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
2015-01-28 09:16:04	ga_ls8c_ard_3-0-0_089089_2015-01-27_final
2015-03-17 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-03-16_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
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-12 09:21:09	ga_ls8c_ard_3-0-0_090088_2015-06-11_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-06-24 09:45:56	ga_ls8c_ard_3-0-0_094088_2015-06-24_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
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-13 09:33:56	ga_ls8c_ard_3-0-0_092088_2015-08-13_final
2015-08-13 09:34:20	ga_ls8c_ard_3-0-0_092089_2015-08-13_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_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
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-10-05 09:52:48	ga_ls8c_ard_3-0-0_095088_2015-10-05_final
2015-10-07 09:40:27	ga_ls8c_ard_3-0-0_093088_2015-10-07_final
2015-10-09 09:28:05	ga_ls8c_ard_3-0-0_091088_2015-10-08_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_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
2015-10-21 09:52:51	ga_ls8c_ard_3-0-0_095088_2015-10-21_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-08 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-11-08_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_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
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-12-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-12-10_final
2015-12-12 09:28:11	ga_ls8c_ard_3-0-0_091088_2015-12-11_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2016-01-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-11_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-01-13 09:28:33	ga_ls8c_ard_3-0-0_091089_2016-01-12_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
2016-01-29 09:28:32	ga_ls8c_ard_3-0-0_091089_2016-01-28_final
2016-05-02 09:40:03	ga_ls8c_ard_3-0-0_093088_2016-05-02_final
2016-05-04 09:27:42	ga_ls8c_ard_3-0-0_091088_2016-05-03_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2017-09-17 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-09-17_final
2017-09-19 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-09-19_final
2017-09-19 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-09-19_final
2017-10-03 09:46:51	ga_ls8c_ard_3-0-0_094088_2017-10-03_final
2017-10-05 09:34:30	ga_ls8c_ard_3-0-0_092088_2017-10-05_final
2017-10-05 09:34:54	ga_ls8c_ard_3-0-0_092089_2017-10-05_final
2017-10-10 09:53:04	ga_ls8c_ard_3-0-0_095088_2017-10-10_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-10-23 09:22:35	ga_ls8c_ard_3-0-0_090089_2017-10-22_final
2017-12-31 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-12-31_final
2018-01-02 09:28:13	ga_ls8c_ard_3-0-0_091088_2018-01-01_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2022-02-21 09:34:17	ga_ls8c_ard_3-2-1_092088_2022-02-21_final
2022-02-21 09:34:41	ga_ls8c_ard_3-2-1_092089_2022-02-21_final
2022-02-23 09:21:55	ga_ls8c_ard_3-2-1_090088_2022-02-22_final
2022-02-23 09:22:19	ga_ls8c_ard_3-2-1_090089_2022-02-22_final
2022-03-04 09:15:43	ga_ls8c_ard_3-2-1_089088_2022-03-03_final
2022-03-04 09:16:07	ga_ls8c_ard_3-2-1_089089_2022-03-03_final
2022-03-09 09:34:14	ga_ls8c_ard_3-2-1_092088_2022-03-09_final
2022-03-09 09:34:38	ga_ls8c_ard_3-2-1_092089_2022-03-09_final
2022-03-11 09:21:52	ga_ls8c_ard_3-2-1_090088_2022-03-10_final
2022-03-11 09:22:16	ga_ls8c_ard_3-2-1_090089_2022-03-10_final
2022-03-25 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-03-25_final
2022-03-25 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-03-25_final
2022-03-27 09:21:40	ga_ls8c_ard_3-2-1_090088_2022-03-26_final
2022-03-27 09:22:04	ga_ls8c_ard_3-2-1_090089_2022-03-26_final
2022-04-01 09:40:10	ga_ls8c_ard_3-2-1_093088_2022-04-01_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-04-28 09:22:03	ga_ls8c_ard_3-2-1_090089_2022-04-27_final
2022-05-03 09:40:14	ga_ls8c_ard_3-2-1_093088_2022-05-03_final
2022-05-05 09:27:54	ga_ls8c_ard_3-2-1_091088_2022-05-04_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_final
2022-05-07 09:15:58	ga_ls8c_ard_3-2-1_089089_2022-05-06_final
2022-05-14 09:21:49	ga_ls8c_ard_3-2-1_090088_2022-05-13_final
2022-05-14 09:22:13	ga_ls8c_ard_3-2-1_090089_2022-05-13_final
2022-05-19 09:40:22	ga_ls8c_ard_3-2-1_093088_2022-05-19_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-05-28 09:34:34	ga_ls8c_ard_3-2-1_092089_2022-05-28_final
2022-05-30 09:21:51	ga_ls8c_ard_3-2-1_090088_2022-05-29_final
2022-05-30 09:22:15	ga_ls8c_ard_3-2-1_090089_2022-05-29_final
2022-06-04 09:40:28	ga_ls8c_ard_3-2-1_093088_2022-06-04_final
2022-06-06 09:28:08	ga_ls8c_ard_3-2-1_091088_2022-06-05_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-06-08 09:15:48	ga_ls8c_ard_3-2-1_089088_2022-06-07_final
2022-06-08 09:16:12	ga_ls8c_ard_3-2-1_089089_2022-06-07_final
2022-07-06 09:40:40	ga_ls8c_ard_3-2-1_093088_2022-07-06_final
2022-07-08 09:28:19	ga_ls8c_ard_3-2-1_091088_2022-07-07_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