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
2016-08-18 10:04:02	ga_ls8c_ard_3-0-0_097085_2016-08-18_final
2016-08-18 11:42:32	ga_ls8c_ard_3-0-0_113084_2016-08-18_final
2016-08-19 09:08:02	ga_ls8c_ard_3-0-0_088084_2016-08-18_final
2016-09-01 10:16:06	ga_ls8c_ard_3-0-0_099084_2016-09-01_final
2016-09-01 10:16:30	ga_ls8c_ard_3-0-0_099085_2016-09-01_final
2016-09-02 09:20:53	ga_ls8c_ard_3-0-0_090085_2016-09-01_final
2016-09-03 10:03:45	ga_ls8c_ard_3-0-0_097084_2016-09-03_final
2016-09-03 10:04:09	ga_ls8c_ard_3-0-0_097085_2016-09-03_final
2016-09-11 09:14:44	ga_ls8c_ard_3-0-0_089085_2016-09-10_final
2016-09-12 09:57:36	ga_ls8c_ard_3-0-0_096084_2016-09-12_final
2016-09-12 09:58:00	ga_ls8c_ard_3-0-0_096085_2016-09-12_final
2016-09-12 11:36:29	ga_ls8c_ard_3-0-0_112084_2016-09-12_final
2016-09-12 11:36:53	ga_ls8c_ard_3-0-0_112085_2016-09-12_final
2016-09-14 09:45:38	ga_ls8c_ard_3-0-0_094085_2016-09-14_final
2016-09-14 11:24:31	ga_ls8c_ard_3-0-0_110085_2016-09-14_final
2016-09-15 10:28:30	ga_ls8c_ard_3-0-0_101084_2016-09-15_final
2016-09-25 09:27:06	ga_ls8c_ard_3-0-0_091085_2016-09-24_final
2016-09-25 11:05:35	ga_ls8c_ard_3-0-0_107084_2016-09-25_final
2016-09-25 11:05:59	ga_ls8c_ard_3-0-0_107085_2016-09-25_final
2016-10-03 10:16:34	ga_ls8c_ard_3-0-0_099085_2016-10-03_final
2016-10-04 09:20:57	ga_ls8c_ard_3-0-0_090085_2016-10-03_final
2016-10-05 10:04:13	ga_ls8c_ard_3-0-0_097085_2016-10-05_final
2016-10-09 11:18:25	ga_ls8c_ard_3-0-0_109085_2016-10-09_final
2016-10-10 10:22:48	ga_ls8c_ard_3-0-0_100085_2016-10-10_final
2016-10-14 09:58:06	ga_ls8c_ard_3-0-0_096085_2016-10-14_final
2016-10-14 11:36:59	ga_ls8c_ard_3-0-0_112085_2016-10-14_final
2016-10-19 10:16:39	ga_ls8c_ard_3-0-0_099085_2016-10-19_final
2016-10-20 09:21:02	ga_ls8c_ard_3-0-0_090085_2016-10-19_final
2016-10-21 10:03:54	ga_ls8c_ard_3-0-0_097084_2016-10-21_final
2016-10-21 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-10-21_final
2016-10-27 09:27:13	ga_ls8c_ard_3-0-0_091085_2016-10-26_final
2016-10-27 11:06:06	ga_ls8c_ard_3-0-0_107085_2016-10-27_final
2016-10-28 10:10:29	ga_ls8c_ard_3-0-0_098085_2016-10-28_final
2016-10-29 09:14:52	ga_ls8c_ard_3-0-0_089085_2016-10-28_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2016-11-01 09:45:46	ga_ls8c_ard_3-0-0_094085_2016-11-01_final
2016-11-01 11:24:39	ga_ls8c_ard_3-0-0_110085_2016-11-01_final
2016-11-08 09:51:55	ga_ls8c_ard_3-0-0_095085_2016-11-08_final
2016-11-08 11:30:48	ga_ls8c_ard_3-0-0_111085_2016-11-08_final
2016-11-10 09:39:33	ga_ls8c_ard_3-0-0_093085_2016-11-10_final
2016-11-10 11:18:26	ga_ls8c_ard_3-0-0_109085_2016-11-10_final
2016-11-11 10:22:49	ga_ls8c_ard_3-0-0_100085_2016-11-11_final
2016-11-12 09:27:12	ga_ls8c_ard_3-0-0_091085_2016-11-11_final
2016-11-12 11:06:05	ga_ls8c_ard_3-0-0_107085_2016-11-12_final
2016-11-17 09:45:45	ga_ls8c_ard_3-0-0_094085_2016-11-17_final
2016-11-17 11:24:38	ga_ls8c_ard_3-0-0_110085_2016-11-17_final
2016-11-19 09:33:23	ga_ls8c_ard_3-0-0_092085_2016-11-19_final
2016-11-19 11:12:16	ga_ls8c_ard_3-0-0_108085_2016-11-19_final
2016-11-20 10:16:39	ga_ls8c_ard_3-0-0_099085_2016-11-20_final
2016-11-21 09:21:02	ga_ls8c_ard_3-0-0_090085_2016-11-20_final
2016-11-22 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-11-22_final
2017-10-21 09:33:21	ga_ls8c_ard_3-0-0_092085_2017-10-21_final
2017-10-21 11:12:14	ga_ls8c_ard_3-0-0_108085_2017-10-21_final
2017-10-22 10:16:37	ga_ls8c_ard_3-0-0_099085_2017-10-22_final
2017-10-23 09:21:00	ga_ls8c_ard_3-0-0_090085_2017-10-22_final
2017-10-24 10:04:15	ga_ls8c_ard_3-0-0_097085_2017-10-24_final
2017-11-22 09:33:15	ga_ls8c_ard_3-0-0_092085_2017-11-22_final
2017-11-22 11:12:08	ga_ls8c_ard_3-0-0_108085_2017-11-22_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-25 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-11-25_final
2017-12-08 09:33:12	ga_ls8c_ard_3-0-0_092085_2017-12-08_final
2017-12-08 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-12-08_final
2017-12-09 10:16:27	ga_ls8c_ard_3-0-0_099085_2017-12-09_final
2017-12-10 09:20:50	ga_ls8c_ard_3-0-0_090085_2017-12-09_final
2017-12-11 10:04:06	ga_ls8c_ard_3-0-0_097085_2017-12-11_final
2018-01-02 09:27:01	ga_ls8c_ard_3-0-0_091085_2018-01-01_final
2018-01-02 11:05:54	ga_ls8c_ard_3-0-0_107085_2018-01-02_final
2018-01-18 09:26:54	ga_ls8c_ard_3-0-0_091085_2018-01-17_final
2018-01-18 11:05:47	ga_ls8c_ard_3-0-0_107085_2018-01-18_final
2019-12-12 09:45:43	ga_ls8c_ard_3-1-0_094085_2019-12-12_final
2019-12-12 11:24:36	ga_ls8c_ard_3-1-0_110085_2019-12-12_final
2019-12-14 09:33:21	ga_ls8c_ard_3-2-0_092085_2019-12-14_final
2019-12-19 09:51:52	ga_ls8c_ard_3-2-0_095085_2019-12-19_final
2019-12-19 11:30:45	ga_ls8c_ard_3-2-0_111085_2019-12-19_final
2019-12-22 10:22:46	ga_ls8c_ard_3-1-0_100085_2019-12-22_final
2019-12-31 10:16:32	ga_ls8c_ard_3-1-0_099085_2019-12-31_final
2020-01-01 09:20:55	ga_ls8c_ard_3-1-0_090085_2019-12-31_final
2020-01-02 10:04:10	ga_ls8c_ard_3-1-0_097085_2020-01-02_final
2020-02-12 09:57:49	ga_ls8c_ard_3-1-0_096085_2020-02-12_final
2020-02-12 11:36:42	ga_ls8c_ard_3-1-0_112085_2020-02-12_final
2020-03-04 10:16:15	ga_ls8c_ard_3-1-0_099085_2020-03-04_final
2020-03-05 09:20:37	ga_ls8c_ard_3-1-0_090085_2020-03-04_final
2020-03-06 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-03-06_final
2020-03-10 11:18:01	ga_ls8c_ard_3-1-0_109085_2020-03-10_final
2020-03-11 10:22:23	ga_ls8c_ard_3-1-0_100085_2020-03-11_final
2020-04-05 10:15:58	ga_ls8c_ard_3-1-0_099085_2020-04-05_final
2020-04-06 09:20:21	ga_ls8c_ard_3-1-0_090085_2020-04-05_final
2020-04-07 10:03:36	ga_ls8c_ard_3-1-0_097085_2020-04-07_final
2020-04-25 09:51:07	ga_ls8c_ard_3-1-0_095085_2020-04-25_final
2020-04-25 11:30:00	ga_ls8c_ard_3-1-0_111085_2020-04-25_final
2020-04-27 09:38:44	ga_ls8c_ard_3-1-0_093085_2020-04-27_final
2020-04-27 11:17:37	ga_ls8c_ard_3-1-0_109085_2020-04-27_final
2020-04-28 10:21:59	ga_ls8c_ard_3-1-0_100085_2020-04-28_final
2022-03-20 09:14:23	ga_ls8c_ard_3-2-1_089085_2022-03-19_final
2022-03-21 09:57:38	ga_ls8c_ard_3-2-1_096085_2022-03-21_final
2022-03-23 09:45:15	ga_ls8c_ard_3-2-1_094085_2022-03-23_final
2022-03-23 11:24:08	ga_ls8c_ard_3-2-1_110085_2022-03-23_final
2022-03-26 10:16:06	ga_ls8c_ard_3-2-1_099085_2022-03-26_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