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
2014-09-06 09:15:02	ga_ls8c_ard_3-0-0_089086_2014-09-05_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-10-04 09:39:49	ga_ls8c_ard_3-0-0_093086_2014-10-04_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-10-06 09:27:28	ga_ls8c_ard_3-0-0_091086_2014-10-05_final
2014-10-06 09:27:52	ga_ls8c_ard_3-0-0_091087_2014-10-05_final
2014-12-23 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-12-23_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2014-12-25 09:27:22	ga_ls8c_ard_3-0-0_091086_2014-12-24_final
2014-12-25 09:27:46	ga_ls8c_ard_3-0-0_091087_2014-12-24_final
2014-12-27 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-12-26_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-01 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-01_final
2015-01-03 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-01-02_final
2015-01-03 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-01-02_final
2015-04-25 09:20:49	ga_ls8c_ard_3-0-0_090087_2015-04-24_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-06-12 09:20:21	ga_ls8c_ard_3-0-0_090086_2015-06-11_final
2015-06-12 09:20:45	ga_ls8c_ard_3-0-0_090087_2015-06-11_final
2015-06-13 10:03:37	ga_ls8c_ard_3-0-0_097086_2015-06-13_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2017-04-17 09:51:50	ga_ls8c_ard_3-0-0_095087_2017-04-17_final
2017-04-28 09:32:46	ga_ls8c_ard_3-0-0_092086_2017-04-28_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-06-02 10:03:58	ga_ls8c_ard_3-0-0_097086_2017-06-02_final
2017-06-04 09:51:37	ga_ls8c_ard_3-0-0_095086_2017-06-04_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-07-20 10:04:13	ga_ls8c_ard_3-0-0_097086_2017-07-20_final
2017-07-22 09:51:53	ga_ls8c_ard_3-0-0_095086_2017-07-22_final
2017-07-22 09:52:16	ga_ls8c_ard_3-0-0_095087_2017-07-22_final
2017-08-16 09:45:52	ga_ls8c_ard_3-0-0_094086_2017-08-16_final
2017-08-16 09:46:16	ga_ls8c_ard_3-0-0_094087_2017-08-16_final
2017-08-18 09:33:31	ga_ls8c_ard_3-0-0_092086_2017-08-18_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2018-04-10 09:14:17	ga_ls8c_ard_3-0-0_089086_2018-04-09_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-11 09:57:56	ga_ls8c_ard_3-0-0_096087_2018-04-11_final
2018-04-20 09:51:39	ga_ls8c_ard_3-0-0_095087_2018-04-20_final
2018-05-08 09:39:08	ga_ls8c_ard_3-0-0_093087_2018-05-08_final
2018-05-10 09:26:45	ga_ls8c_ard_3-0-0_091087_2018-05-09_final
2018-05-12 09:14:22	ga_ls8c_ard_3-0-0_089087_2018-05-11_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-05-13 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-05-13_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-04 09:20:16	ga_ls8c_ard_3-0-0_090087_2018-06-03_final
2018-06-05 10:03:08	ga_ls8c_ard_3-0-0_097086_2018-06-05_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-12 10:09:23	ga_ls8c_ard_3-0-0_098086_2018-06-12_final
2018-06-13 09:13:46	ga_ls8c_ard_3-0-0_089086_2018-06-12_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-06-14 09:57:03	ga_ls8c_ard_3-0-0_096086_2018-06-14_final
2018-06-14 09:57:27	ga_ls8c_ard_3-0-0_096087_2018-06-14_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2018-06-28 10:09:33	ga_ls8c_ard_3-0-0_098086_2018-06-28_final
2018-06-29 09:13:57	ga_ls8c_ard_3-0-0_089086_2018-06-28_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-30 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-06-30_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2019-01-31 10:04:07	ga_ls8c_ard_3-0-0_097086_2019-01-31_final
2019-02-02 09:51:45	ga_ls8c_ard_3-0-0_095086_2019-02-02_final
2019-02-02 09:52:09	ga_ls8c_ard_3-0-0_095087_2019-02-02_final
2019-02-04 09:39:24	ga_ls8c_ard_3-0-0_093086_2019-02-04_final
2019-02-04 09:39:48	ga_ls8c_ard_3-0-0_093087_2019-02-04_final
2019-02-06 09:27:02	ga_ls8c_ard_3-0-0_091086_2019-02-05_final
2019-02-06 09:27:26	ga_ls8c_ard_3-0-0_091087_2019-02-05_final
2019-02-20 09:39:21	ga_ls8c_ard_3-0-0_093086_2019-02-20_final
2019-02-20 09:39:45	ga_ls8c_ard_3-0-0_093087_2019-02-20_final
2019-02-22 09:26:59	ga_ls8c_ard_3-0-0_091086_2019-02-21_final
2019-02-22 09:27:23	ga_ls8c_ard_3-0-0_091087_2019-02-21_final
2019-03-19 09:20:41	ga_ls8c_ard_3-1-0_090086_2019-03-18_final
2019-03-19 09:21:04	ga_ls8c_ard_3-1-0_090087_2019-03-18_final
2019-03-20 10:03:56	ga_ls8c_ard_3-1-0_097086_2019-03-20_final
2019-03-24 09:39:12	ga_ls8c_ard_3-1-0_093086_2019-03-24_final
2019-03-24 09:39:36	ga_ls8c_ard_3-1-0_093087_2019-03-24_final
2019-03-26 09:26:50	ga_ls8c_ard_3-1-0_091086_2019-03-25_final
2019-03-26 09:27:14	ga_ls8c_ard_3-1-0_091087_2019-03-25_final
2019-04-04 09:20:37	ga_ls8c_ard_3-1-0_090086_2019-04-03_final
2019-04-04 09:21:01	ga_ls8c_ard_3-1-0_090087_2019-04-03_final
2019-05-07 10:03:50	ga_ls8c_ard_3-0-0_097086_2019-05-07_final
2019-05-09 09:51:30	ga_ls8c_ard_3-0-0_095086_2019-05-09_final
2019-05-09 09:51:54	ga_ls8c_ard_3-0-0_095087_2019-05-09_final
2019-05-11 09:39:09	ga_ls8c_ard_3-0-0_093086_2019-05-11_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-05-13 09:26:49	ga_ls8c_ard_3-0-0_091086_2019-05-12_final
2019-05-13 09:27:13	ga_ls8c_ard_3-0-0_091087_2019-05-12_final
2019-05-22 09:20:44	ga_ls8c_ard_3-0-0_090086_2019-05-21_final
2019-05-22 09:21:08	ga_ls8c_ard_3-0-0_090087_2019-05-21_final
2019-05-23 10:04:00	ga_ls8c_ard_3-0-0_097086_2019-05-23_final
2019-06-21 09:33:18	ga_ls8c_ard_3-1-0_092086_2019-06-21_final
2019-06-21 09:33:42	ga_ls8c_ard_3-1-0_092087_2019-06-21_final
2019-06-23 09:20:57	ga_ls8c_ard_3-1-0_090086_2019-06-22_final
2019-06-23 09:21:21	ga_ls8c_ard_3-1-0_090087_2019-06-22_final
2019-06-26 09:51:52	ga_ls8c_ard_3-1-0_095086_2019-06-26_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-06-30 09:27:10	ga_ls8c_ard_3-1-0_091086_2019-06-29_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