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
2014-07-07 09:45:38	ga_ls8c_ard_3-0-0_094086_2014-07-07_final
2014-07-09 09:33:18	ga_ls8c_ard_3-0-0_092086_2014-07-09_final
2014-07-11 09:20:57	ga_ls8c_ard_3-0-0_090086_2014-07-10_final
2014-07-14 09:51:51	ga_ls8c_ard_3-0-0_095086_2014-07-14_final
2014-07-30 09:51:56	ga_ls8c_ard_3-0-0_095086_2014-07-30_final
2014-08-06 09:58:11	ga_ls8c_ard_3-0-0_096086_2014-08-06_final
2014-08-08 09:45:50	ga_ls8c_ard_3-0-0_094086_2014-08-08_final
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2014-08-15 09:52:03	ga_ls8c_ard_3-0-0_095086_2014-08-15_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-31 09:52:05	ga_ls8c_ard_3-0-0_095086_2014-08-31_final
2014-09-02 09:39:44	ga_ls8c_ard_3-0-0_093086_2014-09-02_final
2014-09-04 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-03_final
2014-09-06 09:15:02	ga_ls8c_ard_3-0-0_089086_2014-09-05_final
2014-09-07 09:58:18	ga_ls8c_ard_3-0-0_096086_2014-09-07_final
2014-09-09 09:45:57	ga_ls8c_ard_3-0-0_094086_2014-09-09_final
2014-09-11 09:33:36	ga_ls8c_ard_3-0-0_092086_2014-09-11_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-09-16 09:52:08	ga_ls8c_ard_3-0-0_095086_2014-09-16_final
2014-09-18 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-09-18_final
2014-09-20 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-19_final
2014-09-22 09:15:01	ga_ls8c_ard_3-0-0_089086_2014-09-21_final
2014-09-23 09:58:16	ga_ls8c_ard_3-0-0_096086_2014-09-23_final
2014-09-25 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-09-25_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-29 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-09-28_final
2014-10-02 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-10-02_final
2014-10-04 09:39:49	ga_ls8c_ard_3-0-0_093086_2014-10-04_final
2014-10-06 09:27:28	ga_ls8c_ard_3-0-0_091086_2014-10-05_final
2014-11-10 09:58:24	ga_ls8c_ard_3-0-0_096086_2014-11-10_final
2014-11-12 09:46:03	ga_ls8c_ard_3-0-0_094086_2014-11-12_final
2014-11-21 09:39:47	ga_ls8c_ard_3-0-0_093086_2014-11-21_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-11-25 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-11-24_final
2014-12-21 09:52:07	ga_ls8c_ard_3-0-0_095086_2014-12-21_final
2014-12-28 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-28_final
2014-12-30 09:45:51	ga_ls8c_ard_3-0-0_094086_2014-12-30_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-03 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-01-02_final
2017-03-30 10:03:56	ga_ls8c_ard_3-0-0_097086_2017-03-30_final
2017-04-01 09:51:34	ga_ls8c_ard_3-0-0_095086_2017-04-01_final
2017-04-03 09:39:11	ga_ls8c_ard_3-0-0_093086_2017-04-03_final
2017-05-17 10:03:48	ga_ls8c_ard_3-0-0_097086_2017-05-17_final
2017-05-19 09:51:28	ga_ls8c_ard_3-0-0_095086_2017-05-19_final
2017-05-19 11:29:57	ga_ls8c_ard_3-0-0_111085_2017-05-19_final
2017-05-21 09:39:08	ga_ls8c_ard_3-0-0_093086_2017-05-21_final
2017-07-04 10:04:08	ga_ls8c_ard_3-0-0_097086_2017-07-04_final
2017-07-06 09:51:47	ga_ls8c_ard_3-0-0_095086_2017-07-06_final
2018-02-19 09:27:03	ga_ls8c_ard_3-0-0_091086_2018-02-18_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-02-21 09:14:41	ga_ls8c_ard_3-0-0_089086_2018-02-20_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-02-28 09:20:48	ga_ls8c_ard_3-0-0_090086_2018-02-27_final
2018-03-01 10:04:03	ga_ls8c_ard_3-0-0_097086_2018-03-01_final
2018-03-12 09:45:24	ga_ls8c_ard_3-0-0_094086_2018-03-12_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-04-04 09:51:25	ga_ls8c_ard_3-0-0_095086_2018-04-04_final
2018-04-13 09:45:09	ga_ls8c_ard_3-0-0_094086_2018-04-13_final
2018-04-15 09:32:46	ga_ls8c_ard_3-0-0_092086_2018-04-15_final
2018-04-25 10:09:45	ga_ls8c_ard_3-0-0_098086_2018-04-25_final
2018-04-26 09:14:07	ga_ls8c_ard_3-0-0_089086_2018-04-25_final
2018-04-27 09:57:22	ga_ls8c_ard_3-0-0_096086_2018-04-27_final
2018-04-29 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-04-29_final
2018-05-01 09:32:37	ga_ls8c_ard_3-0-0_092086_2018-05-01_final
2018-05-15 09:44:50	ga_ls8c_ard_3-0-0_094086_2018-05-15_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-20 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-05-20_final
2018-05-22 09:50:55	ga_ls8c_ard_3-0-0_095086_2018-05-22_final
2018-05-31 09:44:37	ga_ls8c_ard_3-0-0_094086_2018-05-31_final
2018-06-02 09:32:14	ga_ls8c_ard_3-0-0_092086_2018-06-02_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-16 09:44:43	ga_ls8c_ard_3-0-0_094086_2018-06-16_final
2018-06-18 09:32:22	ga_ls8c_ard_3-0-0_092086_2018-06-18_final
2018-06-19 10:15:15	ga_ls8c_ard_3-0-0_099085_2018-06-19_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_final
2021-01-04 10:04:37	ga_ls8c_ard_3-2-0_097086_2021-01-04_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-03-15 09:27:07	ga_ls8c_ard_3-2-0_091086_2021-03-14_final
2021-03-16 10:10:22	ga_ls8c_ard_3-2-0_098086_2021-03-16_final
2021-03-17 09:14:44	ga_ls8c_ard_3-2-0_089086_2021-03-16_final
2021-03-18 09:57:59	ga_ls8c_ard_3-2-0_096086_2021-03-18_final
2021-03-20 09:45:38	ga_ls8c_ard_3-2-0_094086_2021-03-20_final
2021-03-22 09:33:16	ga_ls8c_ard_3-2-0_092086_2021-03-22_final
2021-03-24 09:20:54	ga_ls8c_ard_3-2-0_090086_2021-03-23_final
2021-03-25 10:04:09	ga_ls8c_ard_3-2-0_097086_2021-03-25_final
2021-03-27 09:51:47	ga_ls8c_ard_3-2-0_095086_2021-03-27_final
2021-03-29 09:39:25	ga_ls8c_ard_3-2-0_093086_2021-03-29_final
2021-03-31 09:27:03	ga_ls8c_ard_3-2-0_091086_2021-03-30_final
2021-04-05 09:45:34	ga_ls8c_ard_3-2-0_094086_2021-04-05_final
2021-04-07 09:33:12	ga_ls8c_ard_3-2-0_092086_2021-04-07_final
2021-04-09 09:20:49	ga_ls8c_ard_3-2-0_090086_2021-04-08_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