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
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-28 09:22:46	ga_ls8c_ard_3-0-0_090090_2014-08-27_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-10-24 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-10-23_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2016-05-04 09:28:53	ga_ls8c_ard_3-0-0_091091_2016-05-03_final
2016-05-13 09:22:37	ga_ls8c_ard_3-0-0_090091_2016-05-12_final
2016-05-20 09:28:51	ga_ls8c_ard_3-0-0_091091_2016-05-19_final
2016-05-22 09:16:07	ga_ls8c_ard_3-0-0_089090_2016-05-21_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-05-29 09:22:44	ga_ls8c_ard_3-0-0_090091_2016-05-28_final
2016-06-05 09:28:57	ga_ls8c_ard_3-0-0_091091_2016-06-04_final
2016-06-07 09:16:11	ga_ls8c_ard_3-0-0_089090_2016-06-06_final
2016-06-12 09:34:44	ga_ls8c_ard_3-0-0_092090_2016-06-12_final
2016-06-14 09:22:47	ga_ls8c_ard_3-0-0_090091_2016-06-13_final
2016-06-21 09:28:37	ga_ls8c_ard_3-0-0_091090_2016-06-20_final
2016-06-21 09:29:01	ga_ls8c_ard_3-0-0_091091_2016-06-20_final
2016-06-23 09:16:16	ga_ls8c_ard_3-0-0_089090_2016-06-22_final
2016-06-30 09:22:55	ga_ls8c_ard_3-0-0_090091_2016-06-29_final
2016-07-16 09:22:39	ga_ls8c_ard_3-0-0_090090_2016-07-15_final
2016-07-16 09:23:03	ga_ls8c_ard_3-0-0_090091_2016-07-15_final
2016-07-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2016-07-22_final
2016-07-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2016-07-22_final
2016-08-01 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-07-31_final
2016-08-01 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-07-31_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_final
2016-08-10 09:16:32	ga_ls8c_ard_3-0-0_089090_2016-08-09_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-17 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-08-16_final
2016-08-31 09:35:14	ga_ls8c_ard_3-0-0_092090_2016-08-31_final
2016-10-04 09:23:21	ga_ls8c_ard_3-0-0_090091_2016-10-03_final
2016-10-20 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-10-19_final
2016-11-21 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-20_final
2016-11-21 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-11-20_final
2017-03-20 09:28:56	ga_ls8c_ard_3-0-0_091091_2017-03-19_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2017-04-05 09:28:49	ga_ls8c_ard_3-0-0_091091_2017-04-04_final
2017-04-14 09:22:33	ga_ls8c_ard_3-0-0_090091_2017-04-13_final
2017-04-21 09:28:40	ga_ls8c_ard_3-0-0_091091_2017-04-20_final
2017-04-28 09:34:21	ga_ls8c_ard_3-0-0_092090_2017-04-28_final
2017-04-30 09:21:59	ga_ls8c_ard_3-0-0_090090_2017-04-29_final
2017-04-30 09:22:23	ga_ls8c_ard_3-0-0_090091_2017-04-29_final
2017-05-07 09:28:12	ga_ls8c_ard_3-0-0_091090_2017-05-06_final
2017-05-07 09:28:36	ga_ls8c_ard_3-0-0_091091_2017-05-06_final
2017-05-09 09:15:52	ga_ls8c_ard_3-0-0_089090_2017-05-08_final
2017-05-16 09:22:08	ga_ls8c_ard_3-0-0_090090_2017-05-15_final
2017-05-16 09:22:32	ga_ls8c_ard_3-0-0_090091_2017-05-15_final
2017-05-23 09:28:23	ga_ls8c_ard_3-0-0_091090_2017-05-22_final
2017-05-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2017-05-22_final
2017-05-25 09:16:03	ga_ls8c_ard_3-0-0_089090_2017-05-24_final
2017-06-01 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-05-31_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-06-08 09:28:55	ga_ls8c_ard_3-0-0_091091_2017-06-07_final
2017-06-10 09:16:11	ga_ls8c_ard_3-0-0_089090_2017-06-09_final
2017-06-17 09:22:48	ga_ls8c_ard_3-0-0_090091_2017-06-16_final
2017-06-24 09:29:01	ga_ls8c_ard_3-0-0_091091_2017-06-23_final
2017-07-01 09:34:49	ga_ls8c_ard_3-0-0_092090_2017-07-01_final
2017-07-03 09:22:52	ga_ls8c_ard_3-0-0_090091_2017-07-02_final
2017-07-10 09:28:40	ga_ls8c_ard_3-0-0_091090_2017-07-09_final
2017-07-10 09:29:04	ga_ls8c_ard_3-0-0_091091_2017-07-09_final
2017-08-11 09:29:18	ga_ls8c_ard_3-0-0_091091_2017-08-10_final
2017-09-03 09:35:09	ga_ls8c_ard_3-0-0_092090_2017-09-03_final
2017-09-12 09:29:22	ga_ls8c_ard_3-0-0_091091_2017-09-11_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-09-21 09:22:51	ga_ls8c_ard_3-0-0_090090_2017-09-20_final
2017-09-28 09:29:29	ga_ls8c_ard_3-0-0_091091_2017-09-27_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-03-16 09:22:39	ga_ls8c_ard_3-0-0_090091_2018-03-15_final
2018-04-01 09:22:32	ga_ls8c_ard_3-0-0_090091_2018-03-31_final
2018-04-17 09:22:23	ga_ls8c_ard_3-0-0_090091_2018-04-16_final
2019-01-30 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-01-29_final
2019-02-06 09:29:02	ga_ls8c_ard_3-0-0_091091_2019-02-05_final
2019-02-15 09:22:50	ga_ls8c_ard_3-0-0_090091_2019-02-14_final
2019-03-19 09:22:40	ga_ls8c_ard_3-1-0_090091_2019-03-18_final
2019-04-04 09:22:37	ga_ls8c_ard_3-1-0_090091_2019-04-03_final
2019-04-29 09:15:55	ga_ls8c_ard_3-0-0_089090_2019-04-28_final
2021-01-26 09:29:24	ga_ls8c_ard_3-2-0_091091_2021-01-25_final
2021-02-04 09:23:12	ga_ls8c_ard_3-2-0_090091_2021-02-03_final
2021-02-27 09:29:16	ga_ls8c_ard_3-2-0_091091_2021-02-26_final
2021-03-08 09:23:01	ga_ls8c_ard_3-2-0_090091_2021-03-07_final
2021-03-15 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-03-14_final
2021-03-24 09:22:54	ga_ls8c_ard_3-2-0_090091_2021-03-23_final
2021-03-31 09:29:03	ga_ls8c_ard_3-2-0_091091_2021-03-30_final
2021-04-09 09:22:49	ga_ls8c_ard_3-2-0_090091_2021-04-08_final
2021-04-16 09:28:57	ga_ls8c_ard_3-2-0_091091_2021-04-15_final
2021-05-18 09:28:29	ga_ls8c_ard_3-2-0_091090_2021-05-17_final
2021-05-18 09:28:53	ga_ls8c_ard_3-2-0_091091_2021-05-17_final
2021-06-19 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-06-18_final
2021-06-26 09:34:56	ga_ls8c_ard_3-2-0_092090_2021-06-26_final
2021-06-28 09:22:34	ga_ls8c_ard_3-2-0_090090_2021-06-27_final
2021-06-28 09:22:58	ga_ls8c_ard_3-2-0_090091_2021-06-27_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-05 09:29:10	ga_ls8c_ard_3-2-0_091091_2021-07-04_final
2021-07-12 09:34:57	ga_ls8c_ard_3-2-0_092090_2021-07-12_final
2021-07-14 09:23:00	ga_ls8c_ard_3-2-0_090091_2021-07-13_final
2021-07-21 09:29:14	ga_ls8c_ard_3-2-0_091091_2021-07-20_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