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
2015-10-05 09:46:01	ga_ls8c_ard_3-0-0_095071_2015-10-05_final
2015-10-05 09:46:25	ga_ls8c_ard_3-0-0_095072_2015-10-05_final
2015-10-05 09:46:49	ga_ls8c_ard_3-0-0_095073_2015-10-05_final
2015-10-05 09:47:13	ga_ls8c_ard_3-0-0_095074_2015-10-05_final
2015-10-05 09:47:37	ga_ls8c_ard_3-0-0_095075_2015-10-05_final
2015-10-05 09:48:01	ga_ls8c_ard_3-0-0_095076_2015-10-05_final
2015-10-07 09:37:15	ga_ls8c_ard_3-0-0_093080_2015-10-07_final
2015-10-07 09:37:39	ga_ls8c_ard_3-0-0_093081_2015-10-07_final
2015-10-07 09:38:03	ga_ls8c_ard_3-0-0_093082_2015-10-07_final
2015-10-07 09:38:27	ga_ls8c_ard_3-0-0_093083_2015-10-07_final
2015-10-07 09:38:51	ga_ls8c_ard_3-0-0_093084_2015-10-07_final
2015-10-07 09:39:15	ga_ls8c_ard_3-0-0_093085_2015-10-07_final
2015-10-18 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-10-17_final
2015-10-19 09:56:48	ga_ls8c_ard_3-0-0_097067_2015-10-19_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-06 09:46:31	ga_ls8c_ard_3-0-0_095072_2015-11-06_final
2015-11-06 09:46:55	ga_ls8c_ard_3-0-0_095073_2015-11-06_final
2015-11-06 09:47:19	ga_ls8c_ard_3-0-0_095074_2015-11-06_final
2015-11-06 09:47:43	ga_ls8c_ard_3-0-0_095075_2015-11-06_final
2015-11-06 09:48:07	ga_ls8c_ard_3-0-0_095076_2015-11-06_final
2015-11-08 09:37:21	ga_ls8c_ard_3-0-0_093080_2015-11-08_final
2015-11-08 09:37:45	ga_ls8c_ard_3-0-0_093081_2015-11-08_final
2015-11-08 09:38:09	ga_ls8c_ard_3-0-0_093082_2015-11-08_final
2015-11-08 09:38:33	ga_ls8c_ard_3-0-0_093083_2015-11-08_final
2015-11-08 09:38:57	ga_ls8c_ard_3-0-0_093084_2015-11-08_final
2015-11-08 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-11-08_final
2016-01-04 09:32:44	ga_ls8c_ard_3-0-0_092084_2016-01-04_final
2016-01-04 09:33:08	ga_ls8c_ard_3-0-0_092085_2016-01-04_final
2016-01-04 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-04_final
2016-01-04 09:33:56	ga_ls8c_ard_3-0-0_092087_2016-01-04_final
2016-01-04 09:34:20	ga_ls8c_ard_3-0-0_092088_2016-01-04_final
2016-01-04 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-04_final
2016-01-06 09:22:45	ga_ls8c_ard_3-0-0_090090_2016-01-05_final
2016-01-06 09:23:09	ga_ls8c_ard_3-0-0_090091_2016-01-05_final
2016-04-09 09:32:16	ga_ls8c_ard_3-0-0_092084_2016-04-09_final
2016-04-09 09:32:40	ga_ls8c_ard_3-0-0_092085_2016-04-09_final
2016-04-09 09:33:04	ga_ls8c_ard_3-0-0_092086_2016-04-09_final
2016-04-09 09:33:28	ga_ls8c_ard_3-0-0_092087_2016-04-09_final
2016-04-09 09:33:52	ga_ls8c_ard_3-0-0_092088_2016-04-09_final
2016-04-09 09:34:16	ga_ls8c_ard_3-0-0_092089_2016-04-09_final
2016-04-11 09:22:18	ga_ls8c_ard_3-0-0_090090_2016-04-10_final
2016-04-11 09:22:42	ga_ls8c_ard_3-0-0_090091_2016-04-10_final
2016-04-12 09:56:23	ga_ls8c_ard_3-0-0_097067_2016-04-12_final
2018-10-22 09:41:18	ga_ls8c_ard_3-0-0_094075_2018-10-22_final
2018-10-22 09:41:42	ga_ls8c_ard_3-0-0_094076_2018-10-22_final
2018-10-22 09:42:06	ga_ls8c_ard_3-0-0_094077_2018-10-22_final
2018-10-22 09:42:30	ga_ls8c_ard_3-0-0_094078_2018-10-22_final
2018-10-22 09:42:53	ga_ls8c_ard_3-0-0_094079_2018-10-22_final
2018-10-22 09:43:17	ga_ls8c_ard_3-0-0_094080_2018-10-22_final
2018-10-22 09:43:41	ga_ls8c_ard_3-0-0_094081_2018-10-22_final
2018-12-07 09:50:29	ga_ls8c_ard_3-0-0_096067_2018-12-07_final
2018-12-07 09:50:53	ga_ls8c_ard_3-0-0_096068_2018-12-07_final
2018-12-07 09:51:17	ga_ls8c_ard_3-0-0_096069_2018-12-07_final
2018-12-07 09:51:41	ga_ls8c_ard_3-0-0_096070_2018-12-07_final
2018-12-07 09:52:05	ga_ls8c_ard_3-0-0_096071_2018-12-07_final
2018-12-07 09:52:29	ga_ls8c_ard_3-0-0_096072_2018-12-07_final
2018-12-09 09:41:42	ga_ls8c_ard_3-0-0_094076_2018-12-09_final
2018-12-09 09:42:06	ga_ls8c_ard_3-0-0_094077_2018-12-09_final
2018-12-09 09:42:30	ga_ls8c_ard_3-0-0_094078_2018-12-09_final
2018-12-09 09:42:54	ga_ls8c_ard_3-0-0_094079_2018-12-09_final
2018-12-09 09:43:18	ga_ls8c_ard_3-0-0_094080_2018-12-09_final
2018-12-09 09:43:42	ga_ls8c_ard_3-0-0_094081_2018-12-09_final
2019-02-02 09:45:46	ga_ls8c_ard_3-0-0_095071_2019-02-02_final
2019-02-02 09:46:10	ga_ls8c_ard_3-0-0_095072_2019-02-02_final
2019-02-02 09:46:34	ga_ls8c_ard_3-0-0_095073_2019-02-02_final
2019-02-02 09:46:58	ga_ls8c_ard_3-0-0_095074_2019-02-02_final
2019-02-02 09:47:22	ga_ls8c_ard_3-0-0_095075_2019-02-02_final
2019-02-02 09:47:46	ga_ls8c_ard_3-0-0_095076_2019-02-02_final
2019-02-02 09:48:10	ga_ls8c_ard_3-0-0_095077_2019-02-02_final
2019-03-13 09:50:12	ga_ls8c_ard_3-1-0_096067_2019-03-13_final
2019-03-13 09:50:36	ga_ls8c_ard_3-1-0_096068_2019-03-13_final
2019-03-13 09:51:00	ga_ls8c_ard_3-1-0_096069_2019-03-13_final
2019-03-13 09:51:24	ga_ls8c_ard_3-1-0_096070_2019-03-13_final
2019-03-13 09:51:47	ga_ls8c_ard_3-1-0_096071_2019-03-13_final
2019-03-13 09:52:11	ga_ls8c_ard_3-1-0_096072_2019-03-13_final
2020-11-26 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-11-26_final
2020-11-26 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-11-26_final
2020-11-26 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-11-26_final
2020-11-26 09:52:07	ga_ls8c_ard_3-1-0_096070_2020-11-26_final
2020-11-26 09:52:31	ga_ls8c_ard_3-1-0_096071_2020-11-26_final
2020-11-26 09:52:55	ga_ls8c_ard_3-1-0_096072_2020-11-26_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
2020-11-28 09:42:34	ga_ls8c_ard_3-1-0_094077_2020-11-28_final
2020-11-28 09:42:58	ga_ls8c_ard_3-1-0_094078_2020-11-28_final
2020-11-28 09:43:21	ga_ls8c_ard_3-1-0_094079_2020-11-28_final
2020-11-28 09:43:45	ga_ls8c_ard_3-1-0_094080_2020-11-28_final
2020-11-28 09:44:09	ga_ls8c_ard_3-1-0_094081_2020-11-28_final
2020-12-12 09:50:56	ga_ls8c_ard_3-1-0_096067_2020-12-12_final
2020-12-12 09:51:20	ga_ls8c_ard_3-1-0_096068_2020-12-12_final
2020-12-12 09:51:44	ga_ls8c_ard_3-1-0_096069_2020-12-12_final
2020-12-12 09:52:08	ga_ls8c_ard_3-1-0_096070_2020-12-12_final
2020-12-12 09:52:32	ga_ls8c_ard_3-1-0_096071_2020-12-12_final
2020-12-12 09:52:56	ga_ls8c_ard_3-1-0_096072_2020-12-12_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

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