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
2016-05-07 11:29:52	ga_ls8c_ard_3-0-0_112069_2016-05-07_final
2016-05-07 11:30:16	ga_ls8c_ard_3-0-0_112070_2016-05-07_final
2016-05-07 11:30:40	ga_ls8c_ard_3-0-0_112071_2016-05-07_final
2016-05-07 11:31:04	ga_ls8c_ard_3-0-0_112072_2016-05-07_final
2016-05-07 11:31:28	ga_ls8c_ard_3-0-0_112073_2016-05-07_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-05-09 11:21:04	ga_ls8c_ard_3-0-0_110078_2016-05-09_final
2016-05-09 11:21:28	ga_ls8c_ard_3-0-0_110079_2016-05-09_final
2016-05-09 11:21:52	ga_ls8c_ard_3-0-0_110080_2016-05-09_final
2016-05-09 11:22:16	ga_ls8c_ard_3-0-0_110081_2016-05-09_final
2016-05-09 11:22:40	ga_ls8c_ard_3-0-0_110082_2016-05-09_final
2016-05-09 11:23:04	ga_ls8c_ard_3-0-0_110083_2016-05-09_final
2016-05-16 11:25:15	ga_ls8c_ard_3-0-0_111073_2016-05-16_final
2016-05-16 11:25:39	ga_ls8c_ard_3-0-0_111074_2016-05-16_final
2016-05-16 11:26:03	ga_ls8c_ard_3-0-0_111075_2016-05-16_final
2016-05-16 11:26:26	ga_ls8c_ard_3-0-0_111076_2016-05-16_final
2016-05-16 11:26:50	ga_ls8c_ard_3-0-0_111077_2016-05-16_final
2016-05-16 11:27:14	ga_ls8c_ard_3-0-0_111078_2016-05-16_final
2016-05-16 11:27:38	ga_ls8c_ard_3-0-0_111079_2016-05-16_final
2016-05-18 11:16:30	ga_ls8c_ard_3-0-0_109082_2016-05-18_final
2016-05-18 11:16:53	ga_ls8c_ard_3-0-0_109083_2016-05-18_final
2016-05-18 11:17:17	ga_ls8c_ard_3-0-0_109084_2016-05-18_final
2016-05-18 11:17:41	ga_ls8c_ard_3-0-0_109085_2016-05-18_final
2016-05-23 11:29:53	ga_ls8c_ard_3-0-0_112069_2016-05-23_final
2016-05-23 11:30:17	ga_ls8c_ard_3-0-0_112070_2016-05-23_final
2016-05-23 11:30:41	ga_ls8c_ard_3-0-0_112071_2016-05-23_final
2016-05-23 11:31:05	ga_ls8c_ard_3-0-0_112072_2016-05-23_final
2016-05-23 11:31:29	ga_ls8c_ard_3-0-0_112073_2016-05-23_final
2016-05-23 11:31:53	ga_ls8c_ard_3-0-0_112074_2016-05-23_final
2016-05-25 11:21:08	ga_ls8c_ard_3-0-0_110078_2016-05-25_final
2016-05-25 11:21:32	ga_ls8c_ard_3-0-0_110079_2016-05-25_final
2016-05-25 11:21:55	ga_ls8c_ard_3-0-0_110080_2016-05-25_final
2016-05-25 11:22:19	ga_ls8c_ard_3-0-0_110081_2016-05-25_final
2016-05-25 11:22:43	ga_ls8c_ard_3-0-0_110082_2016-05-25_final
2016-05-25 11:23:07	ga_ls8c_ard_3-0-0_110083_2016-05-25_final
2016-06-03 11:16:35	ga_ls8c_ard_3-0-0_109082_2016-06-03_final
2016-06-03 11:16:59	ga_ls8c_ard_3-0-0_109083_2016-06-03_final
2016-06-03 11:17:23	ga_ls8c_ard_3-0-0_109084_2016-06-03_final
2016-06-03 11:17:47	ga_ls8c_ard_3-0-0_109085_2016-06-03_final
2016-06-08 11:29:57	ga_ls8c_ard_3-0-0_112069_2016-06-08_final
2016-06-08 11:30:21	ga_ls8c_ard_3-0-0_112070_2016-06-08_final
2016-06-08 11:30:45	ga_ls8c_ard_3-0-0_112071_2016-06-08_final
2016-06-08 11:31:09	ga_ls8c_ard_3-0-0_112072_2016-06-08_final
2016-06-08 11:31:33	ga_ls8c_ard_3-0-0_112073_2016-06-08_final
2016-06-08 11:31:57	ga_ls8c_ard_3-0-0_112074_2016-06-08_final
2016-06-10 11:21:11	ga_ls8c_ard_3-0-0_110078_2016-06-10_final
2016-06-10 11:21:35	ga_ls8c_ard_3-0-0_110079_2016-06-10_final
2016-06-10 11:21:59	ga_ls8c_ard_3-0-0_110080_2016-06-10_final
2016-06-10 11:22:23	ga_ls8c_ard_3-0-0_110081_2016-06-10_final
2016-06-10 11:22:47	ga_ls8c_ard_3-0-0_110082_2016-06-10_final
2016-06-10 11:23:11	ga_ls8c_ard_3-0-0_110083_2016-06-10_final
2016-07-01 11:35:30	ga_ls8c_ard_3-0-0_113067_2016-07-01_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-07-03 11:25:57	ga_ls8c_ard_3-0-0_111074_2016-07-03_final
2016-07-03 11:26:21	ga_ls8c_ard_3-0-0_111075_2016-07-03_final
2016-07-03 11:26:45	ga_ls8c_ard_3-0-0_111076_2016-07-03_final
2016-07-03 11:27:09	ga_ls8c_ard_3-0-0_111077_2016-07-03_final
2016-07-03 11:27:33	ga_ls8c_ard_3-0-0_111078_2016-07-03_final
2016-07-03 11:27:57	ga_ls8c_ard_3-0-0_111079_2016-07-03_final
2016-07-05 11:16:48	ga_ls8c_ard_3-0-0_109082_2016-07-05_final
2016-07-05 11:17:12	ga_ls8c_ard_3-0-0_109083_2016-07-05_final
2016-07-05 11:17:36	ga_ls8c_ard_3-0-0_109084_2016-07-05_final
2016-07-05 11:18:00	ga_ls8c_ard_3-0-0_109085_2016-07-05_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-07-26 11:30:16	ga_ls8c_ard_3-0-0_112069_2016-07-26_final
2016-07-26 11:30:40	ga_ls8c_ard_3-0-0_112070_2016-07-26_final
2016-07-26 11:31:04	ga_ls8c_ard_3-0-0_112071_2016-07-26_final
2016-07-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2016-07-26_final
2016-07-26 11:31:52	ga_ls8c_ard_3-0-0_112073_2016-07-26_final
2016-07-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2016-07-26_final
2016-07-28 11:21:30	ga_ls8c_ard_3-0-0_110078_2016-07-28_final
2016-07-28 11:21:54	ga_ls8c_ard_3-0-0_110079_2016-07-28_final
2016-07-28 11:22:18	ga_ls8c_ard_3-0-0_110080_2016-07-28_final
2016-07-28 11:22:42	ga_ls8c_ard_3-0-0_110081_2016-07-28_final
2016-07-28 11:23:06	ga_ls8c_ard_3-0-0_110082_2016-07-28_final
2016-07-28 11:23:30	ga_ls8c_ard_3-0-0_110083_2016-07-28_final
2016-08-11 11:30:18	ga_ls8c_ard_3-0-0_112069_2016-08-11_final
2016-08-11 11:30:42	ga_ls8c_ard_3-0-0_112070_2016-08-11_final
2016-08-11 11:31:06	ga_ls8c_ard_3-0-0_112071_2016-08-11_final
2016-08-11 11:31:30	ga_ls8c_ard_3-0-0_112072_2016-08-11_final
2016-08-11 11:31:54	ga_ls8c_ard_3-0-0_112073_2016-08-11_final
2016-08-11 11:32:18	ga_ls8c_ard_3-0-0_112074_2016-08-11_final
2016-10-16 11:21:50	ga_ls8c_ard_3-0-0_110078_2016-10-16_final
2017-07-20 11:35:31	ga_ls8c_ard_3-0-0_113067_2017-07-20_final
2017-09-15 11:30:23	ga_ls8c_ard_3-0-0_112069_2017-09-15_final
2017-09-15 11:30:47	ga_ls8c_ard_3-0-0_112070_2017-09-15_final
2017-09-15 11:31:11	ga_ls8c_ard_3-0-0_112071_2017-09-15_final
2017-09-15 11:31:35	ga_ls8c_ard_3-0-0_112072_2017-09-15_final
2017-09-15 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-09-15_final
2017-09-15 11:32:22	ga_ls8c_ard_3-0-0_112074_2017-09-15_final
2024-03-21 11:16:40	ga_ls8c_ard_3-2-1_109082_2024-03-21_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-21 11:17:28	ga_ls8c_ard_3-2-1_109084_2024-03-21_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-03-28 11:21:29	ga_ls8c_ard_3-2-1_110079_2024-03-28_final
2024-03-28 11:21:53	ga_ls8c_ard_3-2-1_110080_2024-03-28_final
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-04-20 11:25:09	ga_ls8c_ard_3-2-1_111073_2024-04-20_nrt

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