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
2018-03-08 10:03:47	ga_ls8c_ard_3-0-0_098070_2018-03-08_final
2018-03-09 10:47:02	ga_ls8c_ard_3-0-0_105070_2018-03-09_final
2018-04-09 10:03:31	ga_ls8c_ard_3-0-0_098070_2018-04-09_final
2018-04-10 10:46:46	ga_ls8c_ard_3-0-0_105070_2018-04-10_final
2018-05-10 10:58:51	ga_ls8c_ard_3-0-0_107070_2018-05-10_final
2018-05-11 10:03:13	ga_ls8c_ard_3-0-0_098070_2018-05-11_final
2018-09-16 10:03:46	ga_ls8c_ard_3-0-0_098070_2018-09-16_final
2018-09-17 10:47:02	ga_ls8c_ard_3-0-0_105070_2018-09-17_final
2018-09-27 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-09-27_final
2018-09-27 11:24:11	ga_ls8c_ard_3-0-0_111070_2018-09-27_final
2018-09-28 10:28:35	ga_ls8c_ard_3-0-0_102070_2018-09-28_final
2018-09-29 11:11:51	ga_ls8c_ard_3-0-0_109070_2018-09-29_final
2018-09-29 11:12:15	ga_ls8c_ard_3-0-0_109071_2018-09-29_final
2018-09-30 10:16:14	ga_ls8c_ard_3-0-0_100070_2018-09-30_final
2018-10-04 09:51:33	ga_ls8c_ard_3-0-0_096070_2018-10-04_final
2018-10-04 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-10-04_final
2018-10-04 11:30:50	ga_ls8c_ard_3-0-0_112071_2018-10-04_final
2018-10-05 10:34:49	ga_ls8c_ard_3-0-0_103070_2018-10-05_final
2018-10-05 10:35:13	ga_ls8c_ard_3-0-0_103071_2018-10-05_final
2018-10-06 11:18:05	ga_ls8c_ard_3-0-0_110070_2018-10-06_final
2018-10-07 10:22:28	ga_ls8c_ard_3-0-0_101070_2018-10-07_final
2018-10-13 09:45:26	ga_ls8c_ard_3-0-0_095070_2018-10-13_final
2018-10-13 11:24:19	ga_ls8c_ard_3-0-0_111070_2018-10-13_final
2018-10-14 10:28:42	ga_ls8c_ard_3-0-0_102070_2018-10-14_final
2018-10-14 10:29:06	ga_ls8c_ard_3-0-0_102071_2018-10-14_final
2018-10-15 11:11:58	ga_ls8c_ard_3-0-0_109070_2018-10-15_final
2018-10-16 10:16:21	ga_ls8c_ard_3-1-0_100070_2018-10-16_final
2018-10-17 10:59:37	ga_ls8c_ard_3-0-0_107070_2018-10-17_final
2018-11-30 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-11-30_final
2018-11-30 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-11-30_final
2018-12-01 10:28:47	ga_ls8c_ard_3-0-0_102070_2018-12-01_final
2018-12-01 10:29:11	ga_ls8c_ard_3-0-0_102071_2018-12-01_final
2018-12-02 11:12:02	ga_ls8c_ard_3-0-0_109070_2018-12-02_final
2018-12-03 10:16:25	ga_ls8c_ard_3-0-0_100070_2018-12-03_final
2018-12-07 09:51:41	ga_ls8c_ard_3-0-0_096070_2018-12-07_final
2018-12-07 11:30:34	ga_ls8c_ard_3-0-0_112070_2018-12-07_final
2018-12-08 10:34:56	ga_ls8c_ard_3-0-0_103070_2018-12-08_final
2018-12-09 09:39:43	ga_ls8c_ard_3-0-0_094071_2018-12-09_final
2018-12-09 11:18:12	ga_ls8c_ard_3-0-0_110070_2018-12-09_final
2018-12-10 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-12-10_final
2018-12-10 10:22:58	ga_ls8c_ard_3-0-0_101071_2018-12-10_final
2018-12-16 09:45:28	ga_ls8c_ard_3-0-0_095070_2018-12-16_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2018-12-17 10:28:44	ga_ls8c_ard_3-0-0_102070_2018-12-17_final
2018-12-18 11:12:00	ga_ls8c_ard_3-0-0_109070_2018-12-18_final
2018-12-18 11:12:24	ga_ls8c_ard_3-0-0_109071_2018-12-18_final
2018-12-19 10:16:23	ga_ls8c_ard_3-1-0_100070_2018-12-19_final
2018-12-25 11:18:11	ga_ls8c_ard_3-0-0_110070_2018-12-25_final
2018-12-26 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-12-26_final
2018-12-26 10:22:58	ga_ls8c_ard_3-0-0_101071_2018-12-26_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-06 10:04:25	ga_ls8c_ard_3-0-0_098071_2019-01-06_final
2019-01-07 10:47:16	ga_ls8c_ard_3-0-0_105070_2019-01-07_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-01-11 10:22:32	ga_ls8c_ard_3-0-0_101070_2019-01-11_final
2020-03-15 09:51:39	ga_ls8c_ard_3-1-0_096070_2020-03-15_final
2020-03-15 11:30:32	ga_ls8c_ard_3-1-0_112070_2020-03-15_final
2020-03-16 10:34:54	ga_ls8c_ard_3-1-0_103070_2020-03-16_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-03-18 10:22:31	ga_ls8c_ard_3-1-0_101070_2020-03-18_final
2020-04-02 11:18:00	ga_ls8c_ard_3-1-0_110070_2020-04-02_final
2020-04-03 10:22:22	ga_ls8c_ard_3-1-0_101070_2020-04-03_final
2020-04-04 11:05:37	ga_ls8c_ard_3-1-0_108070_2020-04-04_final
2020-05-02 09:51:14	ga_ls8c_ard_3-1-0_096070_2020-05-02_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-05-03 10:34:30	ga_ls8c_ard_3-1-0_103070_2020-05-03_final
2020-05-04 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-04_final
2020-05-05 10:22:07	ga_ls8c_ard_3-1-0_101070_2020-05-05_final
2020-05-18 09:51:13	ga_ls8c_ard_3-1-0_096070_2020-05-18_final
2020-05-18 11:30:06	ga_ls8c_ard_3-1-0_112070_2020-05-18_final
2020-05-18 11:30:30	ga_ls8c_ard_3-1-0_112071_2020-05-18_final
2020-05-19 10:34:29	ga_ls8c_ard_3-1-0_103070_2020-05-19_final
2020-05-19 10:34:53	ga_ls8c_ard_3-1-0_103071_2020-05-19_final
2020-05-20 09:39:16	ga_ls8c_ard_3-1-0_094071_2020-05-20_final
2020-05-20 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-20_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2020-05-21 10:22:08	ga_ls8c_ard_3-1-0_101070_2020-05-21_final
2020-05-21 10:22:31	ga_ls8c_ard_3-1-0_101071_2020-05-21_final
2022-12-29 11:12:32	ga_ls8c_ard_3-2-1_109070_2022-12-29_final
2022-12-31 11:00:11	ga_ls8c_ard_3-2-1_107070_2022-12-31_final
2023-01-01 10:04:34	ga_ls8c_ard_3-2-1_098070_2023-01-01_final
2023-01-03 09:52:12	ga_ls8c_ard_3-2-1_096070_2023-01-03_final
2023-07-24 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-07-24_final
2023-07-24 10:29:01	ga_ls8c_ard_3-2-1_102071_2023-07-24_final
2023-07-25 09:33:25	ga_ls8c_ard_3-2-1_093071_2023-07-25_final
2023-07-25 11:11:54	ga_ls8c_ard_3-2-1_109070_2023-07-25_final
2023-07-29 10:47:13	ga_ls8c_ard_3-2-1_105070_2023-07-29_final
2023-07-29 10:47:37	ga_ls8c_ard_3-2-1_105071_2023-07-29_final
2023-08-01 11:18:09	ga_ls8c_ard_3-2-1_110070_2023-08-01_final
2023-08-02 10:22:32	ga_ls8c_ard_3-2-1_101070_2023-08-02_final
2023-08-02 10:22:56	ga_ls8c_ard_3-2-1_101071_2023-08-02_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-08 09:45:52	ga_ls8c_ard_3-2-1_095071_2023-08-08_final
2023-08-10 11:11:59	ga_ls8c_ard_3-2-1_109070_2023-08-10_final
2023-08-12 10:59:38	ga_ls8c_ard_3-2-1_107070_2023-08-12_final
2023-08-12 11:00:02	ga_ls8c_ard_3-2-1_107071_2023-08-12_final
2023-08-13 10:04:02	ga_ls8c_ard_3-2-1_098070_2023-08-13_final
2023-08-13 10:04:26	ga_ls8c_ard_3-2-1_098071_2023-08-13_final
2023-08-31 09:51:47	ga_ls8c_ard_3-2-1_096070_2023-08-31_final
2023-09-01 10:35:02	ga_ls8c_ard_3-2-1_103070_2023-09-01_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