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
2013-04-15 09:47:38	ga_ls8c_ard_3-0-0_094086_2013-04-15_final
2013-04-17 09:35:16	ga_ls8c_ard_3-0-0_092086_2013-04-17_final
2013-04-19 09:22:54	ga_ls8c_ard_3-0-0_090086_2013-04-18_final
2013-05-21 09:23:07	ga_ls8c_ard_3-0-0_090086_2013-05-20_final
2013-05-28 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-05-27_final
2013-06-29 09:29:14	ga_ls8c_ard_3-0-0_091086_2013-06-28_final
2013-07-01 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-06-30_final
2013-07-06 09:35:26	ga_ls8c_ard_3-0-0_092086_2013-07-06_final
2013-07-08 09:22:41	ga_ls8c_ard_3-0-0_090085_2013-07-07_final
2013-07-08 09:23:05	ga_ls8c_ard_3-0-0_090086_2013-07-07_final
2013-07-11 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-07-11_final
2013-07-15 09:29:15	ga_ls8c_ard_3-0-0_091086_2013-07-14_final
2013-07-22 09:35:24	ga_ls8c_ard_3-0-0_092086_2013-07-22_final
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-19 10:00:12	ga_ls8c_ard_3-0-0_096086_2013-08-19_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-09-01 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-08-31_final
2013-09-03 09:16:57	ga_ls8c_ard_3-0-0_089086_2013-09-02_final
2013-09-04 10:00:13	ga_ls8c_ard_3-0-0_096086_2013-09-04_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-10 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-09-09_final
2013-09-10 09:23:06	ga_ls8c_ard_3-0-0_090086_2013-09-09_final
2013-09-22 09:47:44	ga_ls8c_ard_3-0-0_094086_2013-09-22_final
2013-09-24 09:35:21	ga_ls8c_ard_3-0-0_092086_2013-09-24_final
2013-10-04 10:12:01	ga_ls8c_ard_3-0-0_098085_2013-10-04_final
2013-10-05 09:16:24	ga_ls8c_ard_3-0-0_089085_2013-10-04_final
2013-10-05 09:16:48	ga_ls8c_ard_3-0-0_089086_2013-10-04_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-12 09:22:34	ga_ls8c_ard_3-0-0_090085_2013-10-11_final
2013-10-12 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-10-11_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-20 10:11:57	ga_ls8c_ard_3-0-0_098085_2013-10-20_final
2013-10-22 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-10-22_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2015-02-07 09:51:54	ga_ls8c_ard_3-0-0_095086_2015-02-07_final
2015-02-09 09:39:31	ga_ls8c_ard_3-0-0_093086_2015-02-09_final
2015-03-08 09:20:47	ga_ls8c_ard_3-0-0_090086_2015-03-07_final
2015-04-07 09:32:50	ga_ls8c_ard_3-0-0_092086_2015-04-07_final
2015-04-09 09:20:28	ga_ls8c_ard_3-0-0_090086_2015-04-08_final
2015-04-30 09:38:53	ga_ls8c_ard_3-0-0_093086_2015-04-30_final
2015-05-02 09:26:29	ga_ls8c_ard_3-0-0_091086_2015-05-01_final
2015-05-09 09:32:32	ga_ls8c_ard_3-0-0_092086_2015-05-09_final
2015-05-11 09:20:09	ga_ls8c_ard_3-0-0_090086_2015-05-10_final
2015-05-16 09:38:15	ga_ls8c_ard_3-0-0_093085_2015-05-16_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-18 09:26:18	ga_ls8c_ard_3-0-0_091086_2015-05-17_final
2015-05-18 11:04:47	ga_ls8c_ard_3-0-0_107085_2015-05-18_final
2015-05-23 09:44:28	ga_ls8c_ard_3-0-0_094085_2015-05-23_final
2015-05-23 09:44:52	ga_ls8c_ard_3-1-0_094086_2015-05-23_final
2015-06-01 09:38:21	ga_ls8c_ard_3-0-0_093085_2015-06-01_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_final
2015-06-02 10:21:37	ga_ls8c_ard_3-0-0_100085_2015-06-02_final
2015-06-03 09:26:01	ga_ls8c_ard_3-0-0_091085_2015-06-02_final
2015-06-03 09:26:25	ga_ls8c_ard_3-0-0_091086_2015-06-02_final
2015-06-03 11:04:54	ga_ls8c_ard_3-0-0_107085_2015-06-03_final
2015-06-08 09:44:38	ga_ls8c_ard_3-0-0_094085_2015-06-08_final
2015-06-08 09:45:02	ga_ls8c_ard_3-0-0_094086_2015-06-08_final
2015-06-08 11:23:31	ga_ls8c_ard_3-0-0_110085_2015-06-08_final
2015-06-10 09:32:41	ga_ls8c_ard_3-0-0_092086_2015-06-10_final
2015-12-17 09:45:57	ga_ls8c_ard_3-0-0_094086_2015-12-17_final
2015-12-17 11:24:26	ga_ls8c_ard_3-0-0_110085_2015-12-17_final
2015-12-19 09:33:35	ga_ls8c_ard_3-0-0_092086_2015-12-19_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2015-12-21 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-20_final
2015-12-26 09:39:22	ga_ls8c_ard_3-0-0_093085_2015-12-26_final
2015-12-26 09:39:46	ga_ls8c_ard_3-0-0_093086_2015-12-26_final
2015-12-27 10:22:37	ga_ls8c_ard_3-0-0_100085_2015-12-27_final
2016-02-08 10:04:21	ga_ls8c_ard_3-0-0_097086_2016-02-08_final
2016-02-10 09:51:59	ga_ls8c_ard_3-0-0_095086_2016-02-10_final
2016-03-27 10:04:04	ga_ls8c_ard_3-0-0_097086_2016-03-27_final
2016-03-29 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-03-29_final
2016-04-14 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-14_final
2016-06-07 09:14:36	ga_ls8c_ard_3-0-0_089086_2016-06-06_final
2016-06-08 09:57:27	ga_ls8c_ard_3-0-0_096085_2016-06-08_final
2016-06-08 09:57:51	ga_ls8c_ard_3-0-0_096086_2016-06-08_final
2016-06-08 11:36:20	ga_ls8c_ard_3-0-0_112085_2016-06-08_final
2016-07-21 09:39:37	ga_ls8c_ard_3-0-0_093086_2016-07-21_final
2016-07-21 11:18:06	ga_ls8c_ard_3-0-0_109085_2016-07-21_final
2016-07-23 09:27:16	ga_ls8c_ard_3-0-0_091086_2016-07-22_final
2016-07-23 11:05:45	ga_ls8c_ard_3-0-0_107085_2016-07-23_final
2016-07-30 09:33:28	ga_ls8c_ard_3-0-0_092086_2016-07-30_final
2016-07-31 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-07-31_final
2016-08-01 09:20:42	ga_ls8c_ard_3-0-0_090085_2016-07-31_final
2016-08-01 09:21:06	ga_ls8c_ard_3-0-0_090086_2016-07-31_final
2016-08-17 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-08-16_final
2016-08-29 09:45:59	ga_ls8c_ard_3-0-0_094086_2016-08-29_final
2016-08-29 11:24:28	ga_ls8c_ard_3-0-0_110085_2016-08-29_final
2016-08-31 09:33:38	ga_ls8c_ard_3-0-0_092086_2016-08-31_final
2016-08-31 11:12:07	ga_ls8c_ard_3-0-0_108085_2016-08-31_final
2016-10-12 10:10:27	ga_ls8c_ard_3-0-0_098085_2016-10-12_final
2016-10-12 10:10:51	ga_ls8c_ard_3-0-0_098086_2016-10-12_final
2016-10-13 09:15:14	ga_ls8c_ard_3-0-0_089086_2016-10-12_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_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