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
2021-09-03 11:25:55	ga_ls8c_ard_3-2-0_111073_2021-09-03_final
2021-09-03 11:26:19	ga_ls8c_ard_3-2-0_111074_2021-09-03_final
2021-09-03 11:26:43	ga_ls8c_ard_3-2-0_111075_2021-09-03_final
2021-09-03 11:27:07	ga_ls8c_ard_3-2-0_111076_2021-09-03_final
2021-09-03 11:27:31	ga_ls8c_ard_3-2-0_111077_2021-09-03_final
2021-09-03 11:27:55	ga_ls8c_ard_3-2-0_111078_2021-09-03_final
2021-09-03 11:28:19	ga_ls8c_ard_3-2-0_111079_2021-09-03_final
2021-09-05 11:16:46	ga_ls8c_ard_3-2-0_109081_2021-09-05_final
2021-09-05 11:17:10	ga_ls8c_ard_3-2-0_109082_2021-09-05_final
2021-09-05 11:17:34	ga_ls8c_ard_3-2-0_109083_2021-09-05_final
2021-09-05 11:17:58	ga_ls8c_ard_3-2-0_109084_2021-09-05_final
2021-09-05 11:18:22	ga_ls8c_ard_3-2-0_109085_2021-09-05_final
2021-09-19 11:25:59	ga_ls8c_ard_3-2-0_111073_2021-09-19_final
2021-09-19 11:26:23	ga_ls8c_ard_3-2-0_111074_2021-09-19_final
2021-09-19 11:26:47	ga_ls8c_ard_3-2-0_111075_2021-09-19_final
2021-09-19 11:27:11	ga_ls8c_ard_3-2-0_111076_2021-09-19_final
2021-09-19 11:27:34	ga_ls8c_ard_3-2-0_111077_2021-09-19_final
2021-09-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2021-09-19_final
2021-09-19 11:28:22	ga_ls8c_ard_3-2-0_111079_2021-09-19_final
2021-09-21 11:16:49	ga_ls8c_ard_3-2-0_109081_2021-09-21_final
2021-09-21 11:17:13	ga_ls8c_ard_3-2-0_109082_2021-09-21_final
2021-09-21 11:17:37	ga_ls8c_ard_3-2-0_109083_2021-09-21_final
2021-09-21 11:18:01	ga_ls8c_ard_3-2-0_109084_2021-09-21_final
2021-09-21 11:18:25	ga_ls8c_ard_3-2-0_109085_2021-09-21_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
2021-10-16 11:12:21	ga_ls8c_ard_3-2-0_108085_2021-10-16_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-10-21 11:26:31	ga_ls8c_ard_3-2-0_111074_2021-10-21_final
2021-10-21 11:26:55	ga_ls8c_ard_3-2-0_111075_2021-10-21_final
2021-10-21 11:27:19	ga_ls8c_ard_3-2-0_111076_2021-10-21_final
2021-10-21 11:27:43	ga_ls8c_ard_3-2-0_111077_2021-10-21_final
2021-10-21 11:28:07	ga_ls8c_ard_3-2-0_111078_2021-10-21_final
2021-10-23 11:16:57	ga_ls8c_ard_3-2-0_109081_2021-10-23_final
2021-10-23 11:17:21	ga_ls8c_ard_3-2-0_109082_2021-10-23_final
2021-10-23 11:17:45	ga_ls8c_ard_3-2-0_109083_2021-10-23_final
2021-10-23 11:18:09	ga_ls8c_ard_3-2-0_109084_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2021-10-28 11:30:18	ga_ls8c_ard_3-2-0_112068_2021-10-28_final
2021-10-28 11:30:42	ga_ls8c_ard_3-2-0_112069_2021-10-28_final
2021-10-28 11:31:06	ga_ls8c_ard_3-2-0_112070_2021-10-28_final
2021-10-28 11:31:30	ga_ls8c_ard_3-2-0_112071_2021-10-28_final
2021-10-28 11:31:54	ga_ls8c_ard_3-2-0_112072_2021-10-28_final
2021-10-28 11:32:18	ga_ls8c_ard_3-2-0_112073_2021-10-28_final
2021-10-28 11:32:42	ga_ls8c_ard_3-2-0_112074_2021-10-28_final
2021-10-30 11:21:32	ga_ls8c_ard_3-2-0_110077_2021-10-30_final
2021-10-30 11:21:56	ga_ls8c_ard_3-2-0_110078_2021-10-30_final
2021-10-30 11:22:20	ga_ls8c_ard_3-2-0_110079_2021-10-30_final
2021-10-30 11:22:44	ga_ls8c_ard_3-2-0_110080_2021-10-30_final
2021-10-30 11:23:08	ga_ls8c_ard_3-2-0_110081_2021-10-30_final
2021-10-30 11:23:32	ga_ls8c_ard_3-2-0_110082_2021-10-30_final
2021-10-30 11:23:56	ga_ls8c_ard_3-2-0_110083_2021-10-30_final
2021-11-01 11:12:22	ga_ls8c_ard_3-2-0_108085_2021-11-01_final
2021-11-04 11:36:04	ga_ls8c_ard_3-2-0_113067_2021-11-04_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-11-06 11:26:30	ga_ls8c_ard_3-2-0_111074_2021-11-06_final
2021-11-06 11:26:53	ga_ls8c_ard_3-2-0_111075_2021-11-06_final
2021-11-06 11:27:17	ga_ls8c_ard_3-2-0_111076_2021-11-06_final
2021-11-06 11:27:41	ga_ls8c_ard_3-2-0_111077_2021-11-06_final
2021-11-06 11:28:05	ga_ls8c_ard_3-2-0_111078_2021-11-06_final
2021-11-06 11:28:29	ga_ls8c_ard_3-2-0_111079_2021-11-06_final
2021-11-08 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-11-08_final
2021-11-08 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-11-08_final
2021-11-08 11:17:43	ga_ls8c_ard_3-2-0_109083_2021-11-08_final
2021-11-08 11:18:07	ga_ls8c_ard_3-2-0_109084_2021-11-08_final
2021-11-08 11:18:31	ga_ls8c_ard_3-2-0_109085_2021-11-08_final
2022-04-08 11:20:54	ga_ls8c_ard_3-2-1_110077_2022-04-08_final
2022-04-08 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-08_final
2022-04-08 11:21:42	ga_ls8c_ard_3-2-1_110079_2022-04-08_final
2022-04-08 11:22:06	ga_ls8c_ard_3-2-1_110080_2022-04-08_final
2022-04-08 11:22:30	ga_ls8c_ard_3-2-1_110081_2022-04-08_final
2022-04-08 11:22:53	ga_ls8c_ard_3-2-1_110082_2022-04-08_final
2022-04-08 11:23:17	ga_ls8c_ard_3-2-1_110083_2022-04-08_final
2022-04-15 11:25:32	ga_ls8c_ard_3-2-1_111073_2022-04-15_final
2022-04-15 11:25:56	ga_ls8c_ard_3-2-1_111074_2022-04-15_final
2022-04-15 11:26:19	ga_ls8c_ard_3-2-1_111075_2022-04-15_final
2022-04-15 11:26:43	ga_ls8c_ard_3-2-1_111076_2022-04-15_final
2022-04-15 11:27:07	ga_ls8c_ard_3-2-1_111077_2022-04-15_final
2022-04-15 11:27:31	ga_ls8c_ard_3-2-1_111078_2022-04-15_final
2022-05-26 11:21:02	ga_ls8c_ard_3-2-1_110077_2022-05-26_final
2022-05-26 11:21:26	ga_ls8c_ard_3-2-1_110078_2022-05-26_final
2022-05-26 11:21:50	ga_ls8c_ard_3-2-1_110079_2022-05-26_final
2022-05-26 11:22:14	ga_ls8c_ard_3-2-1_110080_2022-05-26_final
2022-05-26 11:22:38	ga_ls8c_ard_3-2-1_110081_2022-05-26_final
2022-05-26 11:23:02	ga_ls8c_ard_3-2-1_110082_2022-05-26_final
2022-05-26 11:23:25	ga_ls8c_ard_3-2-1_110083_2022-05-26_final
2023-03-03 11:16:58	ga_ls8c_ard_3-2-1_109082_2023-03-03_final
2023-03-03 11:17:22	ga_ls8c_ard_3-2-1_109083_2023-03-03_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