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
2013-09-08 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-09-08_final
2013-09-22 09:48:08	ga_ls8c_ard_3-0-0_094087_2013-09-22_final
2013-09-24 09:35:45	ga_ls8c_ard_3-0-0_092087_2013-09-24_final
2013-09-24 09:36:09	ga_ls8c_ard_3-0-0_092088_2013-09-24_final
2013-09-26 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-09-25_final
2013-09-26 09:23:45	ga_ls8c_ard_3-0-0_090088_2013-09-25_final
2013-09-29 09:54:16	ga_ls8c_ard_3-0-0_095087_2013-09-29_final
2013-10-12 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-10-11_final
2013-10-12 09:23:46	ga_ls8c_ard_3-0-0_090088_2013-10-11_final
2013-10-17 09:41:53	ga_ls8c_ard_3-0-0_093087_2013-10-17_final
2013-10-28 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-10-27_final
2013-11-04 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-11-03_final
2013-11-04 09:29:49	ga_ls8c_ard_3-0-0_091088_2013-11-03_final
2013-11-11 09:35:35	ga_ls8c_ard_3-0-0_092087_2013-11-11_final
2013-11-11 09:35:59	ga_ls8c_ard_3-0-0_092088_2013-11-11_final
2013-11-13 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-11-12_final
2013-12-04 09:41:39	ga_ls8c_ard_3-0-0_093087_2013-12-04_final
2013-12-04 09:42:03	ga_ls8c_ard_3-0-0_093088_2013-12-04_final
2013-12-06 09:29:41	ga_ls8c_ard_3-0-0_091088_2013-12-05_final
2013-12-20 09:41:53	ga_ls8c_ard_3-0-0_093088_2013-12-20_final
2014-01-12 09:47:26	ga_ls8c_ard_3-0-0_094087_2014-01-12_final
2014-01-14 09:35:26	ga_ls8c_ard_3-0-0_092088_2014-01-14_final
2014-01-16 09:23:02	ga_ls8c_ard_3-0-0_090088_2014-01-15_final
2014-01-21 09:41:34	ga_ls8c_ard_3-0-0_093088_2014-01-21_final
2014-01-23 09:29:12	ga_ls8c_ard_3-0-0_091088_2014-01-22_final
2014-01-30 09:35:20	ga_ls8c_ard_3-0-0_092088_2014-01-30_final
2014-02-01 09:22:33	ga_ls8c_ard_3-0-0_090087_2014-01-31_final
2014-02-01 09:22:57	ga_ls8c_ard_3-0-0_090088_2014-01-31_final
2014-02-06 09:41:25	ga_ls8c_ard_3-0-0_093088_2014-02-06_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2018-09-17 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-09-16_final
2018-12-11 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-11_final
2018-12-11 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-11_final
2018-12-13 09:21:21	ga_ls8c_ard_3-0-0_090087_2018-12-12_final
2018-12-13 09:21:45	ga_ls8c_ard_3-0-0_090088_2018-12-12_final
2018-12-27 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-27_final
2018-12-27 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-27_final
2018-12-29 09:21:22	ga_ls8c_ard_3-0-0_090087_2018-12-28_final
2018-12-29 09:21:46	ga_ls8c_ard_3-0-0_090088_2018-12-28_final
2021-06-22 09:58:26	ga_ls8c_ard_3-2-0_096087_2021-06-22_final
2021-06-24 09:46:05	ga_ls8c_ard_3-2-0_094087_2021-06-24_final
2021-06-24 09:46:29	ga_ls8c_ard_3-2-0_094088_2021-06-24_final
2021-06-26 09:33:44	ga_ls8c_ard_3-2-0_092087_2021-06-26_final
2021-06-26 09:34:08	ga_ls8c_ard_3-2-0_092088_2021-06-26_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-06-28 09:21:47	ga_ls8c_ard_3-2-0_090088_2021-06-27_final
2021-07-01 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-07-01_final
2021-07-01 09:52:41	ga_ls8c_ard_3-2-0_095088_2021-07-01_final
2021-07-03 09:39:56	ga_ls8c_ard_3-2-0_093087_2021-07-03_final
2021-07-03 09:40:20	ga_ls8c_ard_3-2-0_093088_2021-07-03_final
2021-07-05 09:27:34	ga_ls8c_ard_3-2-0_091087_2021-07-04_final
2021-07-05 09:27:58	ga_ls8c_ard_3-2-0_091088_2021-07-04_final
2021-07-07 09:15:13	ga_ls8c_ard_3-2-0_089087_2021-07-06_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-07-08 09:58:29	ga_ls8c_ard_3-2-0_096087_2021-07-08_final
2021-07-10 09:46:07	ga_ls8c_ard_3-2-0_094087_2021-07-10_final
2021-07-10 09:46:31	ga_ls8c_ard_3-2-0_094088_2021-07-10_final
2021-07-12 09:33:45	ga_ls8c_ard_3-2-0_092087_2021-07-12_final
2021-07-12 09:34:09	ga_ls8c_ard_3-2-0_092088_2021-07-12_final
2021-07-14 09:21:24	ga_ls8c_ard_3-2-0_090087_2021-07-13_final
2021-07-14 09:21:48	ga_ls8c_ard_3-2-0_090088_2021-07-13_final
2021-07-17 09:52:43	ga_ls8c_ard_3-2-0_095088_2021-07-17_final
2021-07-19 09:39:58	ga_ls8c_ard_3-2-0_093087_2021-07-19_final
2021-07-19 09:40:22	ga_ls8c_ard_3-2-0_093088_2021-07-19_final
2021-07-21 09:27:38	ga_ls8c_ard_3-2-0_091087_2021-07-20_final
2021-07-21 09:28:02	ga_ls8c_ard_3-2-0_091088_2021-07-20_final
2022-05-19 09:39:58	ga_ls8c_ard_3-2-1_093087_2022-05-19_final
2022-05-19 09:40:22	ga_ls8c_ard_3-2-1_093088_2022-05-19_final
2022-05-21 09:27:37	ga_ls8c_ard_3-2-1_091087_2022-05-20_final
2022-05-21 09:28:01	ga_ls8c_ard_3-2-1_091088_2022-05-20_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-06-27 09:46:27	ga_ls8c_ard_3-2-1_094087_2022-06-27_final
2022-06-29 09:34:05	ga_ls8c_ard_3-2-1_092087_2022-06-29_final
2022-06-29 09:34:29	ga_ls8c_ard_3-2-1_092088_2022-06-29_final
2022-07-01 09:21:44	ga_ls8c_ard_3-2-1_090087_2022-06-30_final
2022-07-01 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-06-30_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2024-02-02 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-02_final
2024-02-04 09:27:45	ga_ls8c_ard_3-2-1_091087_2024-02-03_final
2024-02-04 09:28:09	ga_ls8c_ard_3-2-1_091088_2024-02-03_final
2024-02-06 09:15:48	ga_ls8c_ard_3-2-1_089088_2024-02-05_final
2024-02-11 09:34:21	ga_ls8c_ard_3-2-1_092088_2024-02-11_final
2024-02-20 09:27:44	ga_ls8c_ard_3-2-1_091087_2024-02-19_final
2024-02-20 09:28:08	ga_ls8c_ard_3-2-1_091088_2024-02-19_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-03-14 09:34:05	ga_ls8c_ard_3-2-1_092088_2024-03-14_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_final
2024-03-19 09:52:10	ga_ls8c_ard_3-2-1_095087_2024-03-19_final
2024-03-21 09:40:11	ga_ls8c_ard_3-2-1_093088_2024-03-21_final
2024-03-23 09:27:23	ga_ls8c_ard_3-2-1_091087_2024-03-22_final
2024-03-23 09:27:47	ga_ls8c_ard_3-2-1_091088_2024-03-22_final
2024-03-25 09:15:22	ga_ls8c_ard_3-2-1_089088_2024-03-24_final
2024-03-30 09:33:51	ga_ls8c_ard_3-2-1_092088_2024-03-30_final
2024-04-01 09:21:30	ga_ls8c_ard_3-2-1_090088_2024-03-31_final
2024-04-06 09:40:02	ga_ls8c_ard_3-2-1_093088_2024-04-06_final
2024-04-15 09:33:47	ga_ls8c_ard_3-2-1_092088_2024-04-15_final
2024-04-17 09:21:24	ga_ls8c_ard_3-2-1_090088_2024-04-16_final
2024-04-22 09:39:54	ga_ls8c_ard_3-2-1_093088_2024-04-22_nrt
2024-04-24 09:27:31	ga_ls8c_ard_3-2-1_091088_2024-04-23_final
2024-05-01 09:33:36	ga_ls8c_ard_3-2-1_092088_2024-05-01_nrt

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