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
2016-05-25 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-05-25_final
2016-05-25 09:46:14	ga_ls8c_ard_3-0-0_094088_2016-05-25_final
2016-05-27 09:33:53	ga_ls8c_ard_3-0-0_092088_2016-05-27_final
2016-05-29 09:21:32	ga_ls8c_ard_3-0-0_090088_2016-05-28_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-06-01 09:52:27	ga_ls8c_ard_3-0-0_095088_2016-06-01_final
2016-06-03 09:39:42	ga_ls8c_ard_3-0-0_093087_2016-06-03_final
2016-06-03 09:40:06	ga_ls8c_ard_3-0-0_093088_2016-06-03_final
2016-06-05 09:27:21	ga_ls8c_ard_3-0-0_091087_2016-06-04_final
2016-06-05 09:27:45	ga_ls8c_ard_3-0-0_091088_2016-06-04_final
2016-06-14 09:21:11	ga_ls8c_ard_3-0-0_090087_2016-06-13_final
2016-06-14 09:21:35	ga_ls8c_ard_3-0-0_090088_2016-06-13_final
2016-06-17 09:52:05	ga_ls8c_ard_3-0-0_095087_2016-06-17_final
2016-06-17 09:52:29	ga_ls8c_ard_3-0-0_095088_2016-06-17_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-06-26 09:46:00	ga_ls8c_ard_3-0-0_094087_2016-06-26_final
2016-06-26 09:46:24	ga_ls8c_ard_3-0-0_094088_2016-06-26_final
2016-06-28 09:34:04	ga_ls8c_ard_3-0-0_092088_2016-06-28_final
2016-06-30 09:21:19	ga_ls8c_ard_3-0-0_090087_2016-06-29_final
2016-06-30 09:21:43	ga_ls8c_ard_3-0-0_090088_2016-06-29_final
2016-07-07 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-07-06_final
2016-07-07 09:27:58	ga_ls8c_ard_3-0-0_091088_2016-07-06_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-07-19 09:52:22	ga_ls8c_ard_3-0-0_095087_2016-07-19_final
2016-07-19 09:52:46	ga_ls8c_ard_3-0-0_095088_2016-07-19_final
2016-07-21 09:40:01	ga_ls8c_ard_3-0-0_093087_2016-07-21_final
2016-07-21 09:40:25	ga_ls8c_ard_3-0-0_093088_2016-07-21_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-07-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2016-07-26_final
2016-07-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2016-07-28_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_final
2016-08-01 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-07-31_final
2016-08-01 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-07-31_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-17 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-08-16_final
2016-08-17 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-08-16_final
2016-08-20 09:52:30	ga_ls8c_ard_3-0-0_095087_2016-08-20_final
2016-08-20 09:52:54	ga_ls8c_ard_3-0-0_095088_2016-08-20_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-08-26 09:15:51	ga_ls8c_ard_3-0-0_089088_2016-08-25_final
2016-08-27 09:58:43	ga_ls8c_ard_3-0-0_096087_2016-08-27_final
2016-09-02 09:22:05	ga_ls8c_ard_3-0-0_090088_2016-09-01_final
2016-09-14 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-14_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-09-16 09:34:29	ga_ls8c_ard_3-0-0_092088_2016-09-16_final
2016-09-21 09:52:38	ga_ls8c_ard_3-0-0_095087_2016-09-21_final
2016-09-21 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-09-21_final
2016-09-23 09:40:16	ga_ls8c_ard_3-0-0_093087_2016-09-23_final
2016-09-23 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-09-23_final
2016-09-27 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-26_final
2016-09-27 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-09-26_final
2016-10-04 09:22:09	ga_ls8c_ard_3-0-0_090088_2016-10-03_final
2016-10-07 09:52:40	ga_ls8c_ard_3-0-0_095087_2016-10-07_final
2016-10-07 09:53:04	ga_ls8c_ard_3-0-0_095088_2016-10-07_final
2016-10-09 09:40:20	ga_ls8c_ard_3-0-0_093087_2016-10-09_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-11 09:28:23	ga_ls8c_ard_3-0-0_091088_2016-10-10_final
2016-10-13 09:15:38	ga_ls8c_ard_3-0-0_089087_2016-10-12_final
2016-10-13 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-10-12_final
2018-02-17 09:40:13	ga_ls8c_ard_3-0-0_093088_2018-02-17_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2020-06-07 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-06-07_final
2020-06-14 09:39:40	ga_ls8c_ard_3-1-0_093087_2020-06-14_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-06-16 09:27:43	ga_ls8c_ard_3-1-0_091088_2020-06-15_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-07-02 09:27:51	ga_ls8c_ard_3-1-0_091088_2020-07-01_final
2020-07-07 09:46:02	ga_ls8c_ard_3-1-0_094087_2020-07-07_final
2020-07-07 09:46:26	ga_ls8c_ard_3-1-0_094088_2020-07-07_final
2020-07-16 09:39:54	ga_ls8c_ard_3-1-0_093087_2020-07-16_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-07-18 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-07-17_final
2020-08-15 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-08-15_final
2020-09-13 09:21:43	ga_ls8c_ard_3-1-0_090087_2020-09-12_final
2020-09-13 09:22:07	ga_ls8c_ard_3-1-0_090088_2020-09-12_final
2020-09-20 09:27:56	ga_ls8c_ard_3-1-0_091087_2020-09-19_final
2020-09-20 09:28:20	ga_ls8c_ard_3-1-0_091088_2020-09-19_final
2020-09-22 09:15:59	ga_ls8c_ard_3-1-0_089088_2020-09-21_final
2020-09-23 09:58:51	ga_ls8c_ard_3-1-0_096087_2020-09-23_final
2020-09-25 09:46:54	ga_ls8c_ard_3-1-0_094088_2020-09-25_final
2020-09-27 09:34:33	ga_ls8c_ard_3-1-0_092088_2020-09-27_final
2020-10-24 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-23_final
2020-10-27 09:46:32	ga_ls8c_ard_3-1-0_094087_2020-10-27_final
2020-10-27 09:46:56	ga_ls8c_ard_3-1-0_094088_2020-10-27_final
2020-10-29 09:34:34	ga_ls8c_ard_3-1-0_092088_2020-10-29_final
2020-11-26 09:58:54	ga_ls8c_ard_3-1-0_096087_2020-11-26_final
2020-11-28 09:46:57	ga_ls8c_ard_3-1-0_094088_2020-11-28_final
2020-11-30 09:34:36	ga_ls8c_ard_3-1-0_092088_2020-11-30_final
2020-12-02 09:22:14	ga_ls8c_ard_3-1-0_090088_2020-12-01_final
2021-07-23 09:15:17	ga_ls8c_ard_3-2-0_089087_2021-07-22_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-07-24 09:58:34	ga_ls8c_ard_3-2-0_096087_2021-07-24_final
2022-01-09 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-01-09_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years