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
2013-04-12 09:16:59	ga_ls8c_ard_3-0-0_089086_2013-04-11_final
2013-04-13 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-04-13_final
2013-04-26 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-04-25_final
2013-04-28 09:16:40	ga_ls8c_ard_3-0-0_089086_2013-04-27_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-06-04 09:35:30	ga_ls8c_ard_3-0-0_092086_2013-06-04_final
2013-06-06 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-06-05_final
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2013-06-11 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-06-11_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-17 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-07-16_final
2013-07-17 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-07-16_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-07-20 09:47:46	ga_ls8c_ard_3-0-0_094086_2013-07-20_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-12 09:54:00	ga_ls8c_ard_3-0-0_095086_2013-08-12_final
2013-08-18 09:16:56	ga_ls8c_ard_3-0-0_089086_2013-08-17_final
2013-08-25 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-08-24_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-09-29 09:53:52	ga_ls8c_ard_3-0-0_095086_2013-09-29_final
2013-10-01 09:41:30	ga_ls8c_ard_3-0-0_093086_2013-10-01_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-09 09:47:33	ga_ls8c_ard_3-0-0_094086_2013-11-09_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2017-05-12 09:45:12	ga_ls8c_ard_3-0-0_094086_2017-05-12_final
2017-05-14 09:32:52	ga_ls8c_ard_3-0-0_092086_2017-05-14_final
2017-05-16 09:20:08	ga_ls8c_ard_3-0-0_090085_2017-05-15_final
2017-05-16 09:20:32	ga_ls8c_ard_3-0-0_090086_2017-05-15_final
2017-05-23 09:26:47	ga_ls8c_ard_3-0-0_091086_2017-05-22_final
2017-05-23 11:05:16	ga_ls8c_ard_3-0-0_107085_2017-05-23_final
2017-05-24 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-05-24_final
2017-05-25 09:14:27	ga_ls8c_ard_3-0-0_089086_2017-05-24_final
2017-05-26 09:57:43	ga_ls8c_ard_3-0-0_096086_2017-05-26_final
2017-06-29 09:45:35	ga_ls8c_ard_3-0-0_094086_2017-06-29_final
2017-06-29 11:24:04	ga_ls8c_ard_3-0-0_110085_2017-06-29_final
2017-07-01 09:33:14	ga_ls8c_ard_3-0-0_092086_2017-07-01_final
2017-07-01 11:11:43	ga_ls8c_ard_3-0-0_108085_2017-07-01_final
2017-07-03 09:20:52	ga_ls8c_ard_3-0-0_090086_2017-07-02_final
2019-07-17 10:10:29	ga_ls8c_ard_3-1-0_098086_2019-07-17_final
2019-07-18 09:14:28	ga_ls8c_ard_3-1-0_089085_2019-07-17_final
2019-07-18 09:14:52	ga_ls8c_ard_3-1-0_089086_2019-07-17_final
2019-07-19 09:57:43	ga_ls8c_ard_3-1-0_096085_2019-07-19_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-07-21 09:45:47	ga_ls8c_ard_3-1-0_094086_2019-07-21_final
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-08-06 09:45:54	ga_ls8c_ard_3-1-0_094086_2019-08-06_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 11:12:02	ga_ls8c_ard_3-1-0_108085_2019-08-08_final
2019-08-10 09:21:12	ga_ls8c_ard_3-1-0_090086_2019-08-09_final
2019-09-30 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-09-30_final
2019-10-05 10:10:30	ga_ls8c_ard_3-1-0_098085_2019-10-05_final
2019-10-05 10:10:54	ga_ls8c_ard_3-1-0_098086_2019-10-05_final
2019-10-06 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-10-05_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-11-17 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-11-17_final
2019-11-30 09:21:01	ga_ls8c_ard_3-1-0_090085_2019-11-29_final
2019-11-30 09:21:25	ga_ls8c_ard_3-1-0_090086_2019-11-29_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-03 09:21:21	ga_ls8c_ard_3-2-0_090086_2021-01-02_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
2021-01-08 09:39:52	ga_ls8c_ard_3-2-0_093086_2021-01-08_final
2021-01-10 09:27:29	ga_ls8c_ard_3-2-0_091086_2021-01-09_final
2021-01-10 11:05:58	ga_ls8c_ard_3-2-0_107085_2021-01-10_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-17 09:33:36	ga_ls8c_ard_3-2-0_092086_2021-01-17_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-01-31 09:45:57	ga_ls8c_ard_3-2-0_094086_2021-01-31_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-02-18 09:33:31	ga_ls8c_ard_3-2-0_092086_2021-02-18_final
2021-02-20 09:21:08	ga_ls8c_ard_3-2-0_090086_2021-02-19_final
2021-03-02 09:58:09	ga_ls8c_ard_3-2-0_096086_2021-03-02_final
2021-03-04 09:45:46	ga_ls8c_ard_3-2-0_094086_2021-03-04_final
2021-03-06 09:33:24	ga_ls8c_ard_3-2-0_092086_2021-03-06_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-03-09 10:04:16	ga_ls8c_ard_3-2-0_097086_2021-03-09_final
2021-03-11 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-03-11_final
2021-03-13 09:39:30	ga_ls8c_ard_3-2-0_093086_2021-03-13_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
2021-04-01 10:10:18	ga_ls8c_ard_3-2-0_098086_2021-04-01_final
2021-04-02 09:14:41	ga_ls8c_ard_3-2-0_089086_2021-04-01_final
2021-04-03 09:57:56	ga_ls8c_ard_3-2-0_096086_2021-04-03_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