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:

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First 100 results (query limit)

Time (local)	Label
2017-10-31 10:10:26	ga_ls8c_ard_3-0-0_098085_2017-10-31_final
2017-10-31 10:10:50	ga_ls8c_ard_3-0-0_098086_2017-10-31_final
2017-11-01 09:15:12	ga_ls8c_ard_3-0-0_089086_2017-10-31_final
2017-11-16 10:10:22	ga_ls8c_ard_3-0-0_098085_2017-11-16_final
2017-11-16 10:10:46	ga_ls8c_ard_3-0-0_098086_2017-11-16_final
2017-11-17 09:15:09	ga_ls8c_ard_3-0-0_089086_2017-11-16_final
2017-12-02 10:10:41	ga_ls8c_ard_3-0-0_098086_2017-12-02_final
2017-12-03 09:14:39	ga_ls8c_ard_3-0-0_089085_2017-12-02_final
2017-12-03 09:15:03	ga_ls8c_ard_3-0-0_089086_2017-12-02_final
2017-12-18 10:10:43	ga_ls8c_ard_3-0-0_098086_2017-12-18_final
2017-12-19 09:15:06	ga_ls8c_ard_3-0-0_089086_2017-12-18_final
2017-12-24 09:33:38	ga_ls8c_ard_3-0-0_092086_2017-12-24_final
2017-12-26 09:21:16	ga_ls8c_ard_3-0-0_090086_2017-12-25_final
2017-12-27 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-12-27_final
2018-01-03 10:10:40	ga_ls8c_ard_3-0-0_098086_2018-01-03_final
2018-01-04 09:15:03	ga_ls8c_ard_3-0-0_089086_2018-01-03_final
2018-01-09 09:33:33	ga_ls8c_ard_3-0-0_092086_2018-01-09_final
2018-01-11 09:20:47	ga_ls8c_ard_3-0-0_090085_2018-01-10_final
2018-01-11 09:21:10	ga_ls8c_ard_3-0-0_090086_2018-01-10_final
2018-01-12 10:04:26	ga_ls8c_ard_3-0-0_097086_2018-01-12_final
2018-01-19 10:10:33	ga_ls8c_ard_3-0-0_098086_2018-01-19_final
2018-01-20 09:14:55	ga_ls8c_ard_3-0-0_089086_2018-01-19_final
2019-04-04 09:20:37	ga_ls8c_ard_3-1-0_090086_2019-04-03_final
2019-04-05 10:03:52	ga_ls8c_ard_3-1-0_097086_2019-04-05_final
2019-05-06 09:20:09	ga_ls8c_ard_3-0-0_090085_2019-05-05_final
2019-05-06 09:20:33	ga_ls8c_ard_3-0-0_090086_2019-05-05_final
2019-05-07 10:03:26	ga_ls8c_ard_3-0-0_097085_2019-05-07_final
2019-05-07 10:03:50	ga_ls8c_ard_3-0-0_097086_2019-05-07_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-15 10:10:21	ga_ls8c_ard_3-1-0_098086_2019-06-15_final
2019-06-16 09:14:44	ga_ls8c_ard_3-1-0_089086_2019-06-15_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
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-24 10:16:18	ga_ls8c_ard_3-1-0_099085_2019-07-24_final
2019-07-25 09:20:41	ga_ls8c_ard_3-1-0_090085_2019-07-24_final
2019-07-25 09:21:05	ga_ls8c_ard_3-1-0_090086_2019-07-24_final
2019-08-04 09:58:15	ga_ls8c_ard_3-1-0_096086_2019-08-04_final
2019-09-02 09:27:28	ga_ls8c_ard_3-1-0_091086_2019-09-01_final
2019-09-09 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-09-09_final
2019-09-09 11:12:10	ga_ls8c_ard_3-1-0_108085_2019-09-09_final
2019-09-11 09:21:20	ga_ls8c_ard_3-1-0_090086_2019-09-10_final
2019-09-19 10:10:26	ga_ls8c_ard_3-1-0_098085_2019-09-19_final
2019-09-19 10:10:50	ga_ls8c_ard_3-1-0_098086_2019-09-19_final
2019-09-20 09:14:49	ga_ls8c_ard_3-1-0_089085_2019-09-19_final
2019-09-20 09:15:13	ga_ls8c_ard_3-1-0_089086_2019-09-19_final
2019-09-21 09:58:05	ga_ls8c_ard_3-1-0_096085_2019-09-21_final
2019-09-21 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-09-21_final
2019-10-20 09:27:40	ga_ls8c_ard_3-1-0_091086_2019-10-19_final
2019-11-03 11:18:30	ga_ls8c_ard_3-1-0_109085_2019-11-03_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2019-12-05 09:39:33	ga_ls8c_ard_3-1-0_093085_2019-12-05_final
2019-12-05 09:39:57	ga_ls8c_ard_3-1-0_093086_2019-12-05_final
2020-01-11 09:58:22	ga_ls8c_ard_3-1-0_096086_2020-01-11_final
2020-01-13 09:46:00	ga_ls8c_ard_3-1-0_094086_2020-01-13_final
2020-01-20 09:52:09	ga_ls8c_ard_3-1-0_095086_2020-01-20_final
2020-01-22 09:39:46	ga_ls8c_ard_3-1-0_093086_2020-01-22_final
2020-01-27 09:58:17	ga_ls8c_ard_3-1-0_096086_2020-01-27_final
2020-01-29 09:45:55	ga_ls8c_ard_3-1-0_094086_2020-01-29_final
2020-02-05 09:52:03	ga_ls8c_ard_3-1-0_095086_2020-02-05_final
2020-02-07 09:39:41	ga_ls8c_ard_3-1-0_093086_2020-02-07_final
2020-03-08 09:51:54	ga_ls8c_ard_3-1-0_095086_2020-03-08_final
2020-03-10 09:39:32	ga_ls8c_ard_3-1-0_093086_2020-03-10_final
2020-03-15 09:58:02	ga_ls8c_ard_3-1-0_096086_2020-03-15_final
2020-03-17 09:45:39	ga_ls8c_ard_3-1-0_094086_2020-03-17_final
2020-03-19 09:33:16	ga_ls8c_ard_3-1-0_092086_2020-03-19_final
2020-03-21 09:20:54	ga_ls8c_ard_3-1-0_090086_2020-03-20_final
2020-03-22 10:04:09	ga_ls8c_ard_3-1-0_097086_2020-03-22_final
2020-03-24 09:51:46	ga_ls8c_ard_3-1-0_095086_2020-03-24_final
2020-03-26 09:39:23	ga_ls8c_ard_3-1-0_093086_2020-03-26_final
2020-04-09 09:51:38	ga_ls8c_ard_3-1-0_095086_2020-04-09_final
2020-04-11 09:39:15	ga_ls8c_ard_3-1-0_093086_2020-04-11_final
2020-04-25 09:51:31	ga_ls8c_ard_3-1-0_095086_2020-04-25_final
2020-04-27 09:39:08	ga_ls8c_ard_3-1-0_093086_2020-04-27_final
2020-04-29 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-04-28_final
2020-05-02 09:57:38	ga_ls8c_ard_3-1-0_096086_2020-05-02_final
2020-05-04 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-04_final
2020-05-06 09:32:52	ga_ls8c_ard_3-1-0_092086_2020-05-06_final
2020-05-08 09:20:29	ga_ls8c_ard_3-1-0_090086_2020-05-07_final
2020-05-09 10:03:21	ga_ls8c_ard_3-1-0_097085_2020-05-09_final
2020-05-09 10:03:44	ga_ls8c_ard_3-1-0_097086_2020-05-09_final
2020-05-11 09:51:23	ga_ls8c_ard_3-1-0_095086_2020-05-11_final
2020-05-11 11:29:53	ga_ls8c_ard_3-1-0_111085_2020-05-11_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-05-13 11:17:31	ga_ls8c_ard_3-1-0_109085_2020-05-13_final
2020-05-18 09:57:12	ga_ls8c_ard_3-1-0_096085_2020-05-18_final
2020-05-18 09:57:36	ga_ls8c_ard_3-1-0_096086_2020-05-18_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 11:23:44	ga_ls8c_ard_3-1-0_110085_2020-05-20_final
2020-05-24 09:20:08	ga_ls8c_ard_3-1-0_090085_2020-05-23_final
2020-05-25 10:03:24	ga_ls8c_ard_3-1-0_097085_2020-05-25_final
2020-05-25 10:03:48	ga_ls8c_ard_3-1-0_097086_2020-05-25_final
2020-05-27 09:51:27	ga_ls8c_ard_3-1-0_095086_2020-05-27_final
2020-05-27 11:29:56	ga_ls8c_ard_3-1-0_111085_2020-05-27_final
2020-05-29 09:39:06	ga_ls8c_ard_3-1-0_093086_2020-05-29_final
2020-05-29 11:17:35	ga_ls8c_ard_3-1-0_109085_2020-05-29_final
2020-06-19 09:57:27	ga_ls8c_ard_3-1-0_096085_2020-06-19_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_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