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
2014-02-27 09:58:51	ga_ls8c_ard_3-0-0_096086_2014-02-27_final
2014-03-01 09:46:27	ga_ls8c_ard_3-0-0_094086_2014-03-01_final
2014-03-03 09:34:02	ga_ls8c_ard_3-0-0_092086_2014-03-03_final
2014-03-08 09:52:33	ga_ls8c_ard_3-0-0_095086_2014-03-08_final
2014-03-10 09:40:11	ga_ls8c_ard_3-0-0_093086_2014-03-10_final
2014-04-02 09:46:01	ga_ls8c_ard_3-0-0_094086_2014-04-02_final
2014-04-04 09:33:38	ga_ls8c_ard_3-0-0_092086_2014-04-04_final
2014-04-16 09:58:07	ga_ls8c_ard_3-0-0_096086_2014-04-16_final
2014-04-18 09:45:44	ga_ls8c_ard_3-0-0_094086_2014-04-18_final
2014-04-20 09:33:21	ga_ls8c_ard_3-0-0_092086_2014-04-20_final
2014-04-25 09:51:50	ga_ls8c_ard_3-0-0_095086_2014-04-25_final
2014-04-27 09:39:27	ga_ls8c_ard_3-0-0_093086_2014-04-27_final
2014-05-04 09:45:29	ga_ls8c_ard_3-0-0_094086_2014-05-04_final
2014-05-06 09:33:05	ga_ls8c_ard_3-0-0_092086_2014-05-06_final
2014-05-11 09:51:35	ga_ls8c_ard_3-0-0_095086_2014-05-11_final
2014-05-13 09:39:12	ga_ls8c_ard_3-0-0_093086_2014-05-13_final
2014-05-27 09:51:32	ga_ls8c_ard_3-0-0_095086_2014-05-27_final
2014-05-29 09:39:12	ga_ls8c_ard_3-0-0_093086_2014-05-29_final
2014-06-12 09:51:41	ga_ls8c_ard_3-0-0_095086_2014-06-12_final
2014-06-19 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-06-19_final
2014-06-19 09:57:53	ga_ls8c_ard_3-0-0_096086_2014-06-19_final
2014-06-21 09:45:31	ga_ls8c_ard_3-0-0_094086_2014-06-21_final
2014-06-28 09:51:43	ga_ls8c_ard_3-0-0_095086_2014-06-28_final
2014-06-30 09:39:23	ga_ls8c_ard_3-0-0_093086_2014-06-30_final
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
2016-05-23 09:57:47	ga_ls8c_ard_3-0-0_096086_2016-05-23_final
2016-05-23 11:36:16	ga_ls8c_ard_3-0-0_112085_2016-05-23_final
2016-05-25 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-05-25_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
2016-06-10 09:45:30	ga_ls8c_ard_3-0-0_094086_2016-06-10_final
2016-06-10 11:23:59	ga_ls8c_ard_3-0-0_110085_2016-06-10_final
2016-08-29 09:45:59	ga_ls8c_ard_3-0-0_094086_2016-08-29_final
2016-08-31 09:33:38	ga_ls8c_ard_3-0-0_092086_2016-08-31_final
2016-09-26 10:10:46	ga_ls8c_ard_3-0-0_098086_2016-09-26_final
2016-09-27 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-09-26_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-09-30 11:24:31	ga_ls8c_ard_3-0-0_110085_2016-09-30_final
2016-10-02 09:33:42	ga_ls8c_ard_3-0-0_092086_2016-10-02_final
2016-10-02 11:12:11	ga_ls8c_ard_3-0-0_108085_2016-10-02_final
2016-10-27 09:27:37	ga_ls8c_ard_3-0-0_091086_2016-10-26_final
2017-07-22 09:51:53	ga_ls8c_ard_3-0-0_095086_2017-07-22_final
2017-07-24 09:39:32	ga_ls8c_ard_3-0-0_093086_2017-07-24_final
2017-08-07 09:52:00	ga_ls8c_ard_3-0-0_095086_2017-08-07_final
2017-08-07 11:30:29	ga_ls8c_ard_3-0-0_111085_2017-08-07_final
2017-08-09 09:39:39	ga_ls8c_ard_3-0-0_093086_2017-08-09_final
2017-08-10 10:22:31	ga_ls8c_ard_3-0-0_100085_2017-08-10_final
2017-08-11 09:27:18	ga_ls8c_ard_3-0-0_091086_2017-08-10_final
2017-08-23 09:52:04	ga_ls8c_ard_3-0-0_095086_2017-08-23_final
2017-08-25 09:39:43	ga_ls8c_ard_3-0-0_093086_2017-08-25_final
2017-08-26 10:22:35	ga_ls8c_ard_3-0-0_100085_2017-08-26_final
2017-08-28 10:10:38	ga_ls8c_ard_3-0-0_098086_2017-08-28_final
2017-08-29 09:15:00	ga_ls8c_ard_3-0-0_089086_2017-08-28_final
2017-08-30 09:58:16	ga_ls8c_ard_3-0-0_096086_2017-08-30_final
2017-08-30 11:36:45	ga_ls8c_ard_3-0-0_112085_2017-08-30_final
2017-09-05 09:21:12	ga_ls8c_ard_3-0-0_090086_2017-09-04_final
2017-09-06 10:04:04	ga_ls8c_ard_3-0-0_097085_2017-09-06_final
2017-09-06 10:04:28	ga_ls8c_ard_3-0-0_097086_2017-09-06_final
2017-09-21 09:20:51	ga_ls8c_ard_3-0-0_090085_2017-09-20_final
2017-09-21 09:21:15	ga_ls8c_ard_3-0-0_090086_2017-09-20_final
2017-09-22 10:04:31	ga_ls8c_ard_3-0-0_097086_2017-09-22_final
2017-09-24 09:52:11	ga_ls8c_ard_3-0-0_095086_2017-09-24_final
2017-09-26 09:39:50	ga_ls8c_ard_3-0-0_093086_2017-09-26_final
2017-09-27 10:22:42	ga_ls8c_ard_3-0-0_100085_2017-09-27_final
2017-09-28 09:27:29	ga_ls8c_ard_3-0-0_091086_2017-09-27_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-10-10 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-10-10_final
2017-10-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2017-10-12_final
2017-10-26 09:52:18	ga_ls8c_ard_3-0-0_095086_2017-10-26_final
2017-10-28 09:39:56	ga_ls8c_ard_3-0-0_093086_2017-10-28_final
2017-11-11 09:52:15	ga_ls8c_ard_3-0-0_095086_2017-11-11_final
2017-11-13 09:39:53	ga_ls8c_ard_3-0-0_093086_2017-11-13_final
2017-11-27 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-11-27_final
2017-11-29 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-11-29_final
2017-12-01 09:27:25	ga_ls8c_ard_3-0-0_091086_2017-11-30_final
2017-12-13 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-12-13_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2017-12-17 09:27:27	ga_ls8c_ard_3-0-0_091086_2017-12-16_final
2017-12-29 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-12-29_final
2017-12-31 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-12-31_final
2018-01-14 09:52:03	ga_ls8c_ard_3-0-0_095086_2018-01-14_final
2018-01-16 09:39:40	ga_ls8c_ard_3-0-0_093086_2018-01-16_final
2022-06-02 09:52:00	ga_ls8c_ard_3-2-1_095086_2022-06-02_final
2022-06-04 09:39:40	ga_ls8c_ard_3-2-1_093086_2022-06-04_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-11 09:45:56	ga_ls8c_ard_3-2-1_094086_2022-06-11_final
2022-06-13 09:33:36	ga_ls8c_ard_3-2-1_092086_2022-06-13_final
2022-07-15 09:33:40	ga_ls8c_ard_3-2-1_092086_2022-07-15_final
2022-07-17 09:21:19	ga_ls8c_ard_3-2-1_090086_2022-07-16_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-07-27 09:58:09	ga_ls8c_ard_3-2-1_096085_2022-07-27_final
2022-07-27 09:58:33	ga_ls8c_ard_3-2-1_096086_2022-07-27_final
2022-07-29 09:46:12	ga_ls8c_ard_3-2-1_094086_2022-07-29_final
2022-07-29 11:24:41	ga_ls8c_ard_3-2-1_110085_2022-07-29_final
2022-07-31 09:33:52	ga_ls8c_ard_3-2-1_092086_2022-07-31_final
2022-08-02 09:21:31	ga_ls8c_ard_3-2-1_090086_2022-08-01_final
2022-08-03 10:04:24	ga_ls8c_ard_3-2-1_097085_2022-08-03_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