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
2014-12-03 11:35:50	ga_ls8c_ard_3-0-0_113067_2014-12-03_final
2014-12-05 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-12-05_final
2014-12-05 11:26:39	ga_ls8c_ard_3-0-0_111075_2014-12-05_final
2014-12-05 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-12-05_final
2014-12-05 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-12-05_final
2014-12-05 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-12-05_final
2014-12-05 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-12-05_final
2014-12-05 11:28:39	ga_ls8c_ard_3-0-0_111080_2014-12-05_final
2015-04-03 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-03_final
2015-04-03 11:30:26	ga_ls8c_ard_3-0-0_112071_2015-04-03_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-06-29 11:35:02	ga_ls8c_ard_3-0-0_113067_2015-06-29_final
2015-07-15 11:35:12	ga_ls8c_ard_3-0-0_113067_2015-07-15_final
2019-01-31 11:35:25	ga_ls8c_ard_3-0-0_113067_2019-01-31_final
2019-02-02 11:25:51	ga_ls8c_ard_3-0-0_111074_2019-02-02_final
2019-02-02 11:26:15	ga_ls8c_ard_3-0-0_111075_2019-02-02_final
2019-02-02 11:26:39	ga_ls8c_ard_3-0-0_111076_2019-02-02_final
2019-02-02 11:27:03	ga_ls8c_ard_3-0-0_111077_2019-02-02_final
2019-02-02 11:27:27	ga_ls8c_ard_3-0-0_111078_2019-02-02_final
2019-02-02 11:27:51	ga_ls8c_ard_3-0-0_111079_2019-02-02_final
2019-02-02 11:28:15	ga_ls8c_ard_3-0-0_111080_2019-02-02_final
2019-02-18 11:25:49	ga_ls8c_ard_3-0-0_111074_2019-02-18_final
2019-02-18 11:26:13	ga_ls8c_ard_3-0-0_111075_2019-02-18_final
2019-02-18 11:26:37	ga_ls8c_ard_3-0-0_111076_2019-02-18_final
2019-02-18 11:27:01	ga_ls8c_ard_3-0-0_111077_2019-02-18_final
2019-02-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2019-02-18_final
2019-02-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2019-02-18_final
2019-02-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2019-02-18_final
2019-02-20 11:17:02	ga_ls8c_ard_3-0-0_109083_2019-02-20_final
2019-02-20 11:17:26	ga_ls8c_ard_3-0-0_109084_2019-02-20_final
2019-02-20 11:17:50	ga_ls8c_ard_3-0-0_109085_2019-02-20_final
2019-03-13 11:30:17	ga_ls8c_ard_3-1-0_112070_2019-03-13_final
2019-03-13 11:30:40	ga_ls8c_ard_3-1-0_112071_2019-03-13_final
2019-03-13 11:31:04	ga_ls8c_ard_3-1-0_112072_2019-03-13_final
2019-03-13 11:31:28	ga_ls8c_ard_3-1-0_112073_2019-03-13_final
2019-03-13 11:31:52	ga_ls8c_ard_3-1-0_112074_2019-03-13_final
2019-03-13 11:32:16	ga_ls8c_ard_3-1-0_112075_2019-03-13_final
2019-03-20 11:35:14	ga_ls8c_ard_3-1-0_113067_2019-03-20_final
2019-03-20 11:36:50	ga_ls8c_ard_3-1-0_113071_2019-03-20_final
2019-04-05 11:35:11	ga_ls8c_ard_3-1-0_113067_2019-04-05_final
2019-04-21 11:35:04	ga_ls8c_ard_3-0-0_113067_2019-04-21_final
2019-04-30 11:30:05	ga_ls8c_ard_3-0-0_112070_2019-04-30_final
2019-04-30 11:30:29	ga_ls8c_ard_3-0-0_112071_2019-04-30_final
2019-04-30 11:30:53	ga_ls8c_ard_3-0-0_112072_2019-04-30_final
2019-04-30 11:31:17	ga_ls8c_ard_3-0-0_112073_2019-04-30_final
2019-04-30 11:31:41	ga_ls8c_ard_3-0-0_112074_2019-04-30_final
2019-04-30 11:32:05	ga_ls8c_ard_3-0-0_112075_2019-04-30_final
2019-06-17 11:30:30	ga_ls8c_ard_3-1-0_112070_2019-06-17_final
2019-06-17 11:30:54	ga_ls8c_ard_3-1-0_112071_2019-06-17_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-06-17 11:31:42	ga_ls8c_ard_3-1-0_112073_2019-06-17_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-06-17 11:32:30	ga_ls8c_ard_3-1-0_112075_2019-06-17_final
2019-07-10 11:35:35	ga_ls8c_ard_3-1-0_113067_2019-07-10_final
2019-08-04 11:30:44	ga_ls8c_ard_3-1-0_112070_2019-08-04_final
2019-08-04 11:31:08	ga_ls8c_ard_3-1-0_112071_2019-08-04_final
2019-08-04 11:31:32	ga_ls8c_ard_3-1-0_112072_2019-08-04_final
2019-08-04 11:31:56	ga_ls8c_ard_3-1-0_112073_2019-08-04_final
2019-08-04 11:32:20	ga_ls8c_ard_3-1-0_112074_2019-08-04_final
2019-08-04 11:32:44	ga_ls8c_ard_3-1-0_112075_2019-08-04_final
2019-09-21 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-09-21_final
2019-09-21 11:31:23	ga_ls8c_ard_3-1-0_112071_2019-09-21_final
2019-09-21 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-09-21_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final
2019-09-21 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-09-21_final
2019-09-21 11:32:58	ga_ls8c_ard_3-1-0_112075_2019-09-21_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-12 11:31:18	ga_ls8c_ard_3-2-1_112073_2023-06-12_final
2023-06-12 11:31:42	ga_ls8c_ard_3-2-1_112074_2023-06-12_final
2023-06-12 11:32:06	ga_ls8c_ard_3-2-1_112075_2023-06-12_final
2023-06-14 11:21:21	ga_ls8c_ard_3-2-1_110079_2023-06-14_final
2023-06-14 11:21:45	ga_ls8c_ard_3-2-1_110080_2023-06-14_final
2023-06-14 11:22:09	ga_ls8c_ard_3-2-1_110081_2023-06-14_final
2023-06-14 11:22:33	ga_ls8c_ard_3-2-1_110082_2023-06-14_final
2023-06-14 11:22:57	ga_ls8c_ard_3-2-1_110083_2023-06-14_final
2023-06-14 11:23:21	ga_ls8c_ard_3-2-1_110084_2023-06-14_final
2023-06-21 11:25:33	ga_ls8c_ard_3-2-1_111074_2023-06-21_final
2023-06-21 11:25:57	ga_ls8c_ard_3-2-1_111075_2023-06-21_final
2023-06-21 11:26:21	ga_ls8c_ard_3-2-1_111076_2023-06-21_final
2023-06-21 11:26:45	ga_ls8c_ard_3-2-1_111077_2023-06-21_final
2023-06-21 11:27:09	ga_ls8c_ard_3-2-1_111078_2023-06-21_final
2023-06-21 11:27:33	ga_ls8c_ard_3-2-1_111079_2023-06-21_final
2023-06-21 11:27:57	ga_ls8c_ard_3-2-1_111080_2023-06-21_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
2023-07-07 11:26:57	ga_ls8c_ard_3-2-1_111077_2023-07-07_final
2023-07-07 11:27:21	ga_ls8c_ard_3-2-1_111078_2023-07-07_final
2023-07-07 11:27:45	ga_ls8c_ard_3-2-1_111079_2023-07-07_final
2023-07-07 11:28:09	ga_ls8c_ard_3-2-1_111080_2023-07-07_final
2023-07-14 11:31:10	ga_ls8c_ard_3-2-1_112072_2023-07-14_final
2023-07-14 11:31:34	ga_ls8c_ard_3-2-1_112073_2023-07-14_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-14 11:32:22	ga_ls8c_ard_3-2-1_112075_2023-07-14_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
2023-07-16 11:22:48	ga_ls8c_ard_3-2-1_110082_2023-07-16_final
2023-07-16 11:23:12	ga_ls8c_ard_3-2-1_110083_2023-07-16_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