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
2021-03-23 10:08:32	ga_ls8c_ard_3-2-1_099066_2021-03-23_final
2021-03-24 12:31:05	ga_ls8c_ard_3-2-1_122067_2021-03-24_final
2021-03-31 12:37:14	ga_ls8c_ard_3-2-1_123067_2021-03-31_final
2022-04-20 10:02:22	ga_ls8c_ard_3-2-1_098066_2022-04-20_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-04-21 11:56:54	ga_ls8c_ard_3-2-1_116075_2023-04-21_final
2023-11-03 11:35:16	ga_ls8c_ard_3-2-1_112081_2023-11-03_final
2023-11-05 11:20:06	ga_ls8c_ard_3-2-1_110074_2023-11-05_final
2023-11-05 11:23:41	ga_ls8c_ard_3-2-1_110083_2023-11-05_final
2023-11-06 10:24:04	ga_ls8c_ard_3-2-1_101073_2023-11-06_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-17 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-17_final
2023-11-18 10:48:26	ga_ls8c_ard_3-2-1_105072_2023-11-18_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-11-22 10:25:20	ga_ls8c_ard_3-2-1_101076_2023-11-22_final
2023-11-22 10:28:07	ga_ls8c_ard_3-2-1_101083_2023-11-22_final
2023-11-23 09:34:30	ga_ls8c_ard_3-2-1_092088_2023-11-23_final
2023-11-25 10:57:02	ga_ls8c_ard_3-2-1_106078_2023-11-25_final
2023-11-26 10:00:12	ga_ls8c_ard_3-2-1_097075_2023-11-26_final
2023-11-26 10:00:36	ga_ls8c_ard_3-2-1_097076_2023-11-26_final
2023-11-26 10:02:12	ga_ls8c_ard_3-2-1_097080_2023-11-26_final
2023-11-27 10:44:40	ga_ls8c_ard_3-2-1_104078_2023-11-27_final
2023-11-27 10:45:28	ga_ls8c_ard_3-2-1_104080_2023-11-27_final
2023-11-30 09:37:51	ga_ls8c_ard_3-2-1_093081_2023-11-30_final
2023-12-01 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-01_final
2023-12-04 10:48:21	ga_ls8c_ard_3-2-1_105072_2023-12-04_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-08 10:23:11	ga_ls8c_ard_3-2-1_101071_2023-12-08_final
2023-12-08 10:23:35	ga_ls8c_ard_3-2-1_101072_2023-12-08_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-11 10:56:31	ga_ls8c_ard_3-2-1_106077_2023-12-11_final
2023-12-12 10:00:07	ga_ls8c_ard_3-2-1_097075_2023-12-12_final
2023-12-12 10:00:31	ga_ls8c_ard_3-2-1_097076_2023-12-12_final
2023-12-13 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-13_final
2023-12-15 10:30:39	ga_ls8c_ard_3-2-1_102074_2023-12-15_final
2023-12-21 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-12-21_final
2023-12-23 09:41:38	ga_ls8c_ard_3-2-1_094075_2023-12-23_final
2023-12-25 11:08:33	ga_ls8c_ard_3-2-1_108076_2023-12-25_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-27 10:52:59	ga_ls8c_ard_3-2-1_106068_2023-12-27_final
2023-12-27 10:54:11	ga_ls8c_ard_3-2-1_106071_2023-12-27_final
2023-12-28 10:00:09	ga_ls8c_ard_3-2-1_097075_2023-12-28_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2023-12-31 10:29:49	ga_ls8c_ard_3-2-1_102072_2023-12-31_final
2024-01-01 11:13:27	ga_ls8c_ard_3-2-1_109073_2024-01-01_final
2024-01-01 11:16:39	ga_ls8c_ard_3-2-1_109081_2024-01-01_final
2024-01-06 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-06_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-10 09:33:34	ga_ls8c_ard_3-2-1_092086_2024-01-10_final
2024-01-10 11:09:39	ga_ls8c_ard_3-2-1_108079_2024-01-10_final
2024-01-12 10:56:30	ga_ls8c_ard_3-2-1_106077_2024-01-12_final
2024-01-12 10:58:06	ga_ls8c_ard_3-2-1_106081_2024-01-12_final
2024-01-14 10:44:09	ga_ls8c_ard_3-2-1_104077_2024-01-14_final
2024-01-14 10:44:33	ga_ls8c_ard_3-2-1_104078_2024-01-14_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-16 10:29:00	ga_ls8c_ard_3-2-1_102070_2024-01-16_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-01-18 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-18_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-22 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-22_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_final
2024-01-27 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-01-27_final
2024-02-01 10:31:43	ga_ls8c_ard_3-2-1_102077_2024-02-01_final
2024-02-02 09:35:43	ga_ls8c_ard_3-2-1_093076_2024-02-02_final
2024-02-02 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-02_final
2024-02-02 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-02_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-10 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-02-10_final
2024-02-14 10:03:38	ga_ls8c_ard_3-2-1_097084_2024-02-14_final
2024-02-16 11:24:57	ga_ls8c_ard_3-2-1_111071_2024-02-16_final
2024-02-18 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-18_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-20 09:23:44	ga_ls8c_ard_3-2-1_091077_2024-02-19_final
2024-02-20 09:25:44	ga_ls8c_ard_3-2-1_091082_2024-02-19_final
2024-02-20 09:27:20	ga_ls8c_ard_3-2-1_091086_2024-02-19_final
2024-02-20 10:59:50	ga_ls8c_ard_3-2-1_107070_2024-02-20_final
2024-02-21 10:06:12	ga_ls8c_ard_3-2-1_098075_2024-02-21_final
2024-03-04 10:28:47	ga_ls8c_ard_3-2-1_102070_2024-03-04_final
2024-03-05 09:37:32	ga_ls8c_ard_3-2-1_093081_2024-03-05_final
2024-03-05 11:16:01	ga_ls8c_ard_3-2-1_109080_2024-03-05_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-10 09:57:38	ga_ls8c_ard_3-2-1_096085_2024-03-10_final
2024-03-14 09:31:41	ga_ls8c_ard_3-2-1_092082_2024-03-14_final
2024-03-16 09:16:31	ga_ls8c_ard_3-2-1_090075_2024-03-15_final
2024-03-18 10:44:37	ga_ls8c_ard_3-2-1_104079_2024-03-18_final
2024-03-20 10:28:14	ga_ls8c_ard_3-2-1_102069_2024-03-20_final
2024-03-21 09:37:23	ga_ls8c_ard_3-2-1_093081_2024-03-21_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_final
2024-03-22 10:17:50	ga_ls8c_ard_3-2-1_100074_2024-03-22_final
2024-03-25 10:46:40	ga_ls8c_ard_3-2-1_105069_2024-03-25_final
2024-03-25 10:51:04	ga_ls8c_ard_3-2-1_105080_2024-03-25_final
2024-03-28 09:43:48	ga_ls8c_ard_3-2-1_094082_2024-03-28_final
2024-03-28 09:44:36	ga_ls8c_ard_3-2-1_094084_2024-03-28_final
2024-03-29 10:23:53	ga_ls8c_ard_3-2-1_101074_2024-03-29_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-02 10:02:22	ga_ls8c_ard_3-2-1_097082_2024-04-02_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years