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
2019-07-08 10:14:39	ga_ls8c_ard_3-1-0_099081_2019-07-08_final
2019-07-08 10:15:02	ga_ls8c_ard_3-1-0_099082_2019-07-08_final
2019-07-08 10:15:26	ga_ls8c_ard_3-1-0_099083_2019-07-08_final
2019-07-08 10:15:50	ga_ls8c_ard_3-1-0_099084_2019-07-08_final
2019-07-08 10:16:14	ga_ls8c_ard_3-1-0_099085_2019-07-08_final
2019-09-17 10:19:35	ga_ls8c_ard_3-1-0_100077_2019-09-17_final
2019-09-17 10:19:59	ga_ls8c_ard_3-1-0_100078_2019-09-17_final
2019-09-17 10:20:23	ga_ls8c_ard_3-1-0_100079_2019-09-17_final
2019-09-17 10:20:47	ga_ls8c_ard_3-1-0_100080_2019-09-17_final
2019-09-17 10:21:11	ga_ls8c_ard_3-1-0_100081_2019-09-17_final
2019-09-17 10:21:35	ga_ls8c_ard_3-1-0_100082_2019-09-17_final
2019-11-27 10:23:48	ga_ls8c_ard_3-1-0_101072_2019-11-27_final
2019-11-27 10:24:12	ga_ls8c_ard_3-1-0_101073_2019-11-27_final
2019-11-27 10:24:36	ga_ls8c_ard_3-1-0_101074_2019-11-27_final
2019-11-27 10:25:00	ga_ls8c_ard_3-1-0_101075_2019-11-27_final
2019-11-27 10:25:24	ga_ls8c_ard_3-1-0_101076_2019-11-27_final
2019-11-27 10:25:48	ga_ls8c_ard_3-1-0_101077_2019-11-27_final
2019-11-27 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-11-27_final
2021-01-07 10:27:55	ga_ls8c_ard_3-2-0_102067_2021-01-07_final
2021-01-07 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-01-07_final
2021-01-07 10:28:42	ga_ls8c_ard_3-2-0_102069_2021-01-07_final
2021-01-07 10:29:06	ga_ls8c_ard_3-2-0_102070_2021-01-07_final
2021-01-07 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-01-07_final
2021-01-07 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-01-07_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-02-01 10:23:37	ga_ls8c_ard_3-2-0_101072_2021-02-01_final
2021-02-01 10:24:01	ga_ls8c_ard_3-2-0_101073_2021-02-01_final
2021-02-01 10:24:25	ga_ls8c_ard_3-2-0_101074_2021-02-01_final
2021-02-01 10:24:49	ga_ls8c_ard_3-2-0_101075_2021-02-01_final
2021-02-01 10:25:13	ga_ls8c_ard_3-2-0_101076_2021-02-01_final
2021-02-01 10:25:37	ga_ls8c_ard_3-2-0_101077_2021-02-01_final
2021-02-01 10:26:00	ga_ls8c_ard_3-2-0_101078_2021-02-01_final
2021-02-03 10:14:50	ga_ls8c_ard_3-2-0_099081_2021-02-03_final
2021-02-03 10:15:14	ga_ls8c_ard_3-2-0_099082_2021-02-03_final
2021-02-03 10:15:38	ga_ls8c_ard_3-2-0_099083_2021-02-03_final
2021-02-03 10:16:02	ga_ls8c_ard_3-2-0_099084_2021-02-03_final
2021-02-03 10:16:26	ga_ls8c_ard_3-2-0_099085_2021-02-03_final
2021-04-08 10:14:27	ga_ls8c_ard_3-2-0_099081_2021-04-08_final
2021-04-08 10:14:51	ga_ls8c_ard_3-2-0_099082_2021-04-08_final
2021-04-08 10:15:15	ga_ls8c_ard_3-2-0_099083_2021-04-08_final
2021-04-08 10:15:39	ga_ls8c_ard_3-2-0_099084_2021-04-08_final
2021-04-08 10:16:03	ga_ls8c_ard_3-2-0_099085_2021-04-08_final
2021-08-21 10:19:28	ga_ls8c_ard_3-2-0_100077_2021-08-21_final
2021-08-21 10:19:52	ga_ls8c_ard_3-2-0_100078_2021-08-21_final
2021-08-21 10:20:16	ga_ls8c_ard_3-2-0_100079_2021-08-21_final
2021-08-21 10:20:40	ga_ls8c_ard_3-2-0_100080_2021-08-21_final
2021-08-21 10:21:04	ga_ls8c_ard_3-2-0_100081_2021-08-21_final
2021-08-21 10:21:28	ga_ls8c_ard_3-2-0_100082_2021-08-21_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-23 10:10:19	ga_ls8c_ard_3-2-0_098085_2021-08-23_final
2021-08-23 10:10:43	ga_ls8c_ard_3-2-0_098086_2021-08-23_final
2021-08-28 10:23:41	ga_ls8c_ard_3-2-0_101072_2021-08-28_final
2021-08-28 10:24:05	ga_ls8c_ard_3-2-0_101073_2021-08-28_final
2021-08-28 10:24:29	ga_ls8c_ard_3-2-0_101074_2021-08-28_final
2021-08-28 10:24:53	ga_ls8c_ard_3-2-0_101075_2021-08-28_final
2021-08-28 10:25:17	ga_ls8c_ard_3-2-0_101076_2021-08-28_final
2021-08-28 10:25:41	ga_ls8c_ard_3-2-0_101077_2021-08-28_final
2021-08-28 10:26:05	ga_ls8c_ard_3-2-0_101078_2021-08-28_final
2021-08-30 10:14:56	ga_ls8c_ard_3-2-0_099081_2021-08-30_final
2021-08-30 10:15:20	ga_ls8c_ard_3-2-0_099082_2021-08-30_final
2021-08-30 10:15:44	ga_ls8c_ard_3-2-0_099083_2021-08-30_final
2021-08-30 10:16:08	ga_ls8c_ard_3-2-0_099084_2021-08-30_final
2021-08-30 10:16:32	ga_ls8c_ard_3-2-0_099085_2021-08-30_final
2023-02-14 10:27:57	ga_ls8c_ard_3-2-1_102067_2023-02-14_final
2023-02-14 10:28:21	ga_ls8c_ard_3-2-1_102068_2023-02-14_final
2023-02-14 10:28:45	ga_ls8c_ard_3-2-1_102069_2023-02-14_final
2023-02-14 10:29:09	ga_ls8c_ard_3-2-1_102070_2023-02-14_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-02-14 10:29:57	ga_ls8c_ard_3-2-1_102072_2023-02-14_final
2023-02-14 10:30:21	ga_ls8c_ard_3-2-1_102073_2023-02-14_final
2023-02-16 10:19:09	ga_ls8c_ard_3-2-1_100076_2023-02-16_final
2023-02-16 10:19:33	ga_ls8c_ard_3-2-1_100077_2023-02-16_final
2023-02-16 10:19:57	ga_ls8c_ard_3-2-1_100078_2023-02-16_final
2023-02-16 10:20:21	ga_ls8c_ard_3-2-1_100079_2023-02-16_final
2023-02-16 10:20:45	ga_ls8c_ard_3-2-1_100080_2023-02-16_final
2023-02-16 10:21:09	ga_ls8c_ard_3-2-1_100081_2023-02-16_final
2023-02-16 10:21:33	ga_ls8c_ard_3-2-1_100082_2023-02-16_final
2023-02-18 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-02-18_final
2023-02-18 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-02-18_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-04 10:20:08	ga_ls8c_ard_3-2-1_100079_2023-03-04_final
2023-03-04 10:20:32	ga_ls8c_ard_3-2-1_100080_2023-03-04_final
2023-03-04 10:20:56	ga_ls8c_ard_3-2-1_100081_2023-03-04_final
2023-03-04 10:21:20	ga_ls8c_ard_3-2-1_100082_2023-03-04_final
2023-03-06 10:09:45	ga_ls8c_ard_3-2-1_098084_2023-03-06_final
2023-03-06 10:10:09	ga_ls8c_ard_3-2-1_098085_2023-03-06_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-06-06 10:27:26	ga_ls8c_ard_3-2-1_102068_2023-06-06_final
2023-06-06 10:27:50	ga_ls8c_ard_3-2-1_102069_2023-06-06_final
2023-06-06 10:28:14	ga_ls8c_ard_3-2-1_102070_2023-06-06_final
2023-06-06 10:29:02	ga_ls8c_ard_3-2-1_102072_2023-06-06_final
2023-06-06 10:29:26	ga_ls8c_ard_3-2-1_102073_2023-06-06_final
2023-06-08 10:18:18	ga_ls8c_ard_3-2-1_100076_2023-06-08_final
2023-06-08 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-06-08_final
2023-06-08 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-06-08_final
2023-06-08 10:19:30	ga_ls8c_ard_3-2-1_100079_2023-06-08_final
2023-06-08 10:19:54	ga_ls8c_ard_3-2-1_100080_2023-06-08_final
2023-06-08 10:20:18	ga_ls8c_ard_3-2-1_100081_2023-06-08_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