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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

55 results

Time (local)	Label
2022-01-26 09:45:17	ga_ls9c_ard_3-2-1_094084_2022-01-26_final.stac-item
2022-03-05 09:07:33	ga_ls9c_ard_3-2-1_088083_2022-03-04_final.stac-item
2022-04-02 09:29:00	ga_ls9c_ard_3-2-1_092075_2022-04-01_final.stac-item
2022-04-12 10:03:14	ga_ls9c_ard_3-2-1_098068_2022-04-12_final.stac-item
2022-05-09 11:23:22	ga_ls9c_ard_3-2-1_111068_2022-05-09_final.stac-item
2022-05-30 10:04:04	ga_ls9c_ard_3-2-1_098071_2022-05-30_final.stac-item
2022-07-12 11:24:42	ga_ls9c_ard_3-2-1_111071_2022-07-12_final.stac-item
2022-07-19 11:32:08	ga_ls9c_ard_3-2-1_112074_2022-07-19_final.stac-item
2022-07-25 09:17:28	ga_ls9c_ard_3-2-1_090077_2022-07-24_final.stac-item
2022-07-30 11:14:10	ga_ls9c_ard_3-2-1_109075_2022-07-30_final.stac-item
2022-09-07 11:19:20	ga_ls9c_ard_3-2-1_110072_2022-09-07_final.stac-item
2022-09-27 09:17:27	ga_ls9c_ard_3-2-1_090076_2022-09-26_final.stac-item
2022-10-11 09:28:16	ga_ls9c_ard_3-2-1_092072_2022-10-10_final.stac-item
2022-10-30 09:57:36	ga_ls9c_ard_3-2-1_097068_2022-10-30_final.stac-item
2022-11-13 10:09:36	ga_ls9c_ard_3-2-1_099067_2022-11-13_final.stac-item
2022-11-15 10:04:01	ga_ls9c_ard_3-2-1_097084_2022-11-15_final.stac-item
2022-11-20 10:22:10	ga_ls9c_ard_3-2-1_100083_2022-11-20_final.stac-item
2023-01-09 10:07:23	ga_ls9c_ard_3-2-1_098077_2023-01-09_final.stac-item
2023-01-17 10:55:08	ga_ls9c_ard_3-2-1_106073_2023-01-17_final.stac-item
2023-01-19 09:06:39	ga_ls9c_ard_3-2-1_088080_2023-01-18_final.stac-item
2023-02-12 11:32:46	ga_ls9c_ard_3-2-1_112074_2023-02-12_final.stac-item
2023-02-17 10:11:09	ga_ls9c_ard_3-2-1_099071_2023-02-17_final.stac-item
2023-05-02 10:51:54	ga_ls9c_ard_3-2-1_105082_2023-05-02_final.stac-item
2023-06-03 09:13:34	ga_ls9c_ard_3-2-1_089084_2023-06-02_final.stac-item
2023-06-19 10:51:31	ga_ls9c_ard_3-2-1_105082_2023-06-19_final.stac-item
2023-06-22 11:18:26	ga_ls9c_ard_3-2-1_110072_2023-06-22_final.stac-item
2023-07-13 11:38:03	ga_ls9c_ard_3-2-1_113074_2023-07-13_final.stac-item
2023-07-27 11:50:49	ga_ls9c_ard_3-2-1_115075_2023-07-27_final.stac-item
2023-08-04 09:27:00	ga_ls9c_ard_3-2-1_091086_2023-08-03_final.stac-item
2023-08-21 10:04:22	ga_ls9c_ard_3-2-1_098071_2023-08-21_final.stac-item
2023-08-30 10:03:53	ga_ls9c_ard_3-2-1_097085_2023-08-30_final.stac-item
2023-09-05 09:26:27	ga_ls9c_ard_3-2-1_091084_2023-09-04_final.stac-item
2023-09-12 09:33:55	ga_ls9c_ard_3-2-1_092087_2023-09-12_final.stac-item
2023-09-12 11:06:01	ga_ls9c_ard_3-2-1_108070_2023-09-12_final.stac-item
2023-10-14 09:29:17	ga_ls9c_ard_3-2-1_092075_2023-10-13_final.stac-item
2023-11-10 09:16:41	ga_ls9c_ard_3-2-1_089090_2023-11-09_final.stac-item
2023-11-12 10:40:01	ga_ls9c_ard_3-2-1_103082_2023-11-12_final.stac-item
2023-11-16 11:52:58	ga_ls9c_ard_3-2-1_115079_2023-11-16_final.stac-item
2023-12-07 10:30:17	ga_ls9c_ard_3-2-1_102073_2023-12-07_final.stac-item
2023-12-11 10:07:12	ga_ls9c_ard_3-2-1_098077_2023-12-11_final.stac-item
2024-01-11 11:01:38	ga_ls9c_ard_3-2-1_107074_2024-01-11_final.stac-item
2024-01-16 09:44:30	ga_ls9c_ard_3-2-1_094082_2024-01-16_final.stac-item
2024-01-17 10:25:45	ga_ls9c_ard_3-2-1_101077_2024-01-17_final.stac-item
2024-02-07 10:40:45	ga_ls9c_ard_3-2-1_104068_2024-02-07_final.stac-item
2024-02-07 10:46:20	ga_ls9c_ard_3-2-1_104082_2024-02-07_final.stac-item
2024-02-20 11:52:09	ga_ls9c_ard_3-2-1_115077_2024-02-20_final.stac-item
2024-02-26 09:33:45	ga_ls9c_ard_3-2-1_093071_2024-02-26_final.stac-item
2024-02-29 10:07:05	ga_ls9c_ard_3-2-1_098077_2024-02-29_final.stac-item
2024-03-10 10:40:37	ga_ls9c_ard_3-2-1_104068_2024-03-10_final.stac-item
2024-04-01 10:08:09	ga_ls9c_ard_3-2-1_098080_2024-04-01_final.stac-item
2024-04-16 09:22:45	ga_ls9c_ard_3-2-1_091075_2024-04-15_final.stac-item
2024-04-25 09:22:18	ga_ls9c_ard_3-2-1_090090_2024-04-24_final.stac-item
2024-04-26 09:58:23	ga_ls9c_ard_3-2-1_097072_2024-04-26_final.stac-item
2024-05-01 11:58:11	ga_ls9c_ard_3-2-1_116078_2024-05-01_final.stac-item
2024-05-04 10:48:12	ga_ls9c_ard_3-2-1_105073_2024-05-04_final.stac-item

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years