Search ga_ls9c_ard_3 across February 2024

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
2024-02-01 09:40:07	ga_ls9c_ard_3-2-1_094071_2024-02-01_final
2024-02-01 09:40:31	ga_ls9c_ard_3-2-1_094072_2024-02-01_final
2024-02-01 09:40:55	ga_ls9c_ard_3-2-1_094073_2024-02-01_final
2024-02-01 09:41:19	ga_ls9c_ard_3-2-1_094074_2024-02-01_final
2024-02-01 09:41:43	ga_ls9c_ard_3-2-1_094075_2024-02-01_final
2024-02-01 09:42:07	ga_ls9c_ard_3-2-1_094076_2024-02-01_final
2024-02-01 09:42:31	ga_ls9c_ard_3-2-1_094077_2024-02-01_final
2024-02-01 09:42:55	ga_ls9c_ard_3-2-1_094078_2024-02-01_final
2024-02-01 09:43:19	ga_ls9c_ard_3-2-1_094079_2024-02-01_final
2024-02-01 09:43:43	ga_ls9c_ard_3-2-1_094080_2024-02-01_final
2024-02-01 09:44:07	ga_ls9c_ard_3-2-1_094081_2024-02-01_final
2024-02-01 09:44:30	ga_ls9c_ard_3-2-1_094082_2024-02-01_final
2024-02-01 09:44:54	ga_ls9c_ard_3-2-1_094083_2024-02-01_final
2024-02-01 09:45:18	ga_ls9c_ard_3-2-1_094084_2024-02-01_final
2024-02-01 09:45:42	ga_ls9c_ard_3-2-1_094085_2024-02-01_final
2024-02-01 09:46:06	ga_ls9c_ard_3-2-1_094086_2024-02-01_final
2024-02-01 09:46:30	ga_ls9c_ard_3-2-1_094087_2024-02-01_final
2024-02-01 11:18:12	ga_ls9c_ard_3-2-1_110069_2024-02-01_final
2024-02-01 11:18:36	ga_ls9c_ard_3-2-1_110070_2024-02-01_final
2024-02-01 11:19:00	ga_ls9c_ard_3-2-1_110071_2024-02-01_final
2024-02-01 11:19:24	ga_ls9c_ard_3-2-1_110072_2024-02-01_final
2024-02-01 11:19:48	ga_ls9c_ard_3-2-1_110073_2024-02-01_final
2024-02-01 11:20:12	ga_ls9c_ard_3-2-1_110074_2024-02-01_final
2024-02-01 11:20:36	ga_ls9c_ard_3-2-1_110075_2024-02-01_final
2024-02-01 11:21:00	ga_ls9c_ard_3-2-1_110076_2024-02-01_final
2024-02-01 11:21:24	ga_ls9c_ard_3-2-1_110077_2024-02-01_final
2024-02-01 11:21:48	ga_ls9c_ard_3-2-1_110078_2024-02-01_final
2024-02-01 11:22:12	ga_ls9c_ard_3-2-1_110079_2024-02-01_final
2024-02-01 11:22:36	ga_ls9c_ard_3-2-1_110080_2024-02-01_final
2024-02-01 11:23:00	ga_ls9c_ard_3-2-1_110081_2024-02-01_final
2024-02-01 11:23:24	ga_ls9c_ard_3-2-1_110082_2024-02-01_final
2024-02-01 11:23:48	ga_ls9c_ard_3-2-1_110083_2024-02-01_final
2024-02-01 11:24:11	ga_ls9c_ard_3-2-1_110084_2024-02-01_final
2024-02-01 11:24:35	ga_ls9c_ard_3-2-1_110085_2024-02-01_final
2024-02-02 08:48:54	ga_ls9c_ard_3-2-1_085082_2024-02-01_final
2024-02-02 10:22:59	ga_ls9c_ard_3-2-1_101070_2024-02-02_final
2024-02-02 10:23:23	ga_ls9c_ard_3-2-1_101071_2024-02-02_final
2024-02-02 10:23:47	ga_ls9c_ard_3-2-1_101072_2024-02-02_final
2024-02-02 10:24:11	ga_ls9c_ard_3-2-1_101073_2024-02-02_final
2024-02-02 10:24:35	ga_ls9c_ard_3-2-1_101074_2024-02-02_final
2024-02-02 10:24:59	ga_ls9c_ard_3-2-1_101075_2024-02-02_final
2024-02-02 10:25:23	ga_ls9c_ard_3-2-1_101076_2024-02-02_final
2024-02-02 10:25:47	ga_ls9c_ard_3-2-1_101077_2024-02-02_final
2024-02-02 10:26:11	ga_ls9c_ard_3-2-1_101078_2024-02-02_final
2024-02-02 10:26:35	ga_ls9c_ard_3-2-1_101079_2024-02-02_final
2024-02-02 10:26:59	ga_ls9c_ard_3-2-1_101080_2024-02-02_final
2024-02-02 10:27:23	ga_ls9c_ard_3-2-1_101081_2024-02-02_final
2024-02-02 10:27:47	ga_ls9c_ard_3-2-1_101082_2024-02-02_final
2024-02-02 10:28:11	ga_ls9c_ard_3-2-1_101083_2024-02-02_final
2024-02-03 09:27:46	ga_ls9c_ard_3-2-1_092071_2024-02-02_final
2024-02-03 09:28:10	ga_ls9c_ard_3-2-1_092072_2024-02-02_final
2024-02-03 09:28:34	ga_ls9c_ard_3-2-1_092073_2024-02-02_final
2024-02-03 09:28:58	ga_ls9c_ard_3-2-1_092074_2024-02-02_final
2024-02-03 09:29:22	ga_ls9c_ard_3-2-1_092075_2024-02-02_final
2024-02-03 09:29:46	ga_ls9c_ard_3-2-1_092076_2024-02-02_final
2024-02-03 09:30:10	ga_ls9c_ard_3-2-1_092077_2024-02-03_final
2024-02-03 09:30:34	ga_ls9c_ard_3-2-1_092078_2024-02-03_final
2024-02-03 09:30:58	ga_ls9c_ard_3-2-1_092079_2024-02-03_final
2024-02-03 09:31:22	ga_ls9c_ard_3-2-1_092080_2024-02-03_final
2024-02-03 09:31:46	ga_ls9c_ard_3-2-1_092081_2024-02-03_final
2024-02-03 09:32:10	ga_ls9c_ard_3-2-1_092082_2024-02-03_final
2024-02-03 09:32:33	ga_ls9c_ard_3-2-1_092083_2024-02-03_final
2024-02-03 09:32:57	ga_ls9c_ard_3-2-1_092084_2024-02-03_final
2024-02-03 09:33:21	ga_ls9c_ard_3-2-1_092085_2024-02-03_final
2024-02-03 09:33:45	ga_ls9c_ard_3-2-1_092086_2024-02-03_final
2024-02-03 09:34:09	ga_ls9c_ard_3-2-1_092087_2024-02-03_final
2024-02-03 09:34:33	ga_ls9c_ard_3-2-1_092088_2024-02-03_final
2024-02-03 09:34:57	ga_ls9c_ard_3-2-1_092089_2024-02-03_final
2024-02-03 09:35:21	ga_ls9c_ard_3-2-1_092090_2024-02-03_final
2024-02-03 11:05:51	ga_ls9c_ard_3-2-1_108069_2024-02-03_final
2024-02-03 11:06:15	ga_ls9c_ard_3-2-1_108070_2024-02-03_final
2024-02-03 11:06:39	ga_ls9c_ard_3-2-1_108071_2024-02-03_final
2024-02-03 11:07:03	ga_ls9c_ard_3-2-1_108072_2024-02-03_final
2024-02-03 11:07:27	ga_ls9c_ard_3-2-1_108073_2024-02-03_final
2024-02-03 11:07:51	ga_ls9c_ard_3-2-1_108074_2024-02-03_final
2024-02-03 11:08:15	ga_ls9c_ard_3-2-1_108075_2024-02-03_final
2024-02-03 11:08:39	ga_ls9c_ard_3-2-1_108076_2024-02-03_final
2024-02-03 11:09:03	ga_ls9c_ard_3-2-1_108077_2024-02-03_final
2024-02-03 11:09:27	ga_ls9c_ard_3-2-1_108078_2024-02-03_final
2024-02-03 11:09:51	ga_ls9c_ard_3-2-1_108079_2024-02-03_final
2024-02-03 11:10:15	ga_ls9c_ard_3-2-1_108080_2024-02-03_final
2024-02-03 11:10:39	ga_ls9c_ard_3-2-1_108081_2024-02-03_final
2024-02-03 11:11:03	ga_ls9c_ard_3-2-1_108082_2024-02-03_final
2024-02-03 11:11:27	ga_ls9c_ard_3-2-1_108083_2024-02-03_final
2024-02-03 11:11:50	ga_ls9c_ard_3-2-1_108084_2024-02-03_final
2024-02-05 10:53:06	ga_ls9c_ard_3-2-1_106068_2024-02-05_final
2024-02-05 10:53:30	ga_ls9c_ard_3-2-1_106069_2024-02-05_final
2024-02-05 10:53:54	ga_ls9c_ard_3-2-1_106070_2024-02-05_final
2024-02-05 10:54:18	ga_ls9c_ard_3-2-1_106071_2024-02-05_final
2024-02-05 10:54:42	ga_ls9c_ard_3-2-1_106072_2024-02-05_final
2024-02-05 10:55:06	ga_ls9c_ard_3-2-1_106073_2024-02-05_final
2024-02-05 10:55:30	ga_ls9c_ard_3-2-1_106074_2024-02-05_final
2024-02-05 10:55:54	ga_ls9c_ard_3-2-1_106075_2024-02-05_final
2024-02-05 10:56:18	ga_ls9c_ard_3-2-1_106076_2024-02-05_final
2024-02-05 10:56:42	ga_ls9c_ard_3-2-1_106077_2024-02-05_final
2024-02-05 10:57:06	ga_ls9c_ard_3-2-1_106078_2024-02-05_final
2024-02-05 10:57:29	ga_ls9c_ard_3-2-1_106079_2024-02-05_final
2024-02-05 10:57:53	ga_ls9c_ard_3-2-1_106080_2024-02-05_final
2024-02-05 10:58:17	ga_ls9c_ard_3-2-1_106081_2024-02-05_final
2024-02-05 10:58:41	ga_ls9c_ard_3-2-1_106082_2024-02-05_final

Return to ga_ls9c_ard_3 across February 2024 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

2024

February

All days