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
2015-04-28 11:22:58	ga_ls8c_ard_3-0-0_111068_2015-04-28_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-04-28 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-04-28_final
2015-04-28 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-04-28_final
2015-04-28 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-04-28_final
2015-04-28 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-04-28_final
2015-04-28 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-04-28_final
2015-05-30 11:22:46	ga_ls8c_ard_3-0-0_111068_2015-05-30_final
2015-05-30 11:23:10	ga_ls8c_ard_3-0-0_111069_2015-05-30_final
2015-05-30 11:23:34	ga_ls8c_ard_3-0-0_111070_2015-05-30_final
2015-05-30 11:23:58	ga_ls8c_ard_3-0-0_111071_2015-05-30_final
2015-05-30 11:24:22	ga_ls8c_ard_3-0-0_111072_2015-05-30_final
2015-05-30 11:24:46	ga_ls8c_ard_3-0-0_111073_2015-05-30_final
2015-05-30 11:25:10	ga_ls8c_ard_3-0-0_111074_2015-05-30_final
2015-06-15 11:22:59	ga_ls8c_ard_3-0-0_111068_2015-06-15_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-15 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-06-15_final
2015-06-15 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-06-15_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-06-15 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-06-15_final
2015-07-03 11:14:20	ga_ls8c_ard_3-0-0_109077_2015-07-03_final
2015-07-03 11:14:44	ga_ls8c_ard_3-0-0_109078_2015-07-03_final
2015-07-03 11:15:08	ga_ls8c_ard_3-0-0_109079_2015-07-03_final
2015-07-03 11:15:32	ga_ls8c_ard_3-0-0_109080_2015-07-03_final
2015-07-03 11:15:56	ga_ls8c_ard_3-0-0_109081_2015-07-03_final
2015-07-03 11:16:20	ga_ls8c_ard_3-0-0_109082_2015-07-03_final
2015-07-03 11:16:44	ga_ls8c_ard_3-0-0_109083_2015-07-03_final
2015-07-05 11:05:12	ga_ls8c_ard_3-0-0_107085_2015-07-05_final
2015-08-04 11:14:57	ga_ls8c_ard_3-0-0_109078_2015-08-04_final
2015-08-04 11:15:20	ga_ls8c_ard_3-0-0_109079_2015-08-04_final
2015-08-04 11:15:44	ga_ls8c_ard_3-0-0_109080_2015-08-04_final
2015-08-04 11:16:08	ga_ls8c_ard_3-0-0_109081_2015-08-04_final
2015-08-04 11:16:32	ga_ls8c_ard_3-0-0_109082_2015-08-04_final
2015-08-04 11:16:56	ga_ls8c_ard_3-0-0_109083_2015-08-04_final
2015-08-06 11:05:22	ga_ls8c_ard_3-0-0_107085_2015-08-06_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2015-12-24 11:24:14	ga_ls8c_ard_3-0-0_111069_2015-12-24_final
2015-12-24 11:24:38	ga_ls8c_ard_3-0-0_111070_2015-12-24_final
2015-12-24 11:25:02	ga_ls8c_ard_3-0-0_111071_2015-12-24_final
2015-12-24 11:25:26	ga_ls8c_ard_3-0-0_111072_2015-12-24_final
2015-12-24 11:25:49	ga_ls8c_ard_3-0-0_111073_2015-12-24_final
2015-12-24 11:26:13	ga_ls8c_ard_3-0-0_111074_2015-12-24_final
2016-03-13 11:23:32	ga_ls8c_ard_3-0-0_111068_2016-03-13_final
2016-03-13 11:23:56	ga_ls8c_ard_3-0-0_111069_2016-03-13_final
2016-03-13 11:24:20	ga_ls8c_ard_3-0-0_111070_2016-03-13_final
2016-03-13 11:24:44	ga_ls8c_ard_3-0-0_111071_2016-03-13_final
2016-03-13 11:25:08	ga_ls8c_ard_3-0-0_111072_2016-03-13_final
2016-03-13 11:25:32	ga_ls8c_ard_3-0-0_111073_2016-03-13_final
2016-03-13 11:25:56	ga_ls8c_ard_3-0-0_111074_2016-03-13_final
2021-09-03 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-09-03_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-09-03 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-09-03_final
2021-09-03 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-09-03_final
2021-09-03 11:25:31	ga_ls8c_ard_3-2-0_111072_2021-09-03_final
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
2021-09-05 11:15:10	ga_ls8c_ard_3-2-0_109077_2021-09-05_final
2021-09-05 11:15:34	ga_ls8c_ard_3-2-0_109078_2021-09-05_final
2021-09-05 11:15:58	ga_ls8c_ard_3-2-0_109079_2021-09-05_final
2021-09-05 11:16:22	ga_ls8c_ard_3-2-0_109080_2021-09-05_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
2021-09-07 11:06:01	ga_ls8c_ard_3-2-0_107085_2021-09-07_final
2021-09-10 11:29:45	ga_ls8c_ard_3-2-0_112067_2021-09-10_final
2021-09-10 11:30:08	ga_ls8c_ard_3-2-0_112068_2021-09-10_final
2021-09-10 11:30:32	ga_ls8c_ard_3-2-0_112069_2021-09-10_final
2021-09-12 11:19:47	ga_ls8c_ard_3-2-0_110073_2021-09-12_final
2021-09-12 11:20:11	ga_ls8c_ard_3-2-0_110074_2021-09-12_final
2021-09-12 11:20:35	ga_ls8c_ard_3-2-0_110075_2021-09-12_final
2021-09-12 11:20:59	ga_ls8c_ard_3-2-0_110076_2021-09-12_final
2021-09-12 11:21:23	ga_ls8c_ard_3-2-0_110077_2021-09-12_final
2021-09-12 11:21:47	ga_ls8c_ard_3-2-0_110078_2021-09-12_final
2021-09-12 11:22:11	ga_ls8c_ard_3-2-0_110079_2021-09-12_final
2021-10-12 11:29:53	ga_ls8c_ard_3-2-0_112067_2021-10-12_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
2021-10-14 11:19:55	ga_ls8c_ard_3-2-0_110073_2021-10-14_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-10-14 11:20:43	ga_ls8c_ard_3-2-0_110075_2021-10-14_final
2021-10-14 11:21:07	ga_ls8c_ard_3-2-0_110076_2021-10-14_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
2021-10-16 11:11:10	ga_ls8c_ard_3-2-0_108082_2021-10-16_final
2021-10-16 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-10-16_final
2021-10-16 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-10-16_final
2021-10-16 11:12:21	ga_ls8c_ard_3-2-0_108085_2021-10-16_final
2021-10-28 11:29:54	ga_ls8c_ard_3-2-0_112067_2021-10-28_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
2021-11-01 11:11:10	ga_ls8c_ard_3-2-0_108082_2021-11-01_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-11-01 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-11-01_final
2021-11-01 11:12:22	ga_ls8c_ard_3-2-0_108085_2021-11-01_final
2023-10-20 11:20:02	ga_ls8c_ard_3-2-1_110074_2023-10-20_final
2023-10-20 11:20:26	ga_ls8c_ard_3-2-1_110075_2023-10-20_final
2023-10-20 11:21:14	ga_ls8c_ard_3-2-1_110077_2023-10-20_final
2023-10-20 11:21:38	ga_ls8c_ard_3-2-1_110078_2023-10-20_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