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
2017-03-23 11:29:06	ga_ls8c_ard_3-0-0_112067_2017-03-23_final
2017-03-23 11:29:30	ga_ls8c_ard_3-0-0_112068_2017-03-23_final
2017-03-23 11:29:54	ga_ls8c_ard_3-0-0_112069_2017-03-23_final
2017-03-23 11:30:18	ga_ls8c_ard_3-0-0_112070_2017-03-23_final
2017-04-17 11:23:32	ga_ls8c_ard_3-0-0_111069_2017-04-17_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-04-17 11:24:19	ga_ls8c_ard_3-0-0_111071_2017-04-17_final
2017-04-17 11:24:43	ga_ls8c_ard_3-0-0_111072_2017-04-17_final
2017-04-17 11:25:07	ga_ls8c_ard_3-0-0_111073_2017-04-17_final
2017-04-17 11:25:31	ga_ls8c_ard_3-0-0_111074_2017-04-17_final
2017-05-05 11:14:37	ga_ls8c_ard_3-0-0_109078_2017-05-05_final
2017-05-05 11:15:01	ga_ls8c_ard_3-0-0_109079_2017-05-05_final
2017-05-05 11:15:25	ga_ls8c_ard_3-0-0_109080_2017-05-05_final
2017-05-05 11:15:49	ga_ls8c_ard_3-0-0_109081_2017-05-05_final
2017-05-05 11:16:13	ga_ls8c_ard_3-0-0_109082_2017-05-05_final
2017-05-05 11:16:37	ga_ls8c_ard_3-0-0_109083_2017-05-05_final
2017-06-11 11:29:09	ga_ls8c_ard_3-0-0_112067_2017-06-11_final
2017-06-11 11:29:33	ga_ls8c_ard_3-0-0_112068_2017-06-11_final
2017-06-11 11:29:57	ga_ls8c_ard_3-0-0_112069_2017-06-11_final
2017-06-20 11:23:49	ga_ls8c_ard_3-0-0_111069_2017-06-20_final
2017-06-20 11:24:13	ga_ls8c_ard_3-0-0_111070_2017-06-20_final
2017-06-20 11:24:37	ga_ls8c_ard_3-0-0_111071_2017-06-20_final
2017-07-13 11:29:17	ga_ls8c_ard_3-0-0_112067_2017-07-13_final
2017-07-13 11:29:41	ga_ls8c_ard_3-0-0_112068_2017-07-13_final
2017-07-13 11:30:05	ga_ls8c_ard_3-0-0_112069_2017-07-13_final
2017-08-30 11:29:34	ga_ls8c_ard_3-0-0_112067_2017-08-30_final
2017-08-30 11:29:58	ga_ls8c_ard_3-0-0_112068_2017-08-30_final
2017-08-30 11:30:22	ga_ls8c_ard_3-0-0_112069_2017-08-30_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-02-22 11:29:38	ga_ls8c_ard_3-0-0_112068_2018-02-22_final
2018-02-22 11:30:02	ga_ls8c_ard_3-0-0_112069_2018-02-22_final
2018-02-22 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-02-22_final
2018-02-24 11:19:15	ga_ls8c_ard_3-0-0_110073_2018-02-24_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-02-24 11:20:03	ga_ls8c_ard_3-0-0_110075_2018-02-24_final
2018-02-24 11:20:27	ga_ls8c_ard_3-0-0_110076_2018-02-24_final
2018-02-24 11:20:51	ga_ls8c_ard_3-0-0_110077_2018-02-24_final
2018-02-24 11:21:15	ga_ls8c_ard_3-0-0_110078_2018-02-24_final
2018-02-24 11:21:39	ga_ls8c_ard_3-0-0_110079_2018-02-24_final
2018-02-26 11:10:28	ga_ls8c_ard_3-0-0_108082_2018-02-26_final
2018-02-26 11:10:52	ga_ls8c_ard_3-0-0_108083_2018-02-26_final
2018-02-26 11:11:16	ga_ls8c_ard_3-0-0_108084_2018-02-26_final
2018-02-26 11:11:40	ga_ls8c_ard_3-0-0_108085_2018-02-26_final
2018-04-04 11:23:31	ga_ls8c_ard_3-0-0_111069_2018-04-04_final
2018-04-04 11:23:55	ga_ls8c_ard_3-0-0_111070_2018-04-04_final
2018-04-04 11:24:19	ga_ls8c_ard_3-0-0_111071_2018-04-04_final
2018-04-04 11:24:43	ga_ls8c_ard_3-0-0_111072_2018-04-04_final
2018-04-04 11:25:07	ga_ls8c_ard_3-0-0_111073_2018-04-04_final
2018-04-04 11:25:30	ga_ls8c_ard_3-0-0_111074_2018-04-04_final
2018-06-23 11:23:04	ga_ls8c_ard_3-0-0_111069_2018-06-23_final
2018-06-23 11:23:28	ga_ls8c_ard_3-0-0_111070_2018-06-23_final
2018-06-23 11:23:52	ga_ls8c_ard_3-0-0_111071_2018-06-23_final
2018-06-23 11:24:16	ga_ls8c_ard_3-0-0_111072_2018-06-23_final
2018-06-23 11:24:40	ga_ls8c_ard_3-0-0_111073_2018-06-23_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-07-02 11:18:34	ga_ls8c_ard_3-0-0_110073_2018-07-02_final
2018-07-02 11:18:58	ga_ls8c_ard_3-0-0_110074_2018-07-02_final
2018-07-02 11:19:22	ga_ls8c_ard_3-0-0_110075_2018-07-02_final
2018-07-02 11:19:46	ga_ls8c_ard_3-0-0_110076_2018-07-02_final
2018-07-02 11:20:10	ga_ls8c_ard_3-0-0_110077_2018-07-02_final
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-07-02 11:20:58	ga_ls8c_ard_3-0-0_110079_2018-07-02_final
2018-07-04 11:09:49	ga_ls8c_ard_3-0-0_108082_2018-07-04_final
2018-07-04 11:10:13	ga_ls8c_ard_3-0-0_108083_2018-07-04_final
2018-07-04 11:10:37	ga_ls8c_ard_3-0-0_108084_2018-07-04_final
2018-07-04 11:11:01	ga_ls8c_ard_3-0-0_108085_2018-07-04_final
2018-07-18 11:18:42	ga_ls8c_ard_3-0-0_110073_2018-07-18_final
2018-07-18 11:19:06	ga_ls8c_ard_3-0-0_110074_2018-07-18_final
2018-07-18 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-07-18_final
2018-07-18 11:19:53	ga_ls8c_ard_3-0-0_110076_2018-07-18_final
2018-07-18 11:20:17	ga_ls8c_ard_3-0-0_110077_2018-07-18_final
2018-07-18 11:20:41	ga_ls8c_ard_3-0-0_110078_2018-07-18_final
2018-07-18 11:21:05	ga_ls8c_ard_3-0-0_110079_2018-07-18_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-06 11:26:20	ga_ls8c_ard_3-2-0_111074_2021-01-06_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-01-31 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-01-31_final
2021-01-31 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-01-31_final
2021-01-31 11:20:50	ga_ls8c_ard_3-2-0_110076_2021-01-31_final
2021-01-31 11:21:14	ga_ls8c_ard_3-2-0_110077_2021-01-31_final
2021-01-31 11:21:38	ga_ls8c_ard_3-2-0_110078_2021-01-31_final
2021-01-31 11:22:02	ga_ls8c_ard_3-2-0_110079_2021-01-31_final
2021-02-02 11:10:52	ga_ls8c_ard_3-2-0_108082_2021-02-02_final
2021-02-02 11:11:16	ga_ls8c_ard_3-2-0_108083_2021-02-02_final
2021-02-02 11:11:40	ga_ls8c_ard_3-2-0_108084_2021-02-02_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-04-07 11:10:29	ga_ls8c_ard_3-2-0_108082_2021-04-07_final
2021-04-07 11:10:53	ga_ls8c_ard_3-2-0_108083_2021-04-07_final
2021-04-07 11:11:17	ga_ls8c_ard_3-2-0_108084_2021-04-07_final
2021-04-07 11:11:41	ga_ls8c_ard_3-2-0_108085_2021-04-07_final
2021-05-18 11:05:22	ga_ls8c_ard_3-2-0_107085_2021-05-18_final
2021-05-30 11:23:49	ga_ls8c_ard_3-2-0_111069_2021-05-30_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-05-30 11:24:37	ga_ls8c_ard_3-2-0_111071_2021-05-30_final
2021-05-30 11:25:01	ga_ls8c_ard_3-2-0_111072_2021-05-30_final
2021-05-30 11:25:25	ga_ls8c_ard_3-2-0_111073_2021-05-30_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