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
2013-03-31 09:36:14	ga_ls8c_ard_3-0-0_092085_2013-03-31_final
2013-04-01 10:14:49	ga_ls8c_ard_3-0-0_099085_2013-04-01_final
2013-06-06 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-06-05_final
2013-07-02 09:59:21	ga_ls8c_ard_3-0-0_096084_2013-07-02_final
2013-07-02 09:59:45	ga_ls8c_ard_3-0-0_096085_2013-07-02_final
2013-07-02 11:38:14	ga_ls8c_ard_3-0-0_112084_2013-07-02_final
2013-07-04 09:46:59	ga_ls8c_ard_3-0-0_094084_2013-07-04_final
2013-07-04 09:47:23	ga_ls8c_ard_3-0-0_094085_2013-07-04_final
2013-07-04 11:25:52	ga_ls8c_ard_3-0-0_110084_2013-07-04_final
2013-08-09 09:22:18	ga_ls8c_ard_3-0-0_090084_2013-08-08_final
2013-08-09 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-08-08_final
2013-08-10 10:05:34	ga_ls8c_ard_3-0-0_097084_2013-08-10_final
2013-08-10 10:05:58	ga_ls8c_ard_3-0-0_097085_2013-08-10_final
2013-08-12 09:53:12	ga_ls8c_ard_3-0-0_095084_2013-08-12_final
2013-08-12 09:53:36	ga_ls8c_ard_3-0-0_095085_2013-08-12_final
2013-08-12 11:32:05	ga_ls8c_ard_3-0-0_111084_2013-08-12_final
2014-07-07 09:44:51	ga_ls8c_ard_3-0-0_094084_2014-07-07_final
2014-07-07 09:45:14	ga_ls8c_ard_3-0-0_094085_2014-07-07_final
2014-07-07 11:23:44	ga_ls8c_ard_3-0-0_110084_2014-07-07_final
2014-07-09 09:32:30	ga_ls8c_ard_3-0-0_092084_2014-07-09_final
2014-07-09 09:32:54	ga_ls8c_ard_3-0-0_092085_2014-07-09_final
2014-07-09 11:11:23	ga_ls8c_ard_3-0-0_108084_2014-07-09_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-08-24 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-09-20 09:26:59	ga_ls8c_ard_3-0-0_091085_2014-09-19_final
2014-09-20 11:05:28	ga_ls8c_ard_3-0-0_107084_2014-09-20_final
2014-09-21 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-09-21_final
2014-09-21 10:10:14	ga_ls8c_ard_3-0-0_098085_2014-09-21_final
2014-12-28 09:57:26	ga_ls8c_ard_3-0-0_096084_2014-12-28_final
2014-12-28 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-28_final
2014-12-30 09:45:03	ga_ls8c_ard_3-0-0_094084_2014-12-30_final
2014-12-30 09:45:27	ga_ls8c_ard_3-0-0_094085_2014-12-30_final
2015-09-17 10:03:30	ga_ls8c_ard_3-0-0_097084_2015-09-17_final
2015-09-17 10:03:54	ga_ls8c_ard_3-0-0_097085_2015-09-17_final
2015-09-17 11:42:23	ga_ls8c_ard_3-0-0_113084_2015-09-17_final
2015-09-18 09:07:53	ga_ls8c_ard_3-0-0_088084_2015-09-17_final
2015-09-19 09:51:09	ga_ls8c_ard_3-0-0_095084_2015-09-19_final
2015-09-19 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-09-19_final
2015-09-19 11:30:02	ga_ls8c_ard_3-0-0_111084_2015-09-19_final
2015-09-19 11:30:26	ga_ls8c_ard_3-0-0_111085_2015-09-19_final
2015-09-21 09:38:48	ga_ls8c_ard_3-0-0_093084_2015-09-21_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
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 11:05:20	ga_ls8c_ard_3-0-0_107084_2015-09-23_final
2015-09-23 11:05:44	ga_ls8c_ard_3-0-0_107085_2015-09-23_final
2015-10-11 09:14:07	ga_ls8c_ard_3-0-0_089084_2015-10-10_final
2015-10-11 09:14:31	ga_ls8c_ard_3-0-0_089085_2015-10-10_final
2015-10-24 10:22:10	ga_ls8c_ard_3-0-0_100084_2015-10-24_final
2015-10-25 09:26:33	ga_ls8c_ard_3-0-0_091084_2015-10-24_final
2015-10-25 09:26:57	ga_ls8c_ard_3-0-0_091085_2015-10-24_final
2015-10-25 11:05:26	ga_ls8c_ard_3-0-0_107084_2015-10-25_final
2015-10-25 11:05:50	ga_ls8c_ard_3-0-0_107085_2015-10-25_final
2015-11-10 09:26:59	ga_ls8c_ard_3-0-0_091085_2015-11-09_final
2015-11-10 11:05:28	ga_ls8c_ard_3-0-0_107084_2015-11-10_final
2015-11-10 11:05:52	ga_ls8c_ard_3-0-0_107085_2015-11-10_final
2015-11-11 10:09:50	ga_ls8c_ard_3-0-0_098084_2015-11-11_final
2015-11-11 10:10:14	ga_ls8c_ard_3-0-0_098085_2015-11-11_final
2015-11-12 09:14:13	ga_ls8c_ard_3-0-0_089084_2015-11-11_final
2015-11-12 09:14:37	ga_ls8c_ard_3-0-0_089085_2015-11-11_final
2015-11-13 09:57:28	ga_ls8c_ard_3-0-0_096084_2015-11-13_final
2015-11-13 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-11-13_final
2015-11-13 11:36:21	ga_ls8c_ard_3-0-0_112084_2015-11-13_final
2015-11-13 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-11-13_final
2015-11-24 09:38:59	ga_ls8c_ard_3-0-0_093084_2015-11-24_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 11:17:52	ga_ls8c_ard_3-0-0_109084_2015-11-24_final
2015-11-24 11:18:16	ga_ls8c_ard_3-0-0_109085_2015-11-24_final
2015-11-25 10:22:15	ga_ls8c_ard_3-0-0_100084_2015-11-25_final
2015-11-25 10:22:39	ga_ls8c_ard_3-0-0_100085_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 11:05:30	ga_ls8c_ard_3-0-0_107084_2015-11-26_final
2015-11-26 11:05:54	ga_ls8c_ard_3-0-0_107085_2015-11-26_final
2023-08-08 09:51:03	ga_ls8c_ard_3-2-1_095084_2023-08-08_final
2023-08-08 09:51:27	ga_ls8c_ard_3-2-1_095085_2023-08-08_final
2023-08-08 11:29:56	ga_ls8c_ard_3-2-1_111084_2023-08-08_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
2023-08-15 11:36:10	ga_ls8c_ard_3-2-1_112084_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
2023-11-15 10:22:17	ga_ls8c_ard_3-2-1_100084_2023-11-15_final
2023-11-16 09:26:40	ga_ls8c_ard_3-2-1_091084_2023-11-15_final
2023-11-16 09:27:04	ga_ls8c_ard_3-2-1_091085_2023-11-15_final
2023-11-16 11:05:33	ga_ls8c_ard_3-2-1_107084_2023-11-16_final
2023-11-17 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-17_final
2023-11-17 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-17_final
2023-11-18 09:14:20	ga_ls8c_ard_3-2-1_089084_2023-11-17_final
2023-11-18 09:14:44	ga_ls8c_ard_3-2-1_089085_2023-11-17_final
2024-03-10 09:57:38	ga_ls8c_ard_3-2-1_096085_2024-03-10_final
2024-03-10 11:36:07	ga_ls8c_ard_3-2-1_112084_2024-03-10_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