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
2015-07-03 09:38:39	ga_ls8c_ard_3-0-0_093085_2015-07-03_final
2015-07-03 11:17:08	ga_ls8c_ard_3-0-0_109084_2015-07-03_final
2015-07-03 11:17:32	ga_ls8c_ard_3-0-0_109085_2015-07-03_final
2015-07-04 10:21:31	ga_ls8c_ard_3-0-0_100084_2015-07-04_final
2015-07-04 10:21:55	ga_ls8c_ard_3-0-0_100085_2015-07-04_final
2015-07-05 09:26:19	ga_ls8c_ard_3-0-0_091085_2015-07-04_final
2015-07-05 11:05:12	ga_ls8c_ard_3-0-0_107085_2015-07-05_final
2015-09-02 09:07:45	ga_ls8c_ard_3-0-0_088084_2015-09-01_final
2015-09-03 09:51:00	ga_ls8c_ard_3-0-0_095084_2015-09-03_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-09-03 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-09-03_final
2015-09-21 09:39:12	ga_ls8c_ard_3-0-0_093085_2015-09-21_final
2015-09-21 11:17:41	ga_ls8c_ard_3-0-0_109084_2015-09-21_final
2015-09-21 11:18:05	ga_ls8c_ard_3-0-0_109085_2015-09-21_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 11:05:44	ga_ls8c_ard_3-0-0_107085_2015-09-23_final
2015-11-04 10:03:40	ga_ls8c_ard_3-0-0_097084_2015-11-04_final
2015-11-04 10:04:04	ga_ls8c_ard_3-0-0_097085_2015-11-04_final
2015-11-06 09:51:42	ga_ls8c_ard_3-0-0_095085_2015-11-06_final
2015-11-06 11:30:11	ga_ls8c_ard_3-0-0_111084_2015-11-06_final
2015-11-06 11:30:35	ga_ls8c_ard_3-0-0_111085_2015-11-06_final
2015-11-18 10:16:27	ga_ls8c_ard_3-0-0_099085_2015-11-18_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2015-11-20 10:04:05	ga_ls8c_ard_3-0-0_097085_2015-11-20_final
2015-11-22 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 11:18:16	ga_ls8c_ard_3-0-0_109085_2015-11-24_final
2015-11-25 10:22:39	ga_ls8c_ard_3-0-0_100085_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 11:05:54	ga_ls8c_ard_3-0-0_107085_2015-11-26_final
2015-12-17 09:45:33	ga_ls8c_ard_3-0-0_094085_2015-12-17_final
2015-12-17 11:24:26	ga_ls8c_ard_3-0-0_110085_2015-12-17_final
2015-12-19 09:33:11	ga_ls8c_ard_3-0-0_092085_2015-12-19_final
2015-12-19 11:12:04	ga_ls8c_ard_3-0-0_108085_2015-12-19_final
2015-12-20 10:16:27	ga_ls8c_ard_3-0-0_099085_2015-12-20_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2016-01-05 10:16:23	ga_ls8c_ard_3-0-0_099085_2016-01-05_final
2016-01-06 09:20:46	ga_ls8c_ard_3-0-0_090085_2016-01-05_final
2016-01-07 10:04:01	ga_ls8c_ard_3-0-0_097085_2016-01-07_final
2016-01-09 09:51:39	ga_ls8c_ard_3-0-0_095085_2016-01-09_final
2016-01-09 11:30:32	ga_ls8c_ard_3-0-0_111085_2016-01-09_final
2016-02-06 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-02-06_final
2016-02-07 09:20:42	ga_ls8c_ard_3-0-0_090085_2016-02-06_final
2016-02-19 09:45:18	ga_ls8c_ard_3-0-0_094085_2016-02-19_final
2016-02-19 11:24:11	ga_ls8c_ard_3-0-0_110085_2016-02-19_final
2016-02-21 09:32:56	ga_ls8c_ard_3-0-0_092085_2016-02-21_final
2016-02-21 11:11:49	ga_ls8c_ard_3-0-0_108085_2016-02-21_final
2016-03-13 09:51:26	ga_ls8c_ard_3-0-0_095085_2016-03-13_final
2016-03-13 11:30:19	ga_ls8c_ard_3-0-0_111085_2016-03-13_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2019-04-09 09:38:44	ga_ls8c_ard_3-1-0_093085_2019-04-09_final
2019-04-09 11:17:37	ga_ls8c_ard_3-1-0_109085_2019-04-09_final
2019-04-10 10:21:59	ga_ls8c_ard_3-1-0_100085_2019-04-10_final
2019-04-11 09:26:22	ga_ls8c_ard_3-1-0_091085_2019-04-10_final
2019-04-11 11:05:15	ga_ls8c_ard_3-1-0_107085_2019-04-11_final
2019-06-14 09:26:41	ga_ls8c_ard_3-1-0_091085_2019-06-13_final
2019-06-14 11:05:34	ga_ls8c_ard_3-1-0_107085_2019-06-14_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-16 09:14:20	ga_ls8c_ard_3-1-0_089085_2019-06-15_final
2019-06-17 09:57:36	ga_ls8c_ard_3-1-0_096085_2019-06-17_final
2019-06-17 11:36:30	ga_ls8c_ard_3-1-0_112085_2019-06-17_final
2023-05-02 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-05-02_final
2023-05-04 09:51:02	ga_ls8c_ard_3-2-1_095085_2023-05-04_final
2023-08-24 09:51:35	ga_ls8c_ard_3-2-1_095085_2023-08-24_final
2023-08-26 09:38:50	ga_ls8c_ard_3-2-1_093084_2023-08-26_final
2023-08-26 09:39:14	ga_ls8c_ard_3-2-1_093085_2023-08-26_final
2023-08-30 09:14:07	ga_ls8c_ard_3-2-1_089084_2023-08-29_final
2023-08-30 09:14:31	ga_ls8c_ard_3-2-1_089085_2023-08-29_final
2023-09-14 10:10:11	ga_ls8c_ard_3-2-1_098085_2023-09-14_final
2023-09-15 09:14:10	ga_ls8c_ard_3-2-1_089084_2023-09-14_final
2023-09-15 09:14:34	ga_ls8c_ard_3-2-1_089085_2023-09-14_final
2023-09-16 09:57:26	ga_ls8c_ard_3-2-1_096084_2023-09-16_final
2023-09-16 09:57:50	ga_ls8c_ard_3-2-1_096085_2023-09-16_final
2023-09-18 09:45:29	ga_ls8c_ard_3-2-1_094085_2023-09-18_final
2023-09-18 11:23:58	ga_ls8c_ard_3-2-1_110084_2023-09-18_final
2023-09-18 11:24:22	ga_ls8c_ard_3-2-1_110085_2023-09-18_final
2023-09-20 09:33:07	ga_ls8c_ard_3-2-1_092085_2023-09-20_final
2023-10-09 10:04:06	ga_ls8c_ard_3-2-1_097085_2023-10-09_final
2023-10-13 09:39:24	ga_ls8c_ard_3-2-1_093085_2023-10-13_final
2023-10-15 09:27:02	ga_ls8c_ard_3-2-1_091085_2023-10-14_final
2023-10-15 09:27:02	ga_ls8c_ard_3-2-1_091085_2023-10-14_nrt
2023-10-29 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-10-29_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-11-03 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-11-03_final
2024-01-19 09:26:59	ga_ls8c_ard_3-2-1_091085_2024-01-18_final
2024-01-20 10:10:14	ga_ls8c_ard_3-2-1_098085_2024-01-20_final
2024-01-21 09:14:36	ga_ls8c_ard_3-2-1_089085_2024-01-20_final
2024-02-18 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-18_final
2024-02-20 09:26:56	ga_ls8c_ard_3-2-1_091085_2024-02-19_final
2024-03-01 10:03:55	ga_ls8c_ard_3-2-1_097085_2024-03-01_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-07 09:26:44	ga_ls8c_ard_3-2-1_091085_2024-03-06_final
2024-03-08 10:10:00	ga_ls8c_ard_3-2-1_098085_2024-03-08_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