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
2019-09-09 11:10:10	ga_ls8c_ard_3-1-0_108080_2019-09-09_final
2019-09-09 11:10:34	ga_ls8c_ard_3-1-0_108081_2019-09-09_final
2019-09-09 11:10:58	ga_ls8c_ard_3-1-0_108082_2019-09-09_final
2019-09-09 11:11:22	ga_ls8c_ard_3-1-0_108083_2019-09-09_final
2019-09-09 11:11:46	ga_ls8c_ard_3-1-0_108084_2019-09-09_final
2019-09-09 11:12:10	ga_ls8c_ard_3-1-0_108085_2019-09-09_final
2019-12-03 11:23:37	ga_ls8c_ard_3-1-0_111067_2019-12-03_final
2019-12-03 11:24:01	ga_ls8c_ard_3-1-0_111068_2019-12-03_final
2019-12-03 11:24:25	ga_ls8c_ard_3-1-0_111069_2019-12-03_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2019-12-03 11:25:12	ga_ls8c_ard_3-1-0_111071_2019-12-03_final
2019-12-03 11:25:36	ga_ls8c_ard_3-1-0_111072_2019-12-03_final
2021-01-06 11:23:32	ga_ls8c_ard_3-2-0_111067_2021-01-06_final
2021-01-06 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-01-06_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-10 11:05:34	ga_ls8c_ard_3-2-0_107084_2021-01-10_final
2021-01-10 11:05:58	ga_ls8c_ard_3-2-0_107085_2021-01-10_final
2021-01-31 11:18:50	ga_ls8c_ard_3-2-0_110071_2021-01-31_final
2021-01-31 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-01-31_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-01-31 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-01-31_final
2021-01-31 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-01-31_final
2021-01-31 11:20:50	ga_ls8c_ard_3-2-0_110076_2021-01-31_final
2021-02-02 11:10:04	ga_ls8c_ard_3-2-0_108080_2021-02-02_final
2021-02-02 11:10:28	ga_ls8c_ard_3-2-0_108081_2021-02-02_final
2021-02-02 11:10:52	ga_ls8c_ard_3-2-0_108082_2021-02-02_final
2021-02-02 11:11:16	ga_ls8c_ard_3-2-0_108083_2021-02-02_final
2021-02-02 11:11:40	ga_ls8c_ard_3-2-0_108084_2021-02-02_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-02-18 11:10:00	ga_ls8c_ard_3-2-0_108080_2021-02-18_final
2021-02-18 11:10:24	ga_ls8c_ard_3-2-0_108081_2021-02-18_final
2021-02-18 11:10:48	ga_ls8c_ard_3-2-0_108082_2021-02-18_final
2021-02-18 11:11:12	ga_ls8c_ard_3-2-0_108083_2021-02-18_final
2021-02-18 11:11:36	ga_ls8c_ard_3-2-0_108084_2021-02-18_final
2021-02-18 11:12:00	ga_ls8c_ard_3-2-0_108085_2021-02-18_final
2021-03-02 11:29:27	ga_ls8c_ard_3-2-0_112067_2021-03-02_final
2021-03-11 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-03-11_final
2021-03-11 11:23:35	ga_ls8c_ard_3-2-0_111068_2021-03-11_final
2021-03-11 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-03-11_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-03-11 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-03-11_final
2021-03-11 11:25:11	ga_ls8c_ard_3-2-0_111072_2021-03-11_final
2021-03-13 11:14:00	ga_ls8c_ard_3-2-0_109075_2021-03-13_final
2021-03-13 11:14:24	ga_ls8c_ard_3-2-0_109076_2021-03-13_final
2021-03-13 11:14:48	ga_ls8c_ard_3-2-0_109077_2021-03-13_final
2021-03-13 11:15:12	ga_ls8c_ard_3-2-0_109078_2021-03-13_final
2021-03-13 11:15:36	ga_ls8c_ard_3-2-0_109079_2021-03-13_final
2021-03-13 11:15:59	ga_ls8c_ard_3-2-0_109080_2021-03-13_final
2021-03-13 11:16:23	ga_ls8c_ard_3-2-0_109081_2021-03-13_final
2021-03-15 11:05:12	ga_ls8c_ard_3-2-0_107084_2021-03-15_final
2021-03-15 11:05:36	ga_ls8c_ard_3-2-0_107085_2021-03-15_final
2021-04-03 11:29:14	ga_ls8c_ard_3-2-0_112067_2021-04-03_final
2021-04-05 11:18:28	ga_ls8c_ard_3-2-0_110071_2021-04-05_final
2021-04-05 11:18:52	ga_ls8c_ard_3-2-0_110072_2021-04-05_final
2021-04-05 11:19:16	ga_ls8c_ard_3-2-0_110073_2021-04-05_final
2021-04-05 11:19:40	ga_ls8c_ard_3-2-0_110074_2021-04-05_final
2021-04-05 11:20:03	ga_ls8c_ard_3-2-0_110075_2021-04-05_final
2021-04-05 11:20:27	ga_ls8c_ard_3-2-0_110076_2021-04-05_final
2021-04-07 11:09:41	ga_ls8c_ard_3-2-0_108080_2021-04-07_final
2021-04-07 11:10:05	ga_ls8c_ard_3-2-0_108081_2021-04-07_final
2021-04-07 11:10:29	ga_ls8c_ard_3-2-0_108082_2021-04-07_final
2021-04-07 11:10:53	ga_ls8c_ard_3-2-0_108083_2021-04-07_final
2021-04-07 11:11:17	ga_ls8c_ard_3-2-0_108084_2021-04-07_final
2021-04-07 11:11:41	ga_ls8c_ard_3-2-0_108085_2021-04-07_final
2021-08-04 11:14:12	ga_ls8c_ard_3-2-0_109075_2021-08-04_final
2021-08-04 11:14:36	ga_ls8c_ard_3-2-0_109076_2021-08-04_final
2021-08-04 11:15:00	ga_ls8c_ard_3-2-0_109077_2021-08-04_final
2021-08-04 11:15:24	ga_ls8c_ard_3-2-0_109078_2021-08-04_final
2021-08-04 11:15:48	ga_ls8c_ard_3-2-0_109079_2021-08-04_final
2021-08-04 11:16:12	ga_ls8c_ard_3-2-0_109080_2021-08-04_final
2021-08-04 11:16:36	ga_ls8c_ard_3-2-0_109081_2021-08-04_final
2021-08-06 11:05:03	ga_ls8c_ard_3-2-0_107083_2021-08-06_final
2021-08-06 11:05:27	ga_ls8c_ard_3-2-0_107084_2021-08-06_final
2021-08-06 11:05:51	ga_ls8c_ard_3-2-0_107085_2021-08-06_final
2021-08-09 11:29:35	ga_ls8c_ard_3-2-0_112067_2021-08-09_final
2021-08-11 11:18:50	ga_ls8c_ard_3-2-0_110071_2021-08-11_final
2021-08-11 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-08-11_final
2021-08-11 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-08-11_final
2021-08-11 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-08-11_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-08-11 11:20:50	ga_ls8c_ard_3-2-0_110076_2021-08-11_final
2021-08-13 11:10:04	ga_ls8c_ard_3-2-0_108080_2021-08-13_final
2021-08-13 11:10:28	ga_ls8c_ard_3-2-0_108081_2021-08-13_final
2021-08-13 11:10:52	ga_ls8c_ard_3-2-0_108082_2021-08-13_final
2021-08-13 11:11:16	ga_ls8c_ard_3-2-0_108083_2021-08-13_final
2021-08-13 11:11:40	ga_ls8c_ard_3-2-0_108084_2021-08-13_final
2021-08-13 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-08-13_final
2021-08-18 11:23:27	ga_ls8c_ard_3-2-0_111067_2021-08-18_final
2021-08-18 11:23:51	ga_ls8c_ard_3-2-0_111068_2021-08-18_final
2021-08-18 11:24:15	ga_ls8c_ard_3-2-0_111069_2021-08-18_final
2021-08-18 11:24:39	ga_ls8c_ard_3-2-0_111070_2021-08-18_final
2021-08-18 11:25:03	ga_ls8c_ard_3-2-0_111071_2021-08-18_final
2021-08-18 11:25:27	ga_ls8c_ard_3-2-0_111072_2021-08-18_final
2023-11-05 11:18:54	ga_ls8c_ard_3-2-1_110071_2023-11-05_final
2023-11-05 11:19:18	ga_ls8c_ard_3-2-1_110072_2023-11-05_final
2023-11-05 11:20:06	ga_ls8c_ard_3-2-1_110074_2023-11-05_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years