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
2013-04-10 09:29:08	ga_ls8c_ard_3-0-0_092075_2013-04-09_final
2013-04-10 09:29:32	ga_ls8c_ard_3-0-0_092076_2013-04-09_final
2013-04-12 09:16:59	ga_ls8c_ard_3-0-0_089086_2013-04-11_final
2013-06-11 09:36:51	ga_ls8c_ard_3-0-0_093074_2013-06-11_final
2013-06-11 09:37:15	ga_ls8c_ard_3-0-0_093075_2013-06-11_final
2013-06-13 09:26:04	ga_ls8c_ard_3-0-0_091078_2013-06-12_final
2013-06-13 09:26:28	ga_ls8c_ard_3-0-0_091079_2013-06-12_final
2013-06-13 09:26:52	ga_ls8c_ard_3-0-0_091080_2013-06-12_final
2013-06-13 09:27:16	ga_ls8c_ard_3-0-0_091081_2013-06-12_final
2013-06-13 09:27:40	ga_ls8c_ard_3-0-0_091082_2013-06-12_final
2013-06-13 09:28:04	ga_ls8c_ard_3-0-0_091083_2013-06-12_final
2013-06-13 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-06-12_final
2013-06-29 09:26:02	ga_ls8c_ard_3-0-0_091078_2013-06-28_final
2013-06-29 09:26:26	ga_ls8c_ard_3-0-0_091079_2013-06-28_final
2013-06-29 09:26:50	ga_ls8c_ard_3-0-0_091080_2013-06-28_final
2013-06-29 09:27:14	ga_ls8c_ard_3-0-0_091081_2013-06-28_final
2013-07-01 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-06-30_final
2013-07-17 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-07-16_final
2013-07-17 09:18:05	ga_ls8c_ard_3-0-0_089089_2013-07-16_final
2013-07-17 09:18:29	ga_ls8c_ard_3-0-0_089090_2013-07-16_final
2013-07-20 09:40:11	ga_ls8c_ard_3-0-0_094067_2013-07-20_final
2013-10-01 09:36:43	ga_ls8c_ard_3-0-0_093074_2013-10-01_final
2013-10-01 09:37:07	ga_ls8c_ard_3-0-0_093075_2013-10-01_final
2013-10-03 09:26:22	ga_ls8c_ard_3-0-0_091079_2013-10-02_final
2013-10-03 09:26:45	ga_ls8c_ard_3-0-0_091080_2013-10-02_final
2013-10-03 09:27:09	ga_ls8c_ard_3-0-0_091081_2013-10-02_final
2013-10-28 09:21:36	ga_ls8c_ard_3-0-0_090083_2013-10-27_final
2013-10-28 09:22:00	ga_ls8c_ard_3-0-0_090084_2013-10-27_final
2013-10-28 09:23:12	ga_ls8c_ard_3-0-0_090087_2013-10-27_final
2013-10-28 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-10-27_final
2013-11-06 09:17:51	ga_ls8c_ard_3-0-0_089089_2013-11-05_final
2013-11-06 09:18:15	ga_ls8c_ard_3-0-0_089090_2013-11-05_final
2013-11-09 09:39:58	ga_ls8c_ard_3-0-0_094067_2013-11-09_final
2013-11-11 09:30:48	ga_ls8c_ard_3-0-0_092075_2013-11-11_final
2013-11-11 09:31:12	ga_ls8c_ard_3-0-0_092076_2013-11-11_final
2013-11-11 09:31:35	ga_ls8c_ard_3-0-0_092077_2013-11-11_final
2013-11-11 09:31:59	ga_ls8c_ard_3-0-0_092078_2013-11-11_final
2013-11-11 09:32:23	ga_ls8c_ard_3-0-0_092079_2013-11-11_final
2013-11-11 09:32:47	ga_ls8c_ard_3-0-0_092080_2013-11-11_final
2014-01-09 09:16:11	ga_ls8c_ard_3-0-0_089086_2014-01-08_final
2014-01-09 09:17:23	ga_ls8c_ard_3-0-0_089089_2014-01-08_final
2014-01-09 09:17:47	ga_ls8c_ard_3-0-0_089090_2014-01-08_final
2014-01-12 09:39:27	ga_ls8c_ard_3-0-0_094067_2014-01-12_final
2014-01-14 09:30:14	ga_ls8c_ard_3-0-0_092075_2014-01-14_final
2014-01-14 09:30:38	ga_ls8c_ard_3-0-0_092076_2014-01-14_final
2014-01-14 09:31:02	ga_ls8c_ard_3-0-0_092077_2014-01-14_final
2014-01-14 09:31:26	ga_ls8c_ard_3-0-0_092078_2014-01-14_final
2014-01-14 09:31:50	ga_ls8c_ard_3-0-0_092079_2014-01-14_final
2014-01-14 09:32:14	ga_ls8c_ard_3-0-0_092080_2014-01-14_final
2018-02-17 09:33:26	ga_ls8c_ard_3-0-0_093071_2018-02-17_final
2018-02-17 09:33:50	ga_ls8c_ard_3-0-0_093072_2018-02-17_final
2018-02-17 09:34:14	ga_ls8c_ard_3-0-0_093073_2018-02-17_final
2018-02-17 09:34:38	ga_ls8c_ard_3-0-0_093074_2018-02-17_final
2018-02-17 09:35:02	ga_ls8c_ard_3-0-0_093075_2018-02-17_final
2018-05-03 09:18:38	ga_ls8c_ard_3-0-0_090082_2018-05-02_final
2018-05-03 09:19:02	ga_ls8c_ard_3-0-0_090083_2018-05-02_final
2018-05-03 09:19:26	ga_ls8c_ard_3-0-0_090084_2018-05-02_final
2018-05-03 09:19:50	ga_ls8c_ard_3-0-0_090085_2018-05-02_final
2018-05-03 09:20:14	ga_ls8c_ard_3-0-0_090086_2018-05-02_final
2018-05-03 09:20:38	ga_ls8c_ard_3-0-0_090087_2018-05-02_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-08-30 09:23:37	ga_ls8c_ard_3-0-0_091078_2018-08-29_final
2018-08-30 09:24:01	ga_ls8c_ard_3-0-0_091079_2018-08-29_final
2018-08-30 09:24:25	ga_ls8c_ard_3-0-0_091080_2018-08-29_final
2018-08-30 09:24:49	ga_ls8c_ard_3-0-0_091081_2018-08-29_final
2018-08-30 09:25:13	ga_ls8c_ard_3-0-0_091082_2018-08-29_final
2018-08-30 09:25:37	ga_ls8c_ard_3-0-0_091083_2018-08-29_final
2018-08-30 09:26:01	ga_ls8c_ard_3-0-0_091084_2018-08-29_final
2018-09-01 09:14:28	ga_ls8c_ard_3-0-0_089086_2018-08-31_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2018-09-01 09:15:16	ga_ls8c_ard_3-0-0_089088_2018-08-31_final
2018-09-01 09:15:40	ga_ls8c_ard_3-0-0_089089_2018-08-31_final
2018-09-01 09:16:04	ga_ls8c_ard_3-0-0_089090_2018-08-31_final
2018-09-24 09:19:10	ga_ls8c_ard_3-0-0_090082_2018-09-23_final
2018-09-24 09:19:34	ga_ls8c_ard_3-0-0_090083_2018-09-23_final
2018-09-24 09:19:58	ga_ls8c_ard_3-0-0_090084_2018-09-23_final
2018-09-24 09:20:22	ga_ls8c_ard_3-0-0_090085_2018-09-23_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-10-10 09:19:18	ga_ls8c_ard_3-0-0_090082_2018-10-09_final
2018-10-10 09:19:42	ga_ls8c_ard_3-0-0_090083_2018-10-09_final
2018-10-10 09:20:06	ga_ls8c_ard_3-0-0_090084_2018-10-09_final
2018-10-10 09:20:30	ga_ls8c_ard_3-0-0_090085_2018-10-09_final
2018-10-10 09:20:54	ga_ls8c_ard_3-0-0_090086_2018-10-09_final
2018-10-10 09:21:18	ga_ls8c_ard_3-0-0_090087_2018-10-09_final
2018-10-10 09:21:42	ga_ls8c_ard_3-0-0_090088_2018-10-09_final
2018-10-17 09:23:56	ga_ls8c_ard_3-0-0_091078_2018-10-16_final
2018-10-17 09:24:19	ga_ls8c_ard_3-0-0_091079_2018-10-16_final
2018-10-17 09:24:43	ga_ls8c_ard_3-0-0_091080_2018-10-16_final
2018-10-17 09:25:07	ga_ls8c_ard_3-0-0_091081_2018-10-16_final
2018-10-17 09:25:31	ga_ls8c_ard_3-0-0_091082_2018-10-16_final
2018-10-17 09:25:55	ga_ls8c_ard_3-0-0_091083_2018-10-16_final
2018-10-17 09:26:19	ga_ls8c_ard_3-0-0_091084_2018-10-16_final
2018-10-26 09:19:23	ga_ls8c_ard_3-0-0_090082_2018-10-25_final
2018-10-26 09:19:47	ga_ls8c_ard_3-0-0_090083_2018-10-25_final
2018-10-26 09:20:11	ga_ls8c_ard_3-0-0_090084_2018-10-25_final
2018-10-26 09:20:35	ga_ls8c_ard_3-0-0_090085_2018-10-25_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-26 09:21:23	ga_ls8c_ard_3-0-0_090087_2018-10-25_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