2020-11-22_final
2020-11-30 09:35:00	ga_ls8c_ard_3-1-0_092089_2020-11-30_final
2020-12-02 09:22:38	ga_ls8c_ard_3-1-0_090089_2020-12-01_final
2020-12-11 09:16:28	ga_ls8c_ard_3-1-0_089089_2020-12-10_final
2021-01-17 09:34:48	ga_ls8c_ard_3-2-0_092089_2021-01-17_final
2021-02-04 09:22:24	ga_ls8c_ard_3-2-0_090089_2021-02-03_final
2021-02-11 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-02-10_final
2021-02-13 09:16:12	ga_ls8c_ard_3-2-0_089089_2021-02-12_final
2021-03-22 09:34:28	ga_ls8c_ard_3-2-0_092089_2021-03-22_final
2021-03-24 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-03-23_final
2021-03-31 09:28:15	ga_ls8c_ard_3-2-0_091089_2021-03-30_final
2021-04-07 09:34:23	ga_ls8c_ard_3-2-0_092089_2021-04-07_final
2021-04-09 09:22:01	ga_ls8c_ard_3-2-0_090089_2021-04-08_final
2021-04-16 09:28:09	ga_ls8c_ard_3-2-0_091089_2021-04-15_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-23 09:34:16	ga_ls8c_ard_3-2-0_092089_2021-04-23_final
2021-04-25 09:21:54	ga_ls8c_ard_3-2-0_090089_2021-04-24_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-06-15 09:52:37	ga_ls8c_ard_3-2-0_095088_2021-06-15_final
2021-06-19 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-06-18_final
2021-06-21 09:15:58	ga_ls8c_ard_3-2-0_089089_2021-06-20_final
2021-06-24 09:46:29	ga_ls8c_ard_3-2-0_094088_2021-06-24_final
2021-06-26 09:34:32	ga_ls8c_ard_3-2-0_092089_2021-06-26_final
2021-06-28 09:22:10	ga_ls8c_ard_3-2-0_090089_2021-06-27_final
2021-07-01 09:52:41	ga_ls8c_ard_3-2-0_095088_2021-07-01_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-07 09:16:01	ga_ls8c_ard_3-2-0_089089_2021-07-06_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-14 09:21:48	ga_ls8c_ard_3-2-0_090088_2021-07-13_final
2021-07-14 09:22:12	ga_ls8c_ard_3-2-0_090089_2021-07-13_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2021-07-23 09:16:05	ga_ls8c_ard_3-2-0_089089_2021-07-22_final
2021-07-28 09:34:40	ga_ls8c_ard_3-2-0_092089_2021-07-28_final
2021-08-02 09:52:51	ga_ls8c_ard_3-2-0_095088_2021-08-02_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-08-08 09:16:13	ga_ls8c_ard_3-2-0_089089_2021-08-07_final
2021-12-14 09:16:27	ga_ls8c_ard_3-2-1_089089_2021-12-13_final
2021-12-19 09:34:59	ga_ls8c_ard_3-2-1_092089_2021-12-19_final
2021-12-26 09:40:43	ga_ls8c_ard_3-2-1_093088_2021-12-26_final
2021-12-28 09:28:44	ga_ls8c_ard_3-2-1_091089_2021-12-27_final
2021-12-30 09:16:22	ga_ls8c_ard_3-2-1_089089_2021-12-29_final
2022-01-13 09:28:42	ga_ls8c_ard_3-2-1_091089_2022-01-12_final
2022-01-15 09:16:20	ga_ls8c_ard_3-2-1_089089_2022-01-14_final
2022-03-04 09:16:07	ga_ls8c_ard_3-2-1_089089_2022-03-03_final
2022-03-09 09:34:38	ga_ls8c_ard_3-2-1_092089_2022-03-09_final
2022-03-11 09:22:16	ga_ls8c_ard_3-2-1_090089_2022-03-10_final
2022-03-25 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-03-25_final
2022-03-27 09:22:04	ga_ls8c_ard_3-2-1_090089_2022-03-26_final
2022-04-03 09:28:12	ga_ls8c_ard_3-2-1_091089_2022-04-02_final
2022-04-05 09:15:52	ga_ls8c_ard_3-2-1_089089_2022-04-04_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-04-12 09:22:07	ga_ls8c_ard_3-2-1_090089_2022-04-11_final
2022-04-19 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-04-18_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-04-26 09:34:26	ga_ls8c_ard_3-2-1_092089_2022-04-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-04-28 09:22:03	ga_ls8c_ard_3-2-1_090089_2022-04-27_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_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