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
2013-12-06 09:25:18	ga_ls8c_ard_3-0-0_091077_2013-12-05_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
2014-01-30 09:31:20	ga_ls8c_ard_3-0-0_092078_2014-01-30_final
2014-01-30 09:31:44	ga_ls8c_ard_3-0-0_092079_2014-01-30_final
2014-02-01 09:20:33	ga_ls8c_ard_3-0-0_090082_2014-01-31_final
2014-02-01 09:20:57	ga_ls8c_ard_3-0-0_090083_2014-01-31_final
2014-02-01 09:21:21	ga_ls8c_ard_3-0-0_090084_2014-01-31_final
2014-02-01 09:21:45	ga_ls8c_ard_3-0-0_090085_2014-01-31_final
2014-02-01 09:22:09	ga_ls8c_ard_3-0-0_090086_2014-01-31_final
2014-02-01 09:22:33	ga_ls8c_ard_3-0-0_090087_2014-01-31_final
2014-05-06 09:28:41	ga_ls8c_ard_3-0-0_092075_2014-05-05_final
2014-05-06 09:29:05	ga_ls8c_ard_3-0-0_092076_2014-05-05_final
2014-05-06 09:29:29	ga_ls8c_ard_3-0-0_092077_2014-05-05_final
2014-05-06 09:29:53	ga_ls8c_ard_3-0-0_092078_2014-05-05_final
2014-05-06 09:30:17	ga_ls8c_ard_3-0-0_092079_2014-05-06_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
2015-07-05 09:23:07	ga_ls8c_ard_3-0-0_091077_2015-07-04_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
2015-11-24 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
2015-11-26 09:23:50	ga_ls8c_ard_3-0-0_091077_2015-11-25_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
2017-09-26 09:32:39	ga_ls8c_ard_3-0-0_093068_2017-09-26_final
2017-09-30 09:14:44	ga_ls8c_ard_3-0-0_089085_2017-09-29_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
2017-10-03 09:38:28	ga_ls8c_ard_3-0-0_094067_2017-10-03_final
2017-11-17 09:14:45	ga_ls8c_ard_3-0-0_089085_2017-11-16_final
2017-11-17 09:15:09	ga_ls8c_ard_3-0-0_089086_2017-11-16_final
2017-11-17 09:15:33	ga_ls8c_ard_3-0-0_089087_2017-11-16_final
2017-11-17 09:15:57	ga_ls8c_ard_3-0-0_089088_2017-11-16_final
2017-11-17 09:16:21	ga_ls8c_ard_3-0-0_089089_2017-11-16_final
2017-11-17 09:16:45	ga_ls8c_ard_3-0-0_089090_2017-11-16_final
2018-01-04 09:14:39	ga_ls8c_ard_3-0-0_089085_2018-01-03_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
2018-01-20 09:14:31	ga_ls8c_ard_3-0-0_089085_2018-01-19_final
2018-01-20 09:14:55	ga_ls8c_ard_3-0-0_089086_2018-01-19_final
2018-01-20 09:15:19	ga_ls8c_ard_3-0-0_089087_2018-01-19_final
2018-01-20 09:15:43	ga_ls8c_ard_3-0-0_089088_2018-01-19_final
2018-01-20 09:16:07	ga_ls8c_ard_3-0-0_089089_2018-01-19_final
2018-01-20 09:16:31	ga_ls8c_ard_3-0-0_089090_2018-01-19_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
2018-05-24 09:31:21	ga_ls8c_ard_3-0-0_093068_2018-05-24_final
2020-10-22 09:24:01	ga_ls8c_ard_3-1-0_091077_2020-10-21_final
2020-10-22 09:24:25	ga_ls8c_ard_3-1-0_091078_2020-10-21_final
2020-10-22 09:24:49	ga_ls8c_ard_3-1-0_091079_2020-10-21_final
2020-10-22 09:25:13	ga_ls8c_ard_3-1-0_091080_2020-10-21_final
2020-10-22 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-10-21_final
2020-10-22 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-10-21_final
2020-10-22 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-10-21_final
2020-11-21 09:32:46	ga_ls8c_ard_3-1-0_093068_2020-11-21_final
2020-11-21 09:33:58	ga_ls8c_ard_3-1-0_093071_2020-11-21_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2020-11-21 09:34:45	ga_ls8c_ard_3-1-0_093073_2020-11-21_final
2020-11-21 09:35:09	ga_ls8c_ard_3-1-0_093074_2020-11-21_final
2020-12-07 09:32:48	ga_ls8c_ard_3-1-0_093068_2020-12-07_final
2020-12-07 09:34:00	ga_ls8c_ard_3-1-0_093071_2020-12-07_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2020-12-07 09:34:48	ga_ls8c_ard_3-1-0_093073_2020-12-07_final
2020-12-07 09:35:12	ga_ls8c_ard_3-1-0_093074_2020-12-07_final
2020-12-09 09:24:02	ga_ls8c_ard_3-1-0_091077_2020-12-08_final
2020-12-09 09:24:26	ga_ls8c_ard_3-1-0_091078_2020-12-08_final
2020-12-09 09:24:50	ga_ls8c_ard_3-1-0_091079_2020-12-08_final
2020-12-09 09:25:14	ga_ls8c_ard_3-1-0_091080_2020-12-08_final
2020-12-09 09:25:38	ga_ls8c_ard_3-1-0_091081_2020-12-08_final
2020-12-09 09:26:02	ga_ls8c_ard_3-1-0_091082_2020-12-08_final
2020-12-09 09:26:26	ga_ls8c_ard_3-1-0_091083_2020-12-08_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