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
2015-01-17 11:06:22	ga_ls8c_ard_3-0-0_108071_2015-01-17_final
2015-01-18 10:10:44	ga_ls8c_ard_3-0-0_099071_2015-01-18_final
2015-01-19 10:53:59	ga_ls8c_ard_3-0-0_106071_2015-01-19_final
2015-02-16 09:39:38	ga_ls8c_ard_3-0-0_094071_2015-02-16_final
2015-02-16 11:18:31	ga_ls8c_ard_3-0-0_110071_2015-02-16_final
2015-02-17 10:22:54	ga_ls8c_ard_3-0-0_101071_2015-02-17_final
2015-02-18 11:06:10	ga_ls8c_ard_3-0-0_108071_2015-02-18_final
2015-02-19 10:10:32	ga_ls8c_ard_3-0-0_099071_2015-02-19_final
2015-02-20 10:53:48	ga_ls8c_ard_3-0-0_106071_2015-02-20_final
2015-02-28 10:04:19	ga_ls8c_ard_3-1-0_098071_2015-02-28_final
2015-03-01 10:47:35	ga_ls8c_ard_3-0-0_105071_2015-03-01_final
2015-03-13 09:33:14	ga_ls8c_ard_3-0-0_093071_2015-03-13_final
2015-03-13 11:12:07	ga_ls8c_ard_3-0-0_109071_2015-03-13_final
2015-03-14 10:16:30	ga_ls8c_ard_3-0-0_100071_2015-03-14_final
2015-03-15 10:59:46	ga_ls8c_ard_3-0-0_107071_2015-03-15_final
2015-03-16 10:04:08	ga_ls8c_ard_3-1-0_098071_2015-03-16_final
2015-03-17 10:47:24	ga_ls8c_ard_3-0-0_105071_2015-03-17_final
2015-03-18 09:51:46	ga_ls8c_ard_3-0-0_096071_2015-03-18_final
2015-03-18 11:30:39	ga_ls8c_ard_3-0-0_112071_2015-03-18_final
2015-03-29 09:33:07	ga_ls8c_ard_3-0-0_093071_2015-03-29_final
2015-03-29 11:12:00	ga_ls8c_ard_3-0-0_109071_2015-03-29_final
2015-03-30 10:16:21	ga_ls8c_ard_3-0-0_100071_2015-03-30_final
2015-03-31 10:59:36	ga_ls8c_ard_3-0-0_107071_2015-03-31_final
2015-04-01 10:03:57	ga_ls8c_ard_3-1-0_098071_2015-04-01_final
2015-04-02 10:47:12	ga_ls8c_ard_3-0-0_105071_2015-04-02_final
2015-04-03 11:30:26	ga_ls8c_ard_3-0-0_112071_2015-04-03_final
2015-04-12 09:45:23	ga_ls8c_ard_3-0-0_095071_2015-04-12_final
2015-04-12 11:24:16	ga_ls8c_ard_3-0-0_111071_2015-04-12_final
2015-04-13 10:28:39	ga_ls8c_ard_3-0-0_102071_2015-04-13_final
2015-04-24 10:10:04	ga_ls8c_ard_3-0-0_099071_2015-04-24_final
2015-04-25 10:53:19	ga_ls8c_ard_3-0-0_106071_2015-04-25_final
2015-04-26 09:57:40	ga_ls8c_ard_3-0-0_097071_2015-04-26_final
2015-04-27 10:40:55	ga_ls8c_ard_3-0-0_104071_2015-04-27_final
2015-04-28 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-04-28_final
2015-04-28 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-04-28_final
2015-04-29 10:28:32	ga_ls8c_ard_3-0-0_102071_2015-04-29_final
2015-05-12 09:57:24	ga_ls8c_ard_3-0-0_097071_2015-05-12_final
2015-05-13 10:40:39	ga_ls8c_ard_3-0-0_104071_2015-05-13_final
2015-05-14 09:45:01	ga_ls8c_ard_3-0-0_095071_2015-05-14_final
2015-05-14 11:23:54	ga_ls8c_ard_3-0-0_111071_2015-05-14_final
2015-05-15 10:27:52	ga_ls8c_ard_3-0-0_102070_2015-05-15_final
2015-05-15 10:28:16	ga_ls8c_ard_3-0-0_102071_2015-05-15_final
2015-06-11 10:09:35	ga_ls8c_ard_3-0-0_099070_2015-06-11_final
2015-06-11 10:09:59	ga_ls8c_ard_3-0-0_099071_2015-06-11_final
2015-06-12 10:52:51	ga_ls8c_ard_3-0-0_106070_2015-06-12_final
2015-06-12 10:53:15	ga_ls8c_ard_3-0-0_106071_2015-06-12_final
2015-06-13 09:57:14	ga_ls8c_ard_3-0-0_097070_2015-06-13_final
2015-06-13 09:57:38	ga_ls8c_ard_3-0-0_097071_2015-06-13_final
2015-06-14 10:40:54	ga_ls8c_ard_3-0-0_104071_2015-06-14_final
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-06-15 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-06-15_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-15 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-06-15_final
2015-06-16 10:28:09	ga_ls8c_ard_3-0-0_102070_2015-06-16_final
2015-06-16 10:28:33	ga_ls8c_ard_3-0-0_102071_2015-06-16_final
2019-08-06 09:39:54	ga_ls8c_ard_3-1-0_094071_2019-08-06_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-08-06 11:18:48	ga_ls8c_ard_3-1-0_110071_2019-08-06_final
2019-08-07 10:23:11	ga_ls8c_ard_3-1-0_101071_2019-08-07_final
2019-08-08 09:27:34	ga_ls8c_ard_3-1-0_092071_2019-08-07_final
2019-08-08 11:06:03	ga_ls8c_ard_3-1-0_108070_2019-08-08_final
2019-08-08 11:06:27	ga_ls8c_ard_3-1-0_108071_2019-08-08_final
2019-08-09 10:10:50	ga_ls8c_ard_3-1-0_099071_2019-08-09_final
2019-08-10 10:54:06	ga_ls8c_ard_3-1-0_106071_2019-08-10_final
2019-10-12 10:10:43	ga_ls8c_ard_3-1-0_099070_2019-10-12_final
2019-10-12 10:11:07	ga_ls8c_ard_3-1-0_099071_2019-10-12_final
2019-10-13 10:54:22	ga_ls8c_ard_3-1-0_106071_2019-10-13_final
2021-01-05 10:41:53	ga_ls8c_ard_3-2-0_104071_2021-01-05_final
2021-01-06 09:46:15	ga_ls8c_ard_3-2-0_095071_2021-01-06_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-07 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-01-07_final
2021-03-06 11:06:17	ga_ls8c_ard_3-2-0_108071_2021-03-06_final
2021-03-07 10:10:39	ga_ls8c_ard_3-2-0_099071_2021-03-07_final
2021-03-08 10:53:55	ga_ls8c_ard_3-2-0_106071_2021-03-08_final
2021-03-09 09:58:17	ga_ls8c_ard_3-2-0_097071_2021-03-09_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-11 09:45:54	ga_ls8c_ard_3-2-0_095071_2021-03-11_final
2021-03-11 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-03-11_final
2021-03-12 10:29:09	ga_ls8c_ard_3-2-0_102071_2021-03-12_final
2021-03-17 10:47:38	ga_ls8c_ard_3-2-0_105071_2021-03-17_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-03-18 11:30:53	ga_ls8c_ard_3-2-0_112071_2021-03-18_final
2021-03-19 10:35:16	ga_ls8c_ard_3-2-0_103071_2021-03-19_final
2021-03-20 09:39:38	ga_ls8c_ard_3-2-0_094071_2021-03-20_final
2021-03-27 11:24:41	ga_ls8c_ard_3-2-0_111071_2021-03-27_final
2021-03-28 10:29:03	ga_ls8c_ard_3-2-0_102071_2021-03-28_final
2021-03-29 09:33:26	ga_ls8c_ard_3-2-0_093071_2021-03-29_final
2021-03-29 11:12:19	ga_ls8c_ard_3-2-0_109071_2021-03-29_final
2021-03-30 10:16:41	ga_ls8c_ard_3-2-0_100071_2021-03-30_final
2021-04-01 10:04:19	ga_ls8c_ard_3-2-0_098071_2021-04-01_final
2021-05-17 10:16:31	ga_ls8c_ard_3-2-0_100071_2021-05-17_final
2021-05-19 10:03:46	ga_ls8c_ard_3-2-0_098070_2021-05-19_final
2021-05-19 10:04:10	ga_ls8c_ard_3-2-0_098071_2021-05-19_final
2021-05-20 10:47:27	ga_ls8c_ard_3-2-0_105071_2021-05-20_final
2021-06-05 10:47:35	ga_ls8c_ard_3-2-0_105071_2021-06-05_final
2021-06-06 09:51:58	ga_ls8c_ard_3-2-0_096071_2021-06-06_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-06 11:30:51	ga_ls8c_ard_3-2-0_112071_2021-06-06_final
2021-06-07 10:34:50	ga_ls8c_ard_3-2-0_103070_2021-06-07_final
2021-06-07 10:35:14	ga_ls8c_ard_3-2-0_103071_2021-06-07_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