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
2016-12-07 12:31:35	ga_ls8c_ard_3-2-1_122067_2016-12-07_final
2018-09-23 10:08:24	ga_ls8c_ard_3-2-1_099066_2018-09-23_final
2018-11-14 08:10:39	ga_ls8c_ard_3-2-1_079080_2018-11-13_final
2020-08-15 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-08-14_final
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2023-01-24 10:09:05	ga_ls8c_ard_3-2-1_099066_2023-01-24_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-12-02 09:24:16	ga_ls8c_ard_3-2-1_091078_2023-12-01_final
2023-12-03 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-12-03_final
2023-12-04 10:46:21	ga_ls8c_ard_3-2-1_105067_2023-12-04_final
2023-12-04 10:47:09	ga_ls8c_ard_3-2-1_105069_2023-12-04_final
2023-12-05 09:53:30	ga_ls8c_ard_3-2-1_096074_2023-12-05_final
2023-12-05 09:58:18	ga_ls8c_ard_3-2-1_096086_2023-12-05_final
2023-12-05 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-12-05_final
2023-12-12 10:02:07	ga_ls8c_ard_3-2-1_097080_2023-12-12_final
2023-12-12 10:03:42	ga_ls8c_ard_3-2-1_097084_2023-12-12_final
2023-12-12 11:39:00	ga_ls8c_ard_3-2-1_113075_2023-12-12_final
2023-12-15 10:28:39	ga_ls8c_ard_3-2-1_102069_2023-12-15_final
2023-12-15 10:33:51	ga_ls8c_ard_3-2-1_102082_2023-12-15_final
2023-12-16 11:17:55	ga_ls8c_ard_3-2-1_109084_2023-12-16_final
2023-12-18 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-12-17_final
2023-12-20 09:15:56	ga_ls8c_ard_3-2-1_089088_2023-12-19_final
2023-12-20 10:48:25	ga_ls8c_ard_3-2-1_105072_2023-12-20_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-23 11:21:19	ga_ls8c_ard_3-2-1_110077_2023-12-23_final
2023-12-23 11:22:55	ga_ls8c_ard_3-2-1_110081_2023-12-23_final
2023-12-23 11:23:19	ga_ls8c_ard_3-2-1_110082_2023-12-23_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-27 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-12-27_final
2023-12-28 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-12-28_final
2023-12-28 10:02:08	ga_ls8c_ard_3-2-1_097080_2023-12-28_final
2023-12-28 11:39:02	ga_ls8c_ard_3-2-1_113075_2023-12-28_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2023-12-29 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-29_final
2024-01-03 09:24:58	ga_ls8c_ard_3-2-1_091080_2024-01-02_final
2024-01-04 10:07:49	ga_ls8c_ard_3-2-1_098079_2024-01-04_final
2024-01-05 10:47:04	ga_ls8c_ard_3-2-1_105069_2024-01-05_final
2024-01-06 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-06_final
2024-01-07 10:36:44	ga_ls8c_ard_3-2-1_103074_2024-01-07_final
2024-01-07 10:37:56	ga_ls8c_ard_3-2-1_103077_2024-01-07_final
2024-01-08 11:23:12	ga_ls8c_ard_3-2-1_110082_2024-01-08_final
2024-01-11 10:14:50	ga_ls8c_ard_3-2-1_099081_2024-01-11_final
2024-01-11 10:15:38	ga_ls8c_ard_3-2-1_099083_2024-01-11_final
2024-01-12 10:57:18	ga_ls8c_ard_3-2-1_106079_2024-01-12_final
2024-01-13 10:01:17	ga_ls8c_ard_3-2-1_097078_2024-01-13_final
2024-01-15 09:50:31	ga_ls8c_ard_3-2-1_095082_2024-01-15_final
2024-01-19 09:24:35	ga_ls8c_ard_3-2-1_091079_2024-01-18_final
2024-01-20 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-01-20_final
2024-01-20 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-01-20_final
2024-01-20 11:45:07	ga_ls8c_ard_3-2-1_114075_2024-01-20_final
2024-01-22 09:57:27	ga_ls8c_ard_3-2-1_096084_2024-01-22_final
2024-01-26 11:11:08	ga_ls8c_ard_3-2-1_108083_2024-01-26_final
2024-01-27 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-01-27_final
2024-01-28 09:21:30	ga_ls8c_ard_3-2-1_090087_2024-01-27_final
2024-01-29 09:59:11	ga_ls8c_ard_3-2-1_097073_2024-01-29_final
2024-01-29 11:40:04	ga_ls8c_ard_3-2-1_113078_2024-01-29_final
2024-01-29 11:42:28	ga_ls8c_ard_3-2-1_113084_2024-01-29_final
2024-02-04 09:28:09	ga_ls8c_ard_3-2-1_091088_2024-02-03_final
2024-02-05 10:06:14	ga_ls8c_ard_3-2-1_098075_2024-02-05_final
2024-02-07 09:57:52	ga_ls8c_ard_3-2-1_096085_2024-02-07_final
2024-02-18 11:13:00	ga_ls8c_ard_3-2-1_109072_2024-02-18_final
2024-02-20 09:27:44	ga_ls8c_ard_3-2-1_091087_2024-02-19_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-23 11:35:30	ga_ls8c_ard_3-2-1_112082_2024-02-23_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-27 09:32:16	ga_ls8c_ard_3-2-1_092083_2024-02-27_final
2024-02-28 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-02-28_final
2024-02-29 10:54:22	ga_ls8c_ard_3-2-1_106072_2024-02-29_final
2024-03-01 11:41:13	ga_ls8c_ard_3-2-1_113081_2024-03-01_final
2024-03-02 10:40:47	ga_ls8c_ard_3-2-1_104069_2024-03-02_final
2024-03-03 11:26:25	ga_ls8c_ard_3-2-1_111075_2024-03-03_final
2024-03-05 09:34:45	ga_ls8c_ard_3-2-1_093074_2024-03-05_final
2024-03-07 09:26:20	ga_ls8c_ard_3-2-1_091084_2024-03-06_final
2024-03-08 10:06:00	ga_ls8c_ard_3-2-1_098075_2024-03-08_final
2024-03-08 11:45:41	ga_ls8c_ard_3-2-1_114077_2024-03-08_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_2024-03-10_final
2024-03-12 11:20:33	ga_ls8c_ard_3-2-1_110076_2024-03-12_final
2024-03-13 10:23:44	ga_ls8c_ard_3-2-1_101073_2024-03-13_final
2024-03-20 10:28:14	ga_ls8c_ard_3-2-1_102069_2024-03-20_final
2024-03-21 09:34:59	ga_ls8c_ard_3-2-1_093075_2024-03-21_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-22 11:57:31	ga_ls8c_ard_3-2-1_116076_2024-03-22_final
2024-03-23 09:24:35	ga_ls8c_ard_3-2-1_091080_2024-03-22_final
2024-03-24 10:09:01	ga_ls8c_ard_3-2-1_098083_2024-03-24_final
2024-03-30 11:10:44	ga_ls8c_ard_3-2-1_108083_2024-03-30_final
2024-04-02 11:41:15	ga_ls8c_ard_3-2-1_113082_2024-04-02_final
2024-04-04 11:29:41	ga_ls8c_ard_3-2-1_111084_2024-04-04_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_2024-04-06_final
2024-04-06 11:12:56	ga_ls8c_ard_3-2-1_109073_2024-04-06_final
2024-04-10 09:14:30	ga_ls8c_ard_3-2-1_089086_2024-04-09_final
2024-04-10 10:46:36	ga_ls8c_ard_3-2-1_105069_2024-04-10_final
2024-04-11 09:52:10	ga_ls8c_ard_3-2-1_096072_2024-04-11_final
2024-04-13 09:40:35	ga_ls8c_ard_3-2-1_094074_2024-04-13_final
2024-04-13 11:19:04	ga_ls8c_ard_3-2-1_110073_2024-04-13_final
2024-04-13 11:21:28	ga_ls8c_ard_3-2-1_110079_2024-04-13_final
2024-04-15 11:05:29	ga_ls8c_ard_3-2-1_108070_2024-04-15_final
2024-04-17 09:17:48	ga_ls8c_ard_3-2-1_090079_2024-04-16_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