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
2015-01-17 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-17_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-01-24 09:40:22	ga_ls8c_ard_3-0-0_093088_2015-01-24_final
2015-01-26 09:28:01	ga_ls8c_ard_3-0-0_091088_2015-01-25_final
2015-02-02 09:34:12	ga_ls8c_ard_3-0-0_092088_2015-02-02_final
2015-02-09 09:40:19	ga_ls8c_ard_3-0-0_093088_2015-02-09_final
2015-02-20 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-02-19_final
2015-03-01 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-02-28_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2015-03-08 09:21:34	ga_ls8c_ard_3-0-0_090088_2015-03-07_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-03-29 09:39:54	ga_ls8c_ard_3-0-0_093088_2015-03-29_final
2015-03-31 09:27:30	ga_ls8c_ard_3-0-0_091088_2015-03-30_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2015-04-07 09:33:37	ga_ls8c_ard_3-0-0_092088_2015-04-07_final
2015-04-09 09:21:16	ga_ls8c_ard_3-0-0_090088_2015-04-08_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2015-04-21 09:45:58	ga_ls8c_ard_3-0-0_094088_2015-04-21_final
2015-04-23 09:33:36	ga_ls8c_ard_3-0-0_092088_2015-04-23_final
2015-04-25 09:21:13	ga_ls8c_ard_3-0-0_090088_2015-04-24_final
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-05-07 09:45:43	ga_ls8c_ard_3-0-0_094088_2015-05-07_final
2015-05-09 09:33:20	ga_ls8c_ard_3-0-0_092088_2015-05-09_final
2015-05-11 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-10_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-25 09:33:19	ga_ls8c_ard_3-0-0_092088_2015-05-25_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-08 09:45:50	ga_ls8c_ard_3-0-0_094088_2015-06-08_final
2015-06-10 09:33:29	ga_ls8c_ard_3-0-0_092088_2015-06-10_final
2015-06-12 09:21:09	ga_ls8c_ard_3-0-0_090088_2015-06-11_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-28 09:21:15	ga_ls8c_ard_3-0-0_090088_2015-06-27_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-05 09:27:31	ga_ls8c_ard_3-0-0_091088_2015-07-04_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-07-21 09:27:39	ga_ls8c_ard_3-0-0_091088_2015-07-20_final
2015-07-23 09:15:18	ga_ls8c_ard_3-0-0_089088_2015-07-22_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-20 09:40:11	ga_ls8c_ard_3-0-0_093088_2015-08-20_final
2015-08-22 09:27:50	ga_ls8c_ard_3-0-0_091088_2015-08-21_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2015-09-07 09:27:55	ga_ls8c_ard_3-0-0_091088_2015-09-06_final
2015-09-09 09:15:35	ga_ls8c_ard_3-0-0_089088_2015-09-08_final
2015-09-14 09:34:10	ga_ls8c_ard_3-0-0_092088_2015-09-14_final
2015-09-16 09:21:50	ga_ls8c_ard_3-0-0_090088_2015-09-15_final
2015-09-21 09:40:24	ga_ls8c_ard_3-0-0_093088_2015-09-21_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-09-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2015-09-24_final
2015-10-27 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-10-26_final
2015-11-24 09:40:35	ga_ls8c_ard_3-0-0_093088_2015-11-24_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-28 09:15:52	ga_ls8c_ard_3-0-0_089088_2015-11-27_final
2015-12-01 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-01_final
2016-01-18 09:46:42	ga_ls8c_ard_3-0-0_094088_2016-01-18_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2016-01-29 09:28:08	ga_ls8c_ard_3-0-0_091088_2016-01-28_final
2016-04-27 09:21:26	ga_ls8c_ard_3-0-0_090088_2016-04-26_final
2016-04-30 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-30_final
2016-06-01 09:52:27	ga_ls8c_ard_3-0-0_095088_2016-06-01_final
2016-06-03 09:40:06	ga_ls8c_ard_3-0-0_093088_2016-06-03_final
2016-06-23 09:15:29	ga_ls8c_ard_3-0-0_089088_2016-06-22_final
2016-07-03 09:52:39	ga_ls8c_ard_3-0-0_095088_2016-07-03_final
2016-07-05 09:40:19	ga_ls8c_ard_3-0-0_093088_2016-07-05_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-07-19 09:52:46	ga_ls8c_ard_3-0-0_095088_2016-07-19_final
2016-07-21 09:40:25	ga_ls8c_ard_3-0-0_093088_2016-07-21_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-07-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2016-07-24_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_final
2016-08-10 09:15:44	ga_ls8c_ard_3-0-0_089088_2016-08-09_final
2016-08-20 09:52:54	ga_ls8c_ard_3-0-0_095088_2016-08-20_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-09-21 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-09-21_final
2016-09-23 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-09-23_final
2016-09-25 09:28:18	ga_ls8c_ard_3-0-0_091088_2016-09-24_final
2016-09-27 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-09-26_final
2016-10-04 09:22:09	ga_ls8c_ard_3-0-0_090088_2016-10-03_final
2016-10-07 09:53:04	ga_ls8c_ard_3-0-0_095088_2016-10-07_final
2016-10-11 09:28:23	ga_ls8c_ard_3-0-0_091088_2016-10-10_final
2016-10-13 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-10-12_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2019-07-05 09:46:32	ga_ls8c_ard_3-1-0_094088_2019-07-05_final
2019-07-07 09:34:10	ga_ls8c_ard_3-1-0_092088_2019-07-07_final
2019-07-14 09:40:22	ga_ls8c_ard_3-1-0_093088_2019-07-14_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-08-19 09:15:52	ga_ls8c_ard_3-1-0_089088_2019-08-18_final
2019-09-23 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-09-23_final
2019-10-02 09:40:47	ga_ls8c_ard_3-1-0_093088_2019-10-02_final
2019-10-04 09:28:26	ga_ls8c_ard_3-1-0_091088_2019-10-03_final
2019-11-10 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-11-10_final
2019-11-19 09:40:45	ga_ls8c_ard_3-1-0_093088_2019-11-19_final
2019-11-21 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-11-20_final
2022-04-26 09:34:02	ga_ls8c_ard_3-2-1_092088_2022-04-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-05-05 09:27:54	ga_ls8c_ard_3-2-1_091088_2022-05-04_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