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
2016-02-11 10:27:39	ga_ls8c_ard_3-0-0_102067_2016-02-11_final
2016-02-11 10:28:03	ga_ls8c_ard_3-0-0_102068_2016-02-11_final
2016-02-11 10:28:27	ga_ls8c_ard_3-0-0_102069_2016-02-11_final
2016-02-11 10:28:51	ga_ls8c_ard_3-0-0_102070_2016-02-11_final
2016-02-11 10:29:15	ga_ls8c_ard_3-0-0_102071_2016-02-11_final
2016-02-11 10:29:39	ga_ls8c_ard_3-0-0_102072_2016-02-11_final
2016-02-13 10:18:28	ga_ls8c_ard_3-0-0_100075_2016-02-13_final
2016-02-13 10:18:52	ga_ls8c_ard_3-0-0_100076_2016-02-13_final
2016-02-13 10:19:15	ga_ls8c_ard_3-0-0_100077_2016-02-13_final
2016-02-13 10:19:39	ga_ls8c_ard_3-0-0_100078_2016-02-13_final
2016-02-13 10:20:03	ga_ls8c_ard_3-0-0_100079_2016-02-13_final
2016-02-13 10:20:27	ga_ls8c_ard_3-0-0_100080_2016-02-13_final
2016-02-13 10:20:51	ga_ls8c_ard_3-0-0_100081_2016-02-13_final
2016-04-15 10:27:15	ga_ls8c_ard_3-0-0_102067_2016-04-15_final
2016-04-15 10:27:39	ga_ls8c_ard_3-0-0_102068_2016-04-15_final
2016-04-15 10:28:03	ga_ls8c_ard_3-0-0_102069_2016-04-15_final
2016-04-15 10:28:27	ga_ls8c_ard_3-0-0_102070_2016-04-15_final
2016-04-15 10:28:51	ga_ls8c_ard_3-0-0_102071_2016-04-15_final
2016-04-15 10:29:15	ga_ls8c_ard_3-0-0_102072_2016-04-15_final
2016-04-26 10:13:50	ga_ls8c_ard_3-0-0_099080_2016-04-26_final
2016-04-26 10:14:14	ga_ls8c_ard_3-0-0_099081_2016-04-26_final
2016-04-26 10:14:38	ga_ls8c_ard_3-0-0_099082_2016-04-26_final
2016-04-26 10:15:02	ga_ls8c_ard_3-0-0_099083_2016-04-26_final
2016-04-26 10:15:26	ga_ls8c_ard_3-0-0_099084_2016-04-26_final
2017-09-11 10:18:37	ga_ls8c_ard_3-0-0_100075_2017-09-11_final
2017-09-11 10:19:01	ga_ls8c_ard_3-0-0_100076_2017-09-11_final
2017-09-11 10:19:24	ga_ls8c_ard_3-0-0_100077_2017-09-11_final
2017-09-11 10:19:48	ga_ls8c_ard_3-0-0_100078_2017-09-11_final
2017-09-11 10:20:12	ga_ls8c_ard_3-0-0_100079_2017-09-11_final
2017-09-11 10:20:36	ga_ls8c_ard_3-0-0_100080_2017-09-11_final
2017-09-11 10:21:00	ga_ls8c_ard_3-0-0_100081_2017-09-11_final
2017-09-18 10:23:13	ga_ls8c_ard_3-0-0_101071_2017-09-18_final
2017-09-18 10:23:37	ga_ls8c_ard_3-1-0_101072_2017-09-18_final
2017-09-18 10:24:01	ga_ls8c_ard_3-0-0_101073_2017-09-18_final
2017-09-18 10:24:25	ga_ls8c_ard_3-0-0_101074_2017-09-18_final
2017-09-18 10:24:49	ga_ls8c_ard_3-0-0_101075_2017-09-18_final
2017-09-18 10:25:13	ga_ls8c_ard_3-0-0_101076_2017-09-18_final
2017-10-04 10:23:20	ga_ls8c_ard_3-0-0_101071_2017-10-04_final
2017-10-04 10:23:44	ga_ls8c_ard_3-0-0_101072_2017-10-04_final
2017-10-04 10:24:08	ga_ls8c_ard_3-0-0_101073_2017-10-04_final
2017-10-04 10:24:32	ga_ls8c_ard_3-0-0_101074_2017-10-04_final
2017-10-04 10:24:56	ga_ls8c_ard_3-0-0_101075_2017-10-04_final
2017-10-04 10:25:20	ga_ls8c_ard_3-0-0_101076_2017-10-04_final
2017-11-07 10:14:12	ga_ls8c_ard_3-0-0_099079_2017-11-07_final
2017-11-07 10:14:36	ga_ls8c_ard_3-0-0_099080_2017-11-07_final
2017-11-07 10:15:00	ga_ls8c_ard_3-0-0_099081_2017-11-07_final
2017-11-07 10:15:24	ga_ls8c_ard_3-0-0_099082_2017-11-07_final
2017-11-07 10:15:48	ga_ls8c_ard_3-0-0_099083_2017-11-07_final
2017-11-07 10:16:12	ga_ls8c_ard_3-0-0_099084_2017-11-07_final
2017-11-07 10:16:36	ga_ls8c_ard_3-0-0_099085_2017-11-07_final
2017-11-23 10:14:31	ga_ls8c_ard_3-0-0_099080_2017-11-23_final
2017-11-23 10:14:55	ga_ls8c_ard_3-0-0_099081_2017-11-23_final
2017-11-23 10:15:19	ga_ls8c_ard_3-0-0_099082_2017-11-23_final
2017-11-23 10:15:43	ga_ls8c_ard_3-0-0_099083_2017-11-23_final
2017-11-23 10:16:07	ga_ls8c_ard_3-0-0_099084_2017-11-23_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_final
2017-12-25 10:14:30	ga_ls8c_ard_3-0-0_099080_2017-12-25_final
2017-12-25 10:14:54	ga_ls8c_ard_3-0-0_099081_2017-12-25_final
2017-12-25 10:15:18	ga_ls8c_ard_3-0-0_099082_2017-12-25_final
2017-12-25 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-12-25_final
2017-12-25 10:16:06	ga_ls8c_ard_3-0-0_099084_2017-12-25_final
2017-12-25 10:16:30	ga_ls8c_ard_3-0-0_099085_2017-12-25_final
2020-01-05 10:27:53	ga_ls8c_ard_3-1-0_102067_2020-01-05_final
2020-01-05 10:28:16	ga_ls8c_ard_3-1-0_102068_2020-01-05_final
2020-01-05 10:28:40	ga_ls8c_ard_3-1-0_102069_2020-01-05_final
2020-01-05 10:29:04	ga_ls8c_ard_3-1-0_102070_2020-01-05_final
2020-01-05 10:29:28	ga_ls8c_ard_3-1-0_102071_2020-01-05_final
2020-01-05 10:29:52	ga_ls8c_ard_3-1-0_102072_2020-01-05_final
2020-01-12 10:34:02	ga_ls8c_ard_3-1-0_103067_2020-01-12_final
2020-01-14 10:23:16	ga_ls8c_ard_3-1-0_101071_2020-01-14_final
2020-01-14 10:23:40	ga_ls8c_ard_3-1-0_101072_2020-01-14_final
2020-01-14 10:24:04	ga_ls8c_ard_3-1-0_101073_2020-01-14_final
2020-01-14 10:24:28	ga_ls8c_ard_3-1-0_101074_2020-01-14_final
2020-01-14 10:24:52	ga_ls8c_ard_3-1-0_101075_2020-01-14_final
2020-01-14 10:25:16	ga_ls8c_ard_3-1-0_101076_2020-01-14_final
2020-02-17 10:14:20	ga_ls8c_ard_3-1-0_099080_2020-02-17_final
2020-02-17 10:14:44	ga_ls8c_ard_3-1-0_099081_2020-02-17_final
2020-02-17 10:15:08	ga_ls8c_ard_3-1-0_099082_2020-02-17_final
2020-02-17 10:15:32	ga_ls8c_ard_3-1-0_099083_2020-02-17_final
2020-02-17 10:15:56	ga_ls8c_ard_3-1-0_099084_2020-02-17_final
2020-02-17 10:16:20	ga_ls8c_ard_3-1-0_099085_2020-02-17_final
2020-03-16 10:33:42	ga_ls8c_ard_3-1-0_103067_2020-03-16_final
2020-03-18 10:22:55	ga_ls8c_ard_3-1-0_101071_2020-03-18_final
2020-03-18 10:23:19	ga_ls8c_ard_3-1-0_101072_2020-03-18_final
2020-03-18 10:23:43	ga_ls8c_ard_3-1-0_101073_2020-03-18_final
2020-03-18 10:24:07	ga_ls8c_ard_3-1-0_101074_2020-03-18_final
2020-03-18 10:24:31	ga_ls8c_ard_3-1-0_101075_2020-03-18_final
2020-03-18 10:24:55	ga_ls8c_ard_3-1-0_101076_2020-03-18_final
2020-05-07 10:13:43	ga_ls8c_ard_3-1-0_099080_2020-05-07_final
2020-05-07 10:14:07	ga_ls8c_ard_3-1-0_099081_2020-05-07_final
2020-05-07 10:14:31	ga_ls8c_ard_3-1-0_099082_2020-05-07_final
2020-05-07 10:14:55	ga_ls8c_ard_3-1-0_099083_2020-05-07_final
2020-05-07 10:15:19	ga_ls8c_ard_3-1-0_099084_2020-05-07_final
2020-05-07 10:15:43	ga_ls8c_ard_3-1-0_099085_2020-05-07_final
2020-05-19 10:33:17	ga_ls8c_ard_3-1-0_103067_2020-05-19_final
2020-05-21 10:22:31	ga_ls8c_ard_3-1-0_101071_2020-05-21_final
2020-05-21 10:22:55	ga_ls8c_ard_3-1-0_101072_2020-05-21_final
2020-05-21 10:23:19	ga_ls8c_ard_3-1-0_101073_2020-05-21_final
2020-05-21 10:23:43	ga_ls8c_ard_3-1-0_101074_2020-05-21_final
2020-05-21 10:24:07	ga_ls8c_ard_3-1-0_101075_2020-05-21_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