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
2021-04-17 11:41:31	ga_ls8c_ard_3-2-0_114067_2021-04-17_final
2021-04-21 11:22:44	ga_ls8c_ard_3-2-0_110082_2021-04-21_final
2021-04-21 11:23:08	ga_ls8c_ard_3-2-0_110083_2021-04-21_final
2021-04-21 11:23:32	ga_ls8c_ard_3-2-0_110084_2021-04-21_final
2021-04-21 11:23:56	ga_ls8c_ard_3-2-0_110085_2021-04-21_final
2021-08-25 11:32:27	ga_ls8c_ard_3-2-0_112074_2021-08-25_final
2021-08-25 11:33:15	ga_ls8c_ard_3-2-0_112076_2021-08-25_final
2021-08-25 11:33:39	ga_ls8c_ard_3-2-0_112077_2021-08-25_final
2021-09-01 11:37:53	ga_ls8c_ard_3-2-0_113072_2021-09-01_final
2021-09-01 11:38:16	ga_ls8c_ard_3-2-0_113073_2021-09-01_final
2021-09-01 11:38:40	ga_ls8c_ard_3-2-0_113074_2021-09-01_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
2021-09-03 11:28:43	ga_ls8c_ard_3-2-0_111080_2021-09-03_final
2021-09-03 11:29:07	ga_ls8c_ard_3-2-0_111081_2021-09-03_final
2021-09-03 11:29:31	ga_ls8c_ard_3-2-0_111082_2021-09-03_final
2021-09-03 11:29:55	ga_ls8c_ard_3-2-0_111083_2021-09-03_final
2021-09-05 11:18:22	ga_ls8c_ard_3-2-0_109085_2021-09-05_final
2021-09-10 11:32:08	ga_ls8c_ard_3-2-0_112073_2021-09-10_final
2021-09-10 11:32:32	ga_ls8c_ard_3-2-0_112074_2021-09-10_final
2021-09-10 11:32:56	ga_ls8c_ard_3-2-0_112075_2021-09-10_final
2021-09-10 11:33:20	ga_ls8c_ard_3-2-0_112076_2021-09-10_final
2021-09-10 11:33:44	ga_ls8c_ard_3-2-0_112077_2021-09-10_final
2021-09-10 11:34:08	ga_ls8c_ard_3-2-0_112078_2021-09-10_final
2021-09-10 11:34:32	ga_ls8c_ard_3-2-0_112079_2021-09-10_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-12 11:23:46	ga_ls8c_ard_3-2-0_110083_2021-09-12_final
2021-09-12 11:24:10	ga_ls8c_ard_3-2-0_110084_2021-09-12_final
2021-09-12 11:24:34	ga_ls8c_ard_3-2-0_110085_2021-09-12_final
2021-09-24 11:42:08	ga_ls8c_ard_3-2-0_114067_2021-09-24_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-09-28 11:24:14	ga_ls8c_ard_3-2-0_110084_2021-09-28_final
2021-09-28 11:24:38	ga_ls8c_ard_3-2-0_110085_2021-09-28_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
2021-10-12 11:33:05	ga_ls8c_ard_3-2-0_112075_2021-10-12_final
2021-10-12 11:33:29	ga_ls8c_ard_3-2-0_112076_2021-10-12_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-12 11:34:16	ga_ls8c_ard_3-2-0_112078_2021-10-12_final
2021-10-12 11:34:40	ga_ls8c_ard_3-2-0_112079_2021-10-12_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
2021-10-14 11:24:19	ga_ls8c_ard_3-2-0_110084_2021-10-14_final
2021-10-14 11:24:43	ga_ls8c_ard_3-2-0_110085_2021-10-14_final
2021-12-15 11:32:13	ga_ls8c_ard_3-2-1_112073_2021-12-15_final
2021-12-15 11:32:37	ga_ls8c_ard_3-2-1_112074_2021-12-15_final
2021-12-15 11:33:01	ga_ls8c_ard_3-2-1_112075_2021-12-15_final
2021-12-15 11:33:24	ga_ls8c_ard_3-2-1_112076_2021-12-15_final
2021-12-15 11:33:48	ga_ls8c_ard_3-2-1_112077_2021-12-15_final
2021-12-15 11:34:12	ga_ls8c_ard_3-2-1_112078_2021-12-15_final
2021-12-15 11:34:36	ga_ls8c_ard_3-2-1_112079_2021-12-15_final
2021-12-17 11:23:26	ga_ls8c_ard_3-2-1_110082_2021-12-17_final
2021-12-17 11:23:50	ga_ls8c_ard_3-2-1_110083_2021-12-17_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-17 11:24:38	ga_ls8c_ard_3-2-1_110085_2021-12-17_final
2021-12-22 11:37:58	ga_ls8c_ard_3-2-1_113072_2021-12-22_final
2021-12-22 11:38:22	ga_ls8c_ard_3-2-1_113073_2021-12-22_final
2021-12-22 11:38:46	ga_ls8c_ard_3-2-1_113074_2021-12-22_final
2022-01-02 11:23:21	ga_ls8c_ard_3-2-1_110082_2022-01-02_final
2022-01-02 11:23:45	ga_ls8c_ard_3-2-1_110083_2022-01-02_final
2022-01-02 11:24:09	ga_ls8c_ard_3-2-1_110084_2022-01-02_final
2022-01-02 11:24:32	ga_ls8c_ard_3-2-1_110085_2022-01-02_final
2022-01-16 11:32:05	ga_ls8c_ard_3-2-1_112073_2022-01-16_final
2022-01-16 11:32:29	ga_ls8c_ard_3-2-1_112074_2022-01-16_final
2022-01-16 11:32:53	ga_ls8c_ard_3-2-1_112075_2022-01-16_final
2022-01-16 11:33:17	ga_ls8c_ard_3-2-1_112076_2022-01-16_final
2022-01-16 11:33:41	ga_ls8c_ard_3-2-1_112077_2022-01-16_final
2022-01-16 11:34:05	ga_ls8c_ard_3-2-1_112078_2022-01-16_final
2022-01-16 11:34:29	ga_ls8c_ard_3-2-1_112079_2022-01-16_final
2022-05-10 11:22:59	ga_ls8c_ard_3-2-1_110082_2022-05-10_final
2022-05-10 11:23:23	ga_ls8c_ard_3-2-1_110083_2022-05-10_final
2022-05-10 11:23:47	ga_ls8c_ard_3-2-1_110084_2022-05-10_final
2022-05-10 11:24:11	ga_ls8c_ard_3-2-1_110085_2022-05-10_final
2023-01-03 11:32:17	ga_ls8c_ard_3-2-1_112073_2023-01-03_final
2023-01-03 11:32:41	ga_ls8c_ard_3-2-1_112074_2023-01-03_final
2023-01-03 11:33:05	ga_ls8c_ard_3-2-1_112075_2023-01-03_final
2023-01-03 11:33:29	ga_ls8c_ard_3-2-1_112076_2023-01-03_final
2023-01-03 11:33:53	ga_ls8c_ard_3-2-1_112077_2023-01-03_final
2023-01-03 11:34:17	ga_ls8c_ard_3-2-1_112078_2023-01-03_final
2023-01-03 11:34:41	ga_ls8c_ard_3-2-1_112079_2023-01-03_final
2023-01-05 11:23:31	ga_ls8c_ard_3-2-1_110082_2023-01-05_final
2023-01-05 11:23:55	ga_ls8c_ard_3-2-1_110083_2023-01-05_final
2023-01-05 11:24:18	ga_ls8c_ard_3-2-1_110084_2023-01-05_final
2023-01-05 11:24:42	ga_ls8c_ard_3-2-1_110085_2023-01-05_final
2023-01-10 11:38:02	ga_ls8c_ard_3-2-1_113072_2023-01-10_final
2023-01-10 11:38:26	ga_ls8c_ard_3-2-1_113073_2023-01-10_final
2023-01-10 11:38:50	ga_ls8c_ard_3-2-1_113074_2023-01-10_final
2023-01-12 11:28:02	ga_ls8c_ard_3-2-1_111078_2023-01-12_final
2023-01-12 11:28:26	ga_ls8c_ard_3-2-1_111079_2023-01-12_final
2023-01-12 11:28:50	ga_ls8c_ard_3-2-1_111080_2023-01-12_final
2023-01-12 11:29:14	ga_ls8c_ard_3-2-1_111081_2023-01-12_final
2023-01-12 11:29:38	ga_ls8c_ard_3-2-1_111082_2023-01-12_final
2023-01-12 11:30:02	ga_ls8c_ard_3-2-1_111083_2023-01-12_final
2023-01-19 11:32:10	ga_ls8c_ard_3-2-1_112073_2023-01-19_final
2023-01-19 11:32:33	ga_ls8c_ard_3-2-1_112074_2023-01-19_final
2023-01-19 11:32:57	ga_ls8c_ard_3-2-1_112075_2023-01-19_final
2023-01-19 11:33:21	ga_ls8c_ard_3-2-1_112076_2023-01-19_final
2023-01-19 11:33:45	ga_ls8c_ard_3-2-1_112077_2023-01-19_final
2023-01-19 11:34:09	ga_ls8c_ard_3-2-1_112078_2023-01-19_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