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
2015-02-17 10:22:54	ga_ls8c_ard_3-0-0_101071_2015-02-17_final
2015-02-17 10:23:18	ga_ls8c_ard_3-0-0_101072_2015-02-17_final
2015-02-17 10:23:42	ga_ls8c_ard_3-0-0_101073_2015-02-17_final
2015-02-17 10:24:06	ga_ls8c_ard_3-0-0_101074_2015-02-17_final
2015-02-17 10:24:29	ga_ls8c_ard_3-0-0_101075_2015-02-17_final
2015-02-17 10:24:53	ga_ls8c_ard_3-0-0_101076_2015-02-17_final
2015-02-17 10:25:17	ga_ls8c_ard_3-0-0_101077_2015-02-17_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-02-19 10:14:32	ga_ls8c_ard_3-0-0_099081_2015-02-19_final
2015-02-19 10:14:56	ga_ls8c_ard_3-0-0_099082_2015-02-19_final
2015-02-19 10:15:20	ga_ls8c_ard_3-0-0_099083_2015-02-19_final
2015-02-19 10:15:44	ga_ls8c_ard_3-0-0_099084_2015-02-19_final
2015-02-28 10:09:31	ga_ls8c_ard_3-0-0_098084_2015-02-28_final
2015-02-28 10:09:55	ga_ls8c_ard_3-0-0_098085_2015-02-28_final
2017-03-21 10:09:23	ga_ls8c_ard_3-0-0_098084_2017-03-21_final
2017-03-21 10:09:47	ga_ls8c_ard_3-0-0_098085_2017-03-21_final
2017-03-24 10:33:28	ga_ls8c_ard_3-0-0_103067_2017-03-24_final
2017-04-18 10:27:06	ga_ls8c_ard_3-0-0_102067_2017-04-18_final
2017-04-18 10:27:30	ga_ls8c_ard_3-0-0_102068_2017-04-18_final
2017-04-18 10:27:54	ga_ls8c_ard_3-0-0_102069_2017-04-18_final
2017-04-18 10:28:18	ga_ls8c_ard_3-0-0_102070_2017-04-18_final
2017-04-18 10:28:42	ga_ls8c_ard_3-0-0_102071_2017-04-18_final
2017-04-18 10:29:05	ga_ls8c_ard_3-0-0_102072_2017-04-18_final
2017-04-25 10:33:12	ga_ls8c_ard_3-0-0_103067_2017-04-25_final
2017-04-27 10:22:24	ga_ls8c_ard_3-0-0_101071_2017-04-27_final
2017-04-27 10:22:48	ga_ls8c_ard_3-0-0_101072_2017-04-27_final
2017-04-27 10:23:12	ga_ls8c_ard_3-0-0_101073_2017-04-27_final
2017-04-27 10:23:36	ga_ls8c_ard_3-0-0_101074_2017-04-27_final
2017-04-27 10:24:00	ga_ls8c_ard_3-0-0_101075_2017-04-27_final
2017-04-27 10:24:24	ga_ls8c_ard_3-0-0_101076_2017-04-27_final
2017-04-27 10:24:48	ga_ls8c_ard_3-0-0_101077_2017-04-27_final
2017-07-18 10:14:10	ga_ls8c_ard_3-0-0_099080_2017-07-18_final
2017-07-18 10:14:34	ga_ls8c_ard_3-0-0_099081_2017-07-18_final
2017-07-18 10:14:58	ga_ls8c_ard_3-0-0_099082_2017-07-18_final
2017-07-18 10:15:22	ga_ls8c_ard_3-0-0_099083_2017-07-18_final
2017-07-18 10:15:46	ga_ls8c_ard_3-0-0_099084_2017-07-18_final
2017-07-18 10:16:10	ga_ls8c_ard_3-0-0_099085_2017-07-18_final
2017-08-08 10:27:41	ga_ls8c_ard_3-0-0_102067_2017-08-08_final
2017-08-08 10:28:05	ga_ls8c_ard_3-0-0_102068_2017-08-08_final
2017-08-08 10:28:29	ga_ls8c_ard_3-0-0_102069_2017-08-08_final
2017-08-08 10:28:53	ga_ls8c_ard_3-0-0_102070_2017-08-08_final
2017-08-08 10:29:16	ga_ls8c_ard_3-0-0_102071_2017-08-08_final
2017-08-08 10:29:40	ga_ls8c_ard_3-0-0_102072_2017-08-08_final
2017-08-10 10:18:31	ga_ls8c_ard_3-0-0_100075_2017-08-10_final
2017-08-10 10:18:55	ga_ls8c_ard_3-0-0_100076_2017-08-10_final
2017-08-10 10:19:19	ga_ls8c_ard_3-0-0_100077_2017-08-10_final
2017-08-10 10:19:43	ga_ls8c_ard_3-0-0_100078_2017-08-10_final
2017-08-10 10:20:07	ga_ls8c_ard_3-0-0_100079_2017-08-10_final
2017-08-10 10:20:31	ga_ls8c_ard_3-0-0_100080_2017-08-10_final
2017-08-10 10:20:55	ga_ls8c_ard_3-0-0_100081_2017-08-10_final
2017-08-15 10:33:54	ga_ls8c_ard_3-0-0_103067_2017-08-15_final
2017-08-17 10:23:08	ga_ls8c_ard_3-0-0_101071_2017-08-17_final
2017-08-17 10:23:32	ga_ls8c_ard_3-1-0_101072_2017-08-17_final
2017-08-17 10:23:56	ga_ls8c_ard_3-0-0_101073_2017-08-17_final
2017-08-17 10:24:20	ga_ls8c_ard_3-0-0_101074_2017-08-17_final
2017-08-17 10:24:44	ga_ls8c_ard_3-0-0_101075_2017-08-17_final
2017-08-17 10:25:08	ga_ls8c_ard_3-0-0_101076_2017-08-17_final
2017-08-24 10:27:45	ga_ls8c_ard_3-0-0_102067_2017-08-24_final
2017-08-24 10:28:09	ga_ls8c_ard_3-0-0_102068_2017-08-24_final
2017-08-24 10:28:33	ga_ls8c_ard_3-0-0_102069_2017-08-24_final
2017-08-24 10:28:57	ga_ls8c_ard_3-0-0_102070_2017-08-24_final
2017-08-24 10:29:21	ga_ls8c_ard_3-0-0_102071_2017-08-24_final
2017-08-24 10:29:45	ga_ls8c_ard_3-0-0_102072_2017-08-24_final
2017-08-26 10:18:35	ga_ls8c_ard_3-0-0_100075_2017-08-26_final
2017-08-26 10:18:59	ga_ls8c_ard_3-0-0_100076_2017-08-26_final
2017-08-26 10:19:23	ga_ls8c_ard_3-0-0_100077_2017-08-26_final
2017-08-26 10:19:47	ga_ls8c_ard_3-0-0_100078_2017-08-26_final
2017-08-26 10:20:11	ga_ls8c_ard_3-0-0_100079_2017-08-26_final
2017-08-26 10:20:35	ga_ls8c_ard_3-0-0_100080_2017-08-26_final
2017-08-26 10:20:59	ga_ls8c_ard_3-0-0_100081_2017-08-26_final
2023-03-29 10:14:08	ga_ls8c_ard_3-2-1_099080_2023-03-29_final
2023-03-29 10:14:32	ga_ls8c_ard_3-2-1_099081_2023-03-29_final
2023-03-29 10:14:55	ga_ls8c_ard_3-2-1_099082_2023-03-29_final
2023-03-29 10:15:19	ga_ls8c_ard_3-2-1_099083_2023-03-29_final
2023-03-29 10:15:43	ga_ls8c_ard_3-2-1_099084_2023-03-29_final
2023-03-29 10:16:07	ga_ls8c_ard_3-2-1_099085_2023-03-29_final
2023-04-03 10:27:25	ga_ls8c_ard_3-2-1_102067_2023-04-03_final
2023-04-03 10:27:49	ga_ls8c_ard_3-2-1_102068_2023-04-03_final
2023-04-03 10:28:13	ga_ls8c_ard_3-2-1_102069_2023-04-03_final
2023-04-03 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-04-03_final
2023-04-03 10:29:00	ga_ls8c_ard_3-2-1_102071_2023-04-03_final
2023-04-03 10:29:24	ga_ls8c_ard_3-2-1_102072_2023-04-03_final
2023-04-05 10:18:36	ga_ls8c_ard_3-2-1_100076_2023-04-05_final
2023-04-05 10:19:00	ga_ls8c_ard_3-2-1_100077_2023-04-05_final
2023-04-05 10:19:24	ga_ls8c_ard_3-2-1_100078_2023-04-05_final
2023-04-05 10:19:48	ga_ls8c_ard_3-2-1_100079_2023-04-05_final
2023-04-05 10:20:12	ga_ls8c_ard_3-2-1_100080_2023-04-05_final
2023-04-05 10:20:36	ga_ls8c_ard_3-2-1_100081_2023-04-05_final
2023-04-12 10:22:39	ga_ls8c_ard_3-2-1_101071_2023-04-12_final
2023-04-12 10:23:03	ga_ls8c_ard_3-2-1_101072_2023-04-12_final
2023-04-12 10:23:27	ga_ls8c_ard_3-2-1_101073_2023-04-12_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-04-12 10:24:15	ga_ls8c_ard_3-2-1_101075_2023-04-12_final
2023-04-12 10:24:38	ga_ls8c_ard_3-2-1_101076_2023-04-12_final
2023-04-12 10:25:02	ga_ls8c_ard_3-2-1_101077_2023-04-12_final
2023-04-21 10:18:25	ga_ls8c_ard_3-2-1_100076_2023-04-21_final
2023-04-21 10:18:49	ga_ls8c_ard_3-2-1_100077_2023-04-21_final
2023-04-21 10:19:13	ga_ls8c_ard_3-2-1_100078_2023-04-21_final
2023-04-21 10:19:36	ga_ls8c_ard_3-2-1_100079_2023-04-21_final
2023-04-21 10:20:00	ga_ls8c_ard_3-2-1_100080_2023-04-21_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