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
2015-07-19 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
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_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
2015-09-07 09:28:19	ga_ls8c_ard_3-0-0_091089_2015-09-06_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
2015-11-24 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
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
2016-06-10 09:46:18	ga_ls8c_ard_3-0-0_094088_2016-06-10_final
2016-06-12 09:33:56	ga_ls8c_ard_3-0-0_092088_2016-06-12_final
2016-06-12 09:34:20	ga_ls8c_ard_3-0-0_092089_2016-06-12_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-06-21 09:27:49	ga_ls8c_ard_3-0-0_091088_2016-06-20_final
2016-06-21 09:28:13	ga_ls8c_ard_3-0-0_091089_2016-06-20_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
2016-07-14 09:34:12	ga_ls8c_ard_3-0-0_092088_2016-07-14_final
2016-07-14 09:34:36	ga_ls8c_ard_3-0-0_092089_2016-07-14_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-07-16 09:22:15	ga_ls8c_ard_3-0-0_090089_2016-07-15_final
2016-07-19 09:52:46	ga_ls8c_ard_3-0-0_095088_2016-07-19_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_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
2016-08-24 09:28:12	ga_ls8c_ard_3-0-0_091088_2016-08-23_final
2016-08-24 09:28:36	ga_ls8c_ard_3-0-0_091089_2016-08-23_final
2016-08-26 09:15:51	ga_ls8c_ard_3-0-0_089088_2016-08-25_final
2016-08-26 09:16:15	ga_ls8c_ard_3-0-0_089089_2016-08-25_final
2016-08-29 09:46:47	ga_ls8c_ard_3-0-0_094088_2016-08-29_final
2016-08-31 09:34:26	ga_ls8c_ard_3-0-0_092088_2016-08-31_final
2016-08-31 09:34:50	ga_ls8c_ard_3-0-0_092089_2016-08-31_final
2016-09-09 09:28:17	ga_ls8c_ard_3-0-0_091088_2016-09-08_final
2016-09-09 09:28:41	ga_ls8c_ard_3-0-0_091089_2016-09-08_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
2016-09-30 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-30_final
2016-10-02 09:34:30	ga_ls8c_ard_3-0-0_092088_2016-10-02_final
2016-10-02 09:34:54	ga_ls8c_ard_3-0-0_092089_2016-10-02_final
2016-10-04 09:22:09	ga_ls8c_ard_3-0-0_090088_2016-10-03_final
2016-10-04 09:22:33	ga_ls8c_ard_3-0-0_090089_2016-10-03_final
2016-10-07 09:53:04	ga_ls8c_ard_3-0-0_095088_2016-10-07_final
2016-11-21 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-20_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2017-04-23 09:15:05	ga_ls8c_ard_3-0-0_089088_2017-04-22_final
2017-04-23 09:15:29	ga_ls8c_ard_3-0-0_089089_2017-04-22_final
2017-05-09 09:15:04	ga_ls8c_ard_3-0-0_089088_2017-05-08_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2017-09-24 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-09-24_final
2017-09-30 09:15:56	ga_ls8c_ard_3-0-0_089088_2017-09-29_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-10-19 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-10-19_final
2017-10-21 09:34:33	ga_ls8c_ard_3-0-0_092088_2017-10-21_final
2017-10-21 09:34:57	ga_ls8c_ard_3-0-0_092089_2017-10-21_final
2017-11-01 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-31_final
2017-11-01 09:16:24	ga_ls8c_ard_3-0-0_089089_2017-10-31_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-20 09:46:50	ga_ls8c_ard_3-0-0_094088_2017-11-20_final
2017-11-22 09:34:27	ga_ls8c_ard_3-0-0_092088_2017-11-22_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_final
2017-12-03 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-12-02_final
2017-12-06 09:46:45	ga_ls8c_ard_3-0-0_094088_2017-12-06_final
2017-12-08 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-12-08_final
2017-12-08 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-12-08_final
2018-01-16 09:40:28	ga_ls8c_ard_3-0-0_093088_2018-01-16_final
2018-01-18 09:28:06	ga_ls8c_ard_3-0-0_091088_2018-01-17_final
2018-01-18 09:28:30	ga_ls8c_ard_3-0-0_091089_2018-01-17_final
2022-01-27 09:40:34	ga_ls8c_ard_3-2-1_093088_2022-01-27_final
2022-01-29 09:28:12	ga_ls8c_ard_3-2-1_091088_2022-01-28_final
2022-01-29 09:28:36	ga_ls8c_ard_3-2-1_091089_2022-01-28_final
2022-01-31 09:15:51	ga_ls8c_ard_3-2-1_089088_2022-01-30_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-05 09:34:23	ga_ls8c_ard_3-2-1_092088_2022-02-05_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-07 09:22:01	ga_ls8c_ard_3-2-1_090088_2022-02-06_final
2022-02-07 09:22:25	ga_ls8c_ard_3-2-1_090089_2022-02-06_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
2022-06-29 09:34:29	ga_ls8c_ard_3-2-1_092088_2022-06-29_final
2022-06-29 09:34:53	ga_ls8c_ard_3-2-1_092089_2022-06-29_final
2022-07-01 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-06-30_final
2022-07-01 09:22:32	ga_ls8c_ard_3-2-1_090089_2022-06-30_final
2022-07-08 09:28:19	ga_ls8c_ard_3-2-1_091088_2022-07-07_final
2022-07-08 09:28:43	ga_ls8c_ard_3-2-1_091089_2022-07-07_final
2022-07-22 09:40:44	ga_ls8c_ard_3-2-1_093088_2022-07-22_final
2022-07-24 09:28:24	ga_ls8c_ard_3-2-1_091088_2022-07-23_final
2022-07-24 09:28:48	ga_ls8c_ard_3-2-1_091089_2022-07-23_final
2022-07-26 09:16:04	ga_ls8c_ard_3-2-1_089088_2022-07-25_final
2022-07-26 09:16:28	ga_ls8c_ard_3-2-1_089089_2022-07-25_final
2022-07-31 09:34:40	ga_ls8c_ard_3-2-1_092088_2022-07-31_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