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
2013-11-16 11:26:35	ga_ls8c_ard_3-0-0_111071_2013-11-16_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2013-11-18 11:17:47	ga_ls8c_ard_3-0-0_109080_2013-11-18_final
2013-11-18 11:18:11	ga_ls8c_ard_3-0-0_109081_2013-11-18_final
2014-02-04 11:26:43	ga_ls8c_ard_3-0-0_111073_2014-02-04_final
2014-02-04 11:27:07	ga_ls8c_ard_3-0-0_111074_2014-02-04_final
2014-02-04 11:27:30	ga_ls8c_ard_3-0-0_111075_2014-02-04_final
2014-02-04 11:27:54	ga_ls8c_ard_3-0-0_111076_2014-02-04_final
2014-02-04 11:28:18	ga_ls8c_ard_3-0-0_111077_2014-02-04_final
2014-02-06 11:17:07	ga_ls8c_ard_3-0-0_109080_2014-02-06_final
2014-02-06 11:17:31	ga_ls8c_ard_3-0-0_109081_2014-02-06_final
2014-02-06 11:17:55	ga_ls8c_ard_3-0-0_109082_2014-02-06_final
2014-02-06 11:18:18	ga_ls8c_ard_3-0-0_109083_2014-02-06_final
2014-02-06 11:18:42	ga_ls8c_ard_3-0-0_109084_2014-02-06_final
2014-03-10 11:16:40	ga_ls8c_ard_3-0-0_109080_2014-03-10_final
2014-03-10 11:17:04	ga_ls8c_ard_3-0-0_109081_2014-03-10_final
2014-03-10 11:17:28	ga_ls8c_ard_3-0-0_109082_2014-03-10_final
2014-03-10 11:17:52	ga_ls8c_ard_3-0-0_109083_2014-03-10_final
2014-03-10 11:18:16	ga_ls8c_ard_3-0-0_109084_2014-03-10_final
2014-03-31 11:29:42	ga_ls8c_ard_3-0-0_112067_2014-03-31_final
2014-03-31 11:30:54	ga_ls8c_ard_3-0-0_112070_2014-03-31_final
2014-03-31 11:31:18	ga_ls8c_ard_3-0-0_112071_2014-03-31_final
2014-03-31 11:31:42	ga_ls8c_ard_3-0-0_112072_2014-03-31_final
2014-05-02 11:29:11	ga_ls8c_ard_3-0-0_112067_2014-05-02_final
2014-05-11 11:24:29	ga_ls8c_ard_3-0-0_111071_2014-05-11_final
2014-05-11 11:24:53	ga_ls8c_ard_3-0-0_111072_2014-05-11_final
2014-05-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2014-05-11_final
2014-05-11 11:25:41	ga_ls8c_ard_3-0-0_111074_2014-05-11_final
2014-05-11 11:26:05	ga_ls8c_ard_3-0-0_111075_2014-05-11_final
2014-05-11 11:26:29	ga_ls8c_ard_3-0-0_111076_2014-05-11_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-06-03 11:29:06	ga_ls8c_ard_3-0-0_112067_2014-06-03_final
2014-06-03 11:29:30	ga_ls8c_ard_3-0-0_112068_2014-06-03_final
2014-06-03 11:29:54	ga_ls8c_ard_3-0-0_112069_2014-06-03_final
2014-06-03 11:30:18	ga_ls8c_ard_3-0-0_112070_2014-06-03_final
2014-06-03 11:30:42	ga_ls8c_ard_3-0-0_112071_2014-06-03_final
2014-06-03 11:31:05	ga_ls8c_ard_3-0-0_112072_2014-06-03_final
2016-06-08 11:29:10	ga_ls8c_ard_3-0-0_112067_2016-06-08_final
2016-06-08 11:29:33	ga_ls8c_ard_3-0-0_112068_2016-06-08_final
2016-06-08 11:29:57	ga_ls8c_ard_3-0-0_112069_2016-06-08_final
2016-06-08 11:30:21	ga_ls8c_ard_3-0-0_112070_2016-06-08_final
2016-06-08 11:30:45	ga_ls8c_ard_3-0-0_112071_2016-06-08_final
2016-06-08 11:31:09	ga_ls8c_ard_3-0-0_112072_2016-06-08_final
2016-09-28 11:29:42	ga_ls8c_ard_3-0-0_112067_2016-09-28_final
2016-09-28 11:30:06	ga_ls8c_ard_3-0-0_112068_2016-09-28_final
2016-09-28 11:30:30	ga_ls8c_ard_3-0-0_112069_2016-09-28_final
2016-09-28 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-28_final
2016-09-28 11:31:18	ga_ls8c_ard_3-0-0_112071_2016-09-28_final
2016-09-28 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-28_final
2018-03-19 11:24:26	ga_ls8c_ard_3-0-0_111071_2018-03-19_final
2018-03-19 11:24:50	ga_ls8c_ard_3-0-0_111072_2018-03-19_final
2018-03-19 11:25:14	ga_ls8c_ard_3-0-0_111073_2018-03-19_final
2018-03-19 11:25:37	ga_ls8c_ard_3-0-0_111074_2018-03-19_final
2018-03-19 11:26:01	ga_ls8c_ard_3-0-0_111075_2018-03-19_final
2018-03-19 11:26:25	ga_ls8c_ard_3-0-0_111076_2018-03-19_final
2018-03-19 11:26:49	ga_ls8c_ard_3-0-0_111077_2018-03-19_final
2018-05-04 11:34:47	ga_ls8c_ard_3-0-0_113067_2018-05-04_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-06-07 11:23:41	ga_ls8c_ard_3-0-0_111071_2018-06-07_final
2018-06-07 11:24:05	ga_ls8c_ard_3-0-0_111072_2018-06-07_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-06-07 11:24:53	ga_ls8c_ard_3-0-0_111074_2018-06-07_final
2018-06-07 11:25:17	ga_ls8c_ard_3-0-0_111075_2018-06-07_final
2018-06-07 11:25:40	ga_ls8c_ard_3-0-0_111076_2018-06-07_final
2018-06-07 11:26:04	ga_ls8c_ard_3-0-0_111077_2018-06-07_final
2018-06-21 11:34:37	ga_ls8c_ard_3-0-0_113067_2018-06-21_final
2018-07-07 11:34:46	ga_ls8c_ard_3-0-0_113067_2018-07-07_final
2020-10-27 11:20:38	ga_ls8c_ard_3-1-0_110075_2020-10-27_final
2020-10-27 11:21:02	ga_ls8c_ard_3-1-0_110076_2020-10-27_final
2020-10-27 11:21:26	ga_ls8c_ard_3-1-0_110077_2020-10-27_final
2020-10-27 11:21:50	ga_ls8c_ard_3-1-0_110078_2020-10-27_final
2020-10-27 11:22:14	ga_ls8c_ard_3-1-0_110079_2020-10-27_final
2020-10-27 11:22:38	ga_ls8c_ard_3-1-0_110080_2020-10-27_final
2020-10-27 11:23:02	ga_ls8c_ard_3-1-0_110081_2020-10-27_final
2020-10-29 11:11:52	ga_ls8c_ard_3-1-0_108084_2020-10-29_final
2020-10-29 11:12:15	ga_ls8c_ard_3-1-0_108085_2020-10-29_final
2020-12-16 11:11:53	ga_ls8c_ard_3-1-0_108084_2020-12-16_final
2020-12-16 11:12:17	ga_ls8c_ard_3-1-0_108085_2020-12-16_final
2020-12-19 11:35:59	ga_ls8c_ard_3-2-0_113067_2020-12-19_final
2020-12-21 11:25:13	ga_ls8c_ard_3-2-0_111071_2020-12-21_final
2020-12-21 11:25:37	ga_ls8c_ard_3-2-0_111072_2020-12-21_final
2020-12-21 11:26:01	ga_ls8c_ard_3-2-0_111073_2020-12-21_final
2020-12-21 11:26:25	ga_ls8c_ard_3-2-0_111074_2020-12-21_final
2020-12-21 11:26:49	ga_ls8c_ard_3-2-0_111075_2020-12-21_final
2020-12-21 11:27:13	ga_ls8c_ard_3-2-0_111076_2020-12-21_final
2020-12-21 11:27:37	ga_ls8c_ard_3-2-0_111077_2020-12-21_final
2021-03-06 11:11:29	ga_ls8c_ard_3-2-0_108084_2021-03-06_final
2021-03-06 11:11:53	ga_ls8c_ard_3-2-0_108085_2021-03-06_final
2021-03-13 11:15:59	ga_ls8c_ard_3-2-0_109080_2021-03-13_final
2021-03-13 11:16:23	ga_ls8c_ard_3-2-0_109081_2021-03-13_final
2021-03-13 11:16:47	ga_ls8c_ard_3-2-0_109082_2021-03-13_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-03-13 11:17:35	ga_ls8c_ard_3-2-0_109084_2021-03-13_final
2021-03-13 11:17:59	ga_ls8c_ard_3-2-0_109085_2021-03-13_final
2021-03-25 11:35:27	ga_ls8c_ard_3-2-0_113067_2021-03-25_final
2021-03-29 11:15:54	ga_ls8c_ard_3-2-0_109080_2021-03-29_final
2021-03-29 11:16:18	ga_ls8c_ard_3-2-0_109081_2021-03-29_final
2021-03-29 11:16:42	ga_ls8c_ard_3-2-0_109082_2021-03-29_final
2021-03-29 11:17:06	ga_ls8c_ard_3-2-0_109083_2021-03-29_final
2021-03-29 11:17:30	ga_ls8c_ard_3-2-0_109084_2021-03-29_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years