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
2015-02-09 09:40:19	ga_ls8c_ard_3-0-0_093088_2015-02-09_final
2015-02-20 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-02-19_final
2015-02-20 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-02-19_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2015-04-25 09:21:13	ga_ls8c_ard_3-0-0_090088_2015-04-24_final
2015-05-07 09:45:19	ga_ls8c_ard_3-0-0_094087_2015-05-07_final
2015-05-07 09:45:43	ga_ls8c_ard_3-0-0_094088_2015-05-07_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_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
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-07-10 09:45:43	ga_ls8c_ard_3-0-0_094087_2015-07-10_final
2015-07-10 09:46:07	ga_ls8c_ard_3-0-0_094088_2015-07-10_final
2015-07-26 09:45:49	ga_ls8c_ard_3-0-0_094087_2015-07-26_final
2015-07-26 09:46:13	ga_ls8c_ard_3-0-0_094088_2015-07-26_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
2015-08-29 09:33:39	ga_ls8c_ard_3-0-0_092087_2015-08-29_final
2015-08-29 09:34:03	ga_ls8c_ard_3-0-0_092088_2015-08-29_final
2015-09-12 09:46:07	ga_ls8c_ard_3-0-0_094087_2015-09-12_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-10-02 09:21:30	ga_ls8c_ard_3-0-0_090087_2015-10-01_final
2015-10-02 09:21:54	ga_ls8c_ard_3-0-0_090088_2015-10-01_final
2015-10-25 09:27:45	ga_ls8c_ard_3-0-0_091087_2015-10-24_final
2015-10-25 09:28:09	ga_ls8c_ard_3-0-0_091088_2015-10-24_final
2015-10-30 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-10-30_final
2015-10-30 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-10-30_final
2015-11-01 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-01_final
2015-11-01 09:34:22	ga_ls8c_ard_3-0-0_092088_2015-11-01_final
2015-11-06 09:52:30	ga_ls8c_ard_3-0-0_095087_2015-11-06_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-08 09:40:09	ga_ls8c_ard_3-0-0_093087_2015-11-08_final
2015-11-08 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-11-08_final
2015-11-15 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-11-15_final
2015-11-15 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-11-15_final
2018-03-03 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-03-03_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-16 09:21:27	ga_ls8c_ard_3-0-0_090088_2018-03-15_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-04-20 09:52:03	ga_ls8c_ard_3-0-0_095088_2018-04-20_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-06-04 09:20:16	ga_ls8c_ard_3-0-0_090087_2018-06-03_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-07 09:51:35	ga_ls8c_ard_3-0-0_095088_2018-06-07_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
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2018-07-18 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-07-18_final
2019-12-14 09:34:09	ga_ls8c_ard_3-2-0_092087_2019-12-14_final
2019-12-14 09:34:33	ga_ls8c_ard_3-2-0_092088_2019-12-14_final
2019-12-19 09:52:40	ga_ls8c_ard_3-2-0_095087_2019-12-19_final
2019-12-19 09:53:04	ga_ls8c_ard_3-2-0_095088_2019-12-19_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2019-12-25 09:15:58	ga_ls8c_ard_3-1-0_089088_2019-12-24_final
2019-12-26 09:58:49	ga_ls8c_ard_3-1-0_096087_2019-12-26_final
2020-01-01 09:21:43	ga_ls8c_ard_3-1-0_090087_2019-12-31_final
2020-01-01 09:22:06	ga_ls8c_ard_3-1-0_090088_2019-12-31_final
2020-01-04 09:52:36	ga_ls8c_ard_3-1-0_095087_2020-01-04_final
2020-01-04 09:53:00	ga_ls8c_ard_3-1-0_095088_2020-01-04_final
2020-01-06 09:40:38	ga_ls8c_ard_3-1-0_093088_2020-01-06_final
2020-01-08 09:28:16	ga_ls8c_ard_3-1-0_091088_2020-01-07_final
2020-01-22 09:40:10	ga_ls8c_ard_3-1-0_093087_2020-01-22_final
2020-01-22 09:40:34	ga_ls8c_ard_3-1-0_093088_2020-01-22_final
2020-01-24 09:27:48	ga_ls8c_ard_3-1-0_091087_2020-01-23_final
2020-01-24 09:28:12	ga_ls8c_ard_3-1-0_091088_2020-01-23_final
2020-02-02 09:21:34	ga_ls8c_ard_3-1-0_090087_2020-02-01_final
2020-02-02 09:21:58	ga_ls8c_ard_3-1-0_090088_2020-02-01_final
2020-02-07 09:40:05	ga_ls8c_ard_3-1-0_093087_2020-02-07_final
2020-02-07 09:40:29	ga_ls8c_ard_3-1-0_093088_2020-02-07_final
2020-02-09 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-02-08_final
2020-02-09 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-02-08_final
2020-02-14 09:46:15	ga_ls8c_ard_3-1-0_094087_2020-02-14_final
2020-02-14 09:46:39	ga_ls8c_ard_3-1-0_094088_2020-02-14_final
2020-02-16 09:34:17	ga_ls8c_ard_3-1-0_092088_2020-02-16_final
2020-02-23 09:40:26	ga_ls8c_ard_3-1-0_093088_2020-02-23_final
2020-02-25 09:28:03	ga_ls8c_ard_3-1-0_091088_2020-02-24_final
2020-03-01 09:46:10	ga_ls8c_ard_3-1-0_094087_2020-03-01_final
2020-03-01 09:46:34	ga_ls8c_ard_3-1-0_094088_2020-03-01_final
2020-03-03 09:34:12	ga_ls8c_ard_3-1-0_092088_2020-03-03_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-26 09:40:11	ga_ls8c_ard_3-1-0_093088_2020-03-26_final
2020-03-28 09:27:24	ga_ls8c_ard_3-1-0_091087_2020-03-27_final
2020-03-28 09:27:48	ga_ls8c_ard_3-1-0_091088_2020-03-27_final
2020-04-27 09:39:56	ga_ls8c_ard_3-1-0_093088_2020-04-27_final
2020-05-04 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-04_final
2020-05-04 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-04_final
2020-05-06 09:33:40	ga_ls8c_ard_3-1-0_092088_2020-05-06_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_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