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
2015-01-20 10:03:56	ga_ls8c_ard_3-0-0_097085_2015-01-20_final
2015-01-22 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-01-22_final
2015-03-09 10:03:37	ga_ls8c_ard_3-0-0_097085_2015-03-09_final
2015-03-11 09:51:14	ga_ls8c_ard_3-0-0_095085_2015-03-11_final
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2017-09-01 09:45:31	ga_ls8c_ard_3-0-0_094085_2017-09-01_final
2017-09-01 11:24:24	ga_ls8c_ard_3-0-0_110085_2017-09-01_final
2017-09-03 09:33:10	ga_ls8c_ard_3-0-0_092085_2017-09-03_final
2017-09-03 11:12:03	ga_ls8c_ard_3-0-0_108085_2017-09-03_final
2017-09-10 09:39:20	ga_ls8c_ard_3-0-0_093085_2017-09-10_final
2017-09-10 11:18:13	ga_ls8c_ard_3-0-0_109085_2017-09-10_final
2017-09-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2017-09-11_final
2017-09-12 09:26:59	ga_ls8c_ard_3-0-0_091085_2017-09-11_final
2017-09-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2017-09-12_final
2017-09-19 09:33:12	ga_ls8c_ard_3-0-0_092085_2017-09-19_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2017-09-26 09:39:26	ga_ls8c_ard_3-0-0_093085_2017-09-26_final
2017-09-26 11:18:19	ga_ls8c_ard_3-0-0_109085_2017-09-26_final
2017-09-27 10:22:42	ga_ls8c_ard_3-0-0_100085_2017-09-27_final
2017-09-28 09:27:05	ga_ls8c_ard_3-0-0_091085_2017-09-27_final
2017-09-28 11:05:34	ga_ls8c_ard_3-0-0_107084_2017-09-28_final
2017-09-28 11:05:58	ga_ls8c_ard_3-0-0_107085_2017-09-28_final
2017-10-03 09:45:39	ga_ls8c_ard_3-0-0_094085_2017-10-03_final
2017-10-03 11:24:32	ga_ls8c_ard_3-0-0_110085_2017-10-03_final
2017-10-04 10:28:31	ga_ls8c_ard_3-0-0_101084_2017-10-04_final
2017-10-05 09:33:18	ga_ls8c_ard_3-0-0_092085_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-22 10:16:37	ga_ls8c_ard_3-0-0_099085_2017-10-22_final
2017-10-23 09:20:36	ga_ls8c_ard_3-0-0_090084_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
2017-10-28 09:39:32	ga_ls8c_ard_3-0-0_093085_2017-10-28_final
2017-10-28 11:18:01	ga_ls8c_ard_3-0-0_109084_2017-10-28_final
2017-10-28 11:18:25	ga_ls8c_ard_3-0-0_109085_2017-10-28_final
2017-10-29 10:22:48	ga_ls8c_ard_3-0-0_100085_2017-10-29_final
2017-10-30 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-29_final
2017-10-30 11:05:39	ga_ls8c_ard_3-0-0_107084_2017-10-30_final
2017-10-30 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-30_final
2017-11-13 09:39:29	ga_ls8c_ard_3-0-0_093085_2017-11-13_final
2017-11-13 11:18:22	ga_ls8c_ard_3-0-0_109085_2017-11-13_final
2017-11-14 10:22:45	ga_ls8c_ard_3-0-0_100085_2017-11-14_final
2017-11-15 09:27:07	ga_ls8c_ard_3-0-0_091085_2017-11-14_final
2017-11-15 11:06:00	ga_ls8c_ard_3-0-0_107085_2017-11-15_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
2017-12-15 09:39:24	ga_ls8c_ard_3-0-0_093085_2017-12-15_final
2017-12-15 11:18:17	ga_ls8c_ard_3-0-0_109085_2017-12-15_final
2017-12-16 10:22:40	ga_ls8c_ard_3-0-0_100085_2017-12-16_final
2017-12-17 09:27:03	ga_ls8c_ard_3-0-0_091085_2017-12-16_final
2017-12-17 11:05:56	ga_ls8c_ard_3-0-0_107085_2017-12-17_final
2017-12-25 10:16:30	ga_ls8c_ard_3-0-0_099085_2017-12-25_final
2017-12-26 09:20:52	ga_ls8c_ard_3-0-0_090085_2017-12-25_final
2017-12-27 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-12-27_final
2017-12-31 09:39:23	ga_ls8c_ard_3-0-0_093085_2017-12-31_final
2017-12-31 11:18:16	ga_ls8c_ard_3-0-0_109085_2017-12-31_final
2018-01-01 10:22:39	ga_ls8c_ard_3-0-0_100085_2018-01-01_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
2018-02-03 09:26:44	ga_ls8c_ard_3-0-0_091085_2018-02-02_final
2018-02-03 11:05:37	ga_ls8c_ard_3-0-0_107085_2018-02-03_final
2020-01-06 09:39:26	ga_ls8c_ard_3-1-0_093085_2020-01-06_final
2020-01-06 11:18:19	ga_ls8c_ard_3-1-0_109085_2020-01-06_final
2020-01-07 10:22:42	ga_ls8c_ard_3-1-0_100085_2020-01-07_final
2020-01-08 09:27:04	ga_ls8c_ard_3-1-0_091085_2020-01-07_final
2020-01-08 11:05:57	ga_ls8c_ard_3-1-0_107085_2020-01-08_final
2020-01-22 09:39:23	ga_ls8c_ard_3-1-0_093085_2020-01-22_final
2020-01-22 11:18:16	ga_ls8c_ard_3-1-0_109085_2020-01-22_final
2020-01-23 10:22:38	ga_ls8c_ard_3-1-0_100085_2020-01-23_final
2020-01-24 09:27:00	ga_ls8c_ard_3-1-0_091085_2020-01-23_final
2020-01-24 11:05:53	ga_ls8c_ard_3-1-0_107085_2020-01-24_final
2023-08-14 09:14:01	ga_ls8c_ard_3-2-1_089084_2023-08-13_final
2023-08-14 09:14:25	ga_ls8c_ard_3-2-1_089085_2023-08-13_final
2023-08-15 09:57:17	ga_ls8c_ard_3-2-1_096084_2023-08-15_final
2023-08-15 09:57:41	ga_ls8c_ard_3-2-1_096085_2023-08-15_final
2023-08-17 09:44:57	ga_ls8c_ard_3-2-1_094084_2023-08-17_final
2023-08-17 09:45:21	ga_ls8c_ard_3-2-1_094085_2023-08-17_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2023-08-17 11:24:14	ga_ls8c_ard_3-2-1_110085_2023-08-17_final
2024-02-12 10:16:24	ga_ls8c_ard_3-2-1_099085_2024-02-12_final
2024-02-13 09:20:47	ga_ls8c_ard_3-2-1_090085_2024-02-12_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_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
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-25 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-02-25_final
2024-02-27 09:33:04	ga_ls8c_ard_3-2-1_092085_2024-02-27_final
2024-02-28 10:16:19	ga_ls8c_ard_3-2-1_099085_2024-02-28_final
2024-02-29 09:20:17	ga_ls8c_ard_3-2-1_090084_2024-02-28_final
2024-02-29 09:20:41	ga_ls8c_ard_3-2-1_090085_2024-02-28_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
2024-03-19 09:51:22	ga_ls8c_ard_3-2-1_095085_2024-03-19_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-03-31 10:15:55	ga_ls8c_ard_3-2-1_099085_2024-03-31_final
2024-04-01 09:20:18	ga_ls8c_ard_3-2-1_090085_2024-03-31_final
2024-04-02 10:03:34	ga_ls8c_ard_3-2-1_097085_2024-04-02_final
2024-04-04 09:51:12	ga_ls8c_ard_3-2-1_095085_2024-04-04_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