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
2014-12-02 09:21:17	ga_ls8c_ard_3-0-0_090086_2014-12-01_final
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-18 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-12-17_final
2014-12-23 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-12-23_final
2014-12-25 09:27:22	ga_ls8c_ard_3-0-0_091086_2014-12-24_final
2015-01-10 09:26:55	ga_ls8c_ard_3-0-0_091085_2015-01-09_final
2015-01-10 09:27:19	ga_ls8c_ard_3-0-0_091086_2015-01-09_final
2015-01-12 09:14:57	ga_ls8c_ard_3-0-0_089086_2015-01-11_final
2015-01-13 09:58:13	ga_ls8c_ard_3-0-0_096086_2015-01-13_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-28 09:14:52	ga_ls8c_ard_3-0-0_089086_2015-01-27_final
2015-02-04 09:21:01	ga_ls8c_ard_3-0-0_090086_2015-02-03_final
2015-03-15 09:26:52	ga_ls8c_ard_3-0-0_091086_2015-03-14_final
2015-03-17 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-03-16_final
2015-03-18 09:57:45	ga_ls8c_ard_3-0-0_096086_2015-03-18_final
2019-02-02 09:51:45	ga_ls8c_ard_3-0-0_095086_2019-02-02_final
2019-02-11 09:45:34	ga_ls8c_ard_3-0-0_094086_2019-02-11_final
2019-02-13 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-02-13_final
2019-02-23 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-02-23_final
2019-02-24 09:14:37	ga_ls8c_ard_3-0-0_089086_2019-02-23_final
2019-03-01 09:33:08	ga_ls8c_ard_3-0-0_092086_2019-03-01_final
2019-03-03 09:20:46	ga_ls8c_ard_3-0-0_090086_2019-03-02_final
2019-03-04 10:04:01	ga_ls8c_ard_3-0-0_097086_2019-03-04_final
2019-03-11 10:10:09	ga_ls8c_ard_3-1-0_098086_2019-03-11_final
2019-03-12 09:14:31	ga_ls8c_ard_3-1-0_089086_2019-03-11_final
2019-03-15 09:45:24	ga_ls8c_ard_3-1-0_094086_2019-03-15_final
2019-03-17 09:33:02	ga_ls8c_ard_3-1-0_092086_2019-03-17_final
2019-03-26 09:26:50	ga_ls8c_ard_3-1-0_091086_2019-03-25_final
2019-03-27 10:10:06	ga_ls8c_ard_3-1-0_098086_2019-03-27_final
2019-03-28 09:14:28	ga_ls8c_ard_3-1-0_089086_2019-03-27_final
2019-03-31 09:45:21	ga_ls8c_ard_3-1-0_094086_2019-03-31_final
2019-04-02 09:32:59	ga_ls8c_ard_3-1-0_092086_2019-04-02_final
2019-04-11 09:26:46	ga_ls8c_ard_3-1-0_091086_2019-04-10_final
2019-04-12 10:10:01	ga_ls8c_ard_3-1-0_098086_2019-04-12_final
2019-04-13 09:14:23	ga_ls8c_ard_3-1-0_089086_2019-04-12_final
2019-04-14 09:57:38	ga_ls8c_ard_3-1-0_096086_2019-04-14_final
2019-04-16 09:45:16	ga_ls8c_ard_3-1-0_094086_2019-04-16_final
2019-04-18 09:32:54	ga_ls8c_ard_3-1-0_092086_2019-04-18_final
2019-04-20 09:20:31	ga_ls8c_ard_3-0-0_090086_2019-04-19_final
2019-04-21 10:03:46	ga_ls8c_ard_3-0-0_097086_2019-04-21_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-04 09:32:54	ga_ls8c_ard_3-0-0_092086_2019-05-04_final
2019-05-13 09:26:49	ga_ls8c_ard_3-0-0_091086_2019-05-12_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-15 09:14:05	ga_ls8c_ard_3-0-0_089085_2019-05-14_final
2019-05-15 09:14:29	ga_ls8c_ard_3-0-0_089086_2019-05-14_final
2019-05-16 09:57:45	ga_ls8c_ard_3-0-0_096086_2019-05-16_final
2019-05-18 09:45:25	ga_ls8c_ard_3-0-0_094086_2019-05-18_final
2019-05-20 09:33:04	ga_ls8c_ard_3-0-0_092086_2019-05-20_final
2019-05-20 11:11:33	ga_ls8c_ard_3-0-0_108085_2019-05-20_final
2019-05-30 10:09:51	ga_ls8c_ard_3-0-0_098085_2019-05-30_final
2019-05-30 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-05-30_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_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
2019-09-05 09:58:23	ga_ls8c_ard_3-1-0_096086_2019-09-05_final
2019-09-07 09:46:02	ga_ls8c_ard_3-1-0_094086_2019-09-07_final
2019-09-14 09:52:15	ga_ls8c_ard_3-1-0_095086_2019-09-14_final
2019-09-16 09:39:55	ga_ls8c_ard_3-1-0_093086_2019-09-16_final
2019-10-09 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-10-09_final
2019-10-11 09:33:50	ga_ls8c_ard_3-1-0_092086_2019-10-11_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2019-10-18 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-10-18_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2019-10-25 09:46:12	ga_ls8c_ard_3-1-0_094086_2019-10-25_final
2023-01-05 09:46:13	ga_ls8c_ard_3-2-1_094086_2023-01-05_final
2023-01-07 09:33:51	ga_ls8c_ard_3-2-1_092086_2023-01-07_final
2023-01-09 09:21:29	ga_ls8c_ard_3-2-1_090086_2023-01-08_final
2023-01-12 09:52:21	ga_ls8c_ard_3-2-1_095086_2023-01-12_final
2023-01-14 09:39:58	ga_ls8c_ard_3-2-1_093086_2023-01-14_final
2023-01-16 09:27:34	ga_ls8c_ard_3-2-1_091086_2023-01-15_final
2023-01-18 09:15:11	ga_ls8c_ard_3-2-1_089086_2023-01-17_final
2023-01-19 09:58:28	ga_ls8c_ard_3-2-1_096086_2023-01-19_final
2023-01-21 09:46:08	ga_ls8c_ard_3-2-1_094086_2023-01-21_final
2023-01-23 09:33:48	ga_ls8c_ard_3-2-1_092086_2023-01-23_final
2023-01-25 09:21:27	ga_ls8c_ard_3-2-1_090086_2023-01-24_final
2023-01-30 09:40:01	ga_ls8c_ard_3-2-1_093086_2023-01-30_final
2023-02-01 09:27:39	ga_ls8c_ard_3-2-1_091086_2023-01-31_final
2023-02-03 09:15:17	ga_ls8c_ard_3-2-1_089086_2023-02-02_final
2023-02-04 09:58:33	ga_ls8c_ard_3-2-1_096086_2023-02-04_final
2023-02-06 09:46:11	ga_ls8c_ard_3-2-1_094086_2023-02-06_final
2023-02-08 09:33:48	ga_ls8c_ard_3-2-1_092086_2023-02-08_final
2023-02-10 09:21:25	ga_ls8c_ard_3-2-1_090086_2023-02-09_final
2023-02-13 09:52:17	ga_ls8c_ard_3-2-1_095086_2023-02-13_final
2023-02-17 09:27:30	ga_ls8c_ard_3-2-1_091086_2023-02-16_final
2023-02-22 09:45:56	ga_ls8c_ard_3-2-1_094086_2023-02-22_final
2023-02-24 09:33:31	ga_ls8c_ard_3-2-1_092086_2023-02-24_final
2023-03-05 09:27:18	ga_ls8c_ard_3-2-1_091086_2023-03-04_final
2023-03-07 09:14:55	ga_ls8c_ard_3-2-1_089086_2023-03-06_final
2023-03-08 09:58:09	ga_ls8c_ard_3-2-1_096086_2023-03-08_final
2023-03-10 09:45:47	ga_ls8c_ard_3-2-1_094086_2023-03-10_final
2023-03-12 09:33:26	ga_ls8c_ard_3-2-1_092086_2023-03-12_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-21 09:27:09	ga_ls8c_ard_3-2-1_091086_2023-03-20_final
2023-03-23 09:14:45	ga_ls8c_ard_3-2-1_089086_2023-03-22_final
2023-04-02 09:51:45	ga_ls8c_ard_3-2-1_095086_2023-04-02_final
2023-04-09 09:57:47	ga_ls8c_ard_3-2-1_096086_2023-04-09_final
2023-04-11 09:45:22	ga_ls8c_ard_3-2-1_094086_2023-04-11_final
2023-04-13 09:33:01	ga_ls8c_ard_3-2-1_092086_2023-04-13_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