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
2015-06-24 09:45:32	ga_ls8c_ard_3-0-0_094087_2015-06-24_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-06-29 10:03:43	ga_ls8c_ard_3-0-0_097086_2015-06-29_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-12 09:32:58	ga_ls8c_ard_3-0-0_092086_2015-07-12_final
2015-07-12 09:33:22	ga_ls8c_ard_3-0-0_092087_2015-07-12_final
2015-07-14 09:20:38	ga_ls8c_ard_3-0-0_090086_2015-07-13_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-15 10:03:54	ga_ls8c_ard_3-0-0_097086_2015-07-15_final
2015-07-22 10:10:07	ga_ls8c_ard_3-0-0_098086_2015-07-22_final
2015-07-23 09:14:54	ga_ls8c_ard_3-0-0_089087_2015-07-22_final
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-07-24 09:58:10	ga_ls8c_ard_3-0-0_096087_2015-07-24_final
2015-08-02 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-08-02_final
2015-08-02 09:52:01	ga_ls8c_ard_3-0-0_095087_2015-08-02_final
2015-08-11 09:45:53	ga_ls8c_ard_3-0-0_094087_2015-08-11_final
2015-08-13 09:33:08	ga_ls8c_ard_3-0-0_092086_2015-08-13_final
2015-08-13 09:33:32	ga_ls8c_ard_3-0-0_092087_2015-08-13_final
2015-08-15 09:21:12	ga_ls8c_ard_3-0-0_090087_2015-08-14_final
2015-08-27 09:46:00	ga_ls8c_ard_3-0-0_094087_2015-08-27_final
2015-08-29 09:33:39	ga_ls8c_ard_3-0-0_092087_2015-08-29_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-10 09:58:03	ga_ls8c_ard_3-0-0_096086_2015-09-10_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-17 10:04:18	ga_ls8c_ard_3-0-0_097086_2015-09-17_final
2015-09-19 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-09-19_final
2015-09-19 09:52:21	ga_ls8c_ard_3-0-0_095087_2015-09-19_final
2015-09-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2015-09-26_final
2015-09-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2015-09-26_final
2015-09-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-09-28_final
2015-09-30 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-09-30_final
2015-10-02 09:21:06	ga_ls8c_ard_3-0-0_090086_2015-10-01_final
2015-10-02 09:21:30	ga_ls8c_ard_3-0-0_090087_2015-10-01_final
2015-10-09 09:27:41	ga_ls8c_ard_3-0-0_091087_2015-10-08_final
2015-10-11 09:15:19	ga_ls8c_ard_3-0-0_089087_2015-10-10_final
2015-10-12 09:58:35	ga_ls8c_ard_3-0-0_096087_2015-10-12_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-10-14_final
2015-10-16 09:33:51	ga_ls8c_ard_3-0-0_092087_2015-10-16_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-11-15 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-11-15_final
2015-11-17 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-17_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-01-29 09:27:44	ga_ls8c_ard_3-0-0_091087_2016-01-28_final
2019-02-02 09:52:09	ga_ls8c_ard_3-0-0_095087_2019-02-02_final
2019-02-20 09:39:21	ga_ls8c_ard_3-0-0_093086_2019-02-20_final
2019-02-20 09:39:45	ga_ls8c_ard_3-0-0_093087_2019-02-20_final
2019-02-22 09:27:23	ga_ls8c_ard_3-0-0_091087_2019-02-21_final
2019-03-17 09:33:26	ga_ls8c_ard_3-1-0_092087_2019-03-17_final
2019-03-24 09:39:36	ga_ls8c_ard_3-1-0_093087_2019-03-24_final
2019-03-26 09:27:14	ga_ls8c_ard_3-1-0_091087_2019-03-25_final
2019-03-29 09:58:07	ga_ls8c_ard_3-1-0_096087_2019-03-29_final
2019-04-11 09:27:09	ga_ls8c_ard_3-1-0_091087_2019-04-10_final
2019-05-04 09:33:18	ga_ls8c_ard_3-0-0_092087_2019-05-04_final
2019-05-06 09:20:33	ga_ls8c_ard_3-0-0_090086_2019-05-05_final
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-07 10:03:50	ga_ls8c_ard_3-0-0_097086_2019-05-07_final
2019-05-09 09:51:30	ga_ls8c_ard_3-0-0_095086_2019-05-09_final
2019-05-09 09:51:54	ga_ls8c_ard_3-0-0_095087_2019-05-09_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-05-13 09:26:49	ga_ls8c_ard_3-0-0_091086_2019-05-12_final
2019-05-13 09:27:13	ga_ls8c_ard_3-0-0_091087_2019-05-12_final
2019-05-18 09:45:49	ga_ls8c_ard_3-0-0_094087_2019-05-18_final
2019-05-22 09:20:44	ga_ls8c_ard_3-0-0_090086_2019-05-21_final
2019-05-22 09:21:08	ga_ls8c_ard_3-0-0_090087_2019-05-21_final
2019-05-23 10:04:00	ga_ls8c_ard_3-0-0_097086_2019-05-23_final
2019-05-27 09:39:19	ga_ls8c_ard_3-0-0_093086_2019-05-27_final
2019-05-27 09:39:43	ga_ls8c_ard_3-0-0_093087_2019-05-27_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-10-18 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-10-18_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2019-12-05 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-12-05_final
2022-08-25 09:28:12	ga_ls8c_ard_3-2-1_091087_2022-08-24_final
2022-08-30 09:46:21	ga_ls8c_ard_3-2-1_094086_2022-08-30_final
2022-08-30 09:46:45	ga_ls8c_ard_3-2-1_094087_2022-08-30_final
2022-09-01 09:34:23	ga_ls8c_ard_3-2-1_092087_2022-09-01_final
2022-09-03 09:22:01	ga_ls8c_ard_3-2-1_090087_2022-09-02_final
2022-09-06 09:52:33	ga_ls8c_ard_3-2-1_095086_2022-09-06_final
2022-09-06 09:52:57	ga_ls8c_ard_3-2-1_095087_2022-09-06_final
2022-09-08 09:40:37	ga_ls8c_ard_3-2-1_093087_2022-09-08_final
2022-09-13 09:58:47	ga_ls8c_ard_3-2-1_096086_2022-09-13_final
2022-09-19 09:22:08	ga_ls8c_ard_3-2-1_090087_2022-09-18_final
2022-09-29 09:58:49	ga_ls8c_ard_3-2-1_096086_2022-09-29_final
2022-10-01 09:46:51	ga_ls8c_ard_3-2-1_094087_2022-10-01_final
2022-10-03 09:34:28	ga_ls8c_ard_3-2-1_092087_2022-10-03_final
2022-10-05 09:22:06	ga_ls8c_ard_3-2-1_090087_2022-10-04_final
2022-10-19 09:34:24	ga_ls8c_ard_3-2-1_092087_2022-10-19_final
2022-10-21 09:22:04	ga_ls8c_ard_3-2-1_090087_2022-10-20_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