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
2013-03-29 11:31:51	ga_ls8c_ard_3-0-0_112074_2013-03-29_final
2013-03-29 11:32:14	ga_ls8c_ard_3-0-0_112075_2013-03-29_final
2013-06-18 11:23:27	ga_ls8c_ard_3-0-0_110078_2013-06-18_final
2013-06-18 11:23:51	ga_ls8c_ard_3-0-0_110079_2013-06-18_final
2013-06-18 11:24:15	ga_ls8c_ard_3-0-0_110080_2013-06-18_final
2013-06-18 11:24:39	ga_ls8c_ard_3-0-0_110081_2013-06-18_final
2013-06-18 11:25:02	ga_ls8c_ard_3-0-0_110082_2013-06-18_final
2013-06-18 11:25:26	ga_ls8c_ard_3-0-0_110083_2013-06-18_final
2013-07-13 11:18:54	ga_ls8c_ard_3-0-0_109082_2013-07-13_final
2013-07-13 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-13_final
2013-07-13 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-07-13_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
2017-11-02 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-11-02_final
2017-11-04 11:21:24	ga_ls8c_ard_3-0-0_110077_2017-11-04_final
2017-11-04 11:21:48	ga_ls8c_ard_3-0-0_110078_2017-11-04_final
2017-11-04 11:22:11	ga_ls8c_ard_3-0-0_110079_2017-11-04_final
2017-11-04 11:22:35	ga_ls8c_ard_3-0-0_110080_2017-11-04_final
2017-11-04 11:22:59	ga_ls8c_ard_3-0-0_110081_2017-11-04_final
2017-11-04 11:23:23	ga_ls8c_ard_3-0-0_110082_2017-11-04_final
2017-11-04 11:23:47	ga_ls8c_ard_3-0-0_110083_2017-11-04_final
2017-11-18 11:30:06	ga_ls8c_ard_3-0-0_112068_2017-11-18_final
2017-11-18 11:30:30	ga_ls8c_ard_3-0-0_112069_2017-11-18_final
2017-11-18 11:30:54	ga_ls8c_ard_3-0-0_112070_2017-11-18_final
2017-11-18 11:31:18	ga_ls8c_ard_3-0-0_112071_2017-11-18_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-11-18 11:32:06	ga_ls8c_ard_3-0-0_112073_2017-11-18_final
2017-11-18 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-11-18_final
2017-11-20 11:21:19	ga_ls8c_ard_3-0-0_110077_2017-11-20_final
2017-11-20 11:21:43	ga_ls8c_ard_3-0-0_110078_2017-11-20_final
2017-11-20 11:22:07	ga_ls8c_ard_3-0-0_110079_2017-11-20_final
2017-11-20 11:22:31	ga_ls8c_ard_3-0-0_110080_2017-11-20_final
2017-11-20 11:22:55	ga_ls8c_ard_3-0-0_110081_2017-11-20_final
2017-11-20 11:23:19	ga_ls8c_ard_3-0-0_110082_2017-11-20_final
2017-11-20 11:23:43	ga_ls8c_ard_3-0-0_110083_2017-11-20_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
2017-12-20 11:32:28	ga_ls8c_ard_3-0-0_112074_2017-12-20_final
2017-12-22 11:21:18	ga_ls8c_ard_3-0-0_110077_2017-12-22_final
2017-12-22 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-12-22_final
2017-12-22 11:22:06	ga_ls8c_ard_3-0-0_110079_2017-12-22_final
2017-12-22 11:22:30	ga_ls8c_ard_3-0-0_110080_2017-12-22_final
2017-12-22 11:22:54	ga_ls8c_ard_3-0-0_110081_2017-12-22_final
2017-12-22 11:23:18	ga_ls8c_ard_3-0-0_110082_2017-12-22_final
2017-12-22 11:23:42	ga_ls8c_ard_3-0-0_110083_2017-12-22_final
2018-01-05 11:30:00	ga_ls8c_ard_3-0-0_112068_2018-01-05_final
2018-01-05 11:30:24	ga_ls8c_ard_3-0-0_112069_2018-01-05_final
2018-01-05 11:30:48	ga_ls8c_ard_3-0-0_112070_2018-01-05_final
2018-01-05 11:31:12	ga_ls8c_ard_3-0-0_112071_2018-01-05_final
2018-01-07 11:21:13	ga_ls8c_ard_3-0-0_110077_2018-01-07_final
2018-01-07 11:21:37	ga_ls8c_ard_3-0-0_110078_2018-01-07_final
2018-01-07 11:22:01	ga_ls8c_ard_3-0-0_110079_2018-01-07_final
2018-01-07 11:22:25	ga_ls8c_ard_3-0-0_110080_2018-01-07_final
2018-01-07 11:22:49	ga_ls8c_ard_3-0-0_110081_2018-01-07_final
2018-01-07 11:23:13	ga_ls8c_ard_3-0-0_110082_2018-01-07_final
2018-01-07 11:23:37	ga_ls8c_ard_3-0-0_110083_2018-01-07_final
2021-07-10 11:21:01	ga_ls8c_ard_3-2-0_110077_2021-07-10_final
2021-07-10 11:21:25	ga_ls8c_ard_3-2-0_110078_2021-07-10_final
2021-07-10 11:21:48	ga_ls8c_ard_3-2-0_110079_2021-07-10_final
2021-07-10 11:22:12	ga_ls8c_ard_3-2-0_110080_2021-07-10_final
2021-07-10 11:22:36	ga_ls8c_ard_3-2-0_110081_2021-07-10_final
2021-07-10 11:23:00	ga_ls8c_ard_3-2-0_110082_2021-07-10_final
2021-07-10 11:23:24	ga_ls8c_ard_3-2-0_110083_2021-07-10_final
2021-07-12 11:11:51	ga_ls8c_ard_3-2-0_108085_2021-07-12_final
2021-07-15 11:35:34	ga_ls8c_ard_3-2-0_113067_2021-07-15_final
2021-07-17 11:25:36	ga_ls8c_ard_3-2-0_111073_2021-07-17_final
2021-07-17 11:26:00	ga_ls8c_ard_3-2-0_111074_2021-07-17_final
2021-07-17 11:26:24	ga_ls8c_ard_3-2-0_111075_2021-07-17_final
2021-07-17 11:26:48	ga_ls8c_ard_3-2-0_111076_2021-07-17_final
2021-07-17 11:27:12	ga_ls8c_ard_3-2-0_111077_2021-07-17_final
2021-07-17 11:27:36	ga_ls8c_ard_3-2-0_111078_2021-07-17_final
2021-07-17 11:28:00	ga_ls8c_ard_3-2-0_111079_2021-07-17_final
2021-07-19 11:16:52	ga_ls8c_ard_3-2-0_109082_2021-07-19_final
2021-07-19 11:17:15	ga_ls8c_ard_3-2-0_109083_2021-07-19_final
2021-07-19 11:17:39	ga_ls8c_ard_3-2-0_109084_2021-07-19_final
2021-07-19 11:18:03	ga_ls8c_ard_3-2-0_109085_2021-07-19_final
2021-07-24 11:29:52	ga_ls8c_ard_3-2-0_112068_2021-07-24_final
2021-07-24 11:30:16	ga_ls8c_ard_3-2-0_112069_2021-07-24_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-07-24 11:31:04	ga_ls8c_ard_3-2-0_112071_2021-07-24_final
2021-07-24 11:31:27	ga_ls8c_ard_3-2-0_112072_2021-07-24_final
2021-07-24 11:31:51	ga_ls8c_ard_3-2-0_112073_2021-07-24_final
2021-07-24 11:32:15	ga_ls8c_ard_3-2-0_112074_2021-07-24_final
2021-07-26 11:21:07	ga_ls8c_ard_3-2-0_110077_2021-07-26_final
2021-07-26 11:21:31	ga_ls8c_ard_3-2-0_110078_2021-07-26_final
2021-07-26 11:21:54	ga_ls8c_ard_3-2-0_110079_2021-07-26_final
2021-07-26 11:22:18	ga_ls8c_ard_3-2-0_110080_2021-07-26_final
2021-07-26 11:22:42	ga_ls8c_ard_3-2-0_110081_2021-07-26_final
2021-07-26 11:23:06	ga_ls8c_ard_3-2-0_110082_2021-07-26_final
2021-07-26 11:23:30	ga_ls8c_ard_3-2-0_110083_2021-07-26_final
2023-03-03 11:16:58	ga_ls8c_ard_3-2-1_109082_2023-03-03_final
2023-03-03 11:17:22	ga_ls8c_ard_3-2-1_109083_2023-03-03_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