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
2015-09-28 11:21:06	ga_ls8c_ard_3-0-0_110077_2015-09-28_final
2015-09-28 11:21:30	ga_ls8c_ard_3-0-0_110078_2015-09-28_final
2015-09-28 11:21:54	ga_ls8c_ard_3-1-0_110079_2015-09-28_final
2015-09-28 11:22:18	ga_ls8c_ard_3-0-0_110080_2015-09-28_final
2015-09-28 11:22:42	ga_ls8c_ard_3-0-0_110081_2015-09-28_final
2015-09-28 11:23:06	ga_ls8c_ard_3-0-0_110082_2015-09-28_final
2015-09-30 11:11:57	ga_ls8c_ard_3-0-0_108085_2015-09-30_final
2017-09-15 11:29:59	ga_ls8c_ard_3-0-0_112068_2017-09-15_final
2017-09-15 11:30:23	ga_ls8c_ard_3-0-0_112069_2017-09-15_final
2017-09-15 11:30:47	ga_ls8c_ard_3-0-0_112070_2017-09-15_final
2017-09-15 11:31:11	ga_ls8c_ard_3-0-0_112071_2017-09-15_final
2017-09-15 11:31:35	ga_ls8c_ard_3-0-0_112072_2017-09-15_final
2017-09-15 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-09-15_final
2017-10-01 11:30:06	ga_ls8c_ard_3-0-0_112068_2017-10-01_final
2017-10-01 11:30:30	ga_ls8c_ard_3-0-0_112069_2017-10-01_final
2017-10-01 11:30:54	ga_ls8c_ard_3-0-0_112070_2017-10-01_final
2017-10-01 11:31:18	ga_ls8c_ard_3-0-0_112071_2017-10-01_final
2017-10-01 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-10-01_final
2017-10-01 11:32:06	ga_ls8c_ard_3-0-0_112073_2017-10-01_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2017-11-02 11:30:34	ga_ls8c_ard_3-0-0_112069_2017-11-02_final
2017-11-02 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-11-02_final
2017-11-02 11:31:22	ga_ls8c_ard_3-0-0_112071_2017-11-02_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2017-12-04 11:30:01	ga_ls8c_ard_3-0-0_112068_2017-12-04_final
2017-12-04 11:30:25	ga_ls8c_ard_3-0-0_112069_2017-12-04_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2017-12-04 11:31:13	ga_ls8c_ard_3-0-0_112071_2017-12-04_final
2017-12-04 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-12-04_final
2017-12-04 11:32:01	ga_ls8c_ard_3-0-0_112073_2017-12-04_final
2017-12-20 11:30:04	ga_ls8c_ard_3-0-0_112068_2017-12-20_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2017-12-20 11:30:52	ga_ls8c_ard_3-0-0_112070_2017-12-20_final
2017-12-20 11:31:16	ga_ls8c_ard_3-0-0_112071_2017-12-20_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2017-12-20 11:32:04	ga_ls8c_ard_3-0-0_112073_2017-12-20_final
2018-01-16 11:16:34	ga_ls8c_ard_3-0-0_109081_2018-01-16_final
2018-01-16 11:16:58	ga_ls8c_ard_3-0-0_109082_2018-01-16_final
2018-01-16 11:17:22	ga_ls8c_ard_3-0-0_109083_2018-01-16_final
2018-01-16 11:17:46	ga_ls8c_ard_3-0-0_109084_2018-01-16_final
2018-01-16 11:18:09	ga_ls8c_ard_3-0-0_109085_2018-01-16_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-06-23 11:24:16	ga_ls8c_ard_3-0-0_111072_2018-06-23_final
2018-06-23 11:24:40	ga_ls8c_ard_3-0-0_111073_2018-06-23_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-06-23 11:25:28	ga_ls8c_ard_3-0-0_111075_2018-06-23_final
2018-06-23 11:25:52	ga_ls8c_ard_3-0-0_111076_2018-06-23_final
2018-06-23 11:26:16	ga_ls8c_ard_3-0-0_111077_2018-06-23_final
2018-06-23 11:26:40	ga_ls8c_ard_3-0-0_111078_2018-06-23_final
2019-12-17 11:35:57	ga_ls8c_ard_3-2-0_113067_2019-12-17_final
2019-12-19 11:25:58	ga_ls8c_ard_3-2-0_111073_2019-12-19_final
2019-12-19 11:26:22	ga_ls8c_ard_3-2-0_111074_2019-12-19_final
2019-12-19 11:26:46	ga_ls8c_ard_3-2-0_111075_2019-12-19_final
2019-12-19 11:27:10	ga_ls8c_ard_3-2-0_111076_2019-12-19_final
2019-12-19 11:27:34	ga_ls8c_ard_3-2-0_111077_2019-12-19_final
2019-12-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2019-12-19_final
2019-12-28 11:21:21	ga_ls8c_ard_3-1-0_110077_2019-12-28_final
2019-12-28 11:21:45	ga_ls8c_ard_3-1-0_110078_2019-12-28_final
2019-12-28 11:22:09	ga_ls8c_ard_3-1-0_110079_2019-12-28_final
2019-12-28 11:22:32	ga_ls8c_ard_3-1-0_110080_2019-12-28_final
2019-12-28 11:22:56	ga_ls8c_ard_3-1-0_110081_2019-12-28_final
2019-12-28 11:23:20	ga_ls8c_ard_3-1-0_110082_2019-12-28_final
2019-12-30 11:12:10	ga_ls8c_ard_3-1-0_108085_2019-12-30_final
2020-01-06 11:16:43	ga_ls8c_ard_3-1-0_109081_2020-01-06_final
2020-01-06 11:17:07	ga_ls8c_ard_3-1-0_109082_2020-01-06_final
2020-01-06 11:17:31	ga_ls8c_ard_3-1-0_109083_2020-01-06_final
2020-01-06 11:17:55	ga_ls8c_ard_3-1-0_109084_2020-01-06_final
2020-01-06 11:18:19	ga_ls8c_ard_3-1-0_109085_2020-01-06_final
2020-01-22 11:16:40	ga_ls8c_ard_3-1-0_109081_2020-01-22_final
2020-01-22 11:17:04	ga_ls8c_ard_3-1-0_109082_2020-01-22_final
2020-01-22 11:17:28	ga_ls8c_ard_3-1-0_109083_2020-01-22_final
2020-01-22 11:17:52	ga_ls8c_ard_3-1-0_109084_2020-01-22_final
2020-01-22 11:18:16	ga_ls8c_ard_3-1-0_109085_2020-01-22_final
2020-01-31 11:12:02	ga_ls8c_ard_3-1-0_108085_2020-01-31_final
2020-03-01 11:21:04	ga_ls8c_ard_3-1-0_110077_2020-03-01_final
2020-03-01 11:21:28	ga_ls8c_ard_3-1-0_110078_2020-03-01_final
2020-03-01 11:21:52	ga_ls8c_ard_3-1-0_110079_2020-03-01_final
2020-03-01 11:22:16	ga_ls8c_ard_3-1-0_110080_2020-03-01_final
2020-03-01 11:22:39	ga_ls8c_ard_3-1-0_110081_2020-03-01_final
2020-03-01 11:23:03	ga_ls8c_ard_3-1-0_110082_2020-03-01_final
2020-03-03 11:11:53	ga_ls8c_ard_3-1-0_108085_2020-03-03_final
2020-04-11 11:16:09	ga_ls8c_ard_3-1-0_109081_2020-04-11_final
2020-04-11 11:16:33	ga_ls8c_ard_3-1-0_109082_2020-04-11_final
2020-04-11 11:16:57	ga_ls8c_ard_3-1-0_109083_2020-04-11_final
2020-04-11 11:17:21	ga_ls8c_ard_3-1-0_109084_2020-04-11_final
2020-04-11 11:17:44	ga_ls8c_ard_3-1-0_109085_2020-04-11_final
2020-04-18 11:20:41	ga_ls8c_ard_3-1-0_110077_2020-04-18_final
2020-04-18 11:21:05	ga_ls8c_ard_3-1-0_110078_2020-04-18_final
2020-04-18 11:21:29	ga_ls8c_ard_3-1-0_110079_2020-04-18_final
2020-04-18 11:21:53	ga_ls8c_ard_3-1-0_110080_2020-04-18_final
2020-04-18 11:22:17	ga_ls8c_ard_3-1-0_110081_2020-04-18_final
2020-04-18 11:22:40	ga_ls8c_ard_3-1-0_110082_2020-04-18_final
2020-05-09 11:35:03	ga_ls8c_ard_3-1-0_113067_2020-05-09_final
2020-05-11 11:24:41	ga_ls8c_ard_3-1-0_111072_2020-05-11_final
2020-05-11 11:25:05	ga_ls8c_ard_3-1-0_111073_2020-05-11_final
2020-05-11 11:25:29	ga_ls8c_ard_3-1-0_111074_2020-05-11_final
2020-05-11 11:25:53	ga_ls8c_ard_3-1-0_111075_2020-05-11_final
2020-05-11 11:26:17	ga_ls8c_ard_3-1-0_111076_2020-05-11_final
2020-05-11 11:26:41	ga_ls8c_ard_3-1-0_111077_2020-05-11_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