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
2013-03-26 09:41:16	ga_ls8c_ard_3-0-0_093087_2013-03-26_final
2013-04-03 09:54:11	ga_ls8c_ard_3-0-0_095087_2013-04-03_final
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-06-04 09:35:54	ga_ls8c_ard_3-0-0_092087_2013-06-04_final
2013-06-06 09:23:32	ga_ls8c_ard_3-0-0_090087_2013-06-05_final
2013-06-11 09:42:02	ga_ls8c_ard_3-0-0_093087_2013-06-11_final
2013-06-22 09:23:24	ga_ls8c_ard_3-0-0_090087_2013-06-21_final
2013-06-27 09:41:58	ga_ls8c_ard_3-0-0_093087_2013-06-27_final
2013-06-29 09:29:38	ga_ls8c_ard_3-0-0_091087_2013-06-28_final
2013-07-04 09:48:11	ga_ls8c_ard_3-0-0_094087_2013-07-04_final
2013-07-11 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-07-11_final
2013-07-15 09:29:39	ga_ls8c_ard_3-0-0_091087_2013-07-14_final
2013-07-20 09:48:10	ga_ls8c_ard_3-0-0_094087_2013-07-20_final
2013-07-24 09:23:27	ga_ls8c_ard_3-0-0_090087_2013-07-23_final
2013-07-31 09:29:40	ga_ls8c_ard_3-0-0_091087_2013-07-30_final
2013-08-21 09:48:15	ga_ls8c_ard_3-0-0_094087_2013-08-21_final
2015-12-01 09:46:21	ga_ls8c_ard_3-0-0_094087_2015-12-01_final
2015-12-03 09:34:00	ga_ls8c_ard_3-0-0_092087_2015-12-03_final
2015-12-17 09:46:21	ga_ls8c_ard_3-0-0_094087_2015-12-17_final
2015-12-17 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-17_final
2015-12-19 09:33:59	ga_ls8c_ard_3-0-0_092087_2015-12-19_final
2016-08-13 09:46:15	ga_ls8c_ard_3-0-0_094087_2016-08-13_final
2016-08-15 09:33:55	ga_ls8c_ard_3-0-0_092087_2016-08-15_final
2016-08-15 09:34:19	ga_ls8c_ard_3-0-0_092088_2016-08-15_final
2016-08-24 09:27:48	ga_ls8c_ard_3-0-0_091087_2016-08-23_final
2016-08-26 09:15:27	ga_ls8c_ard_3-0-0_089087_2016-08-25_final
2016-08-26 09:15:51	ga_ls8c_ard_3-0-0_089088_2016-08-25_final
2016-08-27 09:58:43	ga_ls8c_ard_3-0-0_096087_2016-08-27_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-31 09:34:02	ga_ls8c_ard_3-0-0_092087_2016-08-31_final
2016-08-31 09:34:26	ga_ls8c_ard_3-0-0_092088_2016-08-31_final
2016-09-16 09:34:05	ga_ls8c_ard_3-0-0_092087_2016-09-16_final
2016-09-18 09:21:43	ga_ls8c_ard_3-0-0_090087_2016-09-17_final
2016-09-30 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-30_final
2016-10-02 09:34:06	ga_ls8c_ard_3-0-0_092087_2016-10-02_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-10-18 09:34:11	ga_ls8c_ard_3-0-0_092087_2016-10-18_final
2016-11-03 09:34:12	ga_ls8c_ard_3-0-0_092087_2016-11-03_final
2016-11-03 09:34:36	ga_ls8c_ard_3-0-0_092088_2016-11-03_final
2016-11-05 09:21:50	ga_ls8c_ard_3-0-0_090087_2016-11-04_final
2016-11-05 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-04_final
2017-03-23 09:58:12	ga_ls8c_ard_3-0-0_096087_2017-03-23_final
2017-03-25 09:45:50	ga_ls8c_ard_3-0-0_094087_2017-03-25_final
2017-04-01 09:51:58	ga_ls8c_ard_3-0-0_095087_2017-04-01_final
2017-04-03 09:39:35	ga_ls8c_ard_3-0-0_093087_2017-04-03_final
2017-05-03 09:51:40	ga_ls8c_ard_3-0-0_095087_2017-05-03_final
2017-05-05 09:39:20	ga_ls8c_ard_3-0-0_093087_2017-05-05_final
2017-05-05 09:39:44	ga_ls8c_ard_3-0-0_093088_2017-05-05_final
2017-05-10 09:57:56	ga_ls8c_ard_3-0-0_096087_2017-05-10_final
2017-05-12 09:45:36	ga_ls8c_ard_3-0-0_094087_2017-05-12_final
2017-05-12 09:46:00	ga_ls8c_ard_3-0-0_094088_2017-05-12_final
2017-05-26 09:58:07	ga_ls8c_ard_3-0-0_096087_2017-05-26_final
2017-05-28 09:45:47	ga_ls8c_ard_3-0-0_094087_2017-05-28_final
2017-06-11 09:58:15	ga_ls8c_ard_3-0-0_096087_2017-06-11_final
2017-06-13 09:45:54	ga_ls8c_ard_3-0-0_094087_2017-06-13_final
2017-06-13 09:46:18	ga_ls8c_ard_3-0-0_094088_2017-06-13_final
2017-06-20 09:52:07	ga_ls8c_ard_3-0-0_095087_2017-06-20_final
2017-06-22 09:39:46	ga_ls8c_ard_3-0-0_093087_2017-06-22_final
2017-06-22 09:40:10	ga_ls8c_ard_3-0-0_093088_2017-06-22_final
2017-06-27 09:58:20	ga_ls8c_ard_3-0-0_096087_2017-06-27_final
2017-06-29 09:45:59	ga_ls8c_ard_3-0-0_094087_2017-06-29_final
2017-09-01 09:46:19	ga_ls8c_ard_3-0-0_094087_2017-09-01_final
2017-09-03 09:33:57	ga_ls8c_ard_3-0-0_092087_2017-09-03_final
2019-01-23 09:15:07	ga_ls8c_ard_3-0-0_089087_2019-01-22_final
2019-01-24 09:58:22	ga_ls8c_ard_3-0-0_096087_2019-01-24_final
2019-02-08 09:15:04	ga_ls8c_ard_3-0-0_089087_2019-02-07_final
2019-02-09 09:58:20	ga_ls8c_ard_3-0-0_096087_2019-02-09_final
2019-03-19 09:21:04	ga_ls8c_ard_3-1-0_090087_2019-03-18_final
2019-04-04 09:21:01	ga_ls8c_ard_3-1-0_090087_2019-04-03_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-04-30 09:57:59	ga_ls8c_ard_3-0-0_096087_2019-04-30_final
2019-05-02 09:45:38	ga_ls8c_ard_3-0-0_094087_2019-05-02_final
2019-05-02 09:46:02	ga_ls8c_ard_3-0-0_094088_2019-05-02_final
2019-05-04 09:33:18	ga_ls8c_ard_3-0-0_092087_2019-05-04_final
2019-05-04 09:33:41	ga_ls8c_ard_3-0-0_092088_2019-05-04_final
2019-07-18 09:15:15	ga_ls8c_ard_3-1-0_089087_2019-07-17_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-25 09:21:29	ga_ls8c_ard_3-1-0_090087_2019-07-24_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-08-26 09:22:04	ga_ls8c_ard_3-1-0_090088_2019-08-25_final
2019-09-02 09:27:52	ga_ls8c_ard_3-1-0_091087_2019-09-01_final
2019-09-02 09:28:16	ga_ls8c_ard_3-1-0_091088_2019-09-01_final
2019-09-27 09:21:50	ga_ls8c_ard_3-1-0_090087_2019-09-26_final
2019-09-27 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-09-26_final
2019-10-20 09:28:04	ga_ls8c_ard_3-1-0_091087_2019-10-19_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-03-10 09:39:56	ga_ls8c_ard_3-1-0_093087_2020-03-10_final
2020-03-15 09:58:26	ga_ls8c_ard_3-1-0_096087_2020-03-15_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-24 09:52:10	ga_ls8c_ard_3-1-0_095087_2020-03-24_final
2020-03-26 09:39:47	ga_ls8c_ard_3-1-0_093087_2020-03-26_final
2020-04-02 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-04-02_final
2020-04-04 09:33:31	ga_ls8c_ard_3-1-0_092087_2020-04-04_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-13 09:39:26	ga_ls8c_ard_3-1-0_093087_2020-05-13_final
2020-05-18 09:58:00	ga_ls8c_ard_3-1-0_096087_2020-05-18_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-05-20 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-20_final
2020-05-27 09:51:51	ga_ls8c_ard_3-1-0_095087_2020-05-27_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