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
2013-12-04 09:35:16	ga_ls8c_ard_3-0-0_093071_2013-12-04_final
2013-12-04 09:35:40	ga_ls8c_ard_3-0-0_093072_2013-12-04_final
2013-12-04 09:36:04	ga_ls8c_ard_3-0-0_093073_2013-12-04_final
2013-12-04 09:36:28	ga_ls8c_ard_3-0-0_093074_2013-12-04_final
2013-12-04 09:36:52	ga_ls8c_ard_3-0-0_093075_2013-12-04_final
2013-12-06 09:25:42	ga_ls8c_ard_3-0-0_091078_2013-12-05_final
2013-12-06 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-12-05_final
2013-12-06 09:26:30	ga_ls8c_ard_3-0-0_091080_2013-12-05_final
2013-12-06 09:26:54	ga_ls8c_ard_3-0-0_091081_2013-12-05_final
2013-12-06 09:27:18	ga_ls8c_ard_3-0-0_091082_2013-12-05_final
2013-12-06 09:27:41	ga_ls8c_ard_3-0-0_091083_2013-12-05_final
2013-12-06 09:28:05	ga_ls8c_ard_3-0-0_091084_2013-12-05_final
2014-02-06 09:34:38	ga_ls8c_ard_3-0-0_093071_2014-02-06_final
2014-02-06 09:35:02	ga_ls8c_ard_3-0-0_093072_2014-02-06_final
2014-02-06 09:35:26	ga_ls8c_ard_3-0-0_093073_2014-02-06_final
2014-02-06 09:35:50	ga_ls8c_ard_3-0-0_093074_2014-02-06_final
2014-02-06 09:36:14	ga_ls8c_ard_3-0-0_093075_2014-02-06_final
2014-04-29 09:24:15	ga_ls8c_ard_3-0-0_091079_2014-04-28_final
2014-04-29 09:24:39	ga_ls8c_ard_3-0-0_091080_2014-04-28_final
2014-04-29 09:25:03	ga_ls8c_ard_3-0-0_091081_2014-04-28_final
2014-04-29 09:25:27	ga_ls8c_ard_3-0-0_091082_2014-04-28_final
2014-04-29 09:25:51	ga_ls8c_ard_3-0-0_091083_2014-04-28_final
2014-04-29 09:26:15	ga_ls8c_ard_3-0-0_091084_2014-04-28_final
2014-05-08 09:19:31	ga_ls8c_ard_3-0-0_090083_2014-05-07_final
2014-05-08 09:19:55	ga_ls8c_ard_3-0-0_090084_2014-05-07_final
2014-05-08 09:20:18	ga_ls8c_ard_3-0-0_090085_2014-05-07_final
2014-05-08 09:20:42	ga_ls8c_ard_3-0-0_090086_2014-05-07_final
2014-05-08 09:21:06	ga_ls8c_ard_3-0-0_090087_2014-05-07_final
2014-05-08 09:21:30	ga_ls8c_ard_3-0-0_090088_2014-05-07_final
2015-07-03 09:33:04	ga_ls8c_ard_3-0-0_093071_2015-07-03_final
2015-07-03 09:33:27	ga_ls8c_ard_3-0-0_093072_2015-07-03_final
2015-07-03 09:33:51	ga_ls8c_ard_3-0-0_093073_2015-07-03_final
2015-07-03 09:34:15	ga_ls8c_ard_3-0-0_093074_2015-07-03_final
2015-07-03 09:34:39	ga_ls8c_ard_3-0-0_093075_2015-07-03_final
2015-07-05 09:23:31	ga_ls8c_ard_3-0-0_091078_2015-07-04_final
2015-07-05 09:23:55	ga_ls8c_ard_3-0-0_091079_2015-07-04_final
2015-07-05 09:24:19	ga_ls8c_ard_3-0-0_091080_2015-07-04_final
2015-07-05 09:24:43	ga_ls8c_ard_3-0-0_091081_2015-07-04_final
2015-07-05 09:25:07	ga_ls8c_ard_3-0-0_091082_2015-07-04_final
2015-07-05 09:25:31	ga_ls8c_ard_3-0-0_091083_2015-07-04_final
2015-07-05 09:25:55	ga_ls8c_ard_3-0-0_091084_2015-07-04_final
2015-07-30 09:19:06	ga_ls8c_ard_3-0-0_090082_2015-07-29_final
2015-07-30 09:19:30	ga_ls8c_ard_3-0-0_090083_2015-07-29_final
2015-07-30 09:19:54	ga_ls8c_ard_3-0-0_090084_2015-07-29_final
2015-08-15 09:19:12	ga_ls8c_ard_3-0-0_090082_2015-08-14_final
2015-08-15 09:19:36	ga_ls8c_ard_3-0-0_090083_2015-08-14_final
2015-08-15 09:20:00	ga_ls8c_ard_3-0-0_090084_2015-08-14_final
2015-08-15 09:20:24	ga_ls8c_ard_3-0-0_090085_2015-08-14_final
2015-08-15 09:20:48	ga_ls8c_ard_3-0-0_090086_2015-08-14_final
2015-08-15 09:21:12	ga_ls8c_ard_3-0-0_090087_2015-08-14_final
2015-08-15 09:21:36	ga_ls8c_ard_3-0-0_090088_2015-08-14_final
2015-09-21 09:33:37	ga_ls8c_ard_3-0-0_093071_2015-09-21_final
2015-09-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2015-09-21_final
2015-09-21 09:34:25	ga_ls8c_ard_3-0-0_093073_2015-09-21_final
2015-09-21 09:34:49	ga_ls8c_ard_3-0-0_093074_2015-09-21_final
2015-09-21 09:35:13	ga_ls8c_ard_3-0-0_093075_2015-09-21_final
2015-09-23 09:24:04	ga_ls8c_ard_3-0-0_091078_2015-09-22_final
2015-09-23 09:24:28	ga_ls8c_ard_3-0-0_091079_2015-09-22_final
2015-09-23 09:24:52	ga_ls8c_ard_3-0-0_091080_2015-09-22_final
2015-09-23 09:25:15	ga_ls8c_ard_3-0-0_091081_2015-09-22_final
2015-09-23 09:25:39	ga_ls8c_ard_3-0-0_091082_2015-09-22_final
2015-09-23 09:26:03	ga_ls8c_ard_3-0-0_091083_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-11-24 09:33:48	ga_ls8c_ard_3-0-0_093071_2015-11-24_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-11-24 09:34:36	ga_ls8c_ard_3-0-0_093073_2015-11-24_final
2015-11-24 09:34:59	ga_ls8c_ard_3-0-0_093074_2015-11-24_final
2015-11-24 09:35:23	ga_ls8c_ard_3-0-0_093075_2015-11-24_final
2015-11-26 09:24:14	ga_ls8c_ard_3-0-0_091078_2015-11-25_final
2015-11-26 09:24:38	ga_ls8c_ard_3-0-0_091079_2015-11-25_final
2015-11-26 09:25:02	ga_ls8c_ard_3-0-0_091080_2015-11-25_final
2015-11-26 09:25:26	ga_ls8c_ard_3-0-0_091081_2015-11-25_final
2015-11-26 09:25:50	ga_ls8c_ard_3-0-0_091082_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2017-09-30 09:15:08	ga_ls8c_ard_3-0-0_089086_2017-09-29_final
2017-09-30 09:15:32	ga_ls8c_ard_3-0-0_089087_2017-09-29_final
2017-09-30 09:15:56	ga_ls8c_ard_3-0-0_089088_2017-09-29_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-09-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2017-09-29_final
2017-10-03 09:38:28	ga_ls8c_ard_3-0-0_094067_2017-10-03_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-08 09:28:48	ga_ls8c_ard_3-0-0_092074_2017-12-07_final
2017-12-08 09:29:12	ga_ls8c_ard_3-0-0_092075_2017-12-07_final
2017-12-08 09:29:36	ga_ls8c_ard_3-0-0_092076_2017-12-07_final
2017-12-08 09:30:00	ga_ls8c_ard_3-0-0_092077_2017-12-08_final
2017-12-08 09:30:24	ga_ls8c_ard_3-0-0_092078_2017-12-08_final
2017-12-08 09:30:48	ga_ls8c_ard_3-0-0_092079_2017-12-08_final
2017-12-08 09:31:12	ga_ls8c_ard_3-0-0_092080_2017-12-08_final
2018-01-04 09:15:03	ga_ls8c_ard_3-0-0_089086_2018-01-03_final
2018-01-04 09:15:27	ga_ls8c_ard_3-0-0_089087_2018-01-03_final
2018-01-04 09:15:51	ga_ls8c_ard_3-0-0_089088_2018-01-03_final
2018-01-04 09:16:15	ga_ls8c_ard_3-0-0_089089_2018-01-03_final
2018-01-04 09:16:38	ga_ls8c_ard_3-0-0_089090_2018-01-03_final
2018-05-19 09:18:28	ga_ls8c_ard_3-0-0_090082_2018-05-18_final
2018-05-19 09:18:51	ga_ls8c_ard_3-0-0_090083_2018-05-18_final
2018-05-19 09:19:15	ga_ls8c_ard_3-0-0_090084_2018-05-18_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_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