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
2014-02-18 11:36:29	ga_ls8c_ard_3-0-0_113067_2014-02-18_final
2014-02-20 11:25:41	ga_ls8c_ard_3-0-0_111071_2014-02-20_final
2014-02-20 11:26:05	ga_ls8c_ard_3-0-0_111072_2014-02-20_final
2014-02-20 11:26:29	ga_ls8c_ard_3-0-0_111073_2014-02-20_final
2014-02-20 11:26:53	ga_ls8c_ard_3-0-0_111074_2014-02-20_final
2014-02-20 11:27:17	ga_ls8c_ard_3-0-0_111075_2014-02-20_final
2014-02-20 11:27:41	ga_ls8c_ard_3-0-0_111076_2014-02-20_final
2014-02-22 11:16:53	ga_ls8c_ard_3-0-0_109080_2014-02-22_final
2014-02-22 11:17:17	ga_ls8c_ard_3-0-0_109081_2014-02-22_final
2014-02-22 11:17:41	ga_ls8c_ard_3-0-0_109082_2014-02-22_final
2014-02-22 11:18:05	ga_ls8c_ard_3-0-0_109083_2014-02-22_final
2014-02-22 11:18:29	ga_ls8c_ard_3-0-0_109084_2014-02-22_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-07-05 11:30:29	ga_ls8c_ard_3-0-0_112070_2014-07-05_final
2014-07-05 11:30:53	ga_ls8c_ard_3-0-0_112071_2014-07-05_final
2014-07-05 11:31:17	ga_ls8c_ard_3-0-0_112072_2014-07-05_final
2014-08-22 11:29:33	ga_ls8c_ard_3-0-0_112067_2014-08-22_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-08-22 11:30:21	ga_ls8c_ard_3-0-0_112069_2014-08-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-08-22 11:31:09	ga_ls8c_ard_3-0-0_112071_2014-08-22_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-10-11 11:20:31	ga_ls8c_ard_3-0-0_110075_2014-10-11_final
2014-10-11 11:20:55	ga_ls8c_ard_3-0-0_110076_2014-10-11_final
2014-10-11 11:21:19	ga_ls8c_ard_3-0-0_110077_2014-10-11_final
2014-10-11 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-11_final
2014-10-11 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-11 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-10-11_final
2014-10-16 11:35:53	ga_ls8c_ard_3-0-0_113067_2014-10-16_final
2016-12-17 11:29:44	ga_ls8c_ard_3-0-0_112067_2016-12-17_final
2016-12-17 11:30:08	ga_ls8c_ard_3-0-0_112068_2016-12-17_final
2016-12-17 11:30:32	ga_ls8c_ard_3-0-0_112069_2016-12-17_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2016-12-17 11:31:20	ga_ls8c_ard_3-0-0_112071_2016-12-17_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2016-12-19 11:20:33	ga_ls8c_ard_3-0-0_110075_2016-12-19_final
2016-12-19 11:20:57	ga_ls8c_ard_3-0-0_110076_2016-12-19_final
2016-12-19 11:21:21	ga_ls8c_ard_3-0-0_110077_2016-12-19_final
2016-12-19 11:21:45	ga_ls8c_ard_3-0-0_110078_2016-12-19_final
2016-12-19 11:22:09	ga_ls8c_ard_3-0-0_110079_2016-12-19_final
2016-12-19 11:22:33	ga_ls8c_ard_3-0-0_110080_2016-12-19_final
2016-12-19 11:22:57	ga_ls8c_ard_3-0-0_110081_2016-12-19_final
2017-02-05 11:20:19	ga_ls8c_ard_3-0-0_110075_2017-02-05_final
2017-02-05 11:20:42	ga_ls8c_ard_3-0-0_110076_2017-02-05_final
2017-02-05 11:21:06	ga_ls8c_ard_3-0-0_110077_2017-02-05_final
2017-02-05 11:21:30	ga_ls8c_ard_3-0-0_110078_2017-02-05_final
2017-02-05 11:21:54	ga_ls8c_ard_3-0-0_110079_2017-02-05_final
2017-02-05 11:22:18	ga_ls8c_ard_3-0-0_110080_2017-02-05_final
2017-02-05 11:22:42	ga_ls8c_ard_3-0-0_110081_2017-02-05_final
2017-02-12 11:24:50	ga_ls8c_ard_3-0-0_111071_2017-02-12_final
2017-02-12 11:25:14	ga_ls8c_ard_3-0-0_111072_2017-02-12_final
2017-02-12 11:25:38	ga_ls8c_ard_3-0-0_111073_2017-02-12_final
2017-02-12 11:26:02	ga_ls8c_ard_3-0-0_111074_2017-02-12_final
2017-02-12 11:26:26	ga_ls8c_ard_3-0-0_111075_2017-02-12_final
2017-02-12 11:26:50	ga_ls8c_ard_3-0-0_111076_2017-02-12_final
2017-02-14 11:16:04	ga_ls8c_ard_3-0-0_109080_2017-02-14_final
2017-02-14 11:16:28	ga_ls8c_ard_3-0-0_109081_2017-02-14_final
2017-02-14 11:16:52	ga_ls8c_ard_3-0-0_109082_2017-02-14_final
2017-02-14 11:17:15	ga_ls8c_ard_3-0-0_109083_2017-02-14_final
2017-02-14 11:17:39	ga_ls8c_ard_3-0-0_109084_2017-02-14_final
2017-02-14 11:18:03	ga_ls8c_ard_3-0-0_109085_2017-02-14_final
2017-02-19 11:29:24	ga_ls8c_ard_3-0-0_112067_2017-02-19_final
2017-02-19 11:29:47	ga_ls8c_ard_3-0-0_112068_2017-02-19_final
2017-02-21 11:20:13	ga_ls8c_ard_3-0-0_110075_2017-02-21_final
2017-02-21 11:20:37	ga_ls8c_ard_3-0-0_110076_2017-02-21_final
2017-02-21 11:21:01	ga_ls8c_ard_3-0-0_110077_2017-02-21_final
2017-02-21 11:21:25	ga_ls8c_ard_3-0-0_110078_2017-02-21_final
2017-02-21 11:21:48	ga_ls8c_ard_3-0-0_110079_2017-02-21_final
2017-02-21 11:22:12	ga_ls8c_ard_3-0-0_110080_2017-02-21_final
2017-02-21 11:22:36	ga_ls8c_ard_3-0-0_110081_2017-02-21_final
2023-06-23 11:15:11	ga_ls8c_ard_3-2-1_109079_2023-06-23_final
2023-06-23 11:15:35	ga_ls8c_ard_3-2-1_109080_2023-06-23_final
2023-06-23 11:15:59	ga_ls8c_ard_3-2-1_109081_2023-06-23_final
2023-06-23 11:16:23	ga_ls8c_ard_3-2-1_109082_2023-06-23_final
2023-06-23 11:16:47	ga_ls8c_ard_3-2-1_109083_2023-06-23_final
2023-06-23 11:17:11	ga_ls8c_ard_3-2-1_109084_2023-06-23_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-07-07 11:24:57	ga_ls8c_ard_3-2-1_111072_2023-07-07_final
2023-07-07 11:25:21	ga_ls8c_ard_3-2-1_111073_2023-07-07_final
2023-07-07 11:25:45	ga_ls8c_ard_3-2-1_111074_2023-07-07_final
2023-07-07 11:26:09	ga_ls8c_ard_3-2-1_111075_2023-07-07_final
2023-07-07 11:26:33	ga_ls8c_ard_3-2-1_111076_2023-07-07_final
2023-07-16 11:20:01	ga_ls8c_ard_3-2-1_110075_2023-07-16_final
2023-07-16 11:20:25	ga_ls8c_ard_3-2-1_110076_2023-07-16_final
2023-07-16 11:20:48	ga_ls8c_ard_3-2-1_110077_2023-07-16_final
2023-07-16 11:21:12	ga_ls8c_ard_3-2-1_110078_2023-07-16_final
2023-07-16 11:21:36	ga_ls8c_ard_3-2-1_110079_2023-07-16_final
2023-07-16 11:22:00	ga_ls8c_ard_3-2-1_110080_2023-07-16_final
2023-07-16 11:22:24	ga_ls8c_ard_3-2-1_110081_2023-07-16_final
2024-03-12 11:20:09	ga_ls8c_ard_3-2-1_110075_2024-03-12_final
2024-03-12 11:20:33	ga_ls8c_ard_3-2-1_110076_2024-03-12_final
2024-03-12 11:20:57	ga_ls8c_ard_3-2-1_110077_2024-03-12_final
2024-03-12 11:21:21	ga_ls8c_ard_3-2-1_110078_2024-03-12_final
2024-03-12 11:21:45	ga_ls8c_ard_3-2-1_110079_2024-03-12_final
2024-03-12 11:22:09	ga_ls8c_ard_3-2-1_110080_2024-03-12_final
2024-03-12 11:22:33	ga_ls8c_ard_3-2-1_110081_2024-03-12_final
2024-03-14 11:10:58	ga_ls8c_ard_3-2-1_108083_2024-03-14_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