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
2014-07-12 11:35:31	ga_ls8c_ard_3-0-0_113067_2014-07-12_final
2014-07-14 11:25:09	ga_ls8c_ard_3-0-0_111072_2014-07-14_final
2014-07-14 11:25:33	ga_ls8c_ard_3-0-0_111073_2014-07-14_final
2014-07-14 11:25:57	ga_ls8c_ard_3-0-0_111074_2014-07-14_final
2014-07-14 11:26:21	ga_ls8c_ard_3-0-0_111075_2014-07-14_final
2014-07-14 11:26:45	ga_ls8c_ard_3-0-0_111076_2014-07-14_final
2014-07-14 11:27:09	ga_ls8c_ard_3-0-0_111077_2014-07-14_final
2014-07-14 11:27:33	ga_ls8c_ard_3-0-0_111078_2014-07-14_final
2014-07-16 11:16:23	ga_ls8c_ard_3-0-0_109081_2014-07-16_final
2014-07-16 11:16:47	ga_ls8c_ard_3-0-0_109082_2014-07-16_final
2014-07-16 11:17:11	ga_ls8c_ard_3-0-0_109083_2014-07-16_final
2014-07-16 11:17:35	ga_ls8c_ard_3-0-0_109084_2014-07-16_final
2014-07-21 11:29:45	ga_ls8c_ard_3-0-0_112068_2014-07-21_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-07-21 11:30:33	ga_ls8c_ard_3-0-0_112070_2014-07-21_final
2014-07-21 11:30:57	ga_ls8c_ard_3-0-0_112071_2014-07-21_final
2014-07-21 11:31:21	ga_ls8c_ard_3-0-0_112072_2014-07-21_final
2014-07-21 11:31:45	ga_ls8c_ard_3-0-0_112073_2014-07-21_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-08-22 11:30:21	ga_ls8c_ard_3-0-0_112069_2014-08-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-08-22 11:31:09	ga_ls8c_ard_3-0-0_112071_2014-08-22_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-08-22 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-08-22_final
2014-08-24 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-08-24_final
2014-08-24 11:21:35	ga_ls8c_ard_3-0-0_110078_2014-08-24_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-08-24 11:22:23	ga_ls8c_ard_3-0-0_110080_2014-08-24_final
2014-08-24 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-08-24_final
2014-08-24 11:23:11	ga_ls8c_ard_3-0-0_110082_2014-08-24_final
2014-08-31 11:25:47	ga_ls8c_ard_3-0-0_111073_2014-08-31_final
2014-08-31 11:26:11	ga_ls8c_ard_3-0-0_111074_2014-08-31_final
2014-08-31 11:26:34	ga_ls8c_ard_3-0-0_111075_2014-08-31_final
2014-09-02 11:16:37	ga_ls8c_ard_3-0-0_109081_2014-09-02_final
2014-09-02 11:17:01	ga_ls8c_ard_3-0-0_109082_2014-09-02_final
2014-09-02 11:17:25	ga_ls8c_ard_3-0-0_109083_2014-09-02_final
2014-09-02 11:17:49	ga_ls8c_ard_3-0-0_109084_2014-09-02_final
2014-09-23 11:29:58	ga_ls8c_ard_3-0-0_112068_2014-09-23_final
2014-09-23 11:30:22	ga_ls8c_ard_3-0-0_112069_2014-09-23_final
2014-09-23 11:30:46	ga_ls8c_ard_3-0-0_112070_2014-09-23_final
2014-09-23 11:31:10	ga_ls8c_ard_3-0-0_112071_2014-09-23_final
2014-09-23 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-09-23_final
2014-09-23 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-09-23_final
2014-09-25 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-09-25_final
2014-09-25 11:21:34	ga_ls8c_ard_3-0-0_110078_2014-09-25_final
2014-09-25 11:21:58	ga_ls8c_ard_3-0-0_110079_2014-09-25_final
2014-09-25 11:22:22	ga_ls8c_ard_3-0-0_110080_2014-09-25_final
2014-09-25 11:22:46	ga_ls8c_ard_3-0-0_110081_2014-09-25_final
2014-09-25 11:23:10	ga_ls8c_ard_3-0-0_110082_2014-09-25_final
2014-09-30 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-09-30_final
2014-10-09 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-10-09_final
2014-10-09 11:31:16	ga_ls8c_ard_3-0-0_112071_2014-10-09_final
2014-10-09 11:31:40	ga_ls8c_ard_3-0-0_112072_2014-10-09_final
2014-10-09 11:32:04	ga_ls8c_ard_3-0-0_112073_2014-10-09_final
2014-10-11 11:21:19	ga_ls8c_ard_3-0-0_110077_2014-10-11_final
2014-10-11 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-11_final
2014-10-11 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-11 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-10-11_final
2014-10-11 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-10-11_final
2014-10-16 11:35:53	ga_ls8c_ard_3-0-0_113067_2014-10-16_final
2014-10-18 11:25:31	ga_ls8c_ard_3-0-0_111072_2014-10-18_final
2014-10-18 11:25:55	ga_ls8c_ard_3-0-0_111073_2014-10-18_final
2014-10-18 11:26:19	ga_ls8c_ard_3-0-0_111074_2014-10-18_final
2014-10-18 11:26:43	ga_ls8c_ard_3-0-0_111075_2014-10-18_final
2014-10-18 11:27:07	ga_ls8c_ard_3-0-0_111076_2014-10-18_final
2014-10-18 11:27:31	ga_ls8c_ard_3-0-0_111077_2014-10-18_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2023-03-08 11:31:27	ga_ls8c_ard_3-2-1_112072_2023-03-08_final
2023-03-08 11:31:51	ga_ls8c_ard_3-2-1_112073_2023-03-08_final
2023-03-10 11:21:05	ga_ls8c_ard_3-2-1_110077_2023-03-10_final
2023-03-10 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-03-10_final
2023-03-10 11:21:53	ga_ls8c_ard_3-2-1_110079_2023-03-10_final
2023-03-10 11:22:17	ga_ls8c_ard_3-2-1_110080_2023-03-10_final
2023-03-10 11:22:41	ga_ls8c_ard_3-2-1_110081_2023-03-10_final
2023-03-10 11:23:04	ga_ls8c_ard_3-2-1_110082_2023-03-10_final
2024-01-22 11:31:32	ga_ls8c_ard_3-2-1_112072_2024-01-22_final
2024-01-22 11:31:56	ga_ls8c_ard_3-2-1_112073_2024-01-22_final
2024-02-09 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-02-09_final
2024-02-09 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-02-09_final
2024-02-09 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-02-09_final
2024-02-09 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-02-09_final
2024-02-09 11:22:48	ga_ls8c_ard_3-2-1_110081_2024-02-09_final
2024-02-09 11:23:12	ga_ls8c_ard_3-2-1_110082_2024-02-09_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-18 11:16:59	ga_ls8c_ard_3-2-1_109082_2024-02-18_final
2024-02-18 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-18_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-03-03 11:25:14	ga_ls8c_ard_3-2-1_111072_2024-03-03_final
2024-03-03 11:25:38	ga_ls8c_ard_3-2-1_111073_2024-03-03_final
2024-03-03 11:26:01	ga_ls8c_ard_3-2-1_111074_2024-03-03_final
2024-03-03 11:26:25	ga_ls8c_ard_3-2-1_111075_2024-03-03_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-03 11:27:13	ga_ls8c_ard_3-2-1_111077_2024-03-03_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-05 11:16:49	ga_ls8c_ard_3-2-1_109082_2024-03-05_final
2024-03-05 11:17:13	ga_ls8c_ard_3-2-1_109083_2024-03-05_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