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
2022-08-24 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-08-24_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-01-15 08:42:44	ga_ls8c_ard_3-2-1_084082_2023-01-14_final
2023-07-20 10:56:28	ga_ls8c_ard_3-2-1_106078_2023-07-20_final
2023-07-22 10:44:32	ga_ls8c_ard_3-2-1_104079_2023-07-22_final
2023-07-22 10:45:20	ga_ls8c_ard_3-2-1_104081_2023-07-22_final
2023-07-27 11:00:45	ga_ls8c_ard_3-2-1_107073_2023-07-27_final
2023-08-02 10:23:20	ga_ls8c_ard_3-2-1_101072_2023-08-02_final
2023-08-04 10:12:11	ga_ls8c_ard_3-2-1_099075_2023-08-04_final
2023-08-13 10:05:14	ga_ls8c_ard_3-2-1_098073_2023-08-13_final
2023-08-14 10:51:18	ga_ls8c_ard_3-2-1_105080_2023-08-14_final
2023-08-18 10:26:14	ga_ls8c_ard_3-2-1_101079_2023-08-18_final
2023-08-26 09:38:02	ga_ls8c_ard_3-2-1_093082_2023-08-26_final
2023-08-29 10:05:45	ga_ls8c_ard_3-2-1_098074_2023-08-29_final
2023-08-30 10:52:36	ga_ls8c_ard_3-2-1_105083_2023-08-30_final
2023-09-05 10:12:17	ga_ls8c_ard_3-2-1_099075_2023-09-05_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_final
2023-09-08 10:44:24	ga_ls8c_ard_3-2-1_104078_2023-09-08_final
2023-09-14 10:05:23	ga_ls8c_ard_3-2-1_098073_2023-09-14_final
2023-09-14 10:06:35	ga_ls8c_ard_3-2-1_098076_2023-09-14_final
2023-09-16 09:53:27	ga_ls8c_ard_3-2-1_096074_2023-09-16_final
2023-09-18 11:21:10	ga_ls8c_ard_3-2-1_110077_2023-09-18_final
2023-09-21 10:11:36	ga_ls8c_ard_3-2-1_099073_2023-09-21_final
2023-09-25 09:51:17	ga_ls8c_ard_3-2-1_095084_2023-09-25_final
2023-09-29 09:24:12	ga_ls8c_ard_3-2-1_091078_2023-09-28_final
2023-09-29 11:01:05	ga_ls8c_ard_3-2-1_107073_2023-09-29_final
2023-09-29 11:04:17	ga_ls8c_ard_3-2-1_107081_2023-09-29_final
2023-10-07 11:53:20	ga_ls8c_ard_3-2-1_115080_2023-10-07_final
2023-10-09 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-10-09_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-16 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-10-16_final
2023-10-18 09:55:08	ga_ls8c_ard_3-2-1_096078_2023-10-18_final
2023-10-21 10:26:26	ga_ls8c_ard_3-2-1_101079_2023-10-21_final
2023-10-26 10:44:37	ga_ls8c_ard_3-2-1_104078_2023-10-26_final
2023-10-27 09:50:36	ga_ls8c_ard_3-2-1_095082_2023-10-27_final
2023-10-28 10:31:28	ga_ls8c_ard_3-2-1_102076_2023-10-28_final
2023-10-28 10:31:52	ga_ls8c_ard_3-2-1_102077_2023-10-28_final
2023-10-29 09:36:15	ga_ls8c_ard_3-2-1_093077_2023-10-29_final
2023-10-29 09:36:39	ga_ls8c_ard_3-2-1_093078_2023-10-29_final
2023-10-31 11:02:47	ga_ls8c_ard_3-2-1_107077_2023-10-31_final
2023-11-03 09:53:11	ga_ls8c_ard_3-2-1_096073_2023-11-03_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-08 10:12:28	ga_ls8c_ard_3-2-1_099075_2023-11-08_final
2023-11-09 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-11-08_final
2023-11-12 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-11-12_final
2023-11-12 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-11-12_final
2023-11-14 09:36:13	ga_ls8c_ard_3-2-1_093077_2023-11-14_final
2023-11-19 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-11-19_final
2023-11-25 10:58:14	ga_ls8c_ard_3-2-1_106081_2023-11-25_final
2023-11-28 11:27:31	ga_ls8c_ard_3-2-1_111077_2023-11-28_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-05 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-12-05_final
2023-12-05 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-12-05_final
2023-12-05 11:34:47	ga_ls8c_ard_3-2-1_112080_2023-12-05_final
2023-12-07 09:41:54	ga_ls8c_ard_3-2-1_094076_2023-12-07_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-16 09:36:14	ga_ls8c_ard_3-2-1_093077_2023-12-16_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-16 11:16:19	ga_ls8c_ard_3-2-1_109080_2023-12-16_final
2023-12-21 11:34:29	ga_ls8c_ard_3-2-1_112079_2023-12-21_final
2023-12-23 09:42:02	ga_ls8c_ard_3-2-1_094076_2023-12-23_final
2023-12-30 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-12-30_final
2024-01-03 11:00:40	ga_ls8c_ard_3-2-1_107072_2024-01-03_final
2024-01-06 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-06_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-17 09:36:09	ga_ls8c_ard_3-2-1_093077_2024-01-17_final
2024-01-18 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-18_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-20 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-01-20_final
2024-01-22 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-22_final
2024-01-26 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-01-26_final
2024-02-02 11:15:00	ga_ls8c_ard_3-2-1_109077_2024-02-02_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-09 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-02-09_final
2024-02-09 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-02-09_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-15 10:45:17	ga_ls8c_ard_3-2-1_104080_2024-02-15_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-18 09:36:30	ga_ls8c_ard_3-2-1_093078_2024-02-18_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-19 10:21:22	ga_ls8c_ard_3-2-1_100082_2024-02-19_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-03 09:51:08	ga_ls8c_ard_3-2-1_095084_2024-03-03_final
2024-03-04 10:31:11	ga_ls8c_ard_3-2-1_102076_2024-03-04_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-10 09:55:14	ga_ls8c_ard_3-2-1_096079_2024-03-10_final
2024-03-14 09:30:29	ga_ls8c_ard_3-2-1_092079_2024-03-14_final
2024-03-14 11:08:11	ga_ls8c_ard_3-2-1_108076_2024-03-14_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-25 10:51:28	ga_ls8c_ard_3-2-1_105081_2024-03-25_final
2024-03-28 11:20:41	ga_ls8c_ard_3-2-1_110077_2024-03-28_final
2024-03-30 09:29:52	ga_ls8c_ard_3-2-1_092078_2024-03-29_final
2024-04-01 12:30:53	ga_ls8c_ard_3-2-1_122067_2024-04-01_final
2024-04-03 10:42:02	ga_ls8c_ard_3-2-1_104073_2024-04-03_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