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
2014-03-01 11:20:32	ga_ls8c_ard_3-0-0_110074_2014-03-01_final
2014-03-01 11:20:56	ga_ls8c_ard_3-0-0_110075_2014-03-01_final
2014-03-01 11:21:20	ga_ls8c_ard_3-0-0_110076_2014-03-01_final
2014-03-01 11:21:44	ga_ls8c_ard_3-0-0_110077_2014-03-01_final
2014-03-01 11:22:08	ga_ls8c_ard_3-0-0_110078_2014-03-01_final
2014-03-01 11:22:32	ga_ls8c_ard_3-0-0_110079_2014-03-01_final
2014-03-01 11:22:56	ga_ls8c_ard_3-0-0_110080_2014-03-01_final
2014-03-03 11:11:43	ga_ls8c_ard_3-0-0_108083_2014-03-03_final
2014-03-03 11:12:07	ga_ls8c_ard_3-0-0_108084_2014-03-03_final
2014-03-19 11:11:11	ga_ls8c_ard_3-0-0_108082_2014-03-19_final
2014-03-19 11:11:35	ga_ls8c_ard_3-0-0_108083_2014-03-19_final
2014-04-16 11:29:25	ga_ls8c_ard_3-0-0_112067_2014-04-16_final
2014-04-16 11:30:37	ga_ls8c_ard_3-0-0_112070_2014-04-16_final
2018-12-11 11:10:37	ga_ls8c_ard_3-0-0_108082_2018-12-11_final
2018-12-11 11:11:01	ga_ls8c_ard_3-0-0_108083_2018-12-11_final
2018-12-11 11:11:25	ga_ls8c_ard_3-0-0_108084_2018-12-11_final
2018-12-11 11:11:49	ga_ls8c_ard_3-0-0_108085_2018-12-11_final
2019-01-12 11:10:35	ga_ls8c_ard_3-0-0_108082_2019-01-12_final
2019-01-12 11:10:59	ga_ls8c_ard_3-0-0_108083_2019-01-12_final
2019-01-12 11:11:23	ga_ls8c_ard_3-0-0_108084_2019-01-12_final
2019-01-12 11:11:47	ga_ls8c_ard_3-0-0_108085_2019-01-12_final
2019-10-27 11:11:08	ga_ls8c_ard_3-1-0_108082_2019-10-27_final
2019-10-27 11:11:32	ga_ls8c_ard_3-1-0_108083_2019-10-27_final
2019-10-27 11:11:56	ga_ls8c_ard_3-1-0_108084_2019-10-27_final
2019-10-27 11:12:20	ga_ls8c_ard_3-1-0_108085_2019-10-27_final
2019-11-01 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-11-01_final
2019-11-01 11:25:17	ga_ls8c_ard_3-1-0_111071_2019-11-01_final
2019-11-01 11:25:41	ga_ls8c_ard_3-1-0_111072_2019-11-01_final
2019-11-01 11:26:05	ga_ls8c_ard_3-1-0_111073_2019-11-01_final
2019-11-01 11:26:28	ga_ls8c_ard_3-1-0_111074_2019-11-01_final
2019-11-01 11:26:52	ga_ls8c_ard_3-1-0_111075_2019-11-01_final
2019-11-03 11:15:42	ga_ls8c_ard_3-1-0_109078_2019-11-03_final
2019-11-03 11:16:06	ga_ls8c_ard_3-1-0_109079_2019-11-03_final
2019-11-03 11:16:30	ga_ls8c_ard_3-1-0_109080_2019-11-03_final
2019-11-03 11:16:54	ga_ls8c_ard_3-1-0_109081_2019-11-03_final
2019-11-03 11:17:18	ga_ls8c_ard_3-1-0_109082_2019-11-03_final
2019-11-03 11:17:42	ga_ls8c_ard_3-1-0_109083_2019-11-03_final
2019-11-03 11:18:06	ga_ls8c_ard_3-1-0_109084_2019-11-03_final
2019-11-12 11:11:06	ga_ls8c_ard_3-1-0_108082_2019-11-12_final
2019-11-12 11:11:30	ga_ls8c_ard_3-1-0_108083_2019-11-12_final
2019-11-12 11:11:54	ga_ls8c_ard_3-1-0_108084_2019-11-12_final
2019-11-12 11:12:18	ga_ls8c_ard_3-1-0_108085_2019-11-12_final
2019-12-10 11:29:47	ga_ls8c_ard_3-1-0_112067_2019-12-10_final
2019-12-10 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-12-10_final
2019-12-10 11:30:35	ga_ls8c_ard_3-1-0_112069_2019-12-10_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2020-02-21 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-02-21_final
2020-02-21 11:24:54	ga_ls8c_ard_3-1-0_111071_2020-02-21_final
2020-02-21 11:25:18	ga_ls8c_ard_3-1-0_111072_2020-02-21_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-02-21 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-02-21_final
2020-02-21 11:26:30	ga_ls8c_ard_3-1-0_111075_2020-02-21_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-06-21 11:20:24	ga_ls8c_ard_3-1-0_110076_2020-06-21_final
2020-06-21 11:20:48	ga_ls8c_ard_3-1-0_110077_2020-06-21_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-21 11:21:36	ga_ls8c_ard_3-1-0_110079_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-23 11:10:27	ga_ls8c_ard_3-1-0_108082_2020-06-23_final
2020-06-23 11:10:51	ga_ls8c_ard_3-1-0_108083_2020-06-23_final
2020-06-23 11:11:15	ga_ls8c_ard_3-1-0_108084_2020-06-23_final
2020-06-23 11:11:39	ga_ls8c_ard_3-1-0_108085_2020-06-23_final
2020-06-30 11:15:06	ga_ls8c_ard_3-1-0_109078_2020-06-30_final
2020-06-30 11:15:29	ga_ls8c_ard_3-1-0_109079_2020-06-30_final
2020-06-30 11:15:53	ga_ls8c_ard_3-1-0_109080_2020-06-30_final
2020-06-30 11:16:17	ga_ls8c_ard_3-1-0_109081_2020-06-30_final
2020-06-30 11:16:41	ga_ls8c_ard_3-1-0_109082_2020-06-30_final
2020-06-30 11:17:05	ga_ls8c_ard_3-1-0_109083_2020-06-30_final
2020-06-30 11:17:29	ga_ls8c_ard_3-1-0_109084_2020-06-30_final
2020-07-07 11:19:44	ga_ls8c_ard_3-1-0_110074_2020-07-07_final
2020-07-07 11:20:08	ga_ls8c_ard_3-1-0_110075_2020-07-07_final
2020-07-07 11:20:31	ga_ls8c_ard_3-1-0_110076_2020-07-07_final
2020-07-07 11:20:55	ga_ls8c_ard_3-1-0_110077_2020-07-07_final
2020-07-07 11:21:19	ga_ls8c_ard_3-1-0_110078_2020-07-07_final
2020-07-07 11:21:43	ga_ls8c_ard_3-1-0_110079_2020-07-07_final
2020-07-07 11:22:07	ga_ls8c_ard_3-1-0_110080_2020-07-07_final
2020-07-09 11:10:34	ga_ls8c_ard_3-1-0_108082_2020-07-09_final
2020-07-09 11:10:58	ga_ls8c_ard_3-1-0_108083_2020-07-09_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-09 11:11:46	ga_ls8c_ard_3-1-0_108085_2020-07-09_final
2020-07-16 11:15:12	ga_ls8c_ard_3-1-0_109078_2020-07-16_final
2020-07-16 11:15:36	ga_ls8c_ard_3-1-0_109079_2020-07-16_final
2020-07-16 11:16:00	ga_ls8c_ard_3-1-0_109080_2020-07-16_final
2020-07-16 11:16:24	ga_ls8c_ard_3-1-0_109081_2020-07-16_final
2020-07-16 11:16:48	ga_ls8c_ard_3-1-0_109082_2020-07-16_final
2020-07-16 11:17:12	ga_ls8c_ard_3-1-0_109083_2020-07-16_final
2020-07-16 11:17:35	ga_ls8c_ard_3-1-0_109084_2020-07-16_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-07-30 11:24:50	ga_ls8c_ard_3-1-0_111071_2020-07-30_final
2020-07-30 11:25:14	ga_ls8c_ard_3-1-0_111072_2020-07-30_final
2020-07-30 11:25:38	ga_ls8c_ard_3-1-0_111073_2020-07-30_final
2020-07-30 11:26:02	ga_ls8c_ard_3-1-0_111074_2020-07-30_final
2020-07-30 11:26:25	ga_ls8c_ard_3-1-0_111075_2020-07-30_final
2020-08-01 11:15:16	ga_ls8c_ard_3-1-0_109078_2020-08-01_final
2020-08-01 11:15:40	ga_ls8c_ard_3-1-0_109079_2020-08-01_final
2020-08-01 11:16:04	ga_ls8c_ard_3-1-0_109080_2020-08-01_final
2020-08-01 11:16:28	ga_ls8c_ard_3-1-0_109081_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_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