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:

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First 100 results (query limit)

Time (local)	Label
2015-08-27 09:46:24	ga_ls8c_ard_3-0-0_094088_2015-08-27_final
2015-08-29 09:34:03	ga_ls8c_ard_3-0-0_092088_2015-08-29_final
2015-08-29 09:34:27	ga_ls8c_ard_3-0-0_092089_2015-08-29_final
2015-09-14 09:34:10	ga_ls8c_ard_3-0-0_092088_2015-09-14_final
2015-09-14 09:34:34	ga_ls8c_ard_3-0-0_092089_2015-09-14_final
2015-09-16 09:21:50	ga_ls8c_ard_3-0-0_090088_2015-09-15_final
2015-09-16 09:22:14	ga_ls8c_ard_3-0-0_090089_2015-09-15_final
2015-09-30 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-09-30_final
2015-09-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-09-30_final
2015-10-02 09:21:54	ga_ls8c_ard_3-0-0_090088_2015-10-01_final
2015-10-02 09:22:18	ga_ls8c_ard_3-1-0_090089_2015-10-01_final
2015-10-09 09:28:05	ga_ls8c_ard_3-0-0_091088_2015-10-08_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-11 09:15:43	ga_ls8c_ard_3-0-0_089088_2015-10-10_final
2015-10-11 09:16:07	ga_ls8c_ard_3-0-0_089089_2015-10-10_final
2015-10-27 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-10-26_final
2015-10-27 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-10-26_final
2015-11-12 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-11-11_final
2015-11-12 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-11-11_final
2015-12-01 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-01_final
2015-12-03 09:34:24	ga_ls8c_ard_3-0-0_092088_2015-12-03_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-17 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-17_final
2015-12-19 09:34:23	ga_ls8c_ard_3-0-0_092088_2015-12-19_final
2015-12-19 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-19_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
2016-12-16 09:15:58	ga_ls8c_ard_3-0-0_089088_2016-12-15_final
2016-12-16 09:16:22	ga_ls8c_ard_3-0-0_089089_2016-12-15_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2017-01-08 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-01-07_final
2017-01-08 09:22:29	ga_ls8c_ard_3-0-0_090089_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
2017-01-24 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-01-23_final
2017-01-24 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-01-23_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
2017-02-02 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-02-01_final
2017-02-02 09:16:08	ga_ls8c_ard_3-0-0_089089_2017-02-01_final
2017-02-05 09:46:37	ga_ls8c_ard_3-0-0_094088_2017-02-05_final
2017-02-21 09:46:31	ga_ls8c_ard_3-0-0_094088_2017-02-21_final
2017-03-09 09:46:24	ga_ls8c_ard_3-0-0_094088_2017-03-09_final
2017-03-20 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-03-19_final
2017-03-20 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-03-19_final
2017-03-22 09:15:21	ga_ls8c_ard_3-0-0_089088_2017-03-21_final
2017-03-22 09:15:45	ga_ls8c_ard_3-0-0_089089_2017-03-21_final
2017-04-12 09:33:44	ga_ls8c_ard_3-0-0_092088_2017-04-12_final
2017-04-12 09:34:08	ga_ls8c_ard_3-0-0_092089_2017-04-12_final
2017-04-14 09:21:21	ga_ls8c_ard_3-0-0_090088_2017-04-13_final
2017-04-14 09:21:45	ga_ls8c_ard_3-0-0_090089_2017-04-13_final
2017-04-23 09:15:05	ga_ls8c_ard_3-0-0_089088_2017-04-22_final
2017-04-23 09:15:29	ga_ls8c_ard_3-0-0_089089_2017-04-22_final
2017-04-28 09:33:33	ga_ls8c_ard_3-0-0_092088_2017-04-28_final
2017-04-28 09:33:57	ga_ls8c_ard_3-0-0_092089_2017-04-28_final
2017-04-30 09:21:11	ga_ls8c_ard_3-0-0_090088_2017-04-29_final
2017-04-30 09:21:35	ga_ls8c_ard_3-0-0_090089_2017-04-29_final
2017-05-14 09:33:40	ga_ls8c_ard_3-0-0_092088_2017-05-14_final
2017-05-14 09:34:04	ga_ls8c_ard_3-0-0_092089_2017-05-14_final
2017-05-16 09:21:20	ga_ls8c_ard_3-0-0_090088_2017-05-15_final
2017-05-16 09:21:44	ga_ls8c_ard_3-0-0_090089_2017-05-15_final
2017-05-25 09:15:15	ga_ls8c_ard_3-0-0_089088_2017-05-24_final
2017-05-25 09:15:39	ga_ls8c_ard_3-0-0_089089_2017-05-24_final
2017-06-01 09:21:29	ga_ls8c_ard_3-0-0_090088_2017-05-31_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2017-06-26 09:15:28	ga_ls8c_ard_3-0-0_089088_2017-06-25_final
2017-06-26 09:15:52	ga_ls8c_ard_3-0-0_089089_2017-06-25_final
2017-07-01 09:34:02	ga_ls8c_ard_3-0-0_092088_2017-07-01_final
2017-07-01 09:34:26	ga_ls8c_ard_3-0-0_092089_2017-07-01_final
2017-07-03 09:21:40	ga_ls8c_ard_3-0-0_090088_2017-07-02_final
2017-07-03 09:22:04	ga_ls8c_ard_3-0-0_090089_2017-07-02_final
2019-11-10 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-11-10_final
2019-11-26 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-11-26_final
2019-12-28 09:46:51	ga_ls8c_ard_3-1-0_094088_2019-12-28_final
2019-12-30 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-12-30_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-03-14 09:15:35	ga_ls8c_ard_3-1-0_089088_2020-03-13_final
2020-03-14 09:15:58	ga_ls8c_ard_3-1-0_089089_2020-03-13_final
2020-03-19 09:34:04	ga_ls8c_ard_3-1-0_092088_2020-03-19_final
2020-03-19 09:34:28	ga_ls8c_ard_3-1-0_092089_2020-03-19_final
2020-03-21 09:21:42	ga_ls8c_ard_3-1-0_090088_2020-03-20_final
2020-03-21 09:22:06	ga_ls8c_ard_3-1-0_090089_2020-03-20_final
2020-04-13 09:28:05	ga_ls8c_ard_3-1-0_091089_2020-04-12_final
2020-04-15 09:15:18	ga_ls8c_ard_3-1-0_089088_2020-04-14_final
2020-04-15 09:15:42	ga_ls8c_ard_3-1-0_089089_2020-04-14_final
2020-04-18 09:46:11	ga_ls8c_ard_3-1-0_094088_2020-04-18_final
2020-04-20 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-04-20_final
2020-06-21 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-06-21_final
2020-06-23 09:33:58	ga_ls8c_ard_3-1-0_092088_2020-06-23_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-06-30 09:40:12	ga_ls8c_ard_3-1-0_093088_2020-06-30_final
2020-07-02 09:27:51	ga_ls8c_ard_3-1-0_091088_2020-07-01_final
2020-07-02 09:28:15	ga_ls8c_ard_3-1-0_091089_2020-07-01_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-07-04 09:15:54	ga_ls8c_ard_3-1-0_089089_2020-07-03_final
2020-07-20 09:15:36	ga_ls8c_ard_3-1-0_089088_2020-07-19_final
2020-07-20 09:16:00	ga_ls8c_ard_3-1-0_089089_2020-07-19_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-06 09:16:18	ga_ls8c_ard_3-1-0_089089_2020-09-05_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