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
2023-04-07 12:31:13	ga_ls9c_ard_3-2-1_122067_2023-04-07_final
2023-12-27 10:06:29	ga_ls9c_ard_3-2-1_098075_2023-12-27_final
2023-12-28 10:47:20	ga_ls9c_ard_3-2-1_105069_2023-12-28_final
2023-12-28 10:47:44	ga_ls9c_ard_3-2-1_105070_2023-12-28_final
2023-12-28 10:48:32	ga_ls9c_ard_3-2-1_105072_2023-12-28_final
2023-12-29 09:52:30	ga_ls9c_ard_3-2-1_096071_2023-12-29_final
2023-12-29 09:58:06	ga_ls9c_ard_3-2-1_096085_2023-12-29_final
2023-12-29 11:35:47	ga_ls9c_ard_3-2-1_112082_2023-12-29_final
2023-12-30 10:36:33	ga_ls9c_ard_3-2-1_103073_2023-12-30_final
2023-12-30 10:36:57	ga_ls9c_ard_3-2-1_103074_2023-12-30_final
2023-12-30 10:38:33	ga_ls9c_ard_3-2-1_103078_2023-12-30_final
2024-01-04 09:19:21	ga_ls9c_ard_3-2-1_090081_2024-01-03_final
2024-01-04 10:53:02	ga_ls9c_ard_3-2-1_106068_2024-01-04_final
2024-01-04 10:54:38	ga_ls9c_ard_3-2-1_106072_2024-01-04_final
2024-01-05 10:00:12	ga_ls9c_ard_3-2-1_097075_2024-01-05_final
2024-01-20 09:20:57	ga_ls9c_ard_3-2-1_090085_2024-01-19_final
2024-01-21 11:39:53	ga_ls9c_ard_3-2-1_113077_2024-01-21_final
2024-01-21 11:41:05	ga_ls9c_ard_3-2-1_113080_2024-01-21_final
2024-01-22 10:43:27	ga_ls9c_ard_3-2-1_104075_2024-01-22_final
2024-01-23 09:49:49	ga_ls9c_ard_3-2-1_095080_2024-01-23_final
2024-01-23 09:50:13	ga_ls9c_ard_3-2-1_095081_2024-01-23_final
2024-01-25 09:36:39	ga_ls9c_ard_3-2-1_093078_2024-01-25_final
2024-01-25 09:37:03	ga_ls9c_ard_3-2-1_093079_2024-01-25_final
2024-01-25 09:38:15	ga_ls9c_ard_3-2-1_093082_2024-01-25_final
2024-01-29 09:15:11	ga_ls9c_ard_3-2-1_089086_2024-01-28_final
2024-01-29 10:50:04	ga_ls9c_ard_3-2-1_105076_2024-01-29_final
2024-01-29 10:52:04	ga_ls9c_ard_3-2-1_105081_2024-01-29_final
2024-01-30 09:56:27	ga_ls9c_ard_3-2-1_096081_2024-01-30_final
2024-01-31 10:37:20	ga_ls9c_ard_3-2-1_103075_2024-01-31_final
2024-01-31 10:38:08	ga_ls9c_ard_3-2-1_103077_2024-01-31_final
2024-02-01 09:43:43	ga_ls9c_ard_3-2-1_094080_2024-02-01_final
2024-02-01 11:21:48	ga_ls9c_ard_3-2-1_110078_2024-02-01_final
2024-02-02 10:26:59	ga_ls9c_ard_3-2-1_101080_2024-02-02_final
2024-02-03 11:07:03	ga_ls9c_ard_3-2-1_108072_2024-02-03_final
2024-02-04 11:53:31	ga_ls9c_ard_3-2-1_115080_2024-02-04_final
2024-02-06 10:00:16	ga_ls9c_ard_3-2-1_097075_2024-02-06_final
2024-02-10 09:40:20	ga_ls9c_ard_3-2-1_093087_2024-02-10_final
2024-02-11 10:19:12	ga_ls9c_ard_3-2-1_100076_2024-02-11_final
2024-02-12 09:24:22	ga_ls9c_ard_3-2-1_091078_2024-02-11_final
2024-02-13 10:09:37	ga_ls9c_ard_3-2-1_098083_2024-02-13_final
2024-02-13 11:47:18	ga_ls9c_ard_3-2-1_114080_2024-02-13_final
2024-02-15 09:56:49	ga_ls9c_ard_3-2-1_096082_2024-02-15_final
2024-02-15 11:35:42	ga_ls9c_ard_3-2-1_112082_2024-02-15_final
2024-02-16 10:36:52	ga_ls9c_ard_3-2-1_103074_2024-02-16_final
2024-02-17 09:46:01	ga_ls9c_ard_3-2-1_094086_2024-02-17_final
2024-02-17 09:46:25	ga_ls9c_ard_3-2-1_094087_2024-02-17_final
2024-02-17 11:21:43	ga_ls9c_ard_3-2-1_110078_2024-02-17_final
2024-02-20 10:12:04	ga_ls9c_ard_3-2-1_099074_2024-02-20_final
2024-02-22 09:59:15	ga_ls9c_ard_3-2-1_097073_2024-02-22_final
2024-02-22 10:01:39	ga_ls9c_ard_3-2-1_097079_2024-02-22_final
2024-02-23 10:41:18	ga_ls9c_ard_3-2-1_104070_2024-02-23_final
2024-02-24 11:27:46	ga_ls9c_ard_3-2-1_111078_2024-02-24_final
2024-02-25 10:32:57	ga_ls9c_ard_3-2-1_102080_2024-02-25_final
2024-02-26 09:40:08	ga_ls9c_ard_3-2-1_093087_2024-02-26_final
2024-02-28 11:00:18	ga_ls9c_ard_3-2-1_107071_2024-02-28_final
2024-03-02 09:53:57	ga_ls9c_ard_3-2-1_096075_2024-03-02_final
2024-03-04 09:42:48	ga_ls9c_ard_3-2-1_094078_2024-03-04_final
2024-03-09 11:41:01	ga_ls9c_ard_3-2-1_113080_2024-03-09_final
2024-03-10 10:41:00	ga_ls9c_ard_3-2-1_104069_2024-03-10_final
2024-03-12 10:30:38	ga_ls9c_ard_3-2-1_102074_2024-03-12_final
2024-03-15 09:24:14	ga_ls9c_ard_3-2-1_091078_2024-03-14_final
2024-03-15 11:00:43	ga_ls9c_ard_3-2-1_107072_2024-03-15_final
2024-03-15 11:01:07	ga_ls9c_ard_3-2-1_107073_2024-03-15_final
2024-03-16 11:44:47	ga_ls9c_ard_3-2-1_114074_2024-03-16_final
2024-03-18 11:33:37	ga_ls9c_ard_3-2-1_112077_2024-03-18_final
2024-03-19 10:38:47	ga_ls9c_ard_3-2-1_103079_2024-03-19_final
2024-03-20 09:41:58	ga_ls9c_ard_3-2-1_094076_2024-03-20_final
2024-03-20 09:44:46	ga_ls9c_ard_3-2-1_094083_2024-03-20_final
2024-03-22 09:33:35	ga_ls9c_ard_3-2-1_092086_2024-03-22_final
2024-03-22 11:08:28	ga_ls9c_ard_3-2-1_108076_2024-03-22_final
2024-03-28 10:29:41	ga_ls9c_ard_3-2-1_102072_2024-03-28_final
2024-03-29 09:38:26	ga_ls9c_ard_3-2-1_093083_2024-03-29_final
2024-03-29 09:39:14	ga_ls9c_ard_3-2-1_093085_2024-03-29_final
2024-03-31 09:25:41	ga_ls9c_ard_3-2-1_091082_2024-03-30_final
2024-04-01 11:44:38	ga_ls9c_ard_3-2-1_114074_2024-04-01_final
2024-04-03 09:53:47	ga_ls9c_ard_3-2-1_096075_2024-04-03_final
2024-04-03 09:56:59	ga_ls9c_ard_3-2-1_096083_2024-04-03_final
2024-04-03 11:32:40	ga_ls9c_ard_3-2-1_112075_2024-04-03_final
2024-04-03 11:36:16	ga_ls9c_ard_3-2-1_112084_2024-04-03_final
2024-04-09 10:57:09	ga_ls9c_ard_3-2-1_106079_2024-04-09_final
2024-04-11 10:41:58	ga_ls9c_ard_3-2-1_104072_2024-04-11_final
2024-04-12 09:47:56	ga_ls9c_ard_3-2-1_095076_2024-04-12_final
2024-04-12 11:26:25	ga_ls9c_ard_3-2-1_111075_2024-04-12_final
2024-04-14 09:35:33	ga_ls9c_ard_3-2-1_093076_2024-04-14_final
2024-04-14 11:17:13	ga_ls9c_ard_3-2-1_109083_2024-04-14_final
2024-04-15 10:18:00	ga_ls9c_ard_3-2-1_100074_2024-04-15_final
2024-04-16 09:25:09	ga_ls9c_ard_3-2-1_091081_2024-04-15_final
2024-04-16 11:00:02	ga_ls9c_ard_3-2-1_107071_2024-04-16_final
2024-04-16 11:01:38	ga_ls9c_ard_3-2-1_107075_2024-04-16_final
2024-04-17 10:09:11	ga_ls9c_ard_3-2-1_098083_2024-04-17_final
2024-04-17 11:44:29	ga_ls9c_ard_3-2-1_114074_2024-04-17_final
2024-04-18 10:49:14	ga_ls9c_ard_3-2-1_105075_2024-04-18_final
2024-04-19 11:32:28	ga_ls9c_ard_3-2-1_112075_2024-04-19_final
2024-04-19 11:34:51	ga_ls9c_ard_3-2-1_112081_2024-04-19_final
2024-04-19 11:35:15	ga_ls9c_ard_3-2-1_112082_2024-04-19_final
2024-04-21 09:41:09	ga_ls9c_ard_3-2-1_094075_2024-04-21_final
2024-04-21 09:43:09	ga_ls9c_ard_3-2-1_094080_2024-04-21_final
2024-04-22 10:22:47	ga_ls9c_ard_3-2-1_101071_2024-04-22_final
2024-04-23 09:32:42	ga_ls9c_ard_3-2-1_092085_2024-04-23_final
2024-04-24 11:52:01	ga_ls9c_ard_3-2-1_115078_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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