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
2014-07-09 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
2014-07-11 09:21:45	ga_ls8c_ard_3-0-0_090088_2014-07-10_final
2014-07-11 09:22:09	ga_ls8c_ard_3-0-0_090089_2014-07-10_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 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-08-05 09:16:07	ga_ls8c_ard_3-0-0_089089_2014-08-04_final
2014-08-21 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-08-20_final
2014-09-02 09:40:32	ga_ls8c_ard_3-0-0_093088_2014-09-02_final
2014-09-04 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-03_final
2014-09-06 09:16:14	ga_ls8c_ard_3-0-0_089089_2014-09-05_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_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
2014-10-08 09:16:18	ga_ls8c_ard_3-0-0_089089_2014-10-07_final
2014-10-13 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-10-13_final
2014-10-15 09:22:07	ga_ls8c_ard_3-0-0_090088_2014-10-14_final
2014-10-15 09:22:31	ga_ls8c_ard_3-0-0_090089_2014-10-14_final
2014-10-20 09:40:40	ga_ls8c_ard_3-0-0_093088_2014-10-20_final
2014-10-22 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-10-21_final
2014-10-22 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-10-21_final
2014-10-24 09:16:20	ga_ls8c_ard_3-0-0_089089_2014-10-23_final
2014-10-29 09:34:25	ga_ls8c_ard_3-0-0_092088_2014-10-29_final
2014-10-29 09:34:49	ga_ls8c_ard_3-0-0_092089_2014-10-29_final
2014-10-31 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-10-30_final
2014-10-31 09:22:27	ga_ls8c_ard_3-0-0_090089_2014-10-30_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 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-11-14_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
2014-11-25 09:16:17	ga_ls8c_ard_3-0-0_089089_2014-11-24_final
2014-11-30 09:34:27	ga_ls8c_ard_3-0-0_092088_2014-11-30_final
2014-11-30 09:34:51	ga_ls8c_ard_3-0-0_092089_2014-11-30_final
2014-12-02 09:22:05	ga_ls8c_ard_3-0-0_090088_2014-12-01_final
2014-12-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2014-12-01_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:28:34	ga_ls8c_ard_3-0-0_091089_2014-12-24_final
2014-12-27 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-26_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2016-12-23 09:22:07	ga_ls8c_ard_3-0-0_090088_2016-12-22_final
2016-12-23 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-12-22_final
2017-02-23 09:34:09	ga_ls8c_ard_3-0-0_092088_2017-02-23_final
2017-02-23 09:34:33	ga_ls8c_ard_3-0-0_092089_2017-02-23_final
2017-02-25 09:21:46	ga_ls8c_ard_3-0-0_090088_2017-02-24_final
2017-02-25 09:22:10	ga_ls8c_ard_3-0-0_090089_2017-02-24_final
2019-02-02 09:52:33	ga_ls8c_ard_3-0-0_095088_2019-02-02_final
2019-02-04 09:40:12	ga_ls8c_ard_3-0-0_093088_2019-02-04_final
2019-02-06 09:28:14	ga_ls8c_ard_3-0-0_091089_2019-02-05_final
2019-02-20 09:40:09	ga_ls8c_ard_3-0-0_093088_2019-02-20_final
2019-02-22 09:28:11	ga_ls8c_ard_3-0-0_091089_2019-02-21_final
2019-02-24 09:15:25	ga_ls8c_ard_3-0-0_089088_2019-02-23_final
2019-02-24 09:15:49	ga_ls8c_ard_3-0-0_089089_2019-02-23_final
2019-03-24 09:40:00	ga_ls8c_ard_3-1-0_093088_2019-03-24_final
2019-03-26 09:28:02	ga_ls8c_ard_3-1-0_091089_2019-03-25_final
2019-03-28 09:15:16	ga_ls8c_ard_3-1-0_089088_2019-03-27_final
2019-03-28 09:15:40	ga_ls8c_ard_3-1-0_089089_2019-03-27_final
2019-04-02 09:34:11	ga_ls8c_ard_3-1-0_092089_2019-04-02_final
2019-04-04 09:21:49	ga_ls8c_ard_3-1-0_090089_2019-04-03_final
2019-04-13 09:15:11	ga_ls8c_ard_3-1-0_089088_2019-04-12_final
2019-04-13 09:15:35	ga_ls8c_ard_3-1-0_089089_2019-04-12_final
2019-05-04 09:33:41	ga_ls8c_ard_3-0-0_092088_2019-05-04_final
2019-05-04 09:34:05	ga_ls8c_ard_3-0-0_092089_2019-05-04_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_final
2019-05-06 09:21:45	ga_ls8c_ard_3-0-0_090089_2019-05-05_final
2019-05-09 09:52:18	ga_ls8c_ard_3-0-0_095088_2019-05-09_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-15 09:15:41	ga_ls8c_ard_3-0-0_089089_2019-05-14_final
2019-05-22 09:21:32	ga_ls8c_ard_3-0-0_090088_2019-05-21_final
2019-05-22 09:21:56	ga_ls8c_ard_3-0-0_090089_2019-05-21_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_final
2019-05-31 09:15:50	ga_ls8c_ard_3-0-0_089089_2019-05-30_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-06-23 09:21:45	ga_ls8c_ard_3-1-0_090088_2019-06-22_final
2019-06-23 09:22:09	ga_ls8c_ard_3-1-0_090089_2019-06-22_final
2019-06-26 09:52:40	ga_ls8c_ard_3-1-0_095088_2019-06-26_final
2019-06-28 09:40:19	ga_ls8c_ard_3-1-0_093088_2019-06-28_final
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_final
2019-07-02 09:15:37	ga_ls8c_ard_3-1-0_089088_2019-07-01_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-30 09:40:28	ga_ls8c_ard_3-1-0_093088_2019-07-30_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-13 09:52:55	ga_ls8c_ard_3-1-0_095088_2019-08-13_final
2019-08-31 09:40:38	ga_ls8c_ard_3-1-0_093088_2019-08-31_final
2019-09-02 09:28:16	ga_ls8c_ard_3-1-0_091088_2019-09-01_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-16 09:40:43	ga_ls8c_ard_3-1-0_093088_2019-09-16_final
2019-09-18 09:28:22	ga_ls8c_ard_3-1-0_091088_2019-09-17_final
2019-09-18 09:28:46	ga_ls8c_ard_3-1-0_091089_2019-09-17_final
2019-10-16 09:53:11	ga_ls8c_ard_3-1-0_095088_2019-10-16_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-11-26 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-11-26_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