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
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-08-03 09:28:27	ga_ls8c_ard_3-0-0_091089_2014-08-02_final
2014-08-17 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-08-17_final
2014-08-19 09:28:08	ga_ls8c_ard_3-0-0_091088_2014-08-18_final
2014-08-19 09:28:32	ga_ls8c_ard_3-0-0_091089_2014-08-18_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
2014-10-13 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-10-13_final
2014-10-15 09:22:31	ga_ls8c_ard_3-0-0_090089_2014-10-14_final
2014-10-24 09:16:20	ga_ls8c_ard_3-0-0_089089_2014-10-23_final
2014-11-05 09:40:39	ga_ls8c_ard_3-0-0_093088_2014-11-05_final
2014-11-21 09:40:35	ga_ls8c_ard_3-0-0_093088_2014-11-21_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
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-03 09:35:00	ga_ls8c_ard_3-0-0_092089_2016-11-03_final
2016-11-05 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-04_final
2016-11-05 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-04_final
2016-12-03 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-12-03_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_final
2016-12-05 09:34:58	ga_ls8c_ard_3-0-0_092089_2016-12-05_final
2016-12-07 09:22:12	ga_ls8c_ard_3-0-0_090088_2016-12-06_final
2016-12-07 09:22:36	ga_ls8c_ard_3-0-0_090089_2016-12-06_final
2017-01-08 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-01-07_final
2017-01-08 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-01-07_final
2017-02-07 09:34:38	ga_ls8c_ard_3-0-0_092089_2017-02-07_final
2017-02-09 09:22:15	ga_ls8c_ard_3-0-0_090089_2017-02-08_final
2017-02-16 09:28:24	ga_ls8c_ard_3-0-0_091089_2017-02-15_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
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_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
2020-01-17 09:22:03	ga_ls8c_ard_3-1-0_090088_2020-01-16_final
2020-01-17 09:22:27	ga_ls8c_ard_3-1-0_090089_2020-01-16_final
2020-02-11 09:15:45	ga_ls8c_ard_3-1-0_089088_2020-02-10_final
2020-02-11 09:16:09	ga_ls8c_ard_3-1-0_089089_2020-02-10_final
2020-03-19 09:34:04	ga_ls8c_ard_3-1-0_092088_2020-03-19_final
2020-03-19 09:34:28	ga_ls8c_ard_3-1-0_092089_2020-03-19_final
2020-04-09 09:52:26	ga_ls8c_ard_3-1-0_095088_2020-04-09_final
2020-04-15 09:15:42	ga_ls8c_ard_3-1-0_089089_2020-04-14_final
2020-05-01 09:15:10	ga_ls8c_ard_3-1-0_089088_2020-04-30_final
2020-05-01 09:15:34	ga_ls8c_ard_3-1-0_089089_2020-04-30_final
2020-05-29 09:39:53	ga_ls8c_ard_3-1-0_093088_2020-05-29_final
2020-05-31 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-05-30_final
2020-06-02 09:15:13	ga_ls8c_ard_3-1-0_089088_2020-06-01_final
2020-06-02 09:15:37	ga_ls8c_ard_3-1-0_089089_2020-06-01_final
2020-06-09 09:21:28	ga_ls8c_ard_3-1-0_090088_2020-06-08_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final
2020-06-25 09:21:37	ga_ls8c_ard_3-1-0_090088_2020-06-24_final
2020-06-25 09:22:01	ga_ls8c_ard_3-1-0_090089_2020-06-24_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-07-04 09:15:54	ga_ls8c_ard_3-1-0_089089_2020-07-03_final
2020-07-11 09:21:44	ga_ls8c_ard_3-1-0_090088_2020-07-10_final
2020-07-11 09:22:08	ga_ls8c_ard_3-1-0_090089_2020-07-10_final
2020-07-23 09:46:31	ga_ls8c_ard_3-1-0_094088_2020-07-23_final
2020-07-25 09:34:10	ga_ls8c_ard_3-1-0_092088_2020-07-25_final
2020-07-25 09:34:34	ga_ls8c_ard_3-1-0_092089_2020-07-25_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-08-03 09:28:25	ga_ls8c_ard_3-1-0_091089_2020-08-02_final
2020-08-10 09:34:13	ga_ls8c_ard_3-1-0_092088_2020-08-10_final
2020-08-10 09:34:37	ga_ls8c_ard_3-1-0_092089_2020-08-10_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2020-08-12 09:22:16	ga_ls8c_ard_3-1-0_090089_2020-08-11_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-08-26 09:34:21	ga_ls8c_ard_3-1-0_092088_2020-08-26_final
2020-08-26 09:34:45	ga_ls8c_ard_3-1-0_092089_2020-08-26_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-08-28 09:22:25	ga_ls8c_ard_3-1-0_090089_2020-08-27_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-06 09:16:18	ga_ls8c_ard_3-1-0_089089_2020-09-05_final
2020-09-22 09:15:59	ga_ls8c_ard_3-1-0_089088_2020-09-21_final
2020-09-22 09:16:23	ga_ls8c_ard_3-1-0_089089_2020-09-21_final
2020-09-25 09:46:54	ga_ls8c_ard_3-1-0_094088_2020-09-25_final
2020-09-27 09:34:33	ga_ls8c_ard_3-1-0_092088_2020-09-27_final
2020-09-27 09:34:57	ga_ls8c_ard_3-1-0_092089_2020-09-27_final
2020-10-04 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-10-04_final
2020-10-08 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-07_final
2020-10-08 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-07_final
2020-10-11 09:46:56	ga_ls8c_ard_3-1-0_094088_2020-10-11_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-24 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-23_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-10-27 09:46:56	ga_ls8c_ard_3-1-0_094088_2020-10-27_final
2020-10-29 09:34:34	ga_ls8c_ard_3-1-0_092088_2020-10-29_final
2020-10-29 09:34:58	ga_ls8c_ard_3-1-0_092089_2020-10-29_final
2020-11-23 09:28:47	ga_ls8c_ard_3-1-0_091089_2020-11-22_final
2020-11-25 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-11-24_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-30 09:34:36	ga_ls8c_ard_3-1-0_092088_2020-11-30_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
2021-01-03 09:22:09	ga_ls8c_ard_3-2-0_090088_2021-01-02_final
2021-01-03 09:22:33	ga_ls8c_ard_3-2-0_090089_2021-01-02_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