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
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-02 09:28:15	ga_ls8c_ard_3-0-0_091089_2014-07-01_final
2014-07-04 09:15:54	ga_ls8c_ard_3-0-0_089089_2014-07-03_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
2014-08-10 09:34:41	ga_ls8c_ard_3-0-0_092089_2014-08-10_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
2014-08-26 09:34:44	ga_ls8c_ard_3-0-0_092089_2014-08-26_final
2014-08-28 09:22:22	ga_ls8c_ard_3-0-0_090089_2014-08-27_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
2014-09-20 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-19_final
2014-09-22 09:16:12	ga_ls8c_ard_3-0-0_089089_2014-09-21_final
2014-09-27 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-09-27_final
2014-09-29 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-09-28_final
2014-09-29 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-09-28_final
2014-10-04 09:40:37	ga_ls8c_ard_3-0-0_093088_2014-10-04_final
2014-10-06 09:28:40	ga_ls8c_ard_3-0-0_091089_2014-10-05_final
2014-11-07 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-11-06_final
2014-11-09 09:16:20	ga_ls8c_ard_3-0-0_089089_2014-11-08_final
2014-11-14 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-11-14_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
2014-11-23 09:28:38	ga_ls8c_ard_3-0-0_091089_2014-11-22_final
2014-12-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2014-12-01_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2015-01-01 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-01_final
2015-01-03 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-01-02_final
2015-06-26 09:33:34	ga_ls8c_ard_3-0-0_092088_2015-06-26_final
2015-06-26 09:33:58	ga_ls8c_ard_3-0-0_092089_2015-06-26_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-07-23 09:15:18	ga_ls8c_ard_3-0-0_089088_2015-07-22_final
2015-07-23 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-07-22_final
2015-08-04 09:40:03	ga_ls8c_ard_3-0-0_093088_2015-08-04_final
2015-08-06 09:28:05	ga_ls8c_ard_3-0-0_091089_2015-08-05_final
2015-08-29 09:34:27	ga_ls8c_ard_3-0-0_092089_2015-08-29_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2015-09-07 09:28:19	ga_ls8c_ard_3-0-0_091089_2015-09-06_final
2015-09-09 09:15:35	ga_ls8c_ard_3-0-0_089088_2015-09-08_final
2015-09-09 09:15:59	ga_ls8c_ard_3-0-0_089089_2015-09-08_final
2015-09-19 09:52:45	ga_ls8c_ard_3-0-0_095088_2015-09-19_final
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-09-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2015-09-24_final
2015-09-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2015-09-24_final
2015-10-16 09:34:39	ga_ls8c_ard_3-0-0_092089_2015-10-16_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
2015-11-15 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
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-11-28 09:16:16	ga_ls8c_ard_3-0-0_089089_2015-11-27_final
2018-02-19 09:28:15	ga_ls8c_ard_3-0-0_091089_2018-02-18_final
2018-02-21 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-02-20_final
2018-02-26 09:34:23	ga_ls8c_ard_3-0-0_092089_2018-02-26_final
2018-03-09 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-03-08_final
2018-03-14 09:34:13	ga_ls8c_ard_3-0-0_092089_2018-03-14_final
2018-03-30 09:34:07	ga_ls8c_ard_3-0-0_092089_2018-03-30_final
2018-04-01 09:21:44	ga_ls8c_ard_3-0-0_090089_2018-03-31_final
2018-04-10 09:15:28	ga_ls8c_ard_3-0-0_089089_2018-04-09_final
2018-04-15 09:33:58	ga_ls8c_ard_3-0-0_092089_2018-04-15_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-04-26 09:15:19	ga_ls8c_ard_3-0-0_089089_2018-04-25_final
2018-05-01 09:33:49	ga_ls8c_ard_3-0-0_092089_2018-05-01_final
2018-05-03 09:21:26	ga_ls8c_ard_3-0-0_090089_2018-05-02_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-05-17 09:33:38	ga_ls8c_ard_3-0-0_092089_2018-05-17_final
2018-05-28 09:14:57	ga_ls8c_ard_3-0-0_089089_2018-05-27_final
2018-06-02 09:33:26	ga_ls8c_ard_3-0-0_092089_2018-06-02_final
2018-06-13 09:14:34	ga_ls8c_ard_3-0-0_089088_2018-06-12_final
2018-06-13 09:14:58	ga_ls8c_ard_3-0-0_089089_2018-06-12_final
2018-06-16 09:45:31	ga_ls8c_ard_3-0-0_094088_2018-06-16_final
2018-06-18 09:33:10	ga_ls8c_ard_3-0-0_092088_2018-06-18_final
2018-06-18 09:33:34	ga_ls8c_ard_3-0-0_092089_2018-06-18_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2018-07-04 09:33:20	ga_ls8c_ard_3-0-0_092088_2018-07-04_final
2018-07-04 09:33:44	ga_ls8c_ard_3-0-0_092089_2018-07-04_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_final
2018-07-06 09:21:23	ga_ls8c_ard_3-0-0_090089_2018-07-05_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-18 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-07-18_final
2018-07-27 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-07-27_final
2018-07-29 09:27:44	ga_ls8c_ard_3-0-0_091089_2018-07-28_final
2018-08-05 09:33:35	ga_ls8c_ard_3-0-0_092088_2018-08-05_final
2018-08-05 09:33:59	ga_ls8c_ard_3-0-0_092089_2018-08-05_final
2018-09-08 09:21:29	ga_ls8c_ard_3-0-0_090088_2018-09-07_final
2018-09-08 09:21:53	ga_ls8c_ard_3-0-0_090089_2018-09-07_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
2018-09-15 09:28:05	ga_ls8c_ard_3-0-0_091089_2018-09-14_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-10-24 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-10-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years