Search ga_ls9c_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
2023-08-05 10:03:29	ga_ls9c_ard_3-2-1_098069_2023-08-05_final
2023-08-05 10:07:53	ga_ls9c_ard_3-2-1_098080_2023-08-05_final
2023-08-09 09:45:11	ga_ls9c_ard_3-2-1_094085_2023-08-09_final
2023-08-09 09:45:35	ga_ls9c_ard_3-2-1_094086_2023-08-09_final
2023-08-09 09:45:59	ga_ls9c_ard_3-2-1_094087_2023-08-09_final
2023-08-12 10:08:54	ga_ls9c_ard_3-2-1_099067_2023-08-12_final
2023-08-13 09:17:16	ga_ls9c_ard_3-2-1_090077_2023-08-12_final
2023-08-13 10:58:09	ga_ls9c_ard_3-2-1_106082_2023-08-13_final
2023-08-25 11:19:23	ga_ls9c_ard_3-2-1_110073_2023-08-25_final
2023-08-27 11:11:26	ga_ls9c_ard_3-2-1_108084_2023-08-27_final
2023-08-29 10:57:30	ga_ls9c_ard_3-2-1_106080_2023-08-29_final
2023-09-01 09:46:45	ga_ls9c_ard_3-2-1_095073_2023-09-01_final
2023-09-03 09:33:36	ga_ls9c_ard_3-2-1_093071_2023-09-03_final
2023-09-04 10:22:04	ga_ls9c_ard_3-2-1_100084_2023-09-04_final
2023-09-08 09:52:12	ga_ls9c_ard_3-2-1_096071_2023-09-08_final
2023-09-10 09:40:40	ga_ls9c_ard_3-2-1_094073_2023-09-10_final
2023-09-21 11:01:50	ga_ls9c_ard_3-2-1_107075_2023-09-21_final
2023-09-22 10:03:25	ga_ls9c_ard_3-2-1_098068_2023-09-22_final
2023-09-26 09:40:38	ga_ls9c_ard_3-2-1_094073_2023-09-26_final
2023-09-26 11:19:31	ga_ls9c_ard_3-2-1_110073_2023-09-26_final
2023-09-27 10:27:53	ga_ls9c_ard_3-2-1_101083_2023-09-27_final
2023-09-30 10:55:13	ga_ls9c_ard_3-2-1_106074_2023-09-30_final
2023-10-01 09:58:01	ga_ls9c_ard_3-2-1_097070_2023-10-01_final
2023-10-05 11:15:02	ga_ls9c_ard_3-2-1_109077_2023-10-05_final
2023-10-06 10:17:25	ga_ls9c_ard_3-2-1_100072_2023-10-06_final
2023-10-09 09:13:03	ga_ls9c_ard_3-2-1_089081_2023-10-08_final
2023-10-09 10:48:21	ga_ls9c_ard_3-2-1_105072_2023-10-09_final
2023-10-09 10:52:20	ga_ls9c_ard_3-2-1_105082_2023-10-09_final
2023-10-12 11:19:42	ga_ls9c_ard_3-2-1_110073_2023-10-12_final
2023-10-14 11:07:22	ga_ls9c_ard_3-2-1_108073_2023-10-14_final
2023-10-14 11:11:45	ga_ls9c_ard_3-2-1_108084_2023-10-14_final
2023-10-15 10:10:33	ga_ls9c_ard_3-2-1_099070_2023-10-15_final
2023-10-23 09:21:56	ga_ls9c_ard_3-2-1_091072_2023-10-22_final
2023-10-23 09:22:43	ga_ls9c_ard_3-2-1_091074_2023-10-22_final
2023-10-25 10:47:14	ga_ls9c_ard_3-2-1_105069_2023-10-25_final
2023-10-28 09:41:14	ga_ls9c_ard_3-2-1_094074_2023-10-28_final
2023-10-29 10:24:52	ga_ls9c_ard_3-2-1_101075_2023-10-29_final
2023-10-30 09:29:38	ga_ls9c_ard_3-2-1_092076_2023-10-29_final
2023-11-01 10:58:55	ga_ls9c_ard_3-2-1_106083_2023-11-01_final
2023-11-04 11:30:12	ga_ls9c_ard_3-2-1_111084_2023-11-04_final
2023-11-06 09:40:11	ga_ls9c_ard_3-2-1_093087_2023-11-06_final
2023-11-08 09:29:02	ga_ls9c_ard_3-2-1_091090_2023-11-07_final
2023-11-09 11:47:12	ga_ls9c_ard_3-2-1_114080_2023-11-09_final
2023-11-12 10:38:01	ga_ls9c_ard_3-2-1_103077_2023-11-12_final
2023-11-14 10:24:03	ga_ls9c_ard_3-2-1_101073_2023-11-14_final
2023-11-21 10:29:31	ga_ls9c_ard_3-2-1_102071_2023-11-21_final
2023-11-28 10:34:58	ga_ls9c_ard_3-2-1_103069_2023-11-28_final
2023-12-02 11:51:06	ga_ls9c_ard_3-2-1_115074_2023-12-02_final
2023-12-04 09:58:38	ga_ls9c_ard_3-2-1_097071_2023-12-04_final
2023-12-06 09:47:27	ga_ls9c_ard_3-2-1_095074_2023-12-06_final
2023-12-11 10:03:37	ga_ls9c_ard_3-2-1_098068_2023-12-11_final
2023-12-11 10:08:00	ga_ls9c_ard_3-2-1_098079_2023-12-11_final
2023-12-13 09:58:28	ga_ls9c_ard_3-2-1_096086_2023-12-13_final
2023-12-20 10:01:54	ga_ls9c_ard_3-2-1_097079_2023-12-20_final
2023-12-22 11:30:25	ga_ls9c_ard_3-2-1_111084_2023-12-22_final
2023-12-28 09:12:27	ga_ls9c_ard_3-2-1_089079_2023-12-27_final
2024-01-05 09:58:36	ga_ls9c_ard_3-2-1_097071_2024-01-05_final
2024-01-06 10:45:26	ga_ls9c_ard_3-2-1_104080_2024-01-06_final
2024-01-11 09:24:21	ga_ls9c_ard_3-2-1_091078_2024-01-10_final
2024-01-14 09:52:04	ga_ls9c_ard_3-2-1_096070_2024-01-14_final
2024-01-19 10:14:59	ga_ls9c_ard_3-2-1_099081_2024-01-19_final
2024-01-21 11:41:29	ga_ls9c_ard_3-2-1_113081_2024-01-21_final
2024-01-21 11:42:17	ga_ls9c_ard_3-2-1_113083_2024-01-21_final
2024-01-27 11:05:36	ga_ls9c_ard_3-2-1_107084_2024-01-27_final
2024-02-02 10:24:59	ga_ls9c_ard_3-2-1_101075_2024-02-02_final
2024-02-04 11:51:55	ga_ls9c_ard_3-2-1_115076_2024-02-04_final
2024-02-10 11:12:50	ga_ls9c_ard_3-2-1_109071_2024-02-10_final
2024-02-11 11:57:41	ga_ls9c_ard_3-2-1_116075_2024-02-11_final
2024-02-11 11:58:05	ga_ls9c_ard_3-2-1_116076_2024-02-11_final
2024-02-13 11:45:42	ga_ls9c_ard_3-2-1_114076_2024-02-13_final
2024-02-13 11:46:54	ga_ls9c_ard_3-2-1_114079_2024-02-13_final
2024-02-17 11:18:55	ga_ls9c_ard_3-2-1_110071_2024-02-17_final
2024-02-17 11:19:43	ga_ls9c_ard_3-2-1_110073_2024-02-17_final
2024-02-28 09:27:48	ga_ls9c_ard_3-2-1_091087_2024-02-27_final
2024-03-01 09:13:04	ga_ls9c_ard_3-2-1_089081_2024-02-29_final
2024-03-01 09:15:52	ga_ls9c_ard_3-2-1_089088_2024-02-29_final
2024-03-07 11:51:23	ga_ls9c_ard_3-2-1_115075_2024-03-07_final
2024-03-07 11:52:59	ga_ls9c_ard_3-2-1_115079_2024-03-07_final
2024-03-08 10:58:34	ga_ls9c_ard_3-2-1_106082_2024-03-08_final
2024-03-11 11:29:03	ga_ls9c_ard_3-2-1_111081_2024-03-11_final
2024-03-13 11:13:29	ga_ls9c_ard_3-2-1_109073_2024-03-13_final
2024-03-14 10:17:52	ga_ls9c_ard_3-2-1_100073_2024-03-14_final
2024-03-15 11:01:31	ga_ls9c_ard_3-2-1_107074_2024-03-15_final
2024-03-17 10:48:46	ga_ls9c_ard_3-2-1_105073_2024-03-17_final
2024-03-23 11:52:55	ga_ls9c_ard_3-2-1_115079_2024-03-23_final
2024-03-25 10:03:39	ga_ls9c_ard_3-2-1_097084_2024-03-25_final
2024-03-30 10:18:55	ga_ls9c_ard_3-2-1_100076_2024-03-30_final
2024-03-30 10:22:06	ga_ls9c_ard_3-2-1_100084_2024-03-30_final
2024-03-31 09:23:17	ga_ls9c_ard_3-2-1_091076_2024-03-30_final
2024-04-03 11:35:28	ga_ls9c_ard_3-2-1_112082_2024-04-03_final
2024-04-03 11:36:16	ga_ls9c_ard_3-2-1_112084_2024-04-03_final
2024-04-07 11:11:07	ga_ls9c_ard_3-2-1_108083_2024-04-07_final
2024-04-08 10:14:18	ga_ls9c_ard_3-2-1_099080_2024-04-08_final
2024-04-09 10:53:33	ga_ls9c_ard_3-2-1_106070_2024-04-09_final
2024-04-12 11:24:49	ga_ls9c_ard_3-2-1_111071_2024-04-12_final
2024-04-13 10:29:11	ga_ls9c_ard_3-2-1_102071_2024-04-13_final
2024-04-16 09:23:09	ga_ls9c_ard_3-2-1_091076_2024-04-15_final
2024-04-16 09:27:09	ga_ls9c_ard_3-2-1_091086_2024-04-15_final
2024-04-16 11:01:38	ga_ls9c_ard_3-2-1_107075_2024-04-16_final
2024-04-24 11:52:49	ga_ls9c_ard_3-2-1_115080_2024-04-24_final

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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