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
2015-01-18 10:15:31	ga_ls8c_ard_3-0-0_099083_2015-01-18_final
2015-01-18 10:15:55	ga_ls8c_ard_3-0-0_099084_2015-01-18_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
2015-02-17 10:25:41	ga_ls8c_ard_3-0-0_101078_2015-02-17_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
2015-03-14 10:19:42	ga_ls8c_ard_3-0-0_100079_2015-03-14_final
2015-03-14 10:20:06	ga_ls8c_ard_3-0-0_100080_2015-03-14_final
2015-03-14 10:20:30	ga_ls8c_ard_3-0-0_100081_2015-03-14_final
2015-03-14 10:20:53	ga_ls8c_ard_3-0-0_100082_2015-03-14_final
2015-03-14 10:21:17	ga_ls8c_ard_3-0-0_100083_2015-03-14_final
2015-03-14 10:21:41	ga_ls8c_ard_3-0-0_100084_2015-03-14_final
2015-03-30 10:19:33	ga_ls8c_ard_3-0-0_100079_2015-03-30_final
2015-03-30 10:19:57	ga_ls8c_ard_3-0-0_100080_2015-03-30_final
2015-03-30 10:20:21	ga_ls8c_ard_3-0-0_100081_2015-03-30_final
2015-03-30 10:20:45	ga_ls8c_ard_3-0-0_100082_2015-03-30_final
2015-03-30 10:21:09	ga_ls8c_ard_3-0-0_100083_2015-03-30_final
2015-03-30 10:21:33	ga_ls8c_ard_3-0-0_100084_2015-03-30_final
2015-04-13 10:28:15	ga_ls8c_ard_3-0-0_102070_2015-04-13_final
2015-04-13 10:28:39	ga_ls8c_ard_3-0-0_102071_2015-04-13_final
2015-04-13 10:29:03	ga_ls8c_ard_3-0-0_102072_2015-04-13_final
2015-04-13 10:29:27	ga_ls8c_ard_3-0-0_102073_2015-04-13_final
2015-04-13 10:29:51	ga_ls8c_ard_3-0-0_102074_2015-04-13_final
2015-04-13 10:30:15	ga_ls8c_ard_3-0-0_102075_2015-04-13_final
2015-04-24 10:14:27	ga_ls8c_ard_3-0-0_099082_2015-04-24_final
2015-04-24 10:14:51	ga_ls8c_ard_3-0-0_099083_2015-04-24_final
2015-04-24 10:15:15	ga_ls8c_ard_3-0-0_099084_2015-04-24_final
2015-04-24 10:15:39	ga_ls8c_ard_3-0-0_099085_2015-04-24_final
2015-04-29 10:27:44	ga_ls8c_ard_3-0-0_102069_2015-04-29_final
2015-04-29 10:28:08	ga_ls8c_ard_3-0-0_102070_2015-04-29_final
2015-04-29 10:28:32	ga_ls8c_ard_3-0-0_102071_2015-04-29_final
2015-04-29 10:28:56	ga_ls8c_ard_3-0-0_102072_2015-04-29_final
2015-04-29 10:29:20	ga_ls8c_ard_3-0-0_102073_2015-04-29_final
2015-04-29 10:29:44	ga_ls8c_ard_3-0-0_102074_2015-04-29_final
2015-04-29 10:30:08	ga_ls8c_ard_3-0-0_102075_2015-04-29_final
2015-05-15 10:27:52	ga_ls8c_ard_3-0-0_102070_2015-05-15_final
2015-05-15 10:28:16	ga_ls8c_ard_3-0-0_102071_2015-05-15_final
2015-05-15 10:28:40	ga_ls8c_ard_3-0-0_102072_2015-05-15_final
2015-05-15 10:29:04	ga_ls8c_ard_3-0-0_102073_2015-05-15_final
2015-05-15 10:29:28	ga_ls8c_ard_3-0-0_102074_2015-05-15_final
2015-05-15 10:29:52	ga_ls8c_ard_3-0-0_102075_2015-05-15_final
2015-06-11 10:14:22	ga_ls8c_ard_3-0-0_099082_2015-06-11_final
2015-06-11 10:14:46	ga_ls8c_ard_3-0-0_099083_2015-06-11_final
2015-06-11 10:15:10	ga_ls8c_ard_3-0-0_099084_2015-06-11_final
2015-06-11 10:15:34	ga_ls8c_ard_3-0-0_099085_2015-06-11_final
2015-06-16 10:28:09	ga_ls8c_ard_3-0-0_102070_2015-06-16_final
2015-06-16 10:28:33	ga_ls8c_ard_3-0-0_102071_2015-06-16_final
2015-06-16 10:28:57	ga_ls8c_ard_3-0-0_102072_2015-06-16_final
2015-06-16 10:29:21	ga_ls8c_ard_3-0-0_102073_2015-06-16_final
2015-06-16 10:29:45	ga_ls8c_ard_3-0-0_102074_2015-06-16_final
2015-06-16 10:30:09	ga_ls8c_ard_3-0-0_102075_2015-06-16_final
2019-08-07 10:24:22	ga_ls8c_ard_3-1-0_101074_2019-08-07_final
2019-08-07 10:24:46	ga_ls8c_ard_3-1-0_101075_2019-08-07_final
2019-08-07 10:25:10	ga_ls8c_ard_3-1-0_101076_2019-08-07_final
2019-08-07 10:25:34	ga_ls8c_ard_3-1-0_101077_2019-08-07_final
2019-08-07 10:25:58	ga_ls8c_ard_3-1-0_101078_2019-08-07_final
2019-08-07 10:26:22	ga_ls8c_ard_3-1-0_101079_2019-08-07_final
2019-08-07 10:26:46	ga_ls8c_ard_3-1-0_101080_2019-08-07_final
2019-08-09 10:15:13	ga_ls8c_ard_3-1-0_099082_2019-08-09_final
2019-08-09 10:15:37	ga_ls8c_ard_3-1-0_099083_2019-08-09_final
2019-08-09 10:16:01	ga_ls8c_ard_3-1-0_099084_2019-08-09_final
2019-08-09 10:16:25	ga_ls8c_ard_3-1-0_099085_2019-08-09_final
2019-10-12 10:15:30	ga_ls8c_ard_3-1-0_099082_2019-10-12_final
2019-10-12 10:15:54	ga_ls8c_ard_3-1-0_099083_2019-10-12_final
2019-10-12 10:16:18	ga_ls8c_ard_3-1-0_099084_2019-10-12_final
2019-10-12 10:16:42	ga_ls8c_ard_3-1-0_099085_2019-10-12_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
2021-01-07 10:30:42	ga_ls8c_ard_3-2-0_102074_2021-01-07_final
2021-01-07 10:31:06	ga_ls8c_ard_3-2-0_102075_2021-01-07_final
2021-03-07 10:15:27	ga_ls8c_ard_3-2-0_099083_2021-03-07_final
2021-03-07 10:15:51	ga_ls8c_ard_3-2-0_099084_2021-03-07_final
2021-03-07 10:16:15	ga_ls8c_ard_3-2-0_099085_2021-03-07_final
2021-03-12 10:28:45	ga_ls8c_ard_3-2-0_102070_2021-03-12_final
2021-03-12 10:29:09	ga_ls8c_ard_3-2-0_102071_2021-03-12_final
2021-03-12 10:29:33	ga_ls8c_ard_3-2-0_102072_2021-03-12_final
2021-03-12 10:29:57	ga_ls8c_ard_3-2-0_102073_2021-03-12_final
2021-03-12 10:30:21	ga_ls8c_ard_3-2-0_102074_2021-03-12_final
2021-03-12 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-03-12_final
2021-03-19 10:33:40	ga_ls8c_ard_3-2-0_103067_2021-03-19_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-03-19 10:34:28	ga_ls8c_ard_3-2-0_103069_2021-03-19_final
2021-03-19 10:34:52	ga_ls8c_ard_3-2-0_103070_2021-03-19_final
2021-03-28 10:28:40	ga_ls8c_ard_3-2-0_102070_2021-03-28_final
2021-03-28 10:29:03	ga_ls8c_ard_3-2-0_102071_2021-03-28_final
2021-03-28 10:29:27	ga_ls8c_ard_3-2-0_102072_2021-03-28_final
2021-03-28 10:29:51	ga_ls8c_ard_3-2-0_102073_2021-03-28_final
2021-03-28 10:30:15	ga_ls8c_ard_3-2-0_102074_2021-03-28_final
2021-03-28 10:30:39	ga_ls8c_ard_3-2-0_102075_2021-03-28_final
2021-03-30 10:19:53	ga_ls8c_ard_3-2-0_100079_2021-03-30_final
2021-03-30 10:20:17	ga_ls8c_ard_3-2-0_100080_2021-03-30_final
2021-03-30 10:20:41	ga_ls8c_ard_3-2-0_100081_2021-03-30_final
2021-03-30 10:21:05	ga_ls8c_ard_3-2-0_100082_2021-03-30_final
2021-03-30 10:21:29	ga_ls8c_ard_3-2-0_100083_2021-03-30_final
2021-03-30 10:21:53	ga_ls8c_ard_3-2-0_100084_2021-03-30_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