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
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-07-12 11:47:07	ga_ls8c_ard_3-2-1_114081_2023-07-12_final
2023-07-16 11:18:25	ga_ls8c_ard_3-2-1_110071_2023-07-16_final
2023-07-16 11:19:13	ga_ls8c_ard_3-2-1_110073_2023-07-16_final
2023-07-25 11:14:41	ga_ls8c_ard_3-2-1_109077_2023-07-25_final
2023-08-03 11:06:12	ga_ls8c_ard_3-2-1_108071_2023-08-03_final
2023-08-13 10:03:38	ga_ls8c_ard_3-2-1_098069_2023-08-13_final
2023-08-13 10:08:01	ga_ls8c_ard_3-2-1_098080_2023-08-13_final
2023-08-17 09:46:09	ga_ls8c_ard_3-2-1_094087_2023-08-17_final
2023-08-17 11:19:27	ga_ls8c_ard_3-2-1_110073_2023-08-17_final
2023-08-28 09:23:17	ga_ls8c_ard_3-2-1_091076_2023-08-27_final
2023-09-04 11:07:31	ga_ls8c_ard_3-2-1_108074_2023-09-04_final
2023-09-05 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-09-05_final
2023-09-11 09:39:39	ga_ls8c_ard_3-2-1_093086_2023-09-11_final
2023-09-12 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-09-12_final
2023-09-15 10:46:40	ga_ls8c_ard_3-2-1_105068_2023-09-15_final
2023-09-18 11:19:35	ga_ls8c_ard_3-2-1_110073_2023-09-18_final
2023-09-20 09:34:43	ga_ls8c_ard_3-2-1_092089_2023-09-20_final
2023-09-22 09:20:21	ga_ls8c_ard_3-2-1_090084_2023-09-21_final
2023-09-25 11:26:11	ga_ls8c_ard_3-2-1_111074_2023-09-25_final
2023-09-27 09:34:09	ga_ls8c_ard_3-2-1_093072_2023-09-27_final
2023-09-29 11:05:05	ga_ls8c_ard_3-2-1_107083_2023-09-29_final
2023-09-30 10:07:28	ga_ls8c_ard_3-2-1_098078_2023-09-30_final
2023-10-03 10:34:46	ga_ls8c_ard_3-2-1_103069_2023-10-03_final
2023-10-04 09:41:08	ga_ls8c_ard_3-2-1_094074_2023-10-04_final
2023-10-06 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-10-06_final
2023-10-15 09:23:51	ga_ls8c_ard_3-2-1_091077_2023-10-14_final
2023-10-20 09:45:33	ga_ls8c_ard_3-2-1_094085_2023-10-20_final
2023-10-20 11:18:51	ga_ls8c_ard_3-2-1_110071_2023-10-20_final
2023-10-20 11:20:50	ga_ls8c_ard_3-2-1_110076_2023-10-20_final
2023-10-23 10:15:41	ga_ls8c_ard_3-2-1_099083_2023-10-23_final
2023-10-27 09:52:12	ga_ls8c_ard_3-2-1_095086_2023-10-27_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-11-02 09:15:07	ga_ls8c_ard_3-2-1_089086_2023-11-01_final
2023-11-03 11:32:05	ga_ls8c_ard_3-2-1_112073_2023-11-03_final
2023-11-05 11:20:54	ga_ls8c_ard_3-2-1_110076_2023-11-05_final
2023-11-05 11:21:18	ga_ls8c_ard_3-2-1_110077_2023-11-05_final
2023-11-06 10:23:40	ga_ls8c_ard_3-2-1_101072_2023-11-06_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-09 10:53:19	ga_ls8c_ard_3-2-1_106069_2023-11-09_final
2023-11-09 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-11-09_final
2023-11-13 10:29:26	ga_ls8c_ard_3-2-1_102071_2023-11-13_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-16 09:28:40	ga_ls8c_ard_3-2-1_091089_2023-11-15_final
2023-11-16 11:01:34	ga_ls8c_ard_3-2-1_107074_2023-11-16_final
2023-11-17 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-17_final
2023-11-19 09:53:37	ga_ls8c_ard_3-2-1_096074_2023-11-19_final
2023-11-25 10:56:14	ga_ls8c_ard_3-2-1_106076_2023-11-25_final
2023-11-25 10:57:50	ga_ls8c_ard_3-2-1_106080_2023-11-25_final
2023-11-29 10:28:42	ga_ls8c_ard_3-2-1_102069_2023-11-29_final
2023-11-30 09:35:27	ga_ls8c_ard_3-2-1_093075_2023-11-30_final
2023-12-03 10:03:55	ga_ls8c_ard_3-2-1_098069_2023-12-03_final
2023-12-09 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-12-09_final
2023-12-10 11:51:44	ga_ls8c_ard_3-2-1_115076_2023-12-10_final
2023-12-11 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-12-10_final
2023-12-11 10:54:32	ga_ls8c_ard_3-2-1_106072_2023-12-11_final
2023-12-12 10:02:07	ga_ls8c_ard_3-2-1_097080_2023-12-12_final
2023-12-14 11:30:15	ga_ls8c_ard_3-2-1_111084_2023-12-14_final
2023-12-18 09:27:29	ga_ls8c_ard_3-2-1_091086_2023-12-17_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-28 10:01:20	ga_ls8c_ard_3-2-1_097078_2023-12-28_final
2023-12-28 10:02:08	ga_ls8c_ard_3-2-1_097080_2023-12-28_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-29 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-29_final
2024-01-07 10:35:32	ga_ls8c_ard_3-2-1_103071_2024-01-07_final
2024-01-16 10:31:47	ga_ls8c_ard_3-2-1_102077_2024-01-16_final
2024-01-18 11:57:54	ga_ls8c_ard_3-2-1_116076_2024-01-18_final
2024-01-19 09:26:35	ga_ls8c_ard_3-2-1_091084_2024-01-18_final
2024-01-19 11:05:28	ga_ls8c_ard_3-2-1_107084_2024-01-19_final
2024-01-23 10:36:18	ga_ls8c_ard_3-2-1_103073_2024-01-23_final
2024-01-26 11:10:44	ga_ls8c_ard_3-2-1_108082_2024-01-26_final
2024-01-26 11:11:08	ga_ls8c_ard_3-2-1_108083_2024-01-26_final
2024-01-28 09:20:18	ga_ls8c_ard_3-2-1_090084_2024-01-27_final
2024-01-29 11:42:04	ga_ls8c_ard_3-2-1_113083_2024-01-29_final
2024-01-30 10:41:40	ga_ls8c_ard_3-2-1_104071_2024-01-30_final
2024-02-04 09:26:34	ga_ls8c_ard_3-2-1_091084_2024-02-03_final
2024-02-04 11:05:03	ga_ls8c_ard_3-2-1_107083_2024-02-04_final
2024-02-05 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-02-05_final
2024-02-05 11:44:43	ga_ls8c_ard_3-2-1_114074_2024-02-05_final
2024-02-09 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-02-09_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-16 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-02-16_final
2024-02-18 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-18_final
2024-02-19 11:57:27	ga_ls8c_ard_3-2-1_116075_2024-02-19_final
2024-02-19 11:57:51	ga_ls8c_ard_3-2-1_116076_2024-02-19_final
2024-02-20 09:21:45	ga_ls8c_ard_3-2-1_091072_2024-02-19_final
2024-02-22 09:16:34	ga_ls8c_ard_3-2-1_089090_2024-02-21_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-12 11:18:33	ga_ls8c_ard_3-2-1_110071_2024-03-12_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 10:54:12	ga_ls8c_ard_3-2-1_106072_2024-03-16_final
2024-03-18 10:41:25	ga_ls8c_ard_3-2-1_104071_2024-03-18_final
2024-03-24 11:46:42	ga_ls8c_ard_3-2-1_114080_2024-03-24_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_final
2024-04-06 11:17:19	ga_ls8c_ard_3-2-1_109084_2024-04-06_final
2024-04-07 10:20:54	ga_ls8c_ard_3-2-1_100082_2024-04-07_final
2024-04-08 09:25:40	ga_ls8c_ard_3-2-1_091083_2024-04-07_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years