Search ga_ls8c_ard_3 across July 2021

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
2021-07-01 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-06-30_final
2021-07-01 09:44:18	ga_ls8c_ard_3-2-0_095067_2021-07-01_final
2021-07-01 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-07-01_final
2021-07-01 09:45:54	ga_ls8c_ard_3-2-0_095071_2021-07-01_final
2021-07-01 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-07-01_final
2021-07-01 09:46:42	ga_ls8c_ard_3-2-0_095073_2021-07-01_final
2021-07-01 09:47:06	ga_ls8c_ard_3-2-0_095074_2021-07-01_final
2021-07-01 09:47:30	ga_ls8c_ard_3-2-0_095075_2021-07-01_final
2021-07-01 09:47:54	ga_ls8c_ard_3-2-0_095076_2021-07-01_final
2021-07-01 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-07-01_final
2021-07-01 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-07-01_final
2021-07-01 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-07-01_final
2021-07-01 09:49:29	ga_ls8c_ard_3-2-0_095080_2021-07-01_final
2021-07-01 09:49:53	ga_ls8c_ard_3-2-0_095081_2021-07-01_final
2021-07-01 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-07-01_final
2021-07-01 09:50:41	ga_ls8c_ard_3-2-0_095083_2021-07-01_final
2021-07-01 09:51:05	ga_ls8c_ard_3-2-0_095084_2021-07-01_final
2021-07-01 09:51:29	ga_ls8c_ard_3-2-0_095085_2021-07-01_final
2021-07-01 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-07-01_final
2021-07-01 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-07-01_final
2021-07-01 09:52:41	ga_ls8c_ard_3-2-0_095088_2021-07-01_final
2021-07-01 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-07-01_final
2021-07-01 11:23:35	ga_ls8c_ard_3-2-0_111068_2021-07-01_final
2021-07-01 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-07-01_final
2021-07-01 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-07-01_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-07-01 11:25:11	ga_ls8c_ard_3-2-0_111072_2021-07-01_final
2021-07-01 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-07-01_final
2021-07-01 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-07-01_final
2021-07-01 11:26:23	ga_ls8c_ard_3-2-0_111075_2021-07-01_final
2021-07-01 11:26:47	ga_ls8c_ard_3-2-0_111076_2021-07-01_final
2021-07-01 11:27:11	ga_ls8c_ard_3-2-0_111077_2021-07-01_final
2021-07-01 11:27:35	ga_ls8c_ard_3-2-0_111078_2021-07-01_final
2021-07-01 11:27:59	ga_ls8c_ard_3-2-0_111079_2021-07-01_final
2021-07-01 11:28:22	ga_ls8c_ard_3-2-0_111080_2021-07-01_final
2021-07-01 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-07-01_final
2021-07-01 11:29:10	ga_ls8c_ard_3-2-0_111082_2021-07-01_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-01 11:29:58	ga_ls8c_ard_3-2-0_111084_2021-07-01_final
2021-07-01 11:30:22	ga_ls8c_ard_3-2-0_111085_2021-07-01_final
2021-07-02 10:27:34	ga_ls8c_ard_3-2-0_102067_2021-07-02_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-02 10:28:22	ga_ls8c_ard_3-2-0_102069_2021-07-02_final
2021-07-02 10:28:46	ga_ls8c_ard_3-2-0_102070_2021-07-02_final
2021-07-02 10:29:10	ga_ls8c_ard_3-2-0_102071_2021-07-02_final
2021-07-02 10:29:34	ga_ls8c_ard_3-2-0_102072_2021-07-02_final
2021-07-02 10:29:58	ga_ls8c_ard_3-2-0_102073_2021-07-02_final
2021-07-02 10:30:22	ga_ls8c_ard_3-2-0_102074_2021-07-02_final
2021-07-02 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-07-02_final
2021-07-02 10:31:09	ga_ls8c_ard_3-2-0_102076_2021-07-02_final
2021-07-02 10:31:33	ga_ls8c_ard_3-2-0_102077_2021-07-02_final
2021-07-02 10:31:57	ga_ls8c_ard_3-2-0_102078_2021-07-02_final
2021-07-02 10:32:21	ga_ls8c_ard_3-2-0_102079_2021-07-02_final
2021-07-02 10:32:45	ga_ls8c_ard_3-2-0_102080_2021-07-02_final
2021-07-02 10:33:09	ga_ls8c_ard_3-2-0_102081_2021-07-02_final
2021-07-02 10:33:33	ga_ls8c_ard_3-2-0_102082_2021-07-02_final
2021-07-02 10:33:57	ga_ls8c_ard_3-2-0_102083_2021-07-02_final
2021-07-08 09:51:18	ga_ls8c_ard_3-2-0_096069_2021-07-08_final
2021-07-08 09:51:41	ga_ls8c_ard_3-2-0_096070_2021-07-08_final
2021-07-08 09:52:05	ga_ls8c_ard_3-2-0_096071_2021-07-08_final
2021-07-08 09:52:29	ga_ls8c_ard_3-2-0_096072_2021-07-08_final
2021-07-08 09:52:53	ga_ls8c_ard_3-2-0_096073_2021-07-08_final
2021-07-08 09:53:17	ga_ls8c_ard_3-2-0_096074_2021-07-08_final
2021-07-08 09:53:41	ga_ls8c_ard_3-2-0_096075_2021-07-08_final
2021-07-08 09:54:05	ga_ls8c_ard_3-2-0_096076_2021-07-08_final
2021-07-08 09:54:29	ga_ls8c_ard_3-2-0_096077_2021-07-08_final
2021-07-08 09:54:53	ga_ls8c_ard_3-2-0_096078_2021-07-08_final
2021-07-08 09:55:17	ga_ls8c_ard_3-2-0_096079_2021-07-08_final
2021-07-08 09:55:41	ga_ls8c_ard_3-2-0_096080_2021-07-08_final
2021-07-08 09:56:05	ga_ls8c_ard_3-2-0_096081_2021-07-08_final
2021-07-08 09:56:29	ga_ls8c_ard_3-2-0_096082_2021-07-08_final
2021-07-08 09:56:53	ga_ls8c_ard_3-2-0_096083_2021-07-08_final
2021-07-08 09:57:17	ga_ls8c_ard_3-2-0_096084_2021-07-08_final
2021-07-08 09:57:41	ga_ls8c_ard_3-2-0_096085_2021-07-08_final
2021-07-08 09:58:05	ga_ls8c_ard_3-2-0_096086_2021-07-08_final
2021-07-08 11:29:23	ga_ls8c_ard_3-2-0_112067_2021-07-08_final
2021-07-08 11:29:47	ga_ls8c_ard_3-2-0_112068_2021-07-08_final
2021-07-08 11:30:11	ga_ls8c_ard_3-2-0_112069_2021-07-08_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-07-08 11:31:22	ga_ls8c_ard_3-2-0_112072_2021-07-08_final
2021-07-08 11:31:46	ga_ls8c_ard_3-2-0_112073_2021-07-08_final
2021-07-08 11:32:10	ga_ls8c_ard_3-2-0_112074_2021-07-08_final
2021-07-08 11:32:34	ga_ls8c_ard_3-2-0_112075_2021-07-08_final
2021-07-08 11:32:58	ga_ls8c_ard_3-2-0_112076_2021-07-08_final
2021-07-08 11:33:22	ga_ls8c_ard_3-2-0_112077_2021-07-08_final
2021-07-08 11:33:46	ga_ls8c_ard_3-2-0_112078_2021-07-08_final
2021-07-08 11:34:10	ga_ls8c_ard_3-2-0_112079_2021-07-08_final
2021-07-08 11:34:34	ga_ls8c_ard_3-2-0_112080_2021-07-08_final
2021-07-08 11:34:58	ga_ls8c_ard_3-2-0_112081_2021-07-08_final
2021-07-08 11:35:22	ga_ls8c_ard_3-2-0_112082_2021-07-08_final
2021-07-08 11:35:46	ga_ls8c_ard_3-2-0_112083_2021-07-08_final
2021-07-08 11:36:10	ga_ls8c_ard_3-2-0_112084_2021-07-08_final
2021-07-09 10:34:09	ga_ls8c_ard_3-2-0_103068_2021-07-09_final
2021-07-09 10:35:21	ga_ls8c_ard_3-2-0_103071_2021-07-09_final
2021-07-09 10:35:45	ga_ls8c_ard_3-2-0_103072_2021-07-09_final
2021-07-09 10:36:09	ga_ls8c_ard_3-2-0_103073_2021-07-09_final
2021-07-09 10:37:21	ga_ls8c_ard_3-2-0_103076_2021-07-09_final
2021-07-09 10:37:45	ga_ls8c_ard_3-2-0_103077_2021-07-09_final
2021-07-09 10:38:09	ga_ls8c_ard_3-2-0_103078_2021-07-09_final
2021-07-09 10:39:21	ga_ls8c_ard_3-2-0_103081_2021-07-09_final

Return to ga_ls8c_ard_3 across July 2021 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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2021

July

All days