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
2014-03-05 09:22:51	ga_ls8c_ard_3-0-0_090089_2014-03-04_final
2014-03-12 09:29:00	ga_ls8c_ard_3-0-0_091089_2014-03-11_final
2014-03-14 09:16:38	ga_ls8c_ard_3-0-0_089089_2014-03-13_final
2014-04-04 09:34:50	ga_ls8c_ard_3-0-0_092089_2014-04-04_final
2014-04-13 09:28:30	ga_ls8c_ard_3-0-0_091089_2014-04-12_final
2014-05-24 09:21:47	ga_ls8c_ard_3-0-0_090089_2014-05-23_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2014-06-02 09:15:43	ga_ls8c_ard_3-0-0_089089_2014-06-01_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-09 09:34:06	ga_ls8c_ard_3-0-0_092088_2014-07-09_final
2014-07-09 09:34:30	ga_ls8c_ard_3-0-0_092089_2014-07-09_final
2014-07-25 09:34:07	ga_ls8c_ard_3-0-0_092088_2014-07-25_final
2014-07-25 09:34:31	ga_ls8c_ard_3-0-0_092089_2014-07-25_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-08-12 09:21:56	ga_ls8c_ard_3-0-0_090088_2014-08-11_final
2014-08-12 09:22:20	ga_ls8c_ard_3-0-0_090089_2014-08-11_final
2014-09-11 09:34:48	ga_ls8c_ard_3-0-0_092089_2014-09-11_final
2014-09-13 09:22:26	ga_ls8c_ard_3-0-0_090089_2014-09-12_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2014-11-16 09:22:30	ga_ls8c_ard_3-0-0_090089_2014-11-15_final
2015-08-29 09:34:27	ga_ls8c_ard_3-0-0_092089_2015-08-29_final
2015-08-31 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-08-30_final
2015-08-31 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-08-30_final
2015-09-03 09:52:36	ga_ls8c_ard_3-0-0_095088_2015-09-03_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-09-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2015-09-28_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-11 09:15:43	ga_ls8c_ard_3-0-0_089088_2015-10-10_final
2015-10-11 09:16:07	ga_ls8c_ard_3-0-0_089089_2015-10-10_final
2015-10-16 09:34:39	ga_ls8c_ard_3-0-0_092089_2015-10-16_final
2015-10-18 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-10-17_final
2015-10-18 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-10-17_final
2015-10-25 09:28:33	ga_ls8c_ard_3-0-0_091089_2015-10-24_final
2015-10-27 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-10-26_final
2015-10-27 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-10-26_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-15 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-11-15_final
2015-11-17 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-17_final
2015-11-19 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-11-18_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2015-11-28 09:16:16	ga_ls8c_ard_3-0-0_089089_2015-11-27_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-05 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-12-04_final
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2015-12-14 09:15:50	ga_ls8c_ard_3-0-0_089088_2015-12-13_final
2015-12-14 09:16:14	ga_ls8c_ard_3-0-0_089089_2015-12-13_final
2015-12-19 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-19_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-24 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-12-24_final
2015-12-26 09:40:34	ga_ls8c_ard_3-0-0_093088_2015-12-26_final
2016-08-17 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-08-16_final
2016-08-20 09:52:54	ga_ls8c_ard_3-0-0_095088_2016-08-20_final
2016-09-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2016-09-01_final
2016-09-09 09:28:41	ga_ls8c_ard_3-0-0_091089_2016-09-08_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-09-25 09:28:42	ga_ls8c_ard_3-0-0_091089_2016-09-24_final
2016-10-04 09:22:09	ga_ls8c_ard_3-0-0_090088_2016-10-03_final
2016-10-04 09:22:33	ga_ls8c_ard_3-0-0_090089_2016-10-03_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-20 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-10-19_final
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-12 09:28:48	ga_ls8c_ard_3-0-0_091089_2016-11-11_final
2016-11-14 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-11-13_final
2016-11-14 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-11-13_final
2016-11-17 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-17_final
2016-11-19 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-11-19_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2018-09-11 09:52:24	ga_ls8c_ard_3-0-0_095088_2018-09-11_final
2018-09-13 09:40:03	ga_ls8c_ard_3-0-0_093088_2018-09-13_final
2018-09-17 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-09-16_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2018-09-27 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-09-27_final
2018-09-29 09:40:09	ga_ls8c_ard_3-0-0_093088_2018-09-29_final
2018-11-04 09:15:38	ga_ls8c_ard_3-0-0_089088_2018-11-03_final
2018-11-04 09:16:02	ga_ls8c_ard_3-0-0_089089_2018-11-03_final
2018-11-20 09:15:39	ga_ls8c_ard_3-0-0_089088_2018-11-19_final
2018-11-20 09:16:03	ga_ls8c_ard_3-0-0_089089_2018-11-19_final
2018-12-06 09:15:36	ga_ls8c_ard_3-0-0_089088_2018-12-05_final
2018-12-06 09:16:00	ga_ls8c_ard_3-0-0_089089_2018-12-05_final
2019-01-01 09:52:40	ga_ls8c_ard_3-0-0_095088_2019-01-01_final
2019-11-23 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-11-22_final
2019-12-14 09:34:57	ga_ls8c_ard_3-2-0_092089_2019-12-14_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2019-12-16 09:22:35	ga_ls8c_ard_3-2-0_090089_2019-12-15_final
2020-06-21 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-06-21_final
2020-06-23 09:33:58	ga_ls8c_ard_3-1-0_092088_2020-06-23_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-06-30 09:40:12	ga_ls8c_ard_3-1-0_093088_2020-06-30_final
2020-07-02 09:28:15	ga_ls8c_ard_3-1-0_091089_2020-07-01_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-07-18 09:28:21	ga_ls8c_ard_3-1-0_091089_2020-07-17_final
2020-07-20 09:15:36	ga_ls8c_ard_3-1-0_089088_2020-07-19_final
2020-07-20 09:16:00	ga_ls8c_ard_3-1-0_089089_2020-07-19_final
2020-09-02 09:40:35	ga_ls8c_ard_3-1-0_093088_2020-09-02_final
2020-09-04 09:28:39	ga_ls8c_ard_3-1-0_091089_2020-09-03_final
2020-09-18 09:40:41	ga_ls8c_ard_3-1-0_093088_2020-09-18_final
2020-09-20 09:28:44	ga_ls8c_ard_3-1-0_091089_2020-09-19_final
2020-09-25 09:46:54	ga_ls8c_ard_3-1-0_094088_2020-09-25_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