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
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-04-30 09:39:41	ga_ls8c_ard_3-0-0_093088_2015-04-30_final
2015-05-16 09:39:02	ga_ls8c_ard_3-0-0_093087_2015-05-16_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-06-10 09:33:05	ga_ls8c_ard_3-0-0_092087_2015-06-10_final
2015-06-10 09:33:29	ga_ls8c_ard_3-0-0_092088_2015-06-10_final
2015-06-12 09:20:45	ga_ls8c_ard_3-0-0_090087_2015-06-11_final
2015-06-12 09:21:09	ga_ls8c_ard_3-0-0_090088_2015-06-11_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-06-26 09:33:34	ga_ls8c_ard_3-0-0_092088_2015-06-26_final
2015-07-28 09:33:28	ga_ls8c_ard_3-0-0_092087_2015-07-28_final
2015-07-28 09:33:51	ga_ls8c_ard_3-0-0_092088_2015-07-28_final
2015-07-30 09:21:06	ga_ls8c_ard_3-0-0_090087_2015-07-29_final
2015-07-30 09:21:30	ga_ls8c_ard_3-0-0_090088_2015-07-29_final
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-11-26 09:40:46	ga_ls8c_ard_3-0-0_093088_2016-11-26_final
2016-12-03 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-12-03_final
2016-12-03 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-12-03_final
2016-12-05 09:34:10	ga_ls8c_ard_3-0-0_092087_2016-12-05_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_final
2016-12-10 09:52:41	ga_ls8c_ard_3-0-0_095087_2016-12-10_final
2016-12-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-12-12_final
2016-12-16 09:15:34	ga_ls8c_ard_3-0-0_089087_2016-12-15_final
2016-12-16 09:15:58	ga_ls8c_ard_3-0-0_089088_2016-12-15_final
2016-12-19 09:46:27	ga_ls8c_ard_3-0-0_094087_2016-12-19_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2016-12-28 09:40:16	ga_ls8c_ard_3-0-0_093087_2016-12-28_final
2016-12-28 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-12-28_final
2017-01-04 09:46:25	ga_ls8c_ard_3-0-0_094087_2017-01-04_final
2017-01-04 09:46:49	ga_ls8c_ard_3-0-0_094088_2017-01-04_final
2017-01-06 09:34:27	ga_ls8c_ard_3-0-0_092088_2017-01-06_final
2017-01-11 09:52:34	ga_ls8c_ard_3-0-0_095087_2017-01-11_final
2017-01-11 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-01-11_final
2017-01-13 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-01-13_final
2017-01-15 09:28:14	ga_ls8c_ard_3-0-0_091088_2017-01-14_final
2017-01-17 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-01-16_final
2017-01-17 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-01-16_final
2017-01-18 09:58:43	ga_ls8c_ard_3-0-0_096087_2017-01-18_final
2017-01-20 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-01-20_final
2017-01-22 09:34:22	ga_ls8c_ard_3-0-0_092088_2017-01-22_final
2017-01-24 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-01-23_final
2017-01-27 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-01-27_final
2017-01-29 09:40:06	ga_ls8c_ard_3-0-0_093087_2017-01-29_final
2017-01-29 09:40:30	ga_ls8c_ard_3-0-0_093088_2017-01-29_final
2017-02-02 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-02-01_final
2017-02-12 09:52:20	ga_ls8c_ard_3-0-0_095087_2017-02-12_final
2017-02-12 09:52:44	ga_ls8c_ard_3-0-0_095088_2017-02-12_final
2017-02-14 09:40:22	ga_ls8c_ard_3-0-0_093088_2017-02-14_final
2017-02-21 09:46:31	ga_ls8c_ard_3-0-0_094088_2017-02-21_final
2017-02-28 09:52:39	ga_ls8c_ard_3-0-0_095088_2017-02-28_final
2017-03-02 09:40:17	ga_ls8c_ard_3-0-0_093088_2017-03-02_final
2017-03-06 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-03-05_final
2017-03-06 09:15:31	ga_ls8c_ard_3-0-0_089088_2017-03-05_final
2017-03-07 09:58:22	ga_ls8c_ard_3-0-0_096087_2017-03-07_final
2017-03-16 09:52:30	ga_ls8c_ard_3-0-0_095088_2017-03-16_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-06-13 09:14:34	ga_ls8c_ard_3-0-0_089088_2018-06-12_final
2018-06-18 09:32:46	ga_ls8c_ard_3-0-0_092087_2018-06-18_final
2018-06-18 09:33:10	ga_ls8c_ard_3-0-0_092088_2018-06-18_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-20 09:20:50	ga_ls8c_ard_3-0-0_090088_2018-06-19_final
2018-06-23 09:51:22	ga_ls8c_ard_3-0-0_095087_2018-06-23_final
2018-06-23 09:51:46	ga_ls8c_ard_3-0-0_095088_2018-06-23_final
2018-06-25 09:39:02	ga_ls8c_ard_3-0-0_093087_2018-06-25_final
2018-06-25 09:39:26	ga_ls8c_ard_3-0-0_093088_2018-06-25_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-07-09 09:51:31	ga_ls8c_ard_3-0-0_095087_2018-07-09_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-11 09:39:10	ga_ls8c_ard_3-0-0_093087_2018-07-11_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-15 09:14:29	ga_ls8c_ard_3-0-0_089087_2018-07-14_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-07-31 09:15:00	ga_ls8c_ard_3-0-0_089088_2018-07-30_final
2018-08-16 09:14:45	ga_ls8c_ard_3-0-0_089087_2018-08-15_final
2018-08-16 09:15:09	ga_ls8c_ard_3-0-0_089088_2018-08-15_final
2018-08-21 09:33:20	ga_ls8c_ard_3-0-0_092087_2018-08-21_final
2018-08-21 09:33:44	ga_ls8c_ard_3-0-0_092088_2018-08-21_final
2018-08-23 09:20:59	ga_ls8c_ard_3-0-0_090087_2018-08-22_final
2018-08-23 09:21:23	ga_ls8c_ard_3-0-0_090088_2018-08-22_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2018-09-01 09:15:16	ga_ls8c_ard_3-0-0_089088_2018-08-31_final
2020-03-12 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-03-11_final
2020-04-09 09:52:26	ga_ls8c_ard_3-1-0_095088_2020-04-09_final
2020-04-11 09:40:03	ga_ls8c_ard_3-1-0_093088_2020-04-11_final
2020-05-06 09:33:40	ga_ls8c_ard_3-1-0_092088_2020-05-06_final
2020-05-08 09:21:17	ga_ls8c_ard_3-1-0_090088_2020-05-07_final
2020-06-12 09:52:00	ga_ls8c_ard_3-1-0_095087_2020-06-12_final
2020-06-12 09:52:24	ga_ls8c_ard_3-1-0_095088_2020-06-12_final
2020-06-14 09:39:40	ga_ls8c_ard_3-1-0_093087_2020-06-14_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2023-07-20 09:21:11	ga_ls8c_ard_3-2-1_090087_2023-07-19_final
2023-07-20 09:21:35	ga_ls8c_ard_3-2-1_090088_2023-07-19_final
2023-07-23 09:52:07	ga_ls8c_ard_3-2-1_095087_2023-07-23_final
2023-07-27 09:27:28	ga_ls8c_ard_3-2-1_091087_2023-07-26_final
2023-07-27 09:27:52	ga_ls8c_ard_3-2-1_091088_2023-07-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years