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
2015-04-16 09:27:51	ga_ls8c_ard_3-0-0_091089_2015-04-15_final
2015-04-18 09:15:29	ga_ls8c_ard_3-0-0_089089_2015-04-17_final
2015-04-23 09:34:00	ga_ls8c_ard_3-0-0_092089_2015-04-23_final
2015-04-25 09:21:37	ga_ls8c_ard_3-0-0_090089_2015-04-24_final
2015-05-02 09:27:41	ga_ls8c_ard_3-0-0_091089_2015-05-01_final
2015-05-04 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-05-03_final
2015-05-09 09:33:44	ga_ls8c_ard_3-0-0_092089_2015-05-09_final
2015-05-11 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-10_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-18 09:27:30	ga_ls8c_ard_3-0-0_091089_2015-05-17_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-03 09:27:37	ga_ls8c_ard_3-0-0_091089_2015-06-02_final
2015-06-05 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-06-04_final
2015-06-10 09:33:29	ga_ls8c_ard_3-0-0_092088_2015-06-10_final
2015-06-10 09:33:53	ga_ls8c_ard_3-0-0_092089_2015-06-10_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-19 09:27:46	ga_ls8c_ard_3-0-0_091089_2015-06-18_final
2015-06-21 09:15:25	ga_ls8c_ard_3-0-0_089089_2015-06-20_final
2015-06-26 09:33:58	ga_ls8c_ard_3-0-0_092089_2015-06-26_final
2015-06-28 09:21:39	ga_ls8c_ard_3-0-0_090089_2015-06-27_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-07-12 09:34:10	ga_ls8c_ard_3-0-0_092089_2015-07-12_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-07-23 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-07-22_final
2015-07-28 09:34:15	ga_ls8c_ard_3-0-0_092089_2015-07-28_final
2015-07-30 09:21:54	ga_ls8c_ard_3-0-0_090089_2015-07-29_final
2015-08-06 09:28:05	ga_ls8c_ard_3-0-0_091089_2015-08-05_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-11 09:46:17	ga_ls8c_ard_3-0-0_094088_2015-08-11_final
2015-08-13 09:34:20	ga_ls8c_ard_3-0-0_092089_2015-08-13_final
2015-08-15 09:22:00	ga_ls8c_ard_3-0-0_090089_2015-08-14_final
2016-11-28 09:28:48	ga_ls8c_ard_3-0-0_091089_2016-11-27_final
2016-11-30 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-11-29_final
2016-12-07 09:22:36	ga_ls8c_ard_3-0-0_090089_2016-12-06_final
2016-12-14 09:28:45	ga_ls8c_ard_3-0-0_091089_2016-12-13_final
2016-12-16 09:16:22	ga_ls8c_ard_3-0-0_089089_2016-12-15_final
2016-12-21 09:34:53	ga_ls8c_ard_3-0-0_092089_2016-12-21_final
2016-12-23 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-12-22_final
2016-12-30 09:28:42	ga_ls8c_ard_3-0-0_091089_2016-12-29_final
2017-01-01 09:16:20	ga_ls8c_ard_3-0-0_089089_2016-12-31_final
2017-01-06 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-01-06_final
2017-01-08 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-01-07_final
2017-01-15 09:28:38	ga_ls8c_ard_3-0-0_091089_2017-01-14_final
2017-01-17 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-01-16_final
2017-01-22 09:34:46	ga_ls8c_ard_3-0-0_092089_2017-01-22_final
2017-01-24 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-01-23_final
2017-01-31 09:28:31	ga_ls8c_ard_3-0-0_091089_2017-01-30_final
2017-02-02 09:16:08	ga_ls8c_ard_3-0-0_089089_2017-02-01_final
2017-02-07 09:34:38	ga_ls8c_ard_3-0-0_092089_2017-02-07_final
2017-02-09 09:22:15	ga_ls8c_ard_3-0-0_090089_2017-02-08_final
2017-02-16 09:28:24	ga_ls8c_ard_3-0-0_091089_2017-02-15_final
2017-02-18 09:16:02	ga_ls8c_ard_3-0-0_089089_2017-02-17_final
2017-02-23 09:34:33	ga_ls8c_ard_3-0-0_092089_2017-02-23_final
2017-02-25 09:22:10	ga_ls8c_ard_3-0-0_090089_2017-02-24_final
2017-03-04 09:28:18	ga_ls8c_ard_3-0-0_091089_2017-03-03_final
2017-03-06 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-03-05_final
2017-03-11 09:34:25	ga_ls8c_ard_3-0-0_092089_2017-03-11_final
2017-03-13 09:22:02	ga_ls8c_ard_3-0-0_090089_2017-03-12_final
2018-05-26 09:27:20	ga_ls8c_ard_3-0-0_091089_2018-05-25_final
2018-06-27 09:27:29	ga_ls8c_ard_3-0-0_091089_2018-06-26_final
2018-07-29 09:27:44	ga_ls8c_ard_3-0-0_091089_2018-07-28_final
2018-08-30 09:28:01	ga_ls8c_ard_3-0-0_091089_2018-08-29_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-01-01 09:22:30	ga_ls8c_ard_3-1-0_090089_2019-12-31_final
2020-01-15 09:34:49	ga_ls8c_ard_3-1-0_092089_2020-01-15_final
2020-01-17 09:22:27	ga_ls8c_ard_3-1-0_090089_2020-01-16_final
2020-02-11 09:16:09	ga_ls8c_ard_3-1-0_089089_2020-02-10_final
2020-02-16 09:34:41	ga_ls8c_ard_3-1-0_092089_2020-02-16_final
2020-02-25 09:28:27	ga_ls8c_ard_3-1-0_091089_2020-02-24_final
2020-03-05 09:22:13	ga_ls8c_ard_3-1-0_090089_2020-03-04_final
2020-03-12 09:28:21	ga_ls8c_ard_3-1-0_091089_2020-03-11_final
2020-03-28 09:28:12	ga_ls8c_ard_3-1-0_091089_2020-03-27_final
2020-03-30 09:15:49	ga_ls8c_ard_3-1-0_089089_2020-03-29_final
2020-04-06 09:21:57	ga_ls8c_ard_3-1-0_090089_2020-04-05_final
2020-04-22 09:21:50	ga_ls8c_ard_3-1-0_090089_2020-04-21_final
2020-04-29 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-04-28_final
2020-05-15 09:27:53	ga_ls8c_ard_3-1-0_091089_2020-05-14_final
2020-05-31 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-05-30_final
2020-06-02 09:15:37	ga_ls8c_ard_3-1-0_089089_2020-06-01_final
2020-06-05 09:46:09	ga_ls8c_ard_3-1-0_094088_2020-06-05_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2023-01-07 09:35:03	ga_ls8c_ard_3-2-1_092089_2023-01-07_final
2023-01-16 09:28:46	ga_ls8c_ard_3-2-1_091089_2023-01-15_final
2023-02-01 09:28:51	ga_ls8c_ard_3-2-1_091089_2023-01-31_final
2023-02-03 09:16:29	ga_ls8c_ard_3-2-1_089089_2023-02-02_final
2023-03-07 09:16:06	ga_ls8c_ard_3-2-1_089089_2023-03-06_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-08-28 09:28:28	ga_ls8c_ard_3-2-1_091089_2023-08-27_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