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
2013-09-10 09:24:42	ga_ls8c_ard_3-0-0_090090_2013-09-09_final
2013-11-04 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-11-03_final
2013-11-04 09:29:49	ga_ls8c_ard_3-0-0_091088_2013-11-03_final
2013-11-04 09:30:13	ga_ls8c_ard_3-0-0_091089_2013-11-04_final
2013-11-04 09:30:37	ga_ls8c_ard_3-0-0_091090_2013-11-04_final
2014-01-19 09:47:33	ga_ls8c_ard_3-0-0_095072_2014-01-19_final
2014-01-19 09:47:57	ga_ls8c_ard_3-0-0_095073_2014-01-19_final
2014-01-21 09:37:59	ga_ls8c_ard_3-0-0_093079_2014-01-21_final
2014-01-21 09:38:22	ga_ls8c_ard_3-0-0_093080_2014-01-21_final
2014-01-21 09:38:46	ga_ls8c_ard_3-0-0_093081_2014-01-21_final
2014-01-21 09:39:10	ga_ls8c_ard_3-0-0_093082_2014-01-21_final
2014-01-21 09:39:34	ga_ls8c_ard_3-0-0_093083_2014-01-21_final
2014-01-21 09:39:58	ga_ls8c_ard_3-0-0_093084_2014-01-21_final
2014-01-26 09:51:42	ga_ls8c_ard_3-0-0_096067_2014-01-26_final
2014-01-26 09:53:18	ga_ls8c_ard_3-0-0_096071_2014-01-26_final
2017-03-27 09:31:52	ga_ls8c_ard_3-0-0_092083_2017-03-27_final
2017-03-27 09:32:15	ga_ls8c_ard_3-0-0_092084_2017-03-27_final
2017-03-27 09:32:39	ga_ls8c_ard_3-0-0_092085_2017-03-27_final
2017-03-27 09:33:03	ga_ls8c_ard_3-0-0_092086_2017-03-27_final
2017-03-27 09:33:27	ga_ls8c_ard_3-0-0_092087_2017-03-27_final
2017-03-27 09:33:51	ga_ls8c_ard_3-0-0_092088_2017-03-27_final
2017-03-29 09:22:17	ga_ls8c_ard_3-0-0_090090_2017-03-28_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2018-06-16 09:40:19	ga_ls8c_ard_3-0-0_094075_2018-06-16_final
2018-06-16 09:40:43	ga_ls8c_ard_3-0-0_094076_2018-06-16_final
2018-06-16 09:41:07	ga_ls8c_ard_3-0-0_094077_2018-06-16_final
2018-06-16 09:41:31	ga_ls8c_ard_3-0-0_094078_2018-06-16_final
2018-06-16 09:41:55	ga_ls8c_ard_3-0-0_094079_2018-06-16_final
2018-06-16 09:42:19	ga_ls8c_ard_3-0-0_094080_2018-06-16_final
2018-06-30 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-06-30_final
2018-06-30 09:50:02	ga_ls8c_ard_3-0-0_096068_2018-06-30_final
2018-06-30 09:50:26	ga_ls8c_ard_3-0-0_096069_2018-06-30_final
2018-06-30 09:50:50	ga_ls8c_ard_3-0-0_096070_2018-06-30_final
2018-06-30 09:51:14	ga_ls8c_ard_3-0-0_096071_2018-06-30_final
2018-07-02 09:40:29	ga_ls8c_ard_3-0-0_094075_2018-07-02_final
2018-07-02 09:40:53	ga_ls8c_ard_3-0-0_094076_2018-07-02_final
2018-07-02 09:41:17	ga_ls8c_ard_3-0-0_094077_2018-07-02_final
2018-07-02 09:41:41	ga_ls8c_ard_3-0-0_094078_2018-07-02_final
2018-07-02 09:42:05	ga_ls8c_ard_3-0-0_094079_2018-07-02_final
2018-07-02 09:42:29	ga_ls8c_ard_3-0-0_094080_2018-07-02_final
2018-08-17 09:50:02	ga_ls8c_ard_3-0-0_096067_2018-08-17_final
2018-08-17 09:50:26	ga_ls8c_ard_3-0-0_096068_2018-08-17_final
2018-08-17 09:50:50	ga_ls8c_ard_3-0-0_096069_2018-08-17_final
2018-08-17 09:51:14	ga_ls8c_ard_3-0-0_096070_2018-08-17_final
2018-08-17 09:51:38	ga_ls8c_ard_3-0-0_096071_2018-08-17_final
2018-08-19 09:40:53	ga_ls8c_ard_3-0-0_094075_2018-08-19_final
2018-08-19 09:41:17	ga_ls8c_ard_3-0-0_094076_2018-08-19_final
2018-08-19 09:41:41	ga_ls8c_ard_3-0-0_094077_2018-08-19_final
2018-08-19 09:42:05	ga_ls8c_ard_3-0-0_094078_2018-08-19_final
2018-08-19 09:42:29	ga_ls8c_ard_3-0-0_094079_2018-08-19_final
2018-08-19 09:42:53	ga_ls8c_ard_3-0-0_094080_2018-08-19_final
2018-09-02 09:50:09	ga_ls8c_ard_3-0-0_096067_2018-09-02_final
2018-09-02 09:50:33	ga_ls8c_ard_3-0-0_096068_2018-09-02_final
2018-09-02 09:50:57	ga_ls8c_ard_3-0-0_096069_2018-09-02_final
2018-09-02 09:51:21	ga_ls8c_ard_3-0-0_096070_2018-09-02_final
2018-09-02 09:51:45	ga_ls8c_ard_3-0-0_096071_2018-09-02_final
2018-09-04 09:40:59	ga_ls8c_ard_3-0-0_094075_2018-09-04_final
2018-09-04 09:41:23	ga_ls8c_ard_3-0-0_094076_2018-09-04_final
2018-09-04 09:41:47	ga_ls8c_ard_3-0-0_094077_2018-09-04_final
2018-09-04 09:42:11	ga_ls8c_ard_3-0-0_094078_2018-09-04_final
2018-09-04 09:42:35	ga_ls8c_ard_3-0-0_094079_2018-09-04_final
2018-09-04 09:42:59	ga_ls8c_ard_3-0-0_094080_2018-09-04_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2020-10-02 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-10-02_final
2020-10-02 09:46:43	ga_ls8c_ard_3-1-0_095072_2020-10-02_final
2020-10-02 09:47:07	ga_ls8c_ard_3-1-0_095073_2020-10-02_final
2020-10-02 09:47:31	ga_ls8c_ard_3-1-0_095074_2020-10-02_final
2020-10-02 09:47:55	ga_ls8c_ard_3-1-0_095075_2020-10-02_final
2020-10-02 09:48:19	ga_ls8c_ard_3-1-0_095076_2020-10-02_final
2020-10-04 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-10-04_final
2020-10-04 09:37:33	ga_ls8c_ard_3-1-0_093080_2020-10-04_final
2020-10-04 09:37:57	ga_ls8c_ard_3-1-0_093081_2020-10-04_final
2020-10-04 09:38:21	ga_ls8c_ard_3-1-0_093082_2020-10-04_final
2020-10-04 09:38:45	ga_ls8c_ard_3-1-0_093083_2020-10-04_final
2020-10-04 09:39:09	ga_ls8c_ard_3-1-0_093084_2020-10-04_final
2020-10-09 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-09_final
2020-10-09 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-10-09_final
2020-10-09 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-09_final
2020-10-09 09:52:07	ga_ls8c_ard_3-1-0_096070_2020-10-09_final
2020-10-09 09:52:31	ga_ls8c_ard_3-1-0_096071_2020-10-09_final
2020-10-11 09:41:45	ga_ls8c_ard_3-1-0_094075_2020-10-11_final
2020-10-11 09:42:09	ga_ls8c_ard_3-1-0_094076_2020-10-11_final
2020-10-11 09:42:33	ga_ls8c_ard_3-1-0_094077_2020-10-11_final
2020-10-11 09:42:57	ga_ls8c_ard_3-1-0_094078_2020-10-11_final
2020-10-11 09:43:21	ga_ls8c_ard_3-1-0_094079_2020-10-11_final
2020-10-11 09:43:45	ga_ls8c_ard_3-1-0_094080_2020-10-11_final
2020-11-28 09:41:46	ga_ls8c_ard_3-1-0_094075_2020-11-28_final
2020-11-28 09:42:10	ga_ls8c_ard_3-1-0_094076_2020-11-28_final
2020-12-14 09:41:46	ga_ls8c_ard_3-1-0_094075_2020-12-14_final
2020-12-14 09:42:10	ga_ls8c_ard_3-1-0_094076_2020-12-14_final
2020-12-14 09:42:34	ga_ls8c_ard_3-1-0_094077_2020-12-14_final
2020-12-14 09:42:58	ga_ls8c_ard_3-1-0_094078_2020-12-14_final
2020-12-14 09:43:22	ga_ls8c_ard_3-1-0_094079_2020-12-14_final
2020-12-14 09:43:46	ga_ls8c_ard_3-1-0_094080_2020-12-14_final
2021-04-16 09:27:21	ga_ls8c_ard_3-2-0_091087_2021-04-15_final
2021-04-16 09:27:45	ga_ls8c_ard_3-2-0_091088_2021-04-15_final
2021-04-16 09:28:09	ga_ls8c_ard_3-2-0_091089_2021-04-15_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-04-16 09:28:57	ga_ls8c_ard_3-2-0_091091_2021-04-15_final
2021-04-19 09:50:15	ga_ls8c_ard_3-2-0_096067_2021-04-19_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