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
2014-07-23 11:20:59	ga_ls8c_ard_3-0-0_110077_2014-07-23_final
2014-07-23 11:21:23	ga_ls8c_ard_3-0-0_110078_2014-07-23_final
2014-07-23 11:21:47	ga_ls8c_ard_3-0-0_110079_2014-07-23_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-07-23 11:22:34	ga_ls8c_ard_3-0-0_110081_2014-07-23_final
2014-07-23 11:22:58	ga_ls8c_ard_3-0-0_110082_2014-07-23_final
2014-07-23 11:23:22	ga_ls8c_ard_3-0-0_110083_2014-07-23_final
2014-10-16 11:35:53	ga_ls8c_ard_3-0-0_113067_2014-10-16_final
2014-10-18 11:25:55	ga_ls8c_ard_3-0-0_111073_2014-10-18_final
2014-10-18 11:26:19	ga_ls8c_ard_3-0-0_111074_2014-10-18_final
2014-10-18 11:26:43	ga_ls8c_ard_3-0-0_111075_2014-10-18_final
2014-10-18 11:27:07	ga_ls8c_ard_3-0-0_111076_2014-10-18_final
2014-10-18 11:27:31	ga_ls8c_ard_3-0-0_111077_2014-10-18_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2014-10-18 11:28:19	ga_ls8c_ard_3-0-0_111079_2014-10-18_final
2014-10-20 11:16:45	ga_ls8c_ard_3-0-0_109081_2014-10-20_final
2014-10-20 11:17:09	ga_ls8c_ard_3-0-0_109082_2014-10-20_final
2014-10-20 11:17:33	ga_ls8c_ard_3-0-0_109083_2014-10-20_final
2014-10-20 11:17:57	ga_ls8c_ard_3-0-0_109084_2014-10-20_final
2014-11-05 11:16:44	ga_ls8c_ard_3-0-0_109081_2014-11-05_final
2014-11-05 11:17:08	ga_ls8c_ard_3-0-0_109082_2014-11-05_final
2014-11-05 11:17:32	ga_ls8c_ard_3-0-0_109083_2014-11-05_final
2014-11-05 11:17:56	ga_ls8c_ard_3-0-0_109084_2014-11-05_final
2014-11-17 11:35:51	ga_ls8c_ard_3-0-0_113067_2014-11-17_final
2014-11-19 11:25:52	ga_ls8c_ard_3-0-0_111073_2014-11-19_final
2014-11-19 11:26:16	ga_ls8c_ard_3-0-0_111074_2014-11-19_final
2014-11-19 11:26:40	ga_ls8c_ard_3-0-0_111075_2014-11-19_final
2014-11-19 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-11-19_final
2014-11-19 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-11-19_final
2014-11-19 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-11-19_final
2014-11-19 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-11-19_final
2014-12-14 11:21:12	ga_ls8c_ard_3-0-0_110077_2014-12-14_final
2014-12-14 11:21:36	ga_ls8c_ard_3-0-0_110078_2014-12-14_final
2014-12-14 11:22:00	ga_ls8c_ard_3-0-0_110079_2014-12-14_final
2014-12-14 11:22:24	ga_ls8c_ard_3-0-0_110080_2014-12-14_final
2014-12-14 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-12-14_final
2014-12-14 11:23:11	ga_ls8c_ard_3-0-0_110082_2014-12-14_final
2014-12-14 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-12-14_final
2018-03-01 11:35:21	ga_ls8c_ard_3-0-0_113067_2018-03-01_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_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
2018-06-23 11:27:03	ga_ls8c_ard_3-0-0_111079_2018-06-23_final
2021-04-30 11:16:28	ga_ls8c_ard_3-2-0_109082_2021-04-30_final
2021-04-30 11:16:52	ga_ls8c_ard_3-2-0_109083_2021-04-30_final
2021-04-30 11:17:16	ga_ls8c_ard_3-2-0_109084_2021-04-30_final
2021-04-30 11:17:40	ga_ls8c_ard_3-2-0_109085_2021-04-30_final
2021-07-01 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-07-01_final
2021-07-01 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-07-01_final
2021-07-01 11:26:23	ga_ls8c_ard_3-2-0_111075_2021-07-01_final
2021-07-01 11:27:11	ga_ls8c_ard_3-2-0_111077_2021-07-01_final
2021-07-01 11:27:35	ga_ls8c_ard_3-2-0_111078_2021-07-01_final
2021-07-01 11:27:59	ga_ls8c_ard_3-2-0_111079_2021-07-01_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
2021-08-11 11:21:14	ga_ls8c_ard_3-2-0_110077_2021-08-11_final
2021-08-11 11:21:37	ga_ls8c_ard_3-2-0_110078_2021-08-11_final
2021-08-11 11:22:01	ga_ls8c_ard_3-2-0_110079_2021-08-11_final
2021-08-11 11:22:25	ga_ls8c_ard_3-2-0_110080_2021-08-11_final
2021-08-11 11:22:49	ga_ls8c_ard_3-2-0_110081_2021-08-11_final
2021-08-11 11:23:13	ga_ls8c_ard_3-2-0_110082_2021-08-11_final
2021-08-11 11:23:37	ga_ls8c_ard_3-2-0_110083_2021-08-11_final
2021-08-13 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-08-13_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-12 11:30:41	ga_ls8c_ard_3-2-0_112069_2021-10-12_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-12 11:31:29	ga_ls8c_ard_3-2-0_112071_2021-10-12_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-10-12 11:32:41	ga_ls8c_ard_3-2-0_112074_2021-10-12_final
2021-10-14 11:21:31	ga_ls8c_ard_3-2-0_110077_2021-10-14_final
2021-10-14 11:21:55	ga_ls8c_ard_3-2-0_110078_2021-10-14_final
2021-10-14 11:22:19	ga_ls8c_ard_3-2-0_110079_2021-10-14_final
2021-10-14 11:22:43	ga_ls8c_ard_3-2-0_110080_2021-10-14_final
2021-10-14 11:23:07	ga_ls8c_ard_3-2-0_110081_2021-10-14_final
2021-10-14 11:23:31	ga_ls8c_ard_3-2-0_110082_2021-10-14_final
2021-10-14 11:23:55	ga_ls8c_ard_3-2-0_110083_2021-10-14_final
2021-12-24 11:25:59	ga_ls8c_ard_3-2-1_111073_2021-12-24_final
2021-12-24 11:26:23	ga_ls8c_ard_3-2-1_111074_2021-12-24_final
2021-12-24 11:26:47	ga_ls8c_ard_3-2-1_111075_2021-12-24_final
2021-12-24 11:27:11	ga_ls8c_ard_3-2-1_111076_2021-12-24_final
2021-12-24 11:27:35	ga_ls8c_ard_3-2-1_111077_2021-12-24_final
2021-12-24 11:27:59	ga_ls8c_ard_3-2-1_111078_2021-12-24_final
2021-12-24 11:28:23	ga_ls8c_ard_3-2-1_111079_2021-12-24_final
2021-12-26 11:17:12	ga_ls8c_ard_3-2-1_109082_2021-12-26_final
2021-12-26 11:17:36	ga_ls8c_ard_3-2-1_109083_2021-12-26_final
2021-12-26 11:18:00	ga_ls8c_ard_3-2-1_109084_2021-12-26_final
2021-12-31 11:31:43	ga_ls8c_ard_3-2-1_112072_2021-12-31_final
2021-12-31 11:32:07	ga_ls8c_ard_3-2-1_112073_2021-12-31_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