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
2015-08-31 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-08-30_final
2015-09-03 09:52:36	ga_ls8c_ard_3-0-0_095088_2015-09-03_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-09-19 09:52:45	ga_ls8c_ard_3-0-0_095088_2015-09-19_final
2015-09-21 09:40:24	ga_ls8c_ard_3-0-0_093088_2015-09-21_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-09-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2015-09-28_final
2015-10-05 09:52:48	ga_ls8c_ard_3-0-0_095088_2015-10-05_final
2015-10-07 09:40:27	ga_ls8c_ard_3-0-0_093088_2015-10-07_final
2015-10-14 09:46:37	ga_ls8c_ard_3-0-0_094088_2015-10-14_final
2015-10-16 09:34:15	ga_ls8c_ard_3-0-0_092088_2015-10-16_final
2015-10-18 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-10-17_final
2015-10-21 09:52:51	ga_ls8c_ard_3-0-0_095088_2015-10-21_final
2015-10-23 09:40:30	ga_ls8c_ard_3-0-0_093088_2015-10-23_final
2015-10-25 09:28:09	ga_ls8c_ard_3-0-0_091088_2015-10-24_final
2015-10-30 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-10-30_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-08 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-11-08_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2015-11-24 09:40:35	ga_ls8c_ard_3-0-0_093088_2015-11-24_final
2015-11-28 09:15:52	ga_ls8c_ard_3-0-0_089088_2015-11-27_final
2015-12-05 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-12-04_final
2015-12-08 09:52:55	ga_ls8c_ard_3-0-0_095088_2015-12-08_final
2015-12-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-12-10_final
2015-12-21 09:22:02	ga_ls8c_ard_3-0-0_090088_2015-12-20_final
2015-12-24 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-12-24_final
2015-12-26 09:40:34	ga_ls8c_ard_3-0-0_093088_2015-12-26_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-02-14 09:28:01	ga_ls8c_ard_3-0-0_091088_2016-02-13_final
2016-04-02 09:27:43	ga_ls8c_ard_3-0-0_091088_2016-04-01_final
2016-04-18 09:27:38	ga_ls8c_ard_3-0-0_091088_2016-04-17_final
2016-12-03 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-12-03_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_final
2016-12-07 09:22:12	ga_ls8c_ard_3-0-0_090088_2016-12-06_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2016-12-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-12-12_final
2016-12-14 09:28:21	ga_ls8c_ard_3-0-0_091088_2016-12-13_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2017-01-01 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-12-31_final
2017-01-04 09:46:49	ga_ls8c_ard_3-0-0_094088_2017-01-04_final
2017-01-06 09:34:27	ga_ls8c_ard_3-0-0_092088_2017-01-06_final
2017-01-08 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-01-07_final
2017-01-11 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-01-11_final
2017-01-13 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-01-13_final
2017-01-27 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-01-27_final
2017-01-29 09:40:30	ga_ls8c_ard_3-0-0_093088_2017-01-29_final
2017-02-05 09:46:37	ga_ls8c_ard_3-0-0_094088_2017-02-05_final
2017-02-12 09:52:44	ga_ls8c_ard_3-0-0_095088_2017-02-12_final
2017-02-14 09:40:22	ga_ls8c_ard_3-0-0_093088_2017-02-14_final
2017-02-21 09:46:31	ga_ls8c_ard_3-0-0_094088_2017-02-21_final
2017-02-28 09:52:39	ga_ls8c_ard_3-0-0_095088_2017-02-28_final
2017-03-02 09:40:17	ga_ls8c_ard_3-0-0_093088_2017-03-02_final
2017-03-04 09:27:54	ga_ls8c_ard_3-0-0_091088_2017-03-03_final
2017-03-09 09:46:24	ga_ls8c_ard_3-0-0_094088_2017-03-09_final
2017-03-16 09:52:30	ga_ls8c_ard_3-0-0_095088_2017-03-16_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2017-03-25 09:46:14	ga_ls8c_ard_3-0-0_094088_2017-03-25_final
2017-03-27 09:33:51	ga_ls8c_ard_3-0-0_092088_2017-03-27_final
2017-03-29 09:21:29	ga_ls8c_ard_3-0-0_090088_2017-03-28_final
2017-04-01 09:52:22	ga_ls8c_ard_3-0-0_095088_2017-04-01_final
2017-04-03 09:39:59	ga_ls8c_ard_3-0-0_093088_2017-04-03_final
2017-04-10 09:46:07	ga_ls8c_ard_3-0-0_094088_2017-04-10_final
2017-04-17 09:52:14	ga_ls8c_ard_3-0-0_095088_2017-04-17_final
2017-04-19 09:39:51	ga_ls8c_ard_3-0-0_093088_2017-04-19_final
2017-04-26 09:45:56	ga_ls8c_ard_3-0-0_094088_2017-04-26_final
2017-05-09 09:15:04	ga_ls8c_ard_3-0-0_089088_2017-05-08_final
2017-05-12 09:46:00	ga_ls8c_ard_3-0-0_094088_2017-05-12_final
2017-05-23 09:27:35	ga_ls8c_ard_3-0-0_091088_2017-05-22_final
2017-05-25 09:15:15	ga_ls8c_ard_3-0-0_089088_2017-05-24_final
2017-05-28 09:45:47	ga_ls8c_ard_3-0-0_094087_2017-05-28_final
2017-05-28 09:46:11	ga_ls8c_ard_3-0-0_094088_2017-05-28_final
2017-06-04 09:52:25	ga_ls8c_ard_3-0-0_095088_2017-06-04_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-13 09:46:18	ga_ls8c_ard_3-0-0_094088_2017-06-13_final
2017-06-24 09:27:49	ga_ls8c_ard_3-0-0_091088_2017-06-23_final
2017-06-29 09:46:23	ga_ls8c_ard_3-0-0_094088_2017-06-29_final
2019-01-07 09:15:34	ga_ls8c_ard_3-0-0_089088_2019-01-06_final
2023-06-07 09:39:49	ga_ls8c_ard_3-2-1_093088_2023-06-07_final
2023-06-09 09:27:29	ga_ls8c_ard_3-2-1_091088_2023-06-08_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-06-18 09:21:21	ga_ls8c_ard_3-2-1_090088_2023-06-17_final
2023-06-23 09:39:54	ga_ls8c_ard_3-2-1_093088_2023-06-23_final
2023-06-25 09:27:35	ga_ls8c_ard_3-2-1_091088_2023-06-24_final
2023-06-27 09:15:15	ga_ls8c_ard_3-2-1_089088_2023-06-26_final
2023-07-02 09:33:52	ga_ls8c_ard_3-2-1_092088_2023-07-02_final
2023-07-04 09:21:32	ga_ls8c_ard_3-2-1_090088_2023-07-03_final
2023-07-09 09:40:07	ga_ls8c_ard_3-2-1_093088_2023-07-09_final
2023-07-11 09:27:46	ga_ls8c_ard_3-2-1_091088_2023-07-10_final
2023-07-13 09:15:25	ga_ls8c_ard_3-2-1_089088_2023-07-12_final
2023-07-20 09:21:35	ga_ls8c_ard_3-2-1_090088_2023-07-19_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-08-28 09:28:04	ga_ls8c_ard_3-2-1_091088_2023-08-27_final
2023-08-30 09:15:42	ga_ls8c_ard_3-2-1_089088_2023-08-29_final
2023-10-17 09:15:52	ga_ls8c_ard_3-2-1_089088_2023-10-16_final
2023-10-22 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-10-22_final
2023-10-24 09:22:04	ga_ls8c_ard_3-2-1_090088_2023-10-23_final
2023-10-31 09:28:17	ga_ls8c_ard_3-2-1_091088_2023-10-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years