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
2016-04-30 09:51:59	ga_ls8c_ard_3-0-0_095087_2016-04-30_final
2016-05-02 09:39:39	ga_ls8c_ard_3-0-0_093087_2016-05-02_final
2016-05-16 09:51:33	ga_ls8c_ard_3-0-0_095086_2016-05-16_final
2016-05-16 09:51:57	ga_ls8c_ard_3-0-0_095087_2016-05-16_final
2016-05-18 09:39:12	ga_ls8c_ard_3-0-0_093086_2016-05-18_final
2016-05-18 09:39:36	ga_ls8c_ard_3-0-0_093087_2016-05-18_final
2016-06-01 09:51:39	ga_ls8c_ard_3-0-0_095086_2016-06-01_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-06-03 09:39:18	ga_ls8c_ard_3-0-0_093086_2016-06-03_final
2016-06-03 09:39:42	ga_ls8c_ard_3-0-0_093087_2016-06-03_final
2016-06-10 09:45:30	ga_ls8c_ard_3-0-0_094086_2016-06-10_final
2016-06-10 09:45:54	ga_ls8c_ard_3-0-0_094087_2016-06-10_final
2016-06-17 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-06-17_final
2016-06-17 09:52:05	ga_ls8c_ard_3-0-0_095087_2016-06-17_final
2016-06-19 09:39:21	ga_ls8c_ard_3-0-0_093086_2016-06-19_final
2016-06-19 09:39:45	ga_ls8c_ard_3-0-0_093087_2016-06-19_final
2016-07-03 09:51:51	ga_ls8c_ard_3-0-0_095086_2016-07-03_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-05 09:39:31	ga_ls8c_ard_3-0-0_093086_2016-07-05_final
2016-07-05 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-07-05_final
2016-07-17 10:04:19	ga_ls8c_ard_3-0-0_097086_2016-07-17_final
2016-07-19 09:51:58	ga_ls8c_ard_3-0-0_095086_2016-07-19_final
2016-07-19 09:52:22	ga_ls8c_ard_3-0-0_095087_2016-07-19_final
2016-07-21 09:39:37	ga_ls8c_ard_3-0-0_093086_2016-07-21_final
2016-07-21 09:40:01	ga_ls8c_ard_3-0-0_093087_2016-07-21_final
2016-07-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2016-07-26_final
2016-07-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2016-07-26_final
2016-07-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2016-07-28_final
2016-07-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2016-07-28_final
2016-08-13 09:45:51	ga_ls8c_ard_3-0-0_094086_2016-08-13_final
2016-08-13 09:46:15	ga_ls8c_ard_3-0-0_094087_2016-08-13_final
2016-08-15 09:33:31	ga_ls8c_ard_3-0-0_092086_2016-08-15_final
2016-08-15 09:33:55	ga_ls8c_ard_3-0-0_092087_2016-08-15_final
2016-08-27 09:58:20	ga_ls8c_ard_3-0-0_096086_2016-08-27_final
2016-08-27 09:58:43	ga_ls8c_ard_3-0-0_096087_2016-08-27_final
2016-08-29 09:45:59	ga_ls8c_ard_3-0-0_094086_2016-08-29_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-31 09:33:38	ga_ls8c_ard_3-0-0_092086_2016-08-31_final
2016-08-31 09:34:02	ga_ls8c_ard_3-0-0_092087_2016-08-31_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-09-30 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-30_final
2016-10-02 09:33:42	ga_ls8c_ard_3-0-0_092086_2016-10-02_final
2016-10-02 09:34:06	ga_ls8c_ard_3-0-0_092087_2016-10-02_final
2016-10-16 09:46:08	ga_ls8c_ard_3-0-0_094086_2016-10-16_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-10-18 09:33:47	ga_ls8c_ard_3-0-0_092086_2016-10-18_final
2016-10-18 09:34:11	ga_ls8c_ard_3-0-0_092087_2016-10-18_final
2017-11-18 09:58:24	ga_ls8c_ard_3-0-0_096086_2017-11-18_final
2017-11-18 09:58:48	ga_ls8c_ard_3-0-0_096087_2017-11-18_final
2017-11-20 09:46:02	ga_ls8c_ard_3-0-0_094086_2017-11-20_final
2017-11-20 09:46:26	ga_ls8c_ard_3-0-0_094087_2017-11-20_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
2017-11-29 09:40:11	ga_ls8c_ard_3-0-0_093087_2017-11-29_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2017-12-04 09:58:43	ga_ls8c_ard_3-0-0_096087_2017-12-04_final
2017-12-06 09:46:21	ga_ls8c_ard_3-0-0_094087_2017-12-06_final
2018-01-05 09:58:18	ga_ls8c_ard_3-0-0_096086_2018-01-05_final
2018-01-05 09:58:42	ga_ls8c_ard_3-0-0_096087_2018-01-05_final
2018-01-07 09:46:19	ga_ls8c_ard_3-0-0_094087_2018-01-07_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-22 09:33:30	ga_ls8c_ard_3-0-0_092087_2018-09-22_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-09-25 10:04:02	ga_ls8c_ard_3-0-0_097086_2018-09-25_final
2018-10-08 09:33:14	ga_ls8c_ard_3-0-0_092086_2018-10-08_final
2018-10-08 09:33:38	ga_ls8c_ard_3-0-0_092087_2018-10-08_final
2018-10-10 09:20:54	ga_ls8c_ard_3-0-0_090086_2018-10-09_final
2018-10-10 09:21:18	ga_ls8c_ard_3-0-0_090087_2018-10-09_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-19 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-10-18_final
2018-10-24 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-10-24_final
2018-10-24 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-10-24_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-26 09:21:23	ga_ls8c_ard_3-0-0_090087_2018-10-25_final
2018-10-27 10:04:15	ga_ls8c_ard_3-0-0_097086_2018-10-27_final
2018-11-03 10:10:27	ga_ls8c_ard_3-0-0_098086_2018-11-03_final
2018-11-04 09:14:50	ga_ls8c_ard_3-0-0_089086_2018-11-03_final
2018-11-04 09:15:14	ga_ls8c_ard_3-0-0_089087_2018-11-03_final
2018-11-12 10:04:17	ga_ls8c_ard_3-0-0_097086_2018-11-12_final
2018-11-19 10:10:28	ga_ls8c_ard_3-0-0_098086_2018-11-19_final
2018-11-20 09:14:51	ga_ls8c_ard_3-0-0_089086_2018-11-19_final
2018-11-20 09:15:15	ga_ls8c_ard_3-0-0_089087_2018-11-19_final
2018-12-05 10:10:26	ga_ls8c_ard_3-0-0_098086_2018-12-05_final
2018-12-06 09:14:49	ga_ls8c_ard_3-0-0_089086_2018-12-05_final
2018-12-06 09:15:12	ga_ls8c_ard_3-0-0_089087_2018-12-05_final
2018-12-21 10:10:24	ga_ls8c_ard_3-0-0_098086_2018-12-21_final
2018-12-22 09:14:47	ga_ls8c_ard_3-0-0_089086_2018-12-21_final
2018-12-22 09:15:11	ga_ls8c_ard_3-0-0_089087_2018-12-21_final
2018-12-27 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-27_final
2018-12-27 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-27_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2018-12-29 09:21:22	ga_ls8c_ard_3-0-0_090087_2018-12-28_final
2018-12-30 10:04:14	ga_ls8c_ard_3-0-0_097086_2018-12-30_final
2019-01-06 10:10:24	ga_ls8c_ard_3-0-0_098086_2019-01-06_final
2019-01-07 09:14:46	ga_ls8c_ard_3-0-0_089086_2019-01-06_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