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
2014-03-05 09:20:04	ga_ls8c_ard_3-0-0_090082_2014-03-04_final
2014-03-05 09:20:28	ga_ls8c_ard_3-0-0_090083_2014-03-04_final
2014-03-05 09:20:52	ga_ls8c_ard_3-0-0_090084_2014-03-04_final
2014-03-05 09:21:15	ga_ls8c_ard_3-0-0_090085_2014-03-04_final
2014-03-05 09:21:39	ga_ls8c_ard_3-0-0_090086_2014-03-04_final
2014-03-05 09:22:03	ga_ls8c_ard_3-0-0_090087_2014-03-04_final
2014-03-30 09:15:08	ga_ls8c_ard_3-0-0_089086_2014-03-29_final
2014-04-02 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-04-02_final
2014-06-21 09:37:57	ga_ls8c_ard_3-0-0_094067_2014-06-21_final
2015-12-26 09:33:47	ga_ls8c_ard_3-0-0_093071_2015-12-26_final
2015-12-26 09:34:11	ga_ls8c_ard_3-0-0_093072_2015-12-26_final
2015-12-26 09:34:35	ga_ls8c_ard_3-0-0_093073_2015-12-26_final
2015-12-26 09:34:58	ga_ls8c_ard_3-0-0_093074_2015-12-26_final
2015-12-26 09:35:22	ga_ls8c_ard_3-0-0_093075_2015-12-26_final
2016-02-23 09:19:23	ga_ls8c_ard_3-0-0_090082_2016-02-22_final
2016-02-23 09:19:47	ga_ls8c_ard_3-0-0_090083_2016-02-22_final
2016-02-23 09:20:11	ga_ls8c_ard_3-0-0_090084_2016-02-22_final
2016-02-23 09:20:35	ga_ls8c_ard_3-0-0_090085_2016-02-22_final
2016-02-23 09:20:59	ga_ls8c_ard_3-0-0_090086_2016-02-22_final
2016-02-23 09:21:23	ga_ls8c_ard_3-0-0_090087_2016-02-22_final
2016-03-19 09:14:42	ga_ls8c_ard_3-0-0_089086_2016-03-18_final
2016-03-19 09:15:06	ga_ls8c_ard_3-0-0_089087_2016-03-18_final
2016-03-19 09:15:30	ga_ls8c_ard_3-0-0_089088_2016-03-18_final
2016-03-19 09:15:54	ga_ls8c_ard_3-0-0_089089_2016-03-18_final
2016-03-19 09:16:18	ga_ls8c_ard_3-0-0_089090_2016-03-18_final
2016-03-22 09:38:00	ga_ls8c_ard_3-0-0_094067_2016-03-22_final
2016-05-27 09:28:18	ga_ls8c_ard_3-0-0_092074_2016-05-26_final
2016-05-27 09:28:42	ga_ls8c_ard_3-0-0_092075_2016-05-26_final
2016-05-27 09:29:06	ga_ls8c_ard_3-0-0_092076_2016-05-26_final
2016-05-27 09:29:30	ga_ls8c_ard_3-0-0_092077_2016-05-26_final
2016-05-27 09:29:54	ga_ls8c_ard_3-0-0_092078_2016-05-26_final
2016-05-27 09:30:18	ga_ls8c_ard_3-0-0_092079_2016-05-27_final
2016-05-29 09:19:08	ga_ls8c_ard_3-0-0_090082_2016-05-28_final
2016-05-29 09:19:32	ga_ls8c_ard_3-0-0_090083_2016-05-28_final
2016-05-29 09:19:56	ga_ls8c_ard_3-0-0_090084_2016-05-28_final
2016-05-29 09:20:20	ga_ls8c_ard_3-0-0_090085_2016-05-28_final
2016-05-29 09:20:44	ga_ls8c_ard_3-0-0_090086_2016-05-28_final
2016-05-29 09:21:08	ga_ls8c_ard_3-0-0_090087_2016-05-28_final
2016-06-10 09:37:55	ga_ls8c_ard_3-0-0_094067_2016-06-10_final
2016-06-12 09:28:21	ga_ls8c_ard_3-0-0_092074_2016-06-11_final
2016-06-12 09:28:45	ga_ls8c_ard_3-0-0_092075_2016-06-11_final
2016-06-12 09:29:09	ga_ls8c_ard_3-0-0_092076_2016-06-11_final
2016-06-12 09:29:33	ga_ls8c_ard_3-0-0_092077_2016-06-11_final
2016-06-12 09:29:57	ga_ls8c_ard_3-0-0_092078_2016-06-11_final
2016-06-12 09:30:21	ga_ls8c_ard_3-0-0_092079_2016-06-12_final
2016-06-30 09:19:20	ga_ls8c_ard_3-0-0_090082_2016-06-29_final
2016-06-30 09:19:44	ga_ls8c_ard_3-0-0_090083_2016-06-29_final
2016-06-30 09:20:08	ga_ls8c_ard_3-0-0_090084_2016-06-29_final
2016-06-30 09:20:32	ga_ls8c_ard_3-0-0_090085_2016-06-29_final
2016-06-30 09:20:56	ga_ls8c_ard_3-0-0_090086_2016-06-29_final
2016-06-30 09:21:19	ga_ls8c_ard_3-0-0_090087_2016-06-29_final
2016-08-08 09:24:06	ga_ls8c_ard_3-0-0_091078_2016-08-07_final
2016-08-08 09:24:30	ga_ls8c_ard_3-0-0_091079_2016-08-07_final
2016-08-08 09:24:54	ga_ls8c_ard_3-0-0_091080_2016-08-07_final
2016-08-08 09:25:18	ga_ls8c_ard_3-0-0_091081_2016-08-07_final
2016-08-08 09:25:42	ga_ls8c_ard_3-0-0_091082_2016-08-07_final
2016-08-08 09:26:06	ga_ls8c_ard_3-0-0_091083_2016-08-07_final
2016-08-15 09:28:43	ga_ls8c_ard_3-0-0_092074_2016-08-14_final
2016-08-15 09:29:07	ga_ls8c_ard_3-0-0_092075_2016-08-14_final
2016-08-15 09:29:31	ga_ls8c_ard_3-0-0_092076_2016-08-14_final
2016-08-15 09:29:55	ga_ls8c_ard_3-0-0_092077_2016-08-14_final
2016-08-15 09:30:19	ga_ls8c_ard_3-0-0_092078_2016-08-15_final
2016-08-15 09:30:43	ga_ls8c_ard_3-0-0_092079_2016-08-15_final
2016-08-17 09:19:34	ga_ls8c_ard_3-0-0_090082_2016-08-16_final
2016-08-17 09:19:58	ga_ls8c_ard_3-0-0_090083_2016-08-16_final
2016-08-17 09:20:22	ga_ls8c_ard_3-0-0_090084_2016-08-16_final
2016-08-17 09:20:46	ga_ls8c_ard_3-0-0_090085_2016-08-16_final
2016-08-17 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-08-16_final
2016-08-17 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-08-16_final
2016-10-04 09:19:45	ga_ls8c_ard_3-0-0_090082_2016-10-03_final
2016-10-04 09:20:09	ga_ls8c_ard_3-0-0_090083_2016-10-03_final
2016-10-04 09:20:33	ga_ls8c_ard_3-0-0_090084_2016-10-03_final
2016-10-04 09:20:57	ga_ls8c_ard_3-0-0_090085_2016-10-03_final
2016-10-04 09:21:21	ga_ls8c_ard_3-0-0_090086_2016-10-03_final
2016-10-04 09:21:45	ga_ls8c_ard_3-0-0_090087_2016-10-03_final
2017-11-24 09:19:41	ga_ls8c_ard_3-0-0_090082_2017-11-23_final
2017-11-24 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-11-23_final
2017-11-24 09:20:29	ga_ls8c_ard_3-0-0_090084_2017-11-23_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-24 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-11-23_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-12-26 09:19:41	ga_ls8c_ard_3-0-0_090082_2017-12-25_final
2017-12-26 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-12-25_final
2017-12-26 09:20:28	ga_ls8c_ard_3-0-0_090084_2017-12-25_final
2017-12-26 09:20:52	ga_ls8c_ard_3-0-0_090085_2017-12-25_final
2017-12-26 09:21:16	ga_ls8c_ard_3-0-0_090086_2017-12-25_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_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
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-01 09:33:47	ga_ls8c_ard_3-2-0_093072_2021-06-01_final
2021-06-01 09:34:11	ga_ls8c_ard_3-2-0_093073_2021-06-01_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