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
2013-03-26 09:40:28	ga_ls8c_ard_3-0-0_093085_2013-03-26_final
2013-04-03 09:53:24	ga_ls8c_ard_3-0-0_095085_2013-04-03_final
2013-04-06 10:10:41	ga_ls8c_ard_3-0-0_098085_2013-04-06_final
2013-04-15 09:47:14	ga_ls8c_ard_3-0-0_094085_2013-04-15_final
2013-04-17 09:34:52	ga_ls8c_ard_3-0-0_092085_2013-04-17_final
2013-04-18 10:18:07	ga_ls8c_ard_3-0-0_099085_2013-04-18_final
2013-04-19 09:22:30	ga_ls8c_ard_3-0-0_090085_2013-04-18_final
2013-04-20 10:05:45	ga_ls8c_ard_3-0-0_097085_2013-04-20_final
2013-05-06 10:05:46	ga_ls8c_ard_3-0-0_097085_2013-05-06_final
2013-05-13 10:12:04	ga_ls8c_ard_3-0-0_098085_2013-05-13_final
2013-05-15 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-05-15_final
2013-06-15 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-06-14_final
2013-06-16 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-06-16_final
2013-06-18 09:47:21	ga_ls8c_ard_3-0-0_094085_2013-06-18_final
2013-06-20 09:34:58	ga_ls8c_ard_3-0-0_092085_2013-06-20_final
2013-06-22 09:22:36	ga_ls8c_ard_3-0-0_090085_2013-06-21_final
2013-07-06 09:35:02	ga_ls8c_ard_3-0-0_092085_2013-07-06_final
2013-07-08 09:22:17	ga_ls8c_ard_3-0-0_090084_2013-07-07_final
2013-07-08 09:22:41	ga_ls8c_ard_3-0-0_090085_2013-07-07_final
2013-07-09 10:05:56	ga_ls8c_ard_3-0-0_097085_2013-07-09_final
2013-07-11 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-07-11_final
2013-07-15 09:28:51	ga_ls8c_ard_3-0-0_091085_2013-07-14_final
2013-07-15 11:07:20	ga_ls8c_ard_3-0-0_107084_2013-07-15_final
2013-07-22 09:35:00	ga_ls8c_ard_3-0-0_092085_2013-07-22_final
2013-08-05 09:47:25	ga_ls8c_ard_3-0-0_094085_2013-08-05_final
2013-08-07 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-08-07_final
2013-08-14 09:41:14	ga_ls8c_ard_3-0-0_093085_2013-08-14_final
2013-08-16 09:28:52	ga_ls8c_ard_3-0-0_091085_2013-08-15_final
2013-08-21 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-08-21_final
2013-08-23 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-08-23_final
2013-09-04 09:59:49	ga_ls8c_ard_3-0-0_096085_2013-09-04_final
2013-09-06 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-09-06_final
2013-09-08 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-09-08_final
2013-09-10 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-09-09_final
2013-09-18 10:12:05	ga_ls8c_ard_3-0-0_098085_2013-09-18_final
2013-09-19 09:16:27	ga_ls8c_ard_3-0-0_089085_2013-09-18_final
2013-10-04 10:12:01	ga_ls8c_ard_3-0-0_098085_2013-10-04_final
2013-10-05 09:16:24	ga_ls8c_ard_3-0-0_089085_2013-10-04_final
2013-10-06 09:59:39	ga_ls8c_ard_3-0-0_096085_2013-10-06_final
2013-10-13 10:05:49	ga_ls8c_ard_3-0-0_097085_2013-10-13_final
2013-10-15 09:53:27	ga_ls8c_ard_3-0-0_095085_2013-10-15_final
2013-10-17 09:41:05	ga_ls8c_ard_3-0-0_093085_2013-10-17_final
2013-10-20 10:11:57	ga_ls8c_ard_3-0-0_098085_2013-10-20_final
2013-10-22 09:59:34	ga_ls8c_ard_3-0-0_096085_2013-10-22_final
2013-10-24 09:47:11	ga_ls8c_ard_3-0-0_094085_2013-10-24_final
2013-11-21 10:11:45	ga_ls8c_ard_3-0-0_098085_2013-11-21_final
2013-11-23 09:59:21	ga_ls8c_ard_3-0-0_096085_2013-11-23_final
2013-11-25 09:47:01	ga_ls8c_ard_3-0-0_094085_2013-11-25_final
2014-03-10 09:39:47	ga_ls8c_ard_3-0-0_093085_2014-03-10_final
2014-03-14 09:15:02	ga_ls8c_ard_3-0-0_089085_2014-03-13_final
2014-03-29 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-03-29_final
2014-03-30 09:14:44	ga_ls8c_ard_3-0-0_089085_2014-03-29_final
2014-03-31 09:58:00	ga_ls8c_ard_3-0-0_096085_2014-03-31_final
2014-05-24 09:19:47	ga_ls8c_ard_3-0-0_090084_2014-05-23_final
2014-05-24 09:20:11	ga_ls8c_ard_3-0-0_090085_2014-05-23_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2014-06-12 09:50:53	ga_ls8c_ard_3-0-0_095084_2014-06-12_final
2014-06-12 09:51:17	ga_ls8c_ard_3-0-0_095085_2014-06-12_final
2014-06-12 11:29:46	ga_ls8c_ard_3-0-0_111084_2014-06-12_final
2014-06-26 10:03:16	ga_ls8c_ard_3-0-0_097084_2014-06-26_final
2014-06-26 10:03:40	ga_ls8c_ard_3-0-0_097085_2014-06-26_final
2014-06-28 09:50:55	ga_ls8c_ard_3-0-0_095084_2014-06-28_final
2014-06-28 09:51:19	ga_ls8c_ard_3-0-0_095085_2014-06-28_final
2015-04-14 09:38:37	ga_ls8c_ard_3-0-0_093085_2015-04-14_final
2015-04-14 11:17:30	ga_ls8c_ard_3-0-0_109085_2015-04-14_final
2015-04-15 10:21:53	ga_ls8c_ard_3-0-0_100085_2015-04-15_final
2015-04-16 09:26:15	ga_ls8c_ard_3-0-0_091085_2015-04-15_final
2015-04-16 11:05:08	ga_ls8c_ard_3-0-0_107085_2015-04-16_final
2015-04-30 09:38:29	ga_ls8c_ard_3-0-0_093085_2015-04-30_final
2015-05-02 09:26:05	ga_ls8c_ard_3-0-0_091085_2015-05-01_final
2017-06-06 09:38:52	ga_ls8c_ard_3-0-0_093085_2017-06-06_final
2017-06-06 11:17:45	ga_ls8c_ard_3-0-0_109085_2017-06-06_final
2017-06-07 10:22:09	ga_ls8c_ard_3-0-0_100085_2017-06-07_final
2017-06-08 09:26:08	ga_ls8c_ard_3-0-0_091084_2017-06-07_final
2017-06-08 09:26:32	ga_ls8c_ard_3-0-0_091085_2017-06-07_final
2017-06-08 11:05:01	ga_ls8c_ard_3-0-0_107084_2017-06-08_final
2017-06-08 11:05:25	ga_ls8c_ard_3-0-0_107085_2017-06-08_final
2017-07-26 09:26:47	ga_ls8c_ard_3-0-0_091085_2017-07-25_final
2017-07-26 11:05:16	ga_ls8c_ard_3-0-0_107084_2017-07-26_final
2017-07-26 11:05:40	ga_ls8c_ard_3-0-0_107085_2017-07-26_final
2022-08-11 09:15:01	ga_ls8c_ard_3-2-1_089085_2022-08-10_final
2022-08-17 10:16:26	ga_ls8c_ard_3-2-1_099084_2022-08-17_final
2022-08-17 10:16:50	ga_ls8c_ard_3-2-1_099085_2022-08-17_final
2022-08-18 09:21:13	ga_ls8c_ard_3-2-1_090085_2022-08-17_final
2022-08-28 09:58:18	ga_ls8c_ard_3-2-1_096085_2022-08-28_final
2022-08-30 09:45:57	ga_ls8c_ard_3-2-1_094085_2022-08-30_final
2022-08-30 11:24:50	ga_ls8c_ard_3-2-1_110085_2022-08-30_final
2022-09-01 09:33:35	ga_ls8c_ard_3-2-1_092085_2022-09-01_final
2022-09-01 11:12:04	ga_ls8c_ard_3-2-1_108084_2022-09-01_final
2022-09-02 10:16:26	ga_ls8c_ard_3-2-1_099084_2022-09-02_final
2022-09-02 10:16:50	ga_ls8c_ard_3-2-1_099085_2022-09-02_final
2022-09-03 09:21:13	ga_ls8c_ard_3-2-1_090085_2022-09-02_final
2022-09-04 10:04:29	ga_ls8c_ard_3-2-1_097085_2022-09-04_final
2022-09-06 09:52:09	ga_ls8c_ard_3-2-1_095085_2022-09-06_final
2022-09-08 09:39:49	ga_ls8c_ard_3-2-1_093085_2022-09-08_final
2022-10-17 09:45:57	ga_ls8c_ard_3-2-1_094085_2022-10-17_final
2022-10-17 11:24:50	ga_ls8c_ard_3-2-1_110085_2022-10-17_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-29 10:10:46	ga_ls8c_ard_3-2-1_098085_2022-10-29_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