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
2015-03-09 11:35:19	ga_ls8c_ard_3-0-0_113067_2015-03-09_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-03-09 11:37:43	ga_ls8c_ard_3-0-0_113073_2015-03-09_final
2015-03-16 11:41:26	ga_ls8c_ard_3-0-0_114067_2015-03-16_final
2015-04-01 11:41:15	ga_ls8c_ard_3-0-0_114067_2015-04-01_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-04-03 11:31:14	ga_ls8c_ard_3-0-0_112073_2015-04-03_final
2015-04-03 11:31:38	ga_ls8c_ard_3-0-0_112074_2015-04-03_final
2015-04-03 11:32:02	ga_ls8c_ard_3-0-0_112075_2015-04-03_final
2015-04-03 11:32:26	ga_ls8c_ard_3-0-0_112076_2015-04-03_final
2015-04-03 11:32:50	ga_ls8c_ard_3-0-0_112077_2015-04-03_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-05-12 11:36:41	ga_ls8c_ard_3-0-0_113072_2015-05-12_final
2015-05-12 11:37:05	ga_ls8c_ard_3-0-0_113073_2015-05-12_final
2015-05-21 11:30:31	ga_ls8c_ard_3-0-0_112072_2015-05-21_final
2015-05-21 11:30:55	ga_ls8c_ard_3-0-0_112073_2015-05-21_final
2015-05-21 11:31:19	ga_ls8c_ard_3-0-0_112074_2015-05-21_final
2015-05-21 11:31:43	ga_ls8c_ard_3-0-0_112075_2015-05-21_final
2015-05-21 11:32:07	ga_ls8c_ard_3-0-0_112076_2015-05-21_final
2015-05-21 11:32:31	ga_ls8c_ard_3-0-0_112077_2015-05-21_final
2015-06-04 11:41:00	ga_ls8c_ard_3-0-0_114067_2015-06-04_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-06-22 11:31:11	ga_ls8c_ard_3-0-0_112073_2015-06-22_final
2015-06-22 11:31:35	ga_ls8c_ard_3-0-0_112074_2015-06-22_final
2015-06-22 11:31:59	ga_ls8c_ard_3-0-0_112075_2015-06-22_final
2015-06-22 11:32:23	ga_ls8c_ard_3-0-0_112076_2015-06-22_final
2015-06-22 11:32:47	ga_ls8c_ard_3-0-0_112077_2015-06-22_final
2023-09-02 11:22:17	ga_ls8c_ard_3-2-1_110080_2023-09-02_final
2023-09-02 11:22:41	ga_ls8c_ard_3-2-1_110081_2023-09-02_final
2023-09-02 11:23:05	ga_ls8c_ard_3-2-1_110082_2023-09-02_final
2023-09-02 11:23:29	ga_ls8c_ard_3-2-1_110083_2023-09-02_final
2023-09-02 11:23:53	ga_ls8c_ard_3-2-1_110084_2023-09-02_final
2023-09-02 11:24:17	ga_ls8c_ard_3-2-1_110085_2023-09-02_final
2023-09-23 11:37:43	ga_ls8c_ard_3-2-1_113072_2023-09-23_final
2023-09-23 11:38:07	ga_ls8c_ard_3-2-1_113073_2023-09-23_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-02 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-10-02_final
2023-10-02 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-10-02_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-02 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-10-02_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_final
2023-10-04 11:22:25	ga_ls8c_ard_3-2-1_110080_2023-10-04_final
2023-10-04 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-10-04_final
2023-10-04 11:23:13	ga_ls8c_ard_3-2-1_110082_2023-10-04_final
2023-10-04 11:23:37	ga_ls8c_ard_3-2-1_110083_2023-10-04_final
2023-10-04 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-10-04_final
2023-10-04 11:24:25	ga_ls8c_ard_3-2-1_110085_2023-10-04_final
2023-10-11 11:27:03	ga_ls8c_ard_3-2-1_111076_2023-10-11_final
2023-10-11 11:27:27	ga_ls8c_ard_3-2-1_111077_2023-10-11_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-11 11:28:15	ga_ls8c_ard_3-2-1_111079_2023-10-11_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-11 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-10-11_final
2023-10-11 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-10-11_final
2023-10-13 11:17:53	ga_ls8c_ard_3-2-1_109084_2023-10-13_final
2023-10-20 11:22:26	ga_ls8c_ard_3-2-1_110080_2023-10-20_final
2023-10-20 11:22:50	ga_ls8c_ard_3-2-1_110081_2023-10-20_final
2023-10-20 11:23:14	ga_ls8c_ard_3-2-1_110082_2023-10-20_final
2023-10-20 11:23:38	ga_ls8c_ard_3-2-1_110083_2023-10-20_final
2023-10-20 11:24:02	ga_ls8c_ard_3-2-1_110084_2023-10-20_final
2023-10-20 11:24:26	ga_ls8c_ard_3-2-1_110085_2023-10-20_final
2023-11-26 11:37:54	ga_ls8c_ard_3-2-1_113072_2023-11-26_final
2023-11-26 11:38:18	ga_ls8c_ard_3-2-1_113073_2023-11-26_final
2023-11-28 11:27:07	ga_ls8c_ard_3-2-1_111076_2023-11-28_final
2023-11-28 11:27:31	ga_ls8c_ard_3-2-1_111077_2023-11-28_final
2023-11-28 11:27:55	ga_ls8c_ard_3-2-1_111078_2023-11-28_final
2023-11-28 11:28:19	ga_ls8c_ard_3-2-1_111079_2023-11-28_final
2023-11-28 11:28:43	ga_ls8c_ard_3-2-1_111080_2023-11-28_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-11-28 11:29:31	ga_ls8c_ard_3-2-1_111082_2023-11-28_final
2023-11-30 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-11-30_final
2024-03-28 11:21:53	ga_ls8c_ard_3-2-1_110080_2024-03-28_nrt
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_nrt
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_nrt
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_nrt
2024-03-28 11:23:29	ga_ls8c_ard_3-2-1_110084_2024-03-28_nrt
2024-03-28 11:23:53	ga_ls8c_ard_3-2-1_110085_2024-03-28_nrt
2024-04-02 11:37:16	ga_ls8c_ard_3-2-1_113072_2024-04-02_final
2024-04-02 11:37:40	ga_ls8c_ard_3-2-1_113073_2024-04-02_nrt
2024-04-04 11:26:30	ga_ls8c_ard_3-2-1_111076_2024-04-04_nrt
2024-04-04 11:26:54	ga_ls8c_ard_3-2-1_111077_2024-04-04_nrt
2024-04-04 11:27:18	ga_ls8c_ard_3-2-1_111078_2024-04-04_nrt
2024-04-04 11:27:41	ga_ls8c_ard_3-2-1_111079_2024-04-04_nrt
2024-04-04 11:28:05	ga_ls8c_ard_3-2-1_111080_2024-04-04_nrt
2024-04-04 11:28:29	ga_ls8c_ard_3-2-1_111081_2024-04-04_nrt
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-06 11:17:19	ga_ls8c_ard_3-2-1_109084_2024-04-06_final
2024-04-11 11:31:03	ga_ls8c_ard_3-2-1_112072_2024-04-11_nrt
2024-04-11 11:31:27	ga_ls8c_ard_3-2-1_112073_2024-04-11_nrt
2024-04-11 11:31:51	ga_ls8c_ard_3-2-1_112074_2024-04-11_nrt
2024-04-11 11:32:15	ga_ls8c_ard_3-2-1_112075_2024-04-11_nrt
2024-04-11 11:32:39	ga_ls8c_ard_3-2-1_112076_2024-04-11_nrt
2024-04-11 11:33:03	ga_ls8c_ard_3-2-1_112077_2024-04-11_nrt
2024-04-13 11:21:52	ga_ls8c_ard_3-2-1_110080_2024-04-13_nrt
2024-04-13 11:22:15	ga_ls8c_ard_3-2-1_110081_2024-04-13_nrt
2024-04-13 11:22:39	ga_ls8c_ard_3-2-1_110082_2024-04-13_nrt
2024-04-13 11:23:03	ga_ls8c_ard_3-2-1_110083_2024-04-13_nrt
2024-04-13 11:23:27	ga_ls8c_ard_3-2-1_110084_2024-04-13_nrt
2024-04-13 11:23:51	ga_ls8c_ard_3-2-1_110085_2024-04-13_nrt
2024-04-18 11:37:08	ga_ls8c_ard_3-2-1_113072_2024-04-18_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