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
2016-11-07 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-11-07_final
2016-11-08 08:18:14	ga_ls8c_ard_3-2-1_079098_2016-11-07_final
2016-11-15 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-14_final
2016-11-16 14:03:56	ga_ls8c_ard_3-2-1_135097_2016-11-16_final
2016-11-24 08:18:14	ga_ls8c_ard_3-2-1_079098_2016-11-23_final
2016-12-01 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-30_final
2016-12-10 08:18:12	ga_ls8c_ard_3-2-1_079098_2016-12-09_final
2016-12-17 08:24:20	ga_ls8c_ard_3-2-1_080098_2016-12-16_final
2016-12-18 14:03:51	ga_ls8c_ard_3-2-1_135097_2016-12-18_final
2016-12-26 08:18:08	ga_ls8c_ard_3-2-1_079098_2016-12-25_final
2017-09-16 14:03:43	ga_ls8c_ard_3-2-1_135097_2017-09-16_final
2017-09-24 08:18:05	ga_ls8c_ard_3-2-1_079098_2017-09-23_final
2017-10-01 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-09-30_final
2017-10-02 14:03:50	ga_ls8c_ard_3-2-1_135097_2017-10-02_final
2017-10-10 08:18:11	ga_ls8c_ard_3-2-1_079098_2017-10-09_final
2017-10-17 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-10-16_final
2017-10-18 14:03:54	ga_ls8c_ard_3-2-1_135097_2017-10-18_final
2017-10-26 08:18:12	ga_ls8c_ard_3-2-1_079098_2017-10-25_final
2017-11-02 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-11-01_final
2017-11-03 14:03:53	ga_ls8c_ard_3-2-1_135097_2017-11-03_final
2017-11-10 14:10:03	ga_ls8c_ard_3-2-1_136097_2017-11-10_final
2017-11-18 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-11-17_final
2017-11-19 14:03:49	ga_ls8c_ard_3-2-1_135097_2017-11-19_final
2017-11-27 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-11-26_final
2017-12-04 08:24:14	ga_ls8c_ard_3-2-1_080098_2017-12-03_final
2017-12-05 14:03:45	ga_ls8c_ard_3-2-1_135097_2017-12-05_final
2017-12-20 08:24:17	ga_ls8c_ard_3-2-1_080098_2017-12-19_final
2017-12-28 14:09:57	ga_ls8c_ard_3-2-1_136097_2017-12-28_final
2018-09-18 08:23:43	ga_ls8c_ard_3-2-1_080098_2018-09-17_final
2018-09-19 14:03:14	ga_ls8c_ard_3-2-1_135097_2018-09-19_final
2018-10-05 14:03:22	ga_ls8c_ard_3-2-1_135097_2018-10-05_final
2018-10-12 14:09:36	ga_ls8c_ard_3-2-1_136097_2018-10-12_final
2018-10-20 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-10-19_final
2018-10-21 14:03:28	ga_ls8c_ard_3-2-1_135097_2018-10-21_final
2018-10-29 08:17:48	ga_ls8c_ard_3-2-1_079098_2018-10-28_final
2018-11-05 08:24:00	ga_ls8c_ard_3-2-1_080098_2018-11-04_final
2018-11-06 14:03:31	ga_ls8c_ard_3-2-1_135097_2018-11-06_final
2018-11-13 14:09:43	ga_ls8c_ard_3-2-1_136097_2018-11-13_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-11-29 14:09:42	ga_ls8c_ard_3-2-1_136097_2018-11-29_final
2018-11-30 08:17:49	ga_ls8c_ard_3-2-1_079098_2018-11-29_final
2018-12-07 08:23:59	ga_ls8c_ard_3-2-1_080098_2018-12-06_final
2018-12-08 14:03:29	ga_ls8c_ard_3-2-1_135097_2018-12-08_final
2018-12-15 14:09:39	ga_ls8c_ard_3-2-1_136097_2018-12-15_final
2018-12-16 08:17:46	ga_ls8c_ard_3-2-1_079098_2018-12-15_final
2018-12-23 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-12-22_final
2019-09-30 08:18:15	ga_ls8c_ard_3-2-1_079098_2019-09-29_final
2019-10-07 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-10-06_final
2019-10-16 08:18:18	ga_ls8c_ard_3-2-1_079098_2019-10-15_final
2019-10-23 08:24:29	ga_ls8c_ard_3-2-1_080098_2019-10-22_final
2019-10-31 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-31_final
2019-11-01 08:18:17	ga_ls8c_ard_3-2-1_079098_2019-10-31_final
2019-11-08 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-11-07_final
2019-11-09 14:03:58	ga_ls8c_ard_3-2-1_135097_2019-11-09_final
2019-11-16 14:10:07	ga_ls8c_ard_3-2-1_136097_2019-11-16_final
2019-11-17 08:18:14	ga_ls8c_ard_3-2-1_079098_2019-11-16_final
2019-11-24 08:24:24	ga_ls8c_ard_3-2-1_080098_2019-11-23_final
2019-11-25 14:03:55	ga_ls8c_ard_3-2-1_135097_2019-11-25_final
2019-12-03 08:18:13	ga_ls8c_ard_3-2-1_079098_2019-12-02_final
2019-12-10 08:24:23	ga_ls8c_ard_3-2-1_080098_2019-12-09_final
2019-12-11 14:03:54	ga_ls8c_ard_3-2-1_135097_2019-12-11_final
2019-12-19 08:18:11	ga_ls8c_ard_3-2-1_079098_2019-12-18_final
2019-12-26 08:24:20	ga_ls8c_ard_3-2-1_080098_2019-12-25_final
2019-12-27 14:03:51	ga_ls8c_ard_3-2-1_135097_2019-12-27_final
2020-01-03 14:09:59	ga_ls8c_ard_3-2-1_136097_2020-01-03_final
2020-01-04 08:18:06	ga_ls8c_ard_3-2-1_079098_2020-01-03_final
2020-01-11 08:24:16	ga_ls8c_ard_3-2-1_080098_2020-01-10_final
2020-01-20 08:18:03	ga_ls8c_ard_3-2-1_079098_2020-01-19_final
2020-01-27 08:24:12	ga_ls8c_ard_3-2-1_080098_2020-01-26_final
2020-02-05 08:17:58	ga_ls8c_ard_3-2-1_079098_2020-02-04_final
2020-02-12 08:24:07	ga_ls8c_ard_3-2-1_080098_2020-02-11_final
2020-02-21 08:17:55	ga_ls8c_ard_3-2-1_079098_2020-02-20_final
2020-02-28 08:24:03	ga_ls8c_ard_3-2-1_080098_2020-02-27_final
2020-03-08 08:17:49	ga_ls8c_ard_3-2-1_079098_2020-03-07_final
2020-03-15 08:23:56	ga_ls8c_ard_3-2-1_080098_2020-03-14_final
2020-03-24 08:17:41	ga_ls8c_ard_3-2-1_079098_2020-03-23_final
2020-03-31 08:23:47	ga_ls8c_ard_3-2-1_080098_2020-03-30_final
2020-04-09 08:17:32	ga_ls8c_ard_3-2-1_079098_2020-04-08_final
2020-04-16 08:23:40	ga_ls8c_ard_3-2-1_080098_2020-04-15_final
2020-04-25 08:17:25	ga_ls8c_ard_3-2-1_079098_2020-04-24_final
2020-05-02 08:23:32	ga_ls8c_ard_3-2-1_080098_2020-05-01_final
2020-05-11 08:17:18	ga_ls8c_ard_3-2-1_079098_2020-05-10_final
2020-05-18 08:23:31	ga_ls8c_ard_3-2-1_080098_2020-05-17_final
2020-05-27 08:17:21	ga_ls8c_ard_3-2-1_079098_2020-05-26_final
2020-06-03 08:23:36	ga_ls8c_ard_3-2-1_080098_2020-06-02_final
2020-06-12 08:17:31	ga_ls8c_ard_3-2-1_079098_2020-06-11_final
2020-08-22 08:24:09	ga_ls8c_ard_3-2-1_080098_2020-08-21_final
2020-08-23 14:03:41	ga_ls8c_ard_3-2-1_135097_2020-08-23_final
2020-08-31 08:18:03	ga_ls8c_ard_3-2-1_079098_2020-08-30_final
2020-09-07 08:24:17	ga_ls8c_ard_3-2-1_080098_2020-09-06_final
2020-09-08 14:03:48	ga_ls8c_ard_3-2-1_135097_2020-09-08_final
2020-09-16 08:18:09	ga_ls8c_ard_3-2-1_079098_2020-09-15_final
2020-10-09 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-08_final
2020-12-12 08:24:26	ga_ls8c_ard_3-2-1_080098_2020-12-11_final
2020-12-28 08:24:23	ga_ls8c_ard_3-2-1_080098_2020-12-27_final
2021-01-06 08:18:09	ga_ls8c_ard_3-2-1_079098_2021-01-05_final
2021-01-13 08:24:16	ga_ls8c_ard_3-2-1_080098_2021-01-12_final
2023-05-11 08:23:24	ga_ls8c_ard_3-2-1_080098_2023-05-10_final
2023-05-20 08:17:11	ga_ls8c_ard_3-2-1_079098_2023-05-19_final
2023-05-27 08:23:24	ga_ls8c_ard_3-2-1_080098_2023-05-26_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