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
2013-04-15 09:47:38	ga_ls8c_ard_3-0-0_094086_2013-04-15_final
2013-04-17 09:35:16	ga_ls8c_ard_3-0-0_092086_2013-04-17_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-06-04 09:35:30	ga_ls8c_ard_3-0-0_092086_2013-06-04_final
2013-06-13 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-06-12_final
2013-07-11 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-07-11_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-09-01 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-08-31_final
2013-09-03 09:16:57	ga_ls8c_ard_3-0-0_089086_2013-09-02_final
2013-09-26 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-09-25_final
2013-09-29 09:53:52	ga_ls8c_ard_3-0-0_095086_2013-09-29_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-22 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-10-22_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-06 09:16:39	ga_ls8c_ard_3-0-0_089086_2013-11-05_final
2013-11-09 09:47:33	ga_ls8c_ard_3-0-0_094086_2013-11-09_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2013-11-25 09:47:25	ga_ls8c_ard_3-0-0_094086_2013-11-25_final
2013-11-27 09:35:04	ga_ls8c_ard_3-0-0_092086_2013-11-27_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2013-12-11 09:47:24	ga_ls8c_ard_3-0-0_094086_2013-12-11_final
2013-12-13 09:35:01	ga_ls8c_ard_3-0-0_092086_2013-12-13_final
2013-12-15 09:22:38	ga_ls8c_ard_3-0-0_090086_2013-12-14_final
2014-01-03 09:53:22	ga_ls8c_ard_3-0-0_095086_2014-01-03_final
2014-01-05 09:40:59	ga_ls8c_ard_3-0-0_093086_2014-01-05_final
2014-01-07 09:28:35	ga_ls8c_ard_3-0-0_091086_2014-01-06_final
2014-01-09 09:16:11	ga_ls8c_ard_3-0-0_089086_2014-01-08_final
2014-01-10 09:59:26	ga_ls8c_ard_3-0-0_096086_2014-01-10_final
2018-10-24 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-10-24_final
2018-10-25 10:16:12	ga_ls8c_ard_3-0-0_099085_2018-10-25_final
2018-10-26 09:20:35	ga_ls8c_ard_3-0-0_090085_2018-10-25_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-27 10:04:15	ga_ls8c_ard_3-0-0_097086_2018-10-27_final
2020-10-02 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-10-02_final
2020-10-04 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-10-04_final
2020-10-06 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-05_final
2020-10-06 11:06:05	ga_ls8c_ard_3-1-0_107085_2020-10-06_final
2020-10-18 09:52:20	ga_ls8c_ard_3-1-0_095086_2020-10-18_final
2020-10-20 09:39:58	ga_ls8c_ard_3-1-0_093086_2020-10-20_final
2020-10-20 11:18:27	ga_ls8c_ard_3-1-0_109085_2020-10-20_final
2020-10-21 10:22:50	ga_ls8c_ard_3-1-0_100085_2020-10-21_final
2020-10-22 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-21_final
2020-10-22 11:06:05	ga_ls8c_ard_3-1-0_107085_2020-10-22_final
2020-10-27 09:46:08	ga_ls8c_ard_3-1-0_094086_2020-10-27_final
2020-10-29 09:33:46	ga_ls8c_ard_3-1-0_092086_2020-10-29_final
2020-10-29 11:12:15	ga_ls8c_ard_3-1-0_108085_2020-10-29_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2020-11-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2020-11-01_final
2020-11-10 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-11-10_final
2020-11-12 09:46:05	ga_ls8c_ard_3-1-0_094086_2020-11-12_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-17 10:04:39	ga_ls8c_ard_3-1-0_097086_2020-11-17_final
2020-11-21 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-11-21_final
2020-11-24 10:10:52	ga_ls8c_ard_3-1-0_098086_2020-11-24_final
2020-11-25 09:15:14	ga_ls8c_ard_3-1-0_089086_2020-11-24_final
2020-12-03 10:04:42	ga_ls8c_ard_3-1-0_097086_2020-12-03_final
2020-12-05 09:52:21	ga_ls8c_ard_3-1-0_095086_2020-12-05_final
2020-12-07 09:39:59	ga_ls8c_ard_3-1-0_093086_2020-12-07_final
2020-12-09 09:27:37	ga_ls8c_ard_3-1-0_091086_2020-12-08_final
2020-12-16 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-12-16_final
2020-12-18 09:21:26	ga_ls8c_ard_3-2-0_090086_2020-12-17_final
2020-12-23 09:39:57	ga_ls8c_ard_3-2-0_093086_2020-12-23_final
2020-12-25 09:27:35	ga_ls8c_ard_3-2-0_091086_2020-12-24_final
2020-12-26 10:10:51	ga_ls8c_ard_3-2-0_098086_2020-12-26_final
2020-12-27 09:15:13	ga_ls8c_ard_3-2-0_089086_2020-12-26_final
2020-12-28 09:58:28	ga_ls8c_ard_3-2-0_096086_2020-12-28_final
2020-12-30 09:46:06	ga_ls8c_ard_3-2-0_094086_2020-12-30_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-10 09:27:29	ga_ls8c_ard_3-2-0_091086_2021-01-09_final
2021-01-10 11:05:58	ga_ls8c_ard_3-2-0_107085_2021-01-10_final
2021-01-11 10:10:44	ga_ls8c_ard_3-2-0_098086_2021-01-11_final
2021-02-20 09:21:08	ga_ls8c_ard_3-2-0_090086_2021-02-19_final
2021-03-06 09:33:24	ga_ls8c_ard_3-2-0_092086_2021-03-06_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-03-17 09:14:44	ga_ls8c_ard_3-2-0_089086_2021-03-16_final
2021-03-18 09:57:59	ga_ls8c_ard_3-2-0_096086_2021-03-18_final
2021-03-20 09:45:38	ga_ls8c_ard_3-2-0_094086_2021-03-20_final
2021-03-22 09:33:16	ga_ls8c_ard_3-2-0_092086_2021-03-22_final
2021-03-24 09:20:54	ga_ls8c_ard_3-2-0_090086_2021-03-23_final
2021-03-25 10:04:09	ga_ls8c_ard_3-2-0_097086_2021-03-25_final
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-04-14 09:39:20	ga_ls8c_ard_3-2-0_093086_2021-04-14_final
2021-04-18 09:14:35	ga_ls8c_ard_3-2-0_089086_2021-04-17_final
2021-04-19 09:57:50	ga_ls8c_ard_3-2-0_096086_2021-04-19_final
2021-04-21 09:45:27	ga_ls8c_ard_3-2-0_094086_2021-04-21_final
2021-04-23 09:33:04	ga_ls8c_ard_3-2-0_092086_2021-04-23_final
2022-02-21 09:33:29	ga_ls8c_ard_3-2-1_092086_2022-02-21_final
2022-02-23 09:21:07	ga_ls8c_ard_3-2-1_090086_2022-02-22_final
2022-02-26 09:52:01	ga_ls8c_ard_3-2-1_095086_2022-02-26_final
2022-02-28 09:39:39	ga_ls8c_ard_3-2-1_093086_2022-02-28_final
2022-03-04 09:14:55	ga_ls8c_ard_3-2-1_089086_2022-03-03_final
2022-03-05 09:58:11	ga_ls8c_ard_3-2-1_096086_2022-03-05_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